From 3cbea1df567448b4557a717f9c428ba7d89fdfea Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 31 Aug 2023 14:59:10 +0000 Subject: [PATCH] Update best-of list for version 2023.08.31 --- README.md | 3776 ++++++++++++++++--------------- history/2023-08-31_changes.md | 30 + history/2023-08-31_projects.csv | 915 ++++++++ latest-changes.md | 40 +- 4 files changed, 2904 insertions(+), 1857 deletions(-) create mode 100644 history/2023-08-31_changes.md create mode 100644 history/2023-08-31_projects.csv diff --git a/README.md b/README.md index 18eac980..61638353 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@

-This curated list contains 910 awesome open-source projects with a total of 4M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 910 awesome open-source projects with a total of 4.1M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! --- @@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 89K Β· πŸ“¦ 300K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 72K Β· πŸ“¦ 300K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month Β· πŸ“¦ 15K Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month): ``` pip install tensorflow ``` @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 24.08.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 31.08.2023): ``` docker pull tensorflow/tensorflow ```
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scikit-learn (πŸ₯‡52 Β· ⭐ 55K) - scikit-learn: machine learning in Python. BSD-3 +
scikit-learn (πŸ₯‡52 Β· ⭐ 56K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 890 Β· πŸ“¦ 590K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 24K Β· πŸ“₯ 890 Β· πŸ“¦ 590K Β· πŸ“‹ 10K - 15% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 41M / month Β· πŸ“¦ 29K Β· ⏱️ 30.06.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 42M / month): ``` pip install scikit-learn ``` @@ -135,14 +135,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge scikit-learn ```
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PyTorch (πŸ₯‡51 Β· ⭐ 70K Β· πŸ“ˆ) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡47 Β· ⭐ 70K Β· πŸ“‰) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.3K Β· πŸ”€ 19K Β· πŸ“₯ 22K Β· πŸ“¦ 10 Β· πŸ“‹ 37K - 33% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.3K Β· πŸ”€ 19K Β· πŸ“₯ 23K Β· πŸ“¦ 11 Β· πŸ“‹ 36K - 32% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 11M / month Β· πŸ“¦ 10K Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 11M / month): ``` pip install torch ``` @@ -151,89 +151,89 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
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Keras (πŸ₯‡45 Β· ⭐ 59K) - Deep Learning for humans. Apache-2 +
StatsModels (πŸ₯‡44 Β· ⭐ 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 10 Β· πŸ“‹ 12K - 3% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.6K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.2K - 47% open Β· ⏱️ 10.08.2023): ``` - git clone https://github.com/keras-team/keras + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month Β· πŸ“¦ 620 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 11M / month): ``` - pip install keras + pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.2M Β· ⏱️ 28.07.2023): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 11M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge keras + conda install -c conda-forge statsmodels ```
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XGBoost (πŸ₯‡44 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
Keras (πŸ₯‡43 Β· ⭐ 59K Β· πŸ“‰) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 6.9K Β· πŸ“¦ 65K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 18K Β· πŸ“¦ 11 Β· πŸ“‹ 12K - 2% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/dmlc/xgboost + git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 10M / month Β· πŸ“¦ 1.7K Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month): ``` - pip install xgboost + pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.2M Β· ⏱️ 05.08.2023): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.2M Β· ⏱️ 28.07.2023): ``` - conda install -c conda-forge xgboost + conda install -c conda-forge keras ```
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StatsModels (πŸ₯‡44 Β· ⭐ 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
XGBoost (πŸ₯‡43 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.3K - 49% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.1K Β· πŸ“₯ 7K Β· πŸ“¦ 65K Β· πŸ“‹ 4.9K - 6% open Β· ⏱️ 31.08.2023): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 11M / month Β· πŸ“¦ 5.2K Β· ⏱️ 05.05.2023): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 9.9M / month): ``` - pip install statsmodels + pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 11M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.2M Β· ⏱️ 26.08.2023): ``` - conda install -c conda-forge statsmodels + conda install -c conda-forge xgboost ```
jax (πŸ₯‡43 Β· ⭐ 24K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 2.2K Β· πŸ“¦ 17K Β· πŸ“‹ 4.4K - 27% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 2.2K Β· πŸ“¦ 17K Β· πŸ“‹ 4.5K - 27% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 2.8M / month): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 2.9M / month): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 890K Β· ⏱️ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 900K Β· ⏱️ 30.07.2023): ``` conda install -c conda-forge jaxlib ```
LightGBM (πŸ₯‡43 Β· ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 200K Β· πŸ“¦ 24K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 25K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.3M / month): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.3M / month Β· πŸ“¦ 780 Β· ⏱️ 13.07.2023): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 1.9M Β· ⏱️ 14.07.2023): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2M Β· ⏱️ 14.07.2023): ``` conda install -c conda-forge lightgbm ```
PaddlePaddle (πŸ₯ˆ42 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.1K Β· πŸ“₯ 15K Β· πŸ“¦ 280 Β· πŸ“‹ 17K - 6% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.1K Β· πŸ“₯ 15K Β· πŸ“¦ 280 Β· πŸ“‹ 17K - 6% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -243,14 +243,30 @@ _General-purpose machine learning and deep learning frameworks._ pip install paddlepaddle ```
+
Catboost (πŸ₯ˆ41 Β· ⭐ 7.3K Β· πŸ“ˆ) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 + +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 170K Β· πŸ“¦ 9 Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 31.08.2023): + + ``` + git clone https://github.com/catboost/catboost + ``` +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month Β· πŸ“¦ 330 Β· ⏱️ 28.08.2023): + ``` + pip install catboost + ``` +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 28.08.2023): + ``` + conda install -c conda-forge catboost + ``` +
Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Multimodal AI services & pipelines with cloud-native stack: gRPC,.. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 900 Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 950 Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 230K / month): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 220K / month Β· πŸ“¦ 14 Β· ⏱️ 10.08.2023): ``` pip install jina ``` @@ -258,26 +274,26 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 10.08.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 24.08.2023): ``` docker pull jinaai/jina ```
Fastai (πŸ₯ˆ39 Β· ⭐ 24K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 7.2K Β· πŸ“¦ 14K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 15K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 320K / month): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 320K / month Β· πŸ“¦ 330 Β· ⏱️ 28.03.2023): ``` pip install fastai ```
PySpark (πŸ₯ˆ38 Β· ⭐ 37K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 31.08.2023): ``` git clone https://github.com/apache/spark @@ -291,9 +307,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pyspark ```
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pytorch-lightning (πŸ₯ˆ38 Β· ⭐ 24K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 +
pytorch-lightning (πŸ₯ˆ38 Β· ⭐ 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 2.9K Β· πŸ“₯ 13K Β· πŸ“‹ 6.4K - 10% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 2.9K Β· πŸ“₯ 13K Β· πŸ“‹ 6.4K - 10% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/Lightning-AI/lightning @@ -302,7 +318,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 920K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 920K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge pytorch-lightning ``` @@ -323,74 +339,42 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c anaconda mxnet ```
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Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - -- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 14K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 20.12.2022): - - ``` - git clone https://github.com/Theano/Theano - ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 410K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): - ``` - pip install theano - ``` -- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge theano - ``` -
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Flax (πŸ₯ˆ37 Β· ⭐ 4.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
Flax (πŸ₯ˆ37 Β· ⭐ 4.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 500 Β· πŸ“₯ 49 Β· πŸ“¦ 4.1K Β· πŸ“‹ 730 - 13% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 500 Β· πŸ“₯ 49 Β· πŸ“¦ 4.1K Β· πŸ“‹ 730 - 14% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.5M / month): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.9M / month): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 32K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 33K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge flax ```
ivy (πŸ₯ˆ36 Β· ⭐ 13K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.2K Β· πŸ“¦ 80 Β· πŸ“‹ 13K - 31% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.2K Β· πŸ“‹ 13K - 32% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy-core) (πŸ“₯ 38 / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): - ``` - pip install ivy-core - ``` -
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Catboost (πŸ₯ˆ36 Β· ⭐ 7.3K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 - -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 170K Β· πŸ“¦ 9 Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 24.08.2023): - - ``` - git clone https://github.com/catboost/catboost - ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month): - ``` - pip install catboost - ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1.6K / month Β· πŸ“¦ 8 Β· ⏱️ 21.08.2023): ``` - conda install -c conda-forge catboost + pip install ivy ```
Thinc (πŸ₯ˆ36 Β· ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 280 Β· πŸ“¦ 35K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 270 Β· πŸ“¦ 36K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.6M / month Β· πŸ“¦ 630 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5M / month): ``` pip install thinc ``` @@ -401,7 +385,7 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 20.07.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit @@ -417,28 +401,28 @@ _General-purpose machine learning and deep learning frameworks._
einops (πŸ₯ˆ34 Β· ⭐ 7.2K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 16K Β· πŸ“‹ 150 - 18% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 310 Β· πŸ“¦ 16K Β· πŸ“‹ 150 - 20% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.4M / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.5M / month Β· πŸ“¦ 620 Β· ⏱️ 14.08.2023): ``` pip install einops ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge einops ```
Chainer (πŸ₯ˆ34 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT -- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.1K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.1K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): ``` git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 18K / month Β· πŸ“¦ 400 Β· ⏱️ 05.01.2022): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 17K / month): ``` pip install chainer ``` @@ -449,24 +433,24 @@ _General-purpose machine learning and deep learning frameworks._
PyFlink (πŸ₯ˆ33 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 10 Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 11 Β· ⏱️ 31.08.2023): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 57K / month): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 52K / month): ``` pip install apache-flink ```
skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 350 Β· πŸ“¦ 930 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 350 Β· πŸ“¦ 940 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 69K / month): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 70K / month): ``` pip install skorch ``` @@ -475,22 +459,50 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
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mlpack (πŸ₯‰32 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 + +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 24.08.2023): + + ``` + git clone https://github.com/mlpack/mlpack + ``` +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 29.12.2022): + ``` + pip install mlpack + ``` +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 160K Β· ⏱️ 17.06.2023): + ``` + conda install -c conda-forge mlpack + ``` +
Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 220 Β· πŸ“¦ 1.4K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 220 Β· πŸ“¦ 1.4K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 180K / month): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 190K / month): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 12K Β· ⏱️ 14.07.2023): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 13K Β· ⏱️ 14.07.2023): ``` conda install -c conda-forge dm-haiku ```
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tensorflow-upstream (πŸ₯‰32 Β· ⭐ 660) - TensorFlow ROCm port. Apache-2 + +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 29.08.2023): + + ``` + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + ``` +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 09.07.2023): + ``` + pip install tensorflow-rocm + ``` +
Sonnet (πŸ₯‰31 Β· ⭐ 9.6K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 21.07.2023): @@ -498,7 +510,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 25K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 22K / month): ``` pip install dm-sonnet ``` @@ -507,14 +519,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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Ludwig (πŸ₯‰31 Β· ⭐ 9.2K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 +
Ludwig (πŸ₯‰31 Β· ⭐ 9.4K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 190 Β· πŸ“‹ 930 - 24% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 190 Β· πŸ“‹ 940 - 24% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.3K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.3K / month): ``` pip install ludwig ``` @@ -526,7 +538,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 15K / month): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 14K / month): ``` pip install tensorpack ``` @@ -535,18 +547,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge tensorpack ```
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tensorflow-upstream (πŸ₯‰31 Β· ⭐ 650) - TensorFlow ROCm port. Apache-2 - -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 78 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 22.08.2023): - - ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream - ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 09.07.2023): - ``` - pip install tensorflow-rocm - ``` -
CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - [GitHub](https://github.com/microsoft/CNTK) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 4.4K Β· πŸ“₯ 14K Β· πŸ“‹ 3.4K - 24% open Β· ⏱️ 23.09.2022): @@ -554,19 +554,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/microsoft/CNTK ``` -- [PyPi](https://pypi.org/project/cntk) (πŸ“₯ 530 / month Β· πŸ“¦ 19 Β· ⏱️ 09.12.2020): +- [PyPi](https://pypi.org/project/cntk) (πŸ“₯ 460 / month Β· πŸ“¦ 19 Β· ⏱️ 09.12.2020): ``` pip install cntk ```
Ignite (πŸ₯‰30 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 88K / month): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 100K / month): ``` pip install pytorch-ignite ``` @@ -582,11 +582,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 27K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 22K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
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Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 + +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 340 Β· πŸ“₯ 700 Β· πŸ“‹ 92 - 36% open Β· ⏱️ 22.08.2023): + + ``` + git clone https://github.com/sony/nnabla + ``` +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): + ``` + pip install nnabla + ``` +
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EvaDB (πŸ₯‰30 Β· ⭐ 2.2K) - Bring AI inside your Database System & build AI-powered apps. Apache-2 + +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 170 Β· πŸ“₯ 400K Β· πŸ“¦ 19 Β· πŸ“‹ 140 - 22% open Β· ⏱️ 31.08.2023): + + ``` + git clone https://github.com/georgia-tech-db/eva + ``` +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 990 / month): + ``` + pip install evadb + ``` +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 450 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 17.08.2023): @@ -601,23 +625,23 @@ _General-purpose machine learning and deep learning frameworks._
Geomstats (πŸ₯‰30 Β· ⭐ 980) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 210 Β· πŸ“¦ 77 Β· πŸ“‹ 500 - 33% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 220 Β· πŸ“¦ 78 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.9K / month): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.9K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.5K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.6K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge geomstats ```
Determined (πŸ₯‰29 Β· ⭐ 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7K Β· πŸ“‹ 320 - 9% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7K Β· πŸ“‹ 320 - 9% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/determined-ai/determined @@ -627,70 +651,46 @@ _General-purpose machine learning and deep learning frameworks._ pip install determined ```
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EvaDB (πŸ₯‰29 Β· ⭐ 2.2K) - Database system for building simpler and faster AI-powered.. Apache-2 - -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 160 Β· πŸ“₯ 400K Β· πŸ“¦ 18 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 24.08.2023): - - ``` - git clone https://github.com/georgia-tech-db/eva - ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 520 / month Β· ⏱️ 20.06.2022): - ``` - pip install evadb - ``` -
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Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K Β· πŸ“‰) - Neural Network Libraries. Apache-2 +
Towhee (πŸ₯‰27 Β· ⭐ 2.6K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 330 Β· πŸ“₯ 700 Β· πŸ“‹ 79 - 26% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 230 Β· πŸ“₯ 1.2K Β· πŸ“‹ 640 - 2% open Β· ⏱️ 14.08.2023): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.6K / month Β· ⏱️ 07.07.2022): ``` - pip install nnabla + pip install towhee ```
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Towhee (πŸ₯‰27 Β· ⭐ 2.6K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Neural Tangents (πŸ₯‰27 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 230 Β· πŸ“₯ 1.2K Β· πŸ“‹ 640 - 2% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 230 Β· πŸ“₯ 320 Β· πŸ“¦ 78 Β· πŸ“‹ 140 - 36% open Β· ⏱️ 29.08.2023): ``` - git clone https://github.com/towhee-io/towhee + git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.6K / month Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.1K / month): ``` - pip install towhee + pip install neural-tangents ```
pyRiemann (πŸ₯‰27 Β· ⭐ 520) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 270 Β· πŸ“‹ 100 - 8% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 8% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 30K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 3.8K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 3.9K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge pyriemann ```
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Neural Tangents (πŸ₯‰26 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 230 Β· πŸ“₯ 320 Β· πŸ“¦ 78 Β· πŸ“‹ 140 - 40% open Β· ⏱️ 22.08.2023): - - ``` - git clone https://github.com/google/neural-tangents - ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 23.02.2022): - ``` - pip install neural-tangents - ``` -
fklearn (πŸ₯‰25 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 63 - 61% open Β· ⏱️ 11.04.2023): @@ -698,7 +698,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.8K / month Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.6K / month Β· ⏱️ 16.08.2023): ``` pip install fklearn ``` @@ -710,7 +710,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 1.7K / month Β· πŸ“¦ 12 Β· ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 1.8K / month): ``` pip install neupy ``` @@ -722,19 +722,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 260 / month): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 250 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
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NeoML (πŸ₯‰20 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰19 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 84 - 40% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 23% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 130 / month Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 110 / month): ``` pip install neoml ``` @@ -746,19 +746,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 550 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 530 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ```
ThunderGBM (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 83 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 13.09.2022): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 13.09.2022): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 45 / month): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 37 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -766,18 +766,18 @@ _General-purpose machine learning and deep learning frameworks._
Show 15 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 +- Theano (πŸ₯ˆ36 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed - MindsDB (πŸ₯ˆ33 Β· ⭐ 18K) - MindsDB connects AI models to databases. ❗️GPL-3.0 -- TFlearn (πŸ₯ˆ33 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- mlpack (πŸ₯‰30 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed +- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed - NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 -- xLearn (πŸ₯‰25 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 +- xLearn (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - mace (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Torchbearer (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT -- Objax (πŸ₯‰19 Β· ⭐ 740) - Apache-2 +- Objax (πŸ₯‰19 Β· ⭐ 750) - Apache-2 - elegy (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT
@@ -789,14 +789,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡48 Β· ⭐ 18K) - matplotlib: plotting with Python. ❗Unlicensed +
Matplotlib (πŸ₯‡50 Β· ⭐ 18K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 6.8K Β· πŸ“¦ 920K Β· πŸ“‹ 9.7K - 12% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 930K Β· πŸ“‹ 10K - 14% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 37M / month): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 38M / month Β· πŸ“¦ 61K Β· ⏱️ 10.08.2023): ``` pip install matplotlib ``` @@ -805,14 +805,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge matplotlib ```
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Bokeh (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“‰) - Interactive Data Visualization in the browser, from Python. BSD-3 +
Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4K Β· πŸ“¦ 75K Β· πŸ“‹ 7.4K - 9% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 75K Β· πŸ“‹ 7.4K - 10% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.7M / month): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.6M / month Β· πŸ“¦ 3.7K Β· ⏱️ 14.08.2023): ``` pip install bokeh ``` @@ -821,14 +821,34 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge bokeh ```
+
Plotly (πŸ₯‡43 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT + +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.4K Β· πŸ“¦ 11 Β· πŸ“‹ 2.8K - 51% open Β· ⏱️ 24.08.2023): + + ``` + git clone https://github.com/plotly/plotly.py + ``` +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 12M / month Β· πŸ“¦ 5.1K Β· ⏱️ 16.08.2023): + ``` + pip install plotly + ``` +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 4.7M Β· ⏱️ 16.08.2023): + ``` + conda install -c conda-forge plotly + ``` +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 37K / month Β· πŸ“¦ 6 Β· ⏱️ 12.01.2021): + ``` + npm install plotlywidget + ``` +
Seaborn (πŸ₯‡42 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 260 Β· πŸ“¦ 290K Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 270 Β· πŸ“¦ 300K Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9.9M / month): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 10M / month Β· πŸ“¦ 11K Β· ⏱️ 02.02.2023): ``` pip install seaborn ``` @@ -839,70 +859,66 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡42 Β· ⭐ 8.4K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 76 Β· πŸ“¦ 69K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 750 Β· πŸ“₯ 81 Β· πŸ“¦ 70K Β· πŸ“‹ 1.9K - 10% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 14M / month): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 14M / month Β· πŸ“¦ 590 Β· ⏱️ 30.08.2023): ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2M Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2M Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge altair ```
dash (πŸ₯‡40 Β· ⭐ 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 51K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 51K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 28.08.2023): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge dash ```
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Plotly (πŸ₯‡39 Β· ⭐ 14K) - The interactive graphing library for Python This project now includes.. MIT +
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 2.7K - 49% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.2K Β· πŸ“‹ 710 - 24% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/plotly/plotly.py - ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 12M / month): - ``` - pip install plotly + git clone https://github.com/ydataai/pandas-profiling ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 4.7M Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 970K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): ``` - conda install -c conda-forge plotly + pip install pandas-profiling ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 38K / month): +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 390K Β· ⏱️ 16.06.2023): ``` - npm install plotlywidget + conda install -c conda-forge pandas-profiling ```
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pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT +
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.2K Β· πŸ“‹ 700 - 24% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 7.8K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 31.08.2023): ``` - git clone https://github.com/ydataai/pandas-profiling + git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 940K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 120K / month Β· πŸ“¦ 920 Β· ⏱️ 29.09.2022): ``` - pip install pandas-profiling + pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 390K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 450K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pandas-profiling + conda install -c conda-forge pyqtgraph ```
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT @@ -912,7 +928,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 110K / month): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 130K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): ``` pip install pyecharts ``` @@ -933,21 +949,21 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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FiftyOne (πŸ₯ˆ35 Β· ⭐ 4K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ35 Β· ⭐ 4.1K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 400 Β· πŸ“¦ 380 Β· πŸ“‹ 1.4K - 36% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 400 Β· πŸ“¦ 390 Β· πŸ“‹ 1.4K - 36% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 100K / month Β· πŸ“¦ 8 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 67K / month Β· πŸ“¦ 8 Β· ⏱️ 08.08.2023): ``` pip install fiftyone ```
plotnine (πŸ₯ˆ35 Β· ⭐ 3.5K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 5.6K Β· πŸ“‹ 580 - 13% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 5.7K Β· πŸ“‹ 580 - 13% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/has2k1/plotnine @@ -956,11 +972,31 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 290K Β· ⏱️ 31.07.2023): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 300K Β· ⏱️ 31.07.2023): ``` conda install -c conda-forge plotnine ```
+
HoloViews (πŸ₯ˆ35 Β· ⭐ 2.5K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 + +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/holoviz/holoviews + ``` +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 320K / month Β· πŸ“¦ 250 Β· ⏱️ 16.08.2023): + ``` + pip install holoviews + ``` +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 17.08.2023): + ``` + conda install -c conda-forge holoviews + ``` +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 16.08.2023): + ``` + npm install @pyviz/jupyterlab_pyviz + ``` +
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.4K) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 52K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 22.07.2023): @@ -968,18 +1004,18 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.5M / month Β· πŸ“¦ 3.3K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.4M / month Β· πŸ“¦ 3.3K Β· ⏱️ 23.07.2022): ``` pip install graphviz ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): ``` conda install -c anaconda python-graphviz ```
wordcloud (πŸ₯ˆ34 Β· ⭐ 9.6K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 520 - 20% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.3K Β· πŸ“¦ 11 Β· πŸ“‹ 520 - 20% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/amueller/word_cloud @@ -993,30 +1029,50 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
+
VisPy (πŸ₯ˆ34 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3 + +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 25.08.2023): + + ``` + git clone https://github.com/vispy/vispy + ``` +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 78K / month Β· πŸ“¦ 130 Β· ⏱️ 12.05.2023): + ``` + pip install vispy + ``` +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 420K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge vispy + ``` +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 12 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): + ``` + npm install vispy + ``` +
PyVista (πŸ₯ˆ34 Β· ⭐ 1.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“₯ 780 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“₯ 780 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 120K / month Β· πŸ“¦ 200 Β· ⏱️ 21.07.2023): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 380K Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 390K Β· ⏱️ 21.07.2023): ``` conda install -c conda-forge pyvista ```
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datashader (πŸ₯ˆ33 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 +
datashader (πŸ₯ˆ33 Β· ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 2.8K Β· πŸ“‹ 560 - 23% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 75K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 79K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): ``` pip install datashader ``` @@ -1025,82 +1081,62 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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bqplot (πŸ₯ˆ31 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.2K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 450 Β· πŸ“¦ 46 Β· πŸ“‹ 590 - 37% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 840 Β· πŸ“‹ 530 - 10% open Β· ⏱️ 23.08.2023): ``` - git clone https://github.com/bqplot/bqplot - ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 170K / month): - ``` - pip install bqplot + git clone https://github.com/man-group/dtale ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 220K / month Β· πŸ“¦ 17 Β· ⏱️ 19.07.2023): ``` - conda install -c conda-forge bqplot + pip install dtale ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.2K / month): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 240K Β· ⏱️ 19.07.2023): ``` - npm install bqplot + conda install -c conda-forge dtale ```
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HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 +
bqplot (πŸ₯ˆ31 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3K - 32% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 470 Β· πŸ“¦ 46 Β· πŸ“‹ 610 - 40% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/holoviz/holoviews + git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 310K / month): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 160K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2023): ``` - pip install holoviews + pip install bqplot ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): ``` - conda install -c conda-forge holoviews + conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 780 / month): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.2K / month Β· πŸ“¦ 16 Β· ⏱️ 04.08.2023): ``` - npm install @pyviz/jupyterlab_pyviz + npm install bqplot ```
Perspective (πŸ₯ˆ30 Β· ⭐ 6.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 800 Β· πŸ“₯ 760 Β· πŸ“¦ 11 Β· πŸ“‹ 650 - 13% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 820 Β· πŸ“₯ 840 Β· πŸ“¦ 11 Β· πŸ“‹ 670 - 15% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.6K / month): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.4K / month Β· πŸ“¦ 11 Β· ⏱️ 15.08.2023): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 430K Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 440K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1K / month): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 970 / month Β· πŸ“¦ 3 Β· ⏱️ 15.08.2023): ``` npm install @finos/perspective-jupyterlab ```
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D-Tale (πŸ₯ˆ30 Β· ⭐ 4.2K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 830 Β· πŸ“‹ 530 - 9% open Β· ⏱️ 23.08.2023): - - ``` - git clone https://github.com/man-group/dtale - ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 230K / month Β· πŸ“¦ 17 Β· ⏱️ 19.07.2023): - ``` - pip install dtale - ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 240K Β· ⏱️ 19.07.2023): - ``` - conda install -c conda-forge dtale - ``` -
missingno (πŸ₯ˆ30 Β· ⭐ 3.6K) - Missing data visualization module for Python. MIT - [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 460 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): @@ -1108,7 +1144,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 450K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 460K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): ``` pip install missingno ``` @@ -1124,7 +1160,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 270K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 290K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1132,103 +1168,123 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 720 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 750 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
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lets-plot (πŸ₯ˆ30 Β· ⭐ 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT + +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 48 Β· πŸ“₯ 530 Β· πŸ“¦ 42 Β· πŸ“‹ 410 - 26% open Β· ⏱️ 31.08.2023): + + ``` + git clone https://github.com/JetBrains/lets-plot + ``` +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 15K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): + ``` + pip install lets-plot + ``` +
hvPlot (πŸ₯ˆ30 Β· ⭐ 800) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 88 Β· πŸ“¦ 3.5K Β· πŸ“‹ 650 - 42% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 88 Β· πŸ“¦ 3.5K Β· πŸ“‹ 650 - 42% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 140K / month Β· πŸ“¦ 82 Β· ⏱️ 08.06.2023): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 150K / month Β· πŸ“¦ 82 Β· ⏱️ 08.06.2023): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 440K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 450K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge hvplot ```
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lets-plot (πŸ₯‰29 Β· ⭐ 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT +
Facets Overview (πŸ₯‰29 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 48 Β· πŸ“₯ 530 Β· πŸ“¦ 41 Β· πŸ“‹ 410 - 26% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 910 Β· πŸ“¦ 200 Β· πŸ“‹ 160 - 50% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/JetBrains/lets-plot + git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 180K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` - pip install lets-plot + pip install facets-overview ```
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data-validation (πŸ₯‰29 Β· ⭐ 730) - Library for exploring and validating machine learning.. Apache-2 +
Sweetviz (πŸ₯‰29 Β· ⭐ 2.6K Β· πŸ“ˆ) - Visualize and compare datasets, target values and associations, with.. MIT -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 730 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.7K Β· πŸ“‹ 130 - 35% open Β· ⏱️ 25.08.2023): ``` - git clone https://github.com/tensorflow/data-validation + git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 220K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 66K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2023): ``` - pip install tensorflow-data-validation + pip install sweetviz + ``` +- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 24K Β· ⏱️ 28.08.2023): + ``` + conda install -c conda-forge sweetviz ```
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Facets Overview (πŸ₯‰28 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 +
AutoViz (πŸ₯‰29 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 870 Β· πŸ“¦ 200 Β· πŸ“‹ 160 - 49% open Β· ⏱️ 24.05.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 540 Β· πŸ“‹ 77 - 2% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/pair-code/facets + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 190K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): ``` - pip install facets-overview + pip install autoviz + ``` +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 41K Β· ⏱️ 21.07.2023): + ``` + conda install -c conda-forge autoviz ```
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AutoViz (πŸ₯‰27 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
data-validation (πŸ₯‰29 Β· ⭐ 730) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 540 Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 730 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 21.08.2023): ``` - git clone https://github.com/AutoViML/AutoViz - ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 320K / month): - ``` - pip install autoviz + git clone https://github.com/tensorflow/data-validation ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 41K Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 210K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` - conda install -c conda-forge autoviz + pip install tensorflow-data-validation ```
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Plotly-Resampler (πŸ₯‰27 Β· ⭐ 780) - Visualize large time series data with plotly.py. MIT +
pythreejs (πŸ₯‰28 Β· ⭐ 890) - A Jupyter - Three.js bridge. BSD-3 -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 51 Β· πŸ“¦ 500 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“¦ 26 Β· πŸ“‹ 230 - 26% open Β· ⏱️ 20.02.2023): ``` - git clone https://github.com/predict-idlab/plotly-resampler + git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 450K / month): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 76K / month Β· πŸ“¦ 53 Β· ⏱️ 20.02.2023): ``` - pip install plotly-resampler + pip install pythreejs ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 27K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 500K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge plotly-resampler + conda install -c conda-forge pythreejs + ``` +- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 3.8K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): + ``` + npm install jupyter-threejs ```
openTSNE (πŸ₯‰26 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“¦ 640 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 640 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 23K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): ``` pip install opentsne ``` @@ -1237,14 +1293,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge opentsne ```
+
Plotly-Resampler (πŸ₯‰26 Β· ⭐ 790) - Visualize large time series data with plotly.py. MIT + +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 53 Β· πŸ“¦ 510 Β· πŸ“‹ 130 - 29% open Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/predict-idlab/plotly-resampler + ``` +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 410K / month Β· πŸ“¦ 5 Β· ⏱️ 29.06.2022): + ``` + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 27K Β· ⏱️ 11.08.2023): + ``` + conda install -c conda-forge plotly-resampler + ``` +
Chartify (πŸ₯‰25 Β· ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 73 Β· πŸ“‹ 74 - 58% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 310 Β· πŸ“¦ 73 Β· πŸ“‹ 79 - 60% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.8K / month): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2K / month Β· πŸ“¦ 10 Β· ⏱️ 23.08.2023): ``` pip install chartify ``` @@ -1255,16 +1327,16 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (πŸ₯‰25 Β· ⭐ 2.5K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 300 Β· πŸ“‹ 85 - 15% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 300 Β· πŸ“‹ 92 - 20% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 23K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): ``` pip install hiplot ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hiplot ``` @@ -1276,7 +1348,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 27K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 25K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1287,24 +1359,24 @@ _General-purpose and task-specific data visualization libraries._
Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 860) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 500 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 510 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
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vega (πŸ₯‰24 Β· ⭐ 360 Β· πŸ“ˆ) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰24 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 62 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 62 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.4K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 8.9K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): ``` pip install vega ``` @@ -1313,22 +1385,6 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge vega ```
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Sweetviz (πŸ₯‰23 Β· ⭐ 2.5K) - Visualize and compare datasets, target values and associations, with one.. MIT - -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 250 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 30.06.2023): - - ``` - git clone https://github.com/fbdesignpro/sweetviz - ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 66K / month Β· πŸ“¦ 10 Β· ⏱️ 14.06.2022): - ``` - pip install sweetviz - ``` -- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge sweetviz - ``` -
python-ternary (πŸ₯‰23 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 10.07.2023): @@ -1345,14 +1401,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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Popmon (πŸ₯‰22 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT +
Popmon (πŸ₯‰23 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.8K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 8.6K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ``` @@ -1364,7 +1420,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 34K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 32K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` pip install pdpbox ``` @@ -1380,29 +1436,26 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 340 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 420 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ```
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Show 16 hidden projects... +
Show 13 hidden projects... -- PyQtGraph (πŸ₯ˆ34 Β· ⭐ 3.4K Β· πŸ“‰) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed - cartopy (πŸ₯ˆ34 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 -- VisPy (πŸ₯ˆ33 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. ❗Unlicensed - Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT -- pythreejs (πŸ₯‰25 Β· ⭐ 890) - A Jupyter - Three.js bridge. ❗Unlicensed - PandasGUI (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- pivottablejs (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 490 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT -- pivottablejs (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed +- PyWaffle (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT - vegafusion (πŸ₯‰21 Β· ⭐ 260) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- PyWaffle (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT - animatplot (πŸ₯‰19 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT -- data-describe (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - pdvega (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- nx-altair (πŸ₯‰12 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- nptsne (πŸ₯‰11 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- data-describe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 +- nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- nptsne (πŸ₯‰13 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1414,28 +1467,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡50 Β· ⭐ 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 21K Β· πŸ“₯ 140 Β· πŸ“¦ 94K Β· πŸ“‹ 13K - 4% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 96K Β· πŸ“‹ 13K - 6% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 16M / month): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 16M / month Β· πŸ“¦ 2.1K Β· ⏱️ 28.08.2023): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.3M Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.3M Β· ⏱️ 28.08.2023): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 68K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 68K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.8M / month): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6M / month): ``` pip install spacy ``` @@ -1444,42 +1497,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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nltk (πŸ₯‡42 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.8K Β· πŸ“¦ 210K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.06.2023): - - ``` - git clone https://github.com/nltk/nltk - ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 11M / month Β· πŸ“¦ 13K Β· ⏱️ 02.01.2023): - ``` - pip install nltk - ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.2M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge nltk - ``` -
Rasa (πŸ₯‡41 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.3K Β· πŸ“¦ 3.6K Β· πŸ“‹ 6.6K - 0% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month Β· πŸ“¦ 66 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month): ``` pip install rasa ```
gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.4K Β· πŸ“¦ 49K Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.4K Β· πŸ“¦ 50K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 27.08.2023): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.8M / month Β· πŸ“¦ 3.1K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.9M / month): ``` pip install gensim ``` @@ -1488,53 +1525,69 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge gensim ```
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fairseq (πŸ₯‡37 Β· ⭐ 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
nltk (πŸ₯‡41 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.8K Β· πŸ“₯ 320 Β· πŸ“¦ 1.9K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 220K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.06.2023): ``` - git clone https://github.com/facebookresearch/fairseq + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 280K / month): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 12M / month): ``` - pip install fairseq + pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.2M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge fairseq + conda install -c conda-forge nltk ```
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haystack (πŸ₯‡36 Β· ⭐ 10K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 +
haystack (πŸ₯‡37 Β· ⭐ 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.3K Β· πŸ“₯ 23 Β· πŸ“¦ 850 Β· πŸ“‹ 2.4K - 15% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.3K Β· πŸ“₯ 23 Β· πŸ“¦ 860 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.4K / month): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.3K / month Β· πŸ“¦ 87 Β· ⏱️ 03.07.2017): ``` pip install haystack ```
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TextBlob (πŸ₯‡36 Β· ⭐ 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
fairseq (πŸ₯‡36 Β· ⭐ 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 32K Β· πŸ“‹ 270 - 42% open Β· ⏱️ 11.03.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.8K Β· πŸ“₯ 320 Β· πŸ“¦ 1.9K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 18.08.2023): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 630K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 320K / month): ``` - pip install textblob + pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge textblob + conda install -c conda-forge fairseq + ``` +
+
AllenNLP (πŸ₯‡36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 + +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.3K Β· πŸ“₯ 61 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): + + ``` + git clone https://github.com/allenai/allennlp + ``` +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 42K / month Β· πŸ“¦ 190 Β· ⏱️ 18.10.2022): + ``` + pip install allennlp + ``` +- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge allennlp ```
Tokenizers (πŸ₯‡36 Β· ⭐ 7.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 610 Β· πŸ“₯ 31 Β· πŸ“¦ 39K Β· πŸ“‹ 810 - 29% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 610 Β· πŸ“₯ 31 Β· πŸ“¦ 40K Β· πŸ“‹ 810 - 29% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/huggingface/tokenizers @@ -1548,6 +1601,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge tokenizers ```
+
fastText (πŸ₯‡35 Β· ⭐ 25K) - Library for fast text representation and classification. MIT + +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 4.5K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 25.08.2023): + + ``` + git clone https://github.com/facebookresearch/fastText + ``` +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month): + ``` + pip install fasttext + ``` +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge fasttext + ``` +
sentence-transformers (πŸ₯‡35 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 14K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 08.08.2023): @@ -1555,131 +1624,115 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.4M / month Β· πŸ“¦ 400 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.5M / month Β· πŸ“¦ 420 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sentence-transformers ```
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AllenNLP (πŸ₯‡35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +
TextBlob (πŸ₯‡35 Β· ⭐ 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.2K Β· πŸ“₯ 61 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 32K Β· πŸ“‹ 260 - 39% open Β· ⏱️ 11.03.2023): ``` - git clone https://github.com/allenai/allennlp + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 42K / month): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 620K / month): ``` - pip install allennlp + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge allennlp + conda install -c conda-forge textblob ```
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NeMo (πŸ₯‡35 Β· ⭐ 7.7K) - NeMo: a toolkit for conversational AI. Apache-2 +
sentencepiece (πŸ₯‡35 Β· ⭐ 8.1K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.7K Β· πŸ“₯ 62K Β· πŸ“¦ 10 Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 990 Β· πŸ“₯ 30K Β· πŸ“¦ 39K Β· πŸ“‹ 650 - 3% open Β· ⏱️ 05.08.2023): + + ``` + git clone https://github.com/google/sentencepiece + ``` +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 9.9M / month): + ``` + pip install sentencepiece + ``` +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 580K Β· ⏱️ 01.07.2023): + ``` + conda install -c conda-forge sentencepiece + ``` +
+
NeMo (πŸ₯‡35 Β· ⭐ 7.8K) - NeMo: a toolkit for conversational AI. Apache-2 + +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.7K Β· πŸ“₯ 65K Β· πŸ“¦ 11 Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 40K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 39K / month): ``` pip install nemo-toolkit ```
OpenNMT (πŸ₯‡35 Β· ⭐ 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 220 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.1K Β· πŸ“¦ 220 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.3K / month Β· πŸ“¦ 10 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.6K / month): ``` pip install OpenNMT-py ```
spark-nlp (πŸ₯‡35 Β· ⭐ 3.4K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 660 Β· πŸ“¦ 330 Β· πŸ“‹ 810 - 4% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 340 Β· πŸ“‹ 810 - 4% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.1M / month Β· πŸ“¦ 25 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 2.4M / month Β· πŸ“¦ 29 Β· ⏱️ 26.08.2023): ``` pip install spark-nlp ```
TensorFlow Text (πŸ₯‡35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.7K Β· πŸ“‹ 220 - 28% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.7K Β· πŸ“‹ 220 - 28% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.5M / month): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.4M / month): ``` pip install tensorflow-text ```
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fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT - -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 4.6K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 21.06.2023): - - ``` - git clone https://github.com/facebookresearch/fastText - ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): - ``` - pip install fasttext - ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge fasttext - ``` -
ParlAI (πŸ₯ˆ34 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.1K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 860 / month): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ```
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sentencepiece (πŸ₯ˆ34 Β· ⭐ 8.1K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 980 Β· πŸ“₯ 30K Β· πŸ“¦ 39K Β· πŸ“‹ 650 - 3% open Β· ⏱️ 05.08.2023): - - ``` - git clone https://github.com/google/sentencepiece - ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 9.9M / month): - ``` - pip install sentencepiece - ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 580K Β· ⏱️ 01.07.2023): - ``` - conda install -c conda-forge sentencepiece - ``` -
rubrix (πŸ₯ˆ34 Β· ⭐ 2.4K) - Argilla: the open-source data curation platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 230 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 16% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 230 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 16% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 270 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 330 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1688,16 +1741,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge rubrix ```
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torchtext (πŸ₯ˆ33 Β· ⭐ 3.4K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 +
stanza (πŸ₯ˆ32 Β· ⭐ 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 810 Β· πŸ“‹ 810 - 37% open Β· ⏱️ 28.07.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 860 Β· πŸ“¦ 2.1K Β· πŸ“‹ 810 - 11% open Β· ⏱️ 14.03.2023): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 440K / month Β· πŸ“¦ 470 Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 120K / month Β· πŸ“¦ 90 Β· ⏱️ 14.03.2023): ``` - pip install torchtext + pip install stanza + ``` +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): + ``` + conda install -c stanfordnlp stanza ```
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2 @@ -1707,51 +1764,67 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.6K / month Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.6K / month): ``` pip install deeppavlov ```
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ftfy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT +
jellyfish (πŸ₯ˆ32 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 25.10.2022): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 6.7K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/rspeer/python-ftfy + git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.5M / month): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.2M / month Β· πŸ“¦ 440 Β· ⏱️ 23.06.2023): ``` - pip install ftfy + pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 670K Β· ⏱️ 02.07.2023): ``` - conda install -c conda-forge ftfy + conda install -c conda-forge jellyfish ```
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jellyfish (πŸ₯ˆ30 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT +
Dedupe (πŸ₯ˆ30 Β· ⭐ 3.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 6.7K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 520 Β· πŸ“¦ 290 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 17.02.2023): ``` - git clone https://github.com/jamesturk/jellyfish + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.2M / month): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 61K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): ``` - pip install jellyfish + pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 660K Β· ⏱️ 02.07.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge jellyfish + conda install -c conda-forge dedupe + ``` +
+
ftfy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT + +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 25.10.2022): + + ``` + git clone https://github.com/rspeer/python-ftfy + ``` +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.4M / month): + ``` + pip install ftfy + ``` +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ftfy ```
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· ⏱️ 11.08.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 280K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 290K / month Β· πŸ“¦ 40 Β· ⏱️ 01.08.2023): ``` pip install spacy-transformers ``` @@ -1767,11 +1840,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 9.5M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 9.4M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7.1M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge snowballstemmer ``` @@ -1783,79 +1856,63 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 560K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 580K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` pip install english-words ```
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Dedupe (πŸ₯ˆ29 Β· ⭐ 3.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT - -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 510 Β· πŸ“¦ 290 Β· πŸ“‹ 790 - 8% open Β· ⏱️ 17.02.2023): - - ``` - git clone https://github.com/dedupeio/dedupe - ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 61K / month): - ``` - pip install dedupe - ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge dedupe - ``` -
GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 520 Β· πŸ“¦ 1.4K Β· πŸ“‹ 560 - 46% open Β· ⏱️ 25.12.2022): +- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 500 Β· πŸ“¦ 1.4K Β· πŸ“‹ 530 - 44% open Β· ⏱️ 25.12.2022): ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 130K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 120K / month): ``` pip install gluonnlp ```
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DeepKE (πŸ₯ˆ29 Β· ⭐ 2.2K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT +
torchtext (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ“‰) - Models, data loaders and abstractions for language.. BSD-3 -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 550 Β· πŸ“¦ 19 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 770 Β· πŸ“‹ 760 - 33% open Β· ⏱️ 28.07.2023): ``` - git clone https://github.com/zjunlp/deepke + git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 610 / month Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 430K / month): ``` - pip install deepke + pip install torchtext ```
Sumy (πŸ₯ˆ28 Β· ⭐ 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 510 Β· πŸ“¦ 2.1K Β· πŸ“‹ 110 - 14% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 520 Β· πŸ“¦ 2.2K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 23K / month): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 23K / month Β· πŸ“¦ 110 Β· ⏱️ 21.04.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.2K Β· πŸ’€) - Compute distance between sequences. 30+ algorithms, pure.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 240 Β· πŸ“₯ 910 Β· πŸ“¦ 4.7K Β· ⏱️ 18.09.2022): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 240 Β· πŸ“₯ 910 Β· πŸ“¦ 4.8K Β· ⏱️ 18.09.2022): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 320K / month): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 320K / month Β· πŸ“¦ 56 Β· ⏱️ 20.09.2022): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 440K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 450K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textdistance ``` @@ -1867,11 +1924,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 20K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): ``` pip install fastnlp ```
+
DeepKE (πŸ₯ˆ28 Β· ⭐ 2.3K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT + +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 550 Β· πŸ“¦ 19 Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/zjunlp/deepke + ``` +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 360 / month Β· ⏱️ 05.08.2023): + ``` + pip install deepke + ``` +
PyTextRank (πŸ₯ˆ28 Β· ⭐ 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 460 Β· πŸ“‹ 97 - 6% open Β· ⏱️ 22.08.2023): @@ -1879,31 +1948,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 57K / month): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 55K / month): ``` pip install pytextrank ```
SciSpacy (πŸ₯ˆ28 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 740 Β· πŸ“‹ 300 - 11% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 200 Β· πŸ“¦ 740 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 57K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 57K / month Β· πŸ“¦ 30 Β· ⏱️ 07.09.2022): ``` pip install scispacy ```
Ciphey (πŸ₯‰27 Β· ⭐ 14K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 850 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 05.12.2022): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 820 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 05.12.2022): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 30K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 33K / month): ``` pip install ciphey ``` @@ -1912,38 +1981,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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qdrant (πŸ₯‰27 Β· ⭐ 12K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 +
qdrant (πŸ₯‰27 Β· ⭐ 13K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 670 Β· πŸ“₯ 800 Β· πŸ“‹ 680 - 20% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 670 Β· πŸ“₯ 900 Β· πŸ“‹ 690 - 20% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/qdrant/qdrant ```
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scattertext (πŸ₯‰27 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 - -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 420 Β· πŸ“‹ 98 - 20% open Β· ⏱️ 06.05.2023): - - ``` - git clone https://github.com/JasonKessler/scattertext - ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 10K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): - ``` - pip install scattertext - ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge scattertext - ``` -
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happy-transformer (πŸ₯‰27 Β· ⭐ 450) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰27 Β· ⭐ 460) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 58 Β· πŸ“¦ 190 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 190 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.4K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ``` @@ -1955,7 +2008,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.7K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.8K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -1966,7 +2019,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
CLTK (πŸ₯‰26 Β· ⭐ 800) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 42 Β· πŸ“¦ 240 Β· πŸ“‹ 550 - 6% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 42 Β· πŸ“¦ 240 Β· πŸ“‹ 550 - 6% open Β· ⏱️ 06.03.2023): ``` git clone https://github.com/cltk/cltk @@ -1976,9 +2029,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install cltk ```
+
T5 (πŸ₯‰25 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 + +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 15.08.2023): + + ``` + git clone https://github.com/google-research/text-to-text-transfer-transformer + ``` +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 180K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): + ``` + pip install t5 + ``` +
OpenPrompt (πŸ₯‰25 Β· ⭐ 3.7K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 68 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 70 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt @@ -1995,81 +2060,73 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 7.4K / month): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 6.6K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
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promptsource (πŸ₯‰25 Β· ⭐ 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2 +
scattertext (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ“‰) - Beautiful visualizations of how language differs among.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 53 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 420 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 06.05.2023): ``` - git clone https://github.com/bigscience-workshop/promptsource - ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 5.2K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): - ``` - pip install promptsource + git clone https://github.com/JasonKessler/scattertext ``` -
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PyText (πŸ₯‰24 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - -- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 350 Β· πŸ“¦ 10 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): - +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 10K / month): ``` - git clone https://github.com/facebookresearch/pytext + pip install scattertext ``` -- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 91 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): ``` - pip install pytext-nlp + conda install -c conda-forge scattertext ```
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jiant (πŸ₯‰24 Β· ⭐ 1.5K Β· πŸ’€) - jiant is an nlp toolkit. MIT +
litellm (πŸ₯‰25 Β· ⭐ 840 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s -- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 40 Β· πŸ“¦ 38 Β· πŸ“‹ 220 - 46% open Β· ⏱️ 31.08.2023): ``` - git clone https://github.com/nyu-mll/jiant + git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 210 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 31.08.2023): ``` - pip install jiant + pip install litellm ```
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litellm (πŸ₯‰24 Β· ⭐ 670 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s +
promptsource (πŸ₯‰24 Β· ⭐ 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 30 Β· πŸ“¦ 27 Β· πŸ“‹ 170 - 56% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 54 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/BerriAI/litellm + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 5.3K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` - pip install litellm + pip install promptsource ```
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T5 (πŸ₯‰23 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
jiant (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 710 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 170K / month): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 190 / month Β· ⏱️ 10.05.2021): ``` - pip install t5 + pip install jiant ```
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fast-bert (πŸ₯‰23 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
Texthero (πŸ₯‰23 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 29.08.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 16K / month): ``` - pip install fast-bert + pip install texthero ```
FARM (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 @@ -2079,7 +2136,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4K / month): +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 3.4K / month): ``` pip install farm ``` @@ -2090,12 +2147,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
YouTokenToMe (πŸ₯‰23 Β· ⭐ 900) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 75 Β· πŸ“¦ 500 Β· πŸ“‹ 57 - 52% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 76 Β· πŸ“¦ 510 Β· πŸ“‹ 57 - 52% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 35K / month): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 37K / month): ``` pip install youtokentome ``` @@ -2106,78 +2163,78 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
detoxify (πŸ₯‰23 Β· ⭐ 700) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 90 Β· πŸ“₯ 260K Β· πŸ“¦ 380 Β· πŸ“‹ 54 - 55% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 90 Β· πŸ“₯ 260K Β· πŸ“¦ 390 Β· πŸ“‹ 54 - 55% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 14K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 18K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): ``` pip install detoxify ```
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Texthero (πŸ₯‰22 Β· ⭐ 2.8K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT +
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 28.10.2022): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 300 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 25.08.2023): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 15K / month): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 840 / month): ``` - pip install texthero + pip install sockeye ```
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Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
small-text (πŸ₯‰22 Β· ⭐ 480) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 51 Β· πŸ“¦ 21 Β· πŸ“‹ 39 - 23% open Β· ⏱️ 19.08.2023): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 590 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 640 / month Β· ⏱️ 19.08.2023): ``` - pip install sockeye + pip install small-text + ``` +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4.1K Β· ⏱️ 19.08.2023): + ``` + conda install -c conda-forge small-text ```
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finetune (πŸ₯‰22 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 450 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 11% open Β· ⏱️ 07.11.2022): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 250 / month): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 160 / month Β· ⏱️ 12.04.2020): ``` - pip install finetune + pip install nlp-architect ```
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small-text (πŸ₯‰22 Β· ⭐ 480) - Active Learning for Text Classification in Python. MIT +
fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 51 Β· πŸ“¦ 21 Β· πŸ“‹ 38 - 23% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/webis-de/small-text - ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 620 / month Β· ⏱️ 19.08.2023): - ``` - pip install small-text + git clone https://github.com/utterworks/fast-bert ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4K Β· ⏱️ 19.08.2023): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 860 / month): ``` - conda install -c conda-forge small-text + pip install fast-bert ```
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NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 +
finetune (πŸ₯‰21 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 440 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 11% open Β· ⏱️ 07.11.2022): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 18.05.2023): ``` - git clone https://github.com/IntelLabs/nlp-architect + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 180 / month): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 86 / month): ``` - pip install nlp-architect + pip install finetune ```
lightseq (πŸ₯‰20 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 @@ -2187,7 +2244,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 5.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ``` @@ -2199,7 +2256,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.2K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` pip install textaugment ``` @@ -2212,14 +2269,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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UForm (πŸ₯‰17 Β· ⭐ 390 Β· 🐣) - Multi-Modal AI inference library for Multi-Lingual Text,.. Apache-2 +
UForm (πŸ₯‰17 Β· ⭐ 410 Β· 🐣) - Multi-Modal AI inference library for Multi-Lingual Text,.. Apache-2 - [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 17 Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 890 / month Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 990 / month Β· ⏱️ 17.08.2023): ``` pip install uform ``` @@ -2231,19 +2288,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 1 / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 2 / month Β· ⏱️ 15.04.2021): ``` pip install textbox ```
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VizSeq (πŸ₯‰12 Β· ⭐ 430) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰14 Β· ⭐ 430) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 67 / month): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 61 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -2253,21 +2310,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - flair (πŸ₯‡37 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed - ChatterBot (πŸ₯‡35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ34 Β· ⭐ 8.9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- stanza (πŸ₯ˆ30 Β· ⭐ 6.7K) - Stanford NLP Python library for tokenization, sentence.. ❗Unlicensed - nlpaug (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - Data augmentation for NLP. MIT -- textacy (πŸ₯ˆ29 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed +- textacy (πŸ₯ˆ30 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT - underthesea (πŸ₯ˆ28 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- flashtext (πŸ₯‰27 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- flashtext (πŸ₯‰26 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - neuralcoref (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- whoosh (πŸ₯‰25 Β· ⭐ 440 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- whoosh (πŸ₯‰25 Β· ⭐ 450 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed - langid (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed - pySBD (πŸ₯‰24 Β· ⭐ 640 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - Snips NLU (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- PyText (πŸ₯‰22 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - stop-words (πŸ₯‰22 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 @@ -2276,15 +2333,15 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT - fastT5 (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 +- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - DeepMatcher (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - Camphr (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- NeuroNER (πŸ₯‰15 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 -- NeuralQA (πŸ₯‰14 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT +- NeuralQA (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - textvec (πŸ₯‰14 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 @@ -2301,12 +2358,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡47 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.3M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 2.9K - 3% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 63M / month): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 63M / month Β· πŸ“¦ 66K Β· ⏱️ 01.07.2023): ``` pip install Pillow ``` @@ -2315,62 +2372,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡42 Β· ⭐ 14K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 6.8K Β· πŸ“₯ 29K Β· πŸ“¦ 10 Β· πŸ“‹ 3.1K - 29% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 6.8K Β· πŸ“₯ 30K Β· πŸ“¦ 11 Β· πŸ“‹ 3.1K - 29% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.8M / month Β· πŸ“¦ 4.5K Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.9M / month Β· πŸ“¦ 4.5K Β· ⏱️ 08.05.2023): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 810K Β· ⏱️ 22.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 820K Β· ⏱️ 22.06.2023): ``` conda install -c conda-forge torchvision ```
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PyTorch Image Models (πŸ₯‡38 Β· ⭐ 26K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 - -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.2K Β· πŸ“₯ 5.2M Β· πŸ“¦ 10 Β· πŸ“‹ 780 - 7% open Β· ⏱️ 24.08.2023): - - ``` - git clone https://github.com/rwightman/pytorch-image-models - ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.7M / month Β· πŸ“¦ 280 Β· ⏱️ 03.08.2023): - ``` - pip install timm - ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 88K Β· ⏱️ 04.08.2023): - ``` - conda install -c conda-forge timm - ``` -
Kornia (πŸ₯‡38 Β· ⭐ 8.5K) - Computer Vision and Robotics Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 840 Β· πŸ“₯ 800 Β· πŸ“¦ 5.8K Β· πŸ“‹ 800 - 28% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 860 Β· πŸ“₯ 810 Β· πŸ“¦ 5.9K Β· πŸ“‹ 820 - 30% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.4M / month): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.4M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 95K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 96K Β· ⏱️ 04.08.2023): ``` conda install -c conda-forge kornia ```
imageio (πŸ₯‡38 Β· ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“₯ 820 Β· πŸ“¦ 99K Β· πŸ“‹ 560 - 15% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“₯ 820 Β· πŸ“¦ 100K Β· πŸ“‹ 570 - 16% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 15M / month): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 15M / month Β· πŸ“¦ 3K Β· ⏱️ 26.08.2023): ``` pip install imageio ``` @@ -2379,26 +2420,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageio ```
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InsightFace (πŸ₯‡36 Β· ⭐ 18K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
PyTorch Image Models (πŸ₯‡36 Β· ⭐ 27K Β· πŸ“‰) - PyTorch image models, scripts, pretrained weights --.. Apache-2 + +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.2K Β· πŸ“₯ 5.3M Β· πŸ“¦ 11 Β· πŸ“‹ 790 - 8% open Β· ⏱️ 30.08.2023): + + ``` + git clone https://github.com/rwightman/pytorch-image-models + ``` +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.8M / month): + ``` + pip install timm + ``` +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 90K Β· ⏱️ 04.08.2023): + ``` + conda install -c conda-forge timm + ``` +
+
MMDetection (πŸ₯‡36 Β· ⭐ 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 4.6K Β· πŸ“₯ 350K Β· πŸ“¦ 700 Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 9K Β· πŸ“¦ 11 Β· πŸ“‹ 7.5K - 13% open Β· ⏱️ 30.06.2023): ``` - git clone https://github.com/deepinsight/insightface + git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 290K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 27 Β· ⏱️ 01.06.2022): ``` - pip install insightface + pip install mmdet ```
MoviePy (πŸ₯‡36 Β· ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 28K Β· πŸ“‹ 1.4K - 26% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 28K Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month Β· πŸ“¦ 920 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month): ``` pip install moviepy ``` @@ -2407,26 +2464,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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MMDetection (πŸ₯ˆ35 Β· ⭐ 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +
Albumentations (πŸ₯ˆ35 Β· ⭐ 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 8K Β· πŸ“¦ 10 Β· πŸ“‹ 7.4K - 11% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 800 - 46% open Β· ⏱️ 10.06.2023): ``` - git clone https://github.com/open-mmlab/mmdetection + git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.1M / month Β· πŸ“¦ 300 Β· ⏱️ 10.06.2023): ``` - pip install mmdet + pip install albumentations + ``` +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 130K Β· ⏱️ 12.06.2023): + ``` + conda install -c conda-forge albumentations ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 26K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.5K Β· πŸ“¦ 1.3K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2): +- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 6 Β· ⏱️ 06.02.2020): ``` pip install detectron2 ``` @@ -2435,41 +2496,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
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Albumentations (πŸ₯ˆ34 Β· ⭐ 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT +
opencv-python (πŸ₯ˆ34 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 780 - 45% open Β· ⏱️ 10.06.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 740 Β· πŸ“‹ 700 - 10% open Β· ⏱️ 09.08.2023): ``` - git clone https://github.com/albumentations-team/albumentations - ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.1M / month): - ``` - pip install albumentations + git clone https://github.com/opencv/opencv-python ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 130K Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 10M / month Β· πŸ“¦ 11K Β· ⏱️ 09.08.2023): ``` - conda install -c conda-forge albumentations + pip install opencv-python ```
Wand (πŸ₯ˆ34 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 22K Β· πŸ“¦ 17K Β· πŸ“‹ 400 - 5% open Β· ⏱️ 16.06.2023): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 23K Β· πŸ“¦ 17K Β· πŸ“‹ 400 - 5% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 730K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 710K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 990 Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1K Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 18.08.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg @@ -2479,7 +2536,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install paddleseg ```
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deepface (πŸ₯ˆ32 Β· ⭐ 7.2K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (πŸ₯ˆ32 Β· ⭐ 7.3K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT - [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.8K Β· πŸ“‹ 750 - 1% open Β· ⏱️ 07.08.2023): @@ -2493,12 +2550,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
ImageHash (πŸ₯ˆ31 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 10K Β· πŸ“‹ 120 - 5% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 10K Β· πŸ“‹ 120 - 7% open Β· ⏱️ 05.08.2023): ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.3M / month Β· πŸ“¦ 370 Β· ⏱️ 28.09.2022): ``` pip install ImageHash ``` @@ -2514,7 +2571,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 14.08.2023): ``` pip install vit-pytorch ``` @@ -2526,135 +2583,135 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 760 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): ``` pip install paddledet ```
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lightly (πŸ₯ˆ30 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT - -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 18% open Β· ⏱️ 23.08.2023): - - ``` - git clone https://github.com/lightly-ai/lightly - ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 22.08.2023): - ``` - pip install lightly - ``` -
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imageai (πŸ₯ˆ29 Β· ⭐ 8K) - A python library built to empower developers to build applications and.. MIT +
imageai (πŸ₯ˆ30 Β· ⭐ 8K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 880K Β· πŸ“¦ 1.4K Β· πŸ“‹ 730 - 39% open Β· ⏱️ 19.06.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 880K Β· πŸ“¦ 1.4K Β· πŸ“‹ 740 - 39% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 5.2K / month): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 5.5K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge imageai ```
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lightly (πŸ₯ˆ30 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT + +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 460 - 19% open Β· ⏱️ 29.08.2023): + + ``` + git clone https://github.com/lightly-ai/lightly + ``` +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2023): + ``` + pip install lightly + ``` +
Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 10 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 11 Β· πŸ“‹ 300 - 22% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 57K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 56K / month): ``` pip install face-alignment ```
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doctr (πŸ₯ˆ29 Β· ⭐ 2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
doctr (πŸ₯ˆ29 Β· ⭐ 2.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“₯ 1.8M Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 270 Β· πŸ“₯ 1.8M Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 7.8K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 7.4K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): ``` pip install python-doctr ```
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facenet-pytorch (πŸ₯‰28 Β· ⭐ 3.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
GluonCV (πŸ₯‰28 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 800 Β· πŸ“₯ 660K Β· πŸ“¦ 1.3K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 11 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): ``` - git clone https://github.com/timesler/facenet-pytorch + git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 29K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 37K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): ``` - pip install facenet-pytorch + pip install gluoncv ```
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opencv-python (πŸ₯‰28 Β· ⭐ 3.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
facenet-pytorch (πŸ₯‰28 Β· ⭐ 3.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 710 Β· πŸ“‹ 690 - 9% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 800 Β· πŸ“₯ 670K Β· πŸ“¦ 1.3K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 06.04.2023): ``` - git clone https://github.com/opencv/opencv-python + git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 9.9M / month): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 29K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` - pip install opencv-python + pip install facenet-pytorch ```
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sahi (πŸ₯‰28 Β· ⭐ 2.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
sahi (πŸ₯‰28 Β· ⭐ 3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 430 Β· πŸ“₯ 17K Β· πŸ“¦ 600 Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 440 Β· πŸ“₯ 18K Β· πŸ“¦ 620 Β· ⏱️ 26.08.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 79K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 82K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): ``` pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sahi ```
vidgear (πŸ₯‰28 Β· ⭐ 2.9K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“₯ 910 Β· πŸ“¦ 440 Β· πŸ“‹ 260 - 1% open Β· ⏱️ 22.07.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“₯ 920 Β· πŸ“¦ 440 Β· πŸ“‹ 260 - 2% open Β· ⏱️ 22.07.2023): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 29K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): ``` pip install vidgear ```
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GluonCV (πŸ₯‰27 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +
Augmentor (πŸ₯‰27 Β· ⭐ 4.9K) - Image augmentation library in Python for machine learning. MIT -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 10 Β· πŸ“‹ 820 - 4% open Β· ⏱️ 19.01.2023): +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 640 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): ``` - git clone https://github.com/dmlc/gluon-cv + git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 39K / month): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 9.9K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): ``` - pip install gluoncv + pip install Augmentor ```
layout-parser (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 380 Β· πŸ“¦ 490 Β· πŸ“‹ 140 - 61% open Β· ⏱️ 06.08.2022): +- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 380 Β· πŸ“¦ 500 Β· πŸ“‹ 140 - 61% open Β· ⏱️ 06.08.2022): ``` git clone https://github.com/Layout-Parser/layout-parser ``` -- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 80K / month Β· πŸ“¦ 4 Β· ⏱️ 06.04.2022): +- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 81K / month Β· πŸ“¦ 4 Β· ⏱️ 06.04.2022): ``` pip install layoutparser ``` @@ -2666,7 +2723,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 8.4K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2677,112 +2734,84 @@ _Libraries for image & video processing, manipulation, and augmentation as well
CellProfiler (πŸ₯‰27 Β· ⭐ 790) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.5K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.6K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 920 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 980 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ```
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.7K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 55 Β· πŸ“‹ 110 - 23% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 57 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.5K / month): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.5K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ```
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Norfair (πŸ₯‰25 Β· ⭐ 1.9K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 - -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 190 Β· πŸ“₯ 280 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): - - ``` - git clone https://github.com/tryolabs/norfair - ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): - ``` - pip install norfair - ``` -
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Augmentor (πŸ₯‰24 Β· ⭐ 4.9K) - Image augmentation library in Python for machine learning. MIT +
pytorchvideo (πŸ₯‰25 Β· ⭐ 3K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 640 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 350 Β· πŸ“‹ 190 - 46% open Β· ⏱️ 26.08.2023): ``` - git clone https://github.com/mdbloice/Augmentor + git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 9.7K / month): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 56K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` - pip install Augmentor + pip install pytorchvideo ```
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pytorchvideo (πŸ₯‰24 Β· ⭐ 3K) - A deep learning library for video understanding research. Apache-2 +
Norfair (πŸ₯‰25 Β· ⭐ 1.9K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 350 Β· πŸ“‹ 190 - 46% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 190 Β· πŸ“₯ 280 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 6.6K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` - pip install pytorchvideo + pip install norfair ```
ffcv (πŸ₯‰24 Β· ⭐ 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 28 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 28 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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Classy Vision (πŸ₯‰24 Β· ⭐ 1.6K) - An end-to-end PyTorch framework for image and video.. MIT - -- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 23.03.2023): - - ``` - git clone https://github.com/facebookresearch/ClassyVision - ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): - ``` - pip install classy_vision - ``` -- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge classy_vision - ``` -
MMF (πŸ₯‰23 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 16% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 240 / month): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
vissl (πŸ₯‰23 Β· ⭐ 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 24 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 24 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 210 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 220 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2794,11 +2823,27 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.6K / month Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 6.6K / month Β· ⏱️ 31.08.2023): ``` pip install kubric-nightly ```
+
Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K) - An end-to-end PyTorch framework for image and video.. MIT + +- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): + + ``` + git clone https://github.com/facebookresearch/ClassyVision + ``` +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.6K / month): + ``` + pip install classy_vision + ``` +- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge classy_vision + ``` +
icevision (πŸ₯‰23 Β· ⭐ 830 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): @@ -2811,14 +2856,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install icevision ```
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pyvips (πŸ₯‰23 Β· ⭐ 530) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰23 Β· ⭐ 540) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 570 Β· πŸ“‹ 370 - 40% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 580 Β· πŸ“‹ 370 - 40% open Β· ⏱️ 30.06.2023): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 57K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 54K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): ``` pip install pyvips ``` @@ -2829,32 +2874,44 @@ _Libraries for image & video processing, manipulation, and augmentation as well
DEβ«ΆTR (πŸ₯‰22 Β· ⭐ 12K) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 10 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2K Β· πŸ“¦ 11 Β· πŸ“‹ 510 - 43% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
+
tensorflow-graphics (πŸ₯‰22 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 + +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 08.08.2023): + + ``` + git clone https://github.com/tensorflow/graphics + ``` +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.5K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): + ``` + pip install tensorflow-graphics + ``` +
pycls (πŸ₯‰22 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 14 Β· πŸ“‹ 81 - 30% open Β· ⏱️ 12.06.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 14 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 210K / month Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 190K / month): ``` pip install pycls ```
PySlowFast (πŸ₯‰20 Β· ⭐ 5.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 620 - 55% open Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 620 - 55% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 12 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 7 / month): ``` pip install pyslowfast ``` @@ -2866,52 +2923,41 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 1K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 840 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): ``` pip install image_match ```
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tensorflow-graphics (πŸ₯‰20 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 350 Β· πŸ“‹ 170 - 47% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.3K / month): - ``` - pip install tensorflow-graphics - ``` -
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scenic (πŸ₯‰19 Β· ⭐ 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
scenic (πŸ₯‰18 Β· ⭐ 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 340 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 340 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/google-research/scenic ```
-
Show 19 hidden projects... +
Show 20 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.6K) - Image processing in Python. ❗Unlicensed - imgaug (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- glfw (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ“‰) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- Face Recognition (πŸ₯ˆ31 Β· ⭐ 49K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- glfw (πŸ₯ˆ35 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- Face Recognition (πŸ₯ˆ32 Β· ⭐ 49K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- InsightFace (πŸ₯ˆ32 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed - PyTorch3D (πŸ₯ˆ31 Β· ⭐ 7.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - mtcnn (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 -- Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 +- segmentation_models (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K Β· πŸ“ˆ) - The friendly PIL fork. ❗️PIL - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT -- segmentation_models (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- Pillow-SIMD (πŸ₯‰21 Β· ⭐ 2K Β· πŸ“‰) - The friendly PIL fork. ❗️PIL -- nude.py (πŸ₯‰21 Β· ⭐ 910 Β· πŸ’€) - Nudity detection with Python. MIT +- Image Super-Resolution (πŸ₯‰22 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 +- Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 +- nude.py (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰19 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT - Caer (πŸ₯‰17 Β· ⭐ 710 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - HugsVision (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface -- Torch Points 3D (πŸ₯‰16 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 +- Torch Points 3D (πŸ₯‰14 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2921,42 +2967,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
dgl (πŸ₯‡38 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
networkx (πŸ₯‡44 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 + +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 3K Β· πŸ“₯ 65 Β· πŸ“¦ 180K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 31.08.2023): + + ``` + git clone https://github.com/networkx/networkx + ``` +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 27M / month Β· πŸ“¦ 15K Β· ⏱️ 04.04.2023): + ``` + pip install networkx + ``` +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 13M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge networkx + ``` +
+
dgl (πŸ₯‡39 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.8K Β· πŸ“¦ 140 Β· πŸ“‹ 2.3K - 12% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.9K Β· πŸ“¦ 140 Β· πŸ“‹ 2.4K - 17% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 120K / month): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 130K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): ``` pip install dgl ```
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PyTorch Geometric (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 3.2K Β· πŸ“‹ 3.2K - 22% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 220K / month): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 230K / month Β· πŸ“¦ 100 Β· ⏱️ 27.04.2023): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 30K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch_geometric ```
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ogb (πŸ₯ˆ30 Β· ⭐ 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
ogb (πŸ₯ˆ29 Β· ⭐ 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1K Β· πŸ“‹ 280 - 6% open Β· ⏱️ 10.06.2023): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 32K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 34K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2972,7 +3034,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 5.9K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ``` @@ -2984,7 +3046,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 23.08.2023): ``` pip install graphistry ``` @@ -2996,19 +3058,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 500 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 490 / month Β· ⏱️ 25.05.2021): ``` pip install ampligraph ```
Paddle Graph Learning (πŸ₯ˆ27 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 45 Β· πŸ“‹ 190 - 37% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 45 Β· πŸ“‹ 200 - 40% open Β· ⏱️ 04.08.2023): ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.08.2022): ``` pip install pgl ``` @@ -3027,24 +3089,36 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyKEEN (πŸ₯ˆ25 Β· ⭐ 1.3K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.1K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ```
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Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.1K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT +
PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 + +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 430 Β· πŸ“₯ 160 Β· πŸ“‹ 190 - 28% open Β· ⏱️ 25.08.2023): + + ``` + git clone https://github.com/facebookresearch/PyTorch-BigGraph + ``` +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 340K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): + ``` + pip install torchbiggraph + ``` +
+
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 450 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 19.10.2022): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 450 Β· πŸ“‹ 90 - 3% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 84K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 80K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3053,60 +3127,60 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +
graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): +- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 11 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): ``` - git clone https://github.com/graph4ai/graph4nlp + git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 110 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.4K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): ``` - pip install graph4nlp + pip install graph-nets ```
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jraph (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +
torch-cluster (πŸ₯‰22 Β· ⭐ 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/deepmind/jraph) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 77 Β· πŸ“¦ 93 Β· πŸ“‹ 38 - 31% open Β· ⏱️ 31.08.2022): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 05.06.2023): ``` - git clone https://github.com/deepmind/jraph + git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 7.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month Β· πŸ“¦ 37 Β· ⏱️ 11.03.2022): ``` - pip install jraph + pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 3.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge jraph + conda install -c conda-forge pytorch_cluster ```
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graph-nets (πŸ₯‰20 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +
graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 770 Β· πŸ“¦ 10 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): +- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): ``` - git clone https://github.com/deepmind/graph_nets + git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.5K / month): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 38 / month Β· ⏱️ 20.01.2022): ``` - pip install graph-nets + pip install graph4nlp ```
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torch-cluster (πŸ₯‰20 Β· ⭐ 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
jraph (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 05.06.2023): +- [GitHub](https://github.com/deepmind/jraph) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 77 Β· πŸ“¦ 93 Β· πŸ“‹ 38 - 31% open Β· ⏱️ 31.08.2022): ``` - git clone https://github.com/rusty1s/pytorch_cluster + git clone https://github.com/deepmind/jraph ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 7.1K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): ``` - pip install torch-cluster + pip install jraph ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 3.4K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytorch_cluster + conda install -c conda-forge jraph ```
deepsnap (πŸ₯‰20 Β· ⭐ 500) - Python library assists deep learning on graphs. MIT @@ -3116,7 +3190,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 500 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3128,7 +3202,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 55 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 46 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ``` @@ -3140,7 +3214,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 110 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 66 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3168,28 +3242,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/THUMNLab/AutoGL ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 2 / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 1 / month Β· ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
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Show 16 hidden projects... +
Show 14 hidden projects... -- networkx (πŸ₯‡42 Β· ⭐ 13K) - Network Analysis in Python. ❗Unlicensed - igraph (πŸ₯‡33 Β· ⭐ 1.1K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ28 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - DIG (πŸ₯ˆ24 Β· ⭐ 1.6K) - A library for graph deep learning research. ❗️GPL-3.0 - Karate Club (πŸ₯‰22 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 -- PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.3K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed - DeepWalk (πŸ₯‰21 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 -- pyRDF2Vec (πŸ₯‰21 Β· ⭐ 220) - Python Implementation and Extension of RDF2Vec. MIT +- pyRDF2Vec (πŸ₯‰20 Β· ⭐ 220) - Python Implementation and Extension of RDF2Vec. MIT - Sematch (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - DeepGraph (πŸ₯‰17 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - GraphEmbedding (πŸ₯‰16 Β· ⭐ 3.4K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 -- GraphVite (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.1K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT +- GraphVite (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT

@@ -3202,48 +3274,48 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡38 Β· ⭐ 6.9K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 220 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 220 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 29K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 30K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): ``` pip install espnet ```
speechbrain (πŸ₯‡38 Β· ⭐ 6.5K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 900 Β· πŸ“‹ 980 - 17% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 910 Β· πŸ“‹ 990 - 17% open Β· ⏱️ 18.08.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 200K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 160K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): ``` pip install speechbrain ```
torchaudio (πŸ₯‡35 Β· ⭐ 2.2K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“‹ 920 - 26% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 600 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.1M / month Β· πŸ“¦ 350 Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.2M / month Β· πŸ“¦ 400 Β· ⏱️ 08.05.2023): ``` pip install torchaudio ```
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Coqui TTS (πŸ₯ˆ34 Β· ⭐ 14K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 15K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.3M Β· πŸ“‹ 680 - 5% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.3M Β· πŸ“‹ 680 - 5% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 33K / month Β· πŸ“¦ 15 Β· ⏱️ 13.08.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 36K / month Β· πŸ“¦ 16 Β· ⏱️ 26.08.2023): ``` pip install tts ``` @@ -3252,62 +3324,62 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge tts ```
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Pydub (πŸ₯ˆ34 Β· ⭐ 7.6K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +
Pydub (πŸ₯ˆ33 Β· ⭐ 7.6K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 950 Β· πŸ“¦ 36K Β· πŸ“‹ 570 - 53% open Β· ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 960 Β· πŸ“¦ 37K Β· πŸ“‹ 590 - 54% open Β· ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3.2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ```
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librosa (πŸ₯ˆ34 Β· ⭐ 6.1K) - Python library for audio and music analysis. ISC +
SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.5K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 11 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): ``` - git clone https://github.com/librosa/librosa + git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 450K / month Β· πŸ“¦ 790 Β· ⏱️ 04.12.2022): ``` - pip install librosa + pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 680K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 170K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge librosa + conda install -c conda-forge speechrecognition ```
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SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.5K) - Speech recognition module for Python, supporting several.. BSD-3 +
librosa (πŸ₯ˆ33 Β· ⭐ 6.2K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/Uberi/speech_recognition + git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 450K / month Β· πŸ“¦ 790 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.08.2023): ``` - pip install SpeechRecognition + pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 170K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 680K Β· ⏱️ 16.08.2023): ``` - conda install -c conda-forge speechrecognition + conda install -c conda-forge librosa ```
spleeter (πŸ₯ˆ31 Β· ⭐ 23K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“₯ 2.6M Β· πŸ“¦ 560 Β· πŸ“‹ 760 - 26% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.6K Β· πŸ“₯ 2.6M Β· πŸ“¦ 570 Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 10.06.2022): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 10.06.2022): ``` pip install spleeter ``` @@ -3330,40 +3402,40 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 320 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 330 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 20K / month Β· πŸ“¦ 5 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 20K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): ``` pip install audiomentations ```
Porcupine (πŸ₯ˆ29 Β· ⭐ 3.1K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.5K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.8K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): ``` pip install pvporcupine ```
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audioread (πŸ₯ˆ29 Β· ⭐ 440) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT +
audioread (πŸ₯ˆ29 Β· ⭐ 450) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 110 Β· πŸ“¦ 15K Β· πŸ“‹ 89 - 40% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.1M / month Β· πŸ“¦ 360 Β· ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.2M / month Β· πŸ“¦ 360 Β· ⏱️ 12.08.2022): ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 690K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 700K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge audioread ``` @@ -3375,19 +3447,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 18K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 19K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
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tinytag (πŸ₯‰28 Β· ⭐ 610) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT +
tinytag (πŸ₯‰28 Β· ⭐ 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT - [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 840 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 18K / month Β· πŸ“¦ 110 Β· ⏱️ 12.03.2022): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 17K / month Β· πŸ“¦ 110 Β· ⏱️ 12.03.2022): ``` pip install tinytag ``` @@ -3399,7 +3471,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3408,7 +3480,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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python-soundfile (πŸ₯‰24 Β· ⭐ 580) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯‰25 Β· ⭐ 580) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 93 Β· πŸ“₯ 16K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 24.03.2023): @@ -3424,6 +3496,22 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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DeepSpeech (πŸ₯‰24 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.8K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 17K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.2K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge deepspeech + ``` +
nnAudio (πŸ₯‰20 Β· ⭐ 880) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 85 Β· πŸ“¦ 120 Β· πŸ“‹ 59 - 28% open Β· ⏱️ 28.03.2023): @@ -3431,14 +3519,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ```
Julius (πŸ₯‰20 Β· ⭐ 360 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 25 Β· πŸ“¦ 560 Β· πŸ“‹ 11 - 18% open Β· ⏱️ 19.09.2022): +- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 25 Β· πŸ“¦ 580 Β· πŸ“‹ 11 - 18% open Β· ⏱️ 19.09.2022): ``` git clone https://github.com/adefossez/julius @@ -3450,20 +3538,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
textlesslib (πŸ₯‰12 Β· ⭐ 440) - Library for Textless Spoken Language Processing. MIT -- [GitHub](https://github.com/facebookresearch/textlesslib) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 43 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/facebookresearch/textlesslib) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 43 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/facebookresearch/textlesslib ```
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Show 10 hidden projects... +
Show 9 hidden projects... -- DeepSpeech (πŸ₯ˆ34 Β· ⭐ 23K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - aubio (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (πŸ₯‰26 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (πŸ₯‰26 Β· ⭐ 1.1K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT -- TTS (πŸ₯‰24 Β· ⭐ 7.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- TTS (πŸ₯‰24 Β· ⭐ 7.9K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - Dejavu (πŸ₯‰23 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 350) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 @@ -3479,12 +3566,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2K Β· πŸ“¦ 6.4K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.4K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.4M / month Β· πŸ“¦ 38 Β· ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.4M / month Β· πŸ“¦ 40 Β· ⏱️ 15.04.2023): ``` pip install pydeck ``` @@ -3492,14 +3579,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 470 Β· ⏱️ 18.08.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 470 Β· ⏱️ 30.08.2023): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡39 Β· ⭐ 3.8K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 850 Β· πŸ“₯ 2.2K Β· πŸ“¦ 25K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 850 Β· πŸ“₯ 2.2K Β· πŸ“¦ 25K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/geopandas/geopandas @@ -3520,18 +3607,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 640K / month Β· πŸ“¦ 780 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 660K / month Β· πŸ“¦ 780 Β· ⏱️ 12.12.2022): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.2M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.3M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge folium ```
Rasterio (πŸ₯ˆ37 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 8.6K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 8.6K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/rasterio/rasterio @@ -3545,6 +3632,22 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge rasterio ```
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geopy (πŸ₯ˆ36 Β· ⭐ 4.1K) - Geocoding library for Python. MIT + +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): + + ``` + git clone https://github.com/geopy/geopy + ``` +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): + ``` + pip install geopy + ``` +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.1M Β· ⏱️ 27.08.2023): + ``` + conda install -c conda-forge geopy + ``` +
Shapely (πŸ₯ˆ36 Β· ⭐ 3.4K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.4K Β· πŸ“¦ 51K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 19.08.2023): @@ -3561,9 +3664,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge shapely ```
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pyproj (πŸ₯ˆ36 Β· ⭐ 910) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (πŸ₯ˆ36 Β· ⭐ 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 23K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 23K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pyproj4/pyproj @@ -3577,20 +3680,24 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pyproj ```
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geopy (πŸ₯ˆ34 Β· ⭐ 4K Β· πŸ’€) - Geocoding library for Python. MIT +
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 620 Β· πŸ“‹ 290 - 15% open Β· ⏱️ 13.11.2022): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 350 Β· πŸ“¦ 5.1K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 02.06.2023): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4M / month Β· πŸ“¦ 4K Β· ⏱️ 13.11.2022): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 02.06.2023): ``` - pip install geopy + pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 05.06.2023): ``` - conda install -c conda-forge geopy + conda install -c conda-forge ipyleaflet + ``` +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 44K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): + ``` + npm install jupyter-leaflet ```
Fiona (πŸ₯ˆ33 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 @@ -3600,54 +3707,34 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.7M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.8M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 4.8M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 4.9M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge fiona ```
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ipyleaflet (πŸ₯ˆ32 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT - -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 350 Β· πŸ“¦ 5K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 02.06.2023): - - ``` - git clone https://github.com/jupyter-widgets/ipyleaflet - ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 02.06.2023): - ``` - pip install ipyleaflet - ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 05.06.2023): - ``` - conda install -c conda-forge ipyleaflet - ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 45K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): - ``` - npm install jupyter-leaflet - ``` -
ArcGIS API (πŸ₯‰31 Β· ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1K Β· πŸ“₯ 8.9K Β· πŸ“¦ 2 Β· πŸ“‹ 640 - 9% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1K Β· πŸ“₯ 9K Β· πŸ“¦ 2 Β· πŸ“‹ 640 - 9% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 79K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 78K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 12K Β· ⭐ 40 Β· ⏱️ 17.06.2022): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 13K Β· ⭐ 40 Β· ⏱️ 17.06.2022): ``` docker pull esridocker/arcgis-api-python-notebook ```
geojson (πŸ₯‰29 Β· ⭐ 830) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 14K Β· πŸ“‹ 97 - 25% open Β· ⏱️ 28.05.2023): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 15K Β· πŸ“‹ 98 - 25% open Β· ⏱️ 28.05.2023): ``` git clone https://github.com/jazzband/geojson @@ -3663,12 +3750,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰28 Β· ⭐ 510) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 71 Β· πŸ“¦ 740 Β· πŸ“‹ 330 - 33% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 71 Β· πŸ“¦ 750 Β· πŸ“‹ 330 - 33% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.4K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): ``` pip install geoviews ``` @@ -3684,7 +3771,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 5.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3700,7 +3787,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 24K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 23K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): ``` pip install pysal ``` @@ -3711,12 +3798,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pymap3d (πŸ₯‰25 Β· ⭐ 320) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 76 Β· πŸ“¦ 300 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 79 Β· πŸ“¦ 300 Β· πŸ“‹ 53 - 16% open Β· ⏱️ 05.03.2023): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 61K / month): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 60K / month Β· πŸ“¦ 20 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` @@ -3727,13 +3814,13 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... -- Geocoder (πŸ₯ˆ32 Β· ⭐ 1.5K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰30 Β· ⭐ 940) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Geocoder (πŸ₯‰32 Β· ⭐ 1.5K Β· πŸ’€) - Python Geocoder. MIT +- Satpy (πŸ₯‰29 Β· ⭐ 940) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰28 Β· ⭐ 910) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- gmaps (πŸ₯‰24 Β· ⭐ 750 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - prettymaps (πŸ₯‰23 Β· ⭐ 10K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - Mapbox GL (πŸ₯‰23 Β· ⭐ 640 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - geoplotlib (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT -- gmaps (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3

@@ -3745,40 +3832,40 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡39 Β· ⭐ 10K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 2K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 13.08.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 2K Β· πŸ“¦ 27K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1M / month Β· πŸ“¦ 260 Β· ⏱️ 13.08.2023): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.1M / month Β· πŸ“¦ 260 Β· ⏱️ 13.08.2023): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): ``` conda install -c ranaroussi yfinance ```
Qlib (πŸ₯ˆ31 Β· ⭐ 12K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 10 Β· πŸ“‹ 780 - 28% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 11 Β· πŸ“‹ 780 - 28% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ```
ta (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 800 Β· πŸ“¦ 2.4K Β· πŸ“‹ 230 - 57% open Β· ⏱️ 23.08.2022): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 800 Β· πŸ“¦ 2.5K Β· πŸ“‹ 230 - 57% open Β· ⏱️ 23.08.2022): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 60K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 62K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): ``` pip install ta ``` @@ -3794,18 +3881,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 30K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 28K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ```
IB-insync (πŸ₯ˆ29 Β· ⭐ 2.3K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 570 Β· πŸ“‹ 520 - 1% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 570 Β· πŸ“‹ 520 - 1% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/erdewit/ib_insync @@ -3826,7 +3913,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.3K / month Β· πŸ“¦ 26 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.4K / month Β· πŸ“¦ 26 Β· ⏱️ 21.04.2021): ``` pip install bt ``` @@ -3835,30 +3922,30 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
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ffn (πŸ₯‰28 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ29 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 360 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 28.05.2023): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 290K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 310K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.1K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.2K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge ffn ```
stockstats (πŸ₯‰28 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 910 Β· πŸ“‹ 120 - 9% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 920 Β· πŸ“‹ 120 - 9% open Β· ⏱️ 30.07.2023): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 16K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 11K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): ``` pip install stockstats ``` @@ -3870,7 +3957,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3879,28 +3966,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge tensortrade ```
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FinQuant (πŸ₯‰25 Β· ⭐ 1K) - A program for financial portfolio management, analysis and optimisation. MIT +
PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.1K) - Python Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 79 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): ``` - git clone https://github.com/fmilthaler/FinQuant + git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.3K / month Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 510 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` - pip install FinQuant + pip install pyalgotrade ```
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PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.1K) - Python Algorithmic Trading Library. Apache-2 +
FinQuant (πŸ₯‰24 Β· ⭐ 1K) - A program for financial portfolio management, analysis and optimisation. MIT -- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 79 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/gbeced/pyalgotrade + git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 560 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 870 / month Β· ⏱️ 17.08.2023): ``` - pip install pyalgotrade + pip install FinQuant ```
Crypto Signals (πŸ₯‰23 Β· ⭐ 4.5K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT @@ -3915,28 +4002,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te docker pull shadowreaver/crypto-signal ```
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finmarketpy (πŸ₯‰22 Β· ⭐ 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 480 Β· πŸ“₯ 47 Β· πŸ“¦ 10 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 26.04.2023): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 530 Β· πŸ“‹ 64 - 56% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/cuemacro/finmarketpy + git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 170 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 310 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` - pip install finmarketpy + pip install tf-quant-finance ```
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tf-quant-finance (πŸ₯‰21 Β· ⭐ 4K) - High-performance TensorFlow library for quantitative.. Apache-2 +
finmarketpy (πŸ₯‰21 Β· ⭐ 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 530 Β· πŸ“‹ 64 - 56% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 480 Β· πŸ“₯ 47 Β· πŸ“¦ 10 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 26.04.2023): ``` - git clone https://github.com/google/tf-quant-finance + git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 320 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 87 / month Β· ⏱️ 07.10.2021): ``` - pip install tf-quant-finance + pip install finmarketpy ```
Show 11 hidden projects... @@ -3947,7 +4034,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - backtrader (πŸ₯ˆ29 Β· ⭐ 11K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - empyrical (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 +- Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Backtesting.py (πŸ₯‰22 Β· ⭐ 4K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (πŸ₯‰12 Β· ⭐ 1.6K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 @@ -3963,23 +4050,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 6.8K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 760K / month Β· πŸ“¦ 44 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 790K / month Β· πŸ“¦ 44 Β· ⏱️ 18.08.2023): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 810K Β· ⏱️ 21.08.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 840K Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡36 Β· ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT +
Prophet (πŸ₯‡35 Β· ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.9K Β· πŸ“¦ 10 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.9K Β· πŸ“¦ 11 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/facebook/prophet @@ -3995,7 +4082,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tslearn (πŸ₯‡33 Β· ⭐ 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 930 Β· πŸ“‹ 310 - 38% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 940 Β· πŸ“‹ 310 - 38% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/tslearn-team/tslearn @@ -4011,28 +4098,44 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.1K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 430 Β· πŸ“¦ 290 Β· πŸ“‹ 480 - 10% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 430 Β· πŸ“¦ 290 Β· πŸ“‹ 490 - 10% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 3 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 3 Β· ⏱️ 09.08.2023): + ``` + pip install neuralprophet + ``` +
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StatsForecast (πŸ₯ˆ32 Β· ⭐ 2.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2 + +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 430 Β· πŸ“‹ 220 - 44% open Β· ⏱️ 23.08.2023): + + ``` + git clone https://github.com/Nixtla/statsforecast + ``` +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 410K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): + ``` + pip install statsforecast + ``` +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 48K Β· ⏱️ 25.08.2023): ``` - pip install neuralprophet + conda install -c conda-forge statsforecast ```
STUMPY (πŸ₯ˆ32 Β· ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 510 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 520 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 190K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 850K Β· ⏱️ 21.08.2023): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 870K Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge stumpy ``` @@ -4044,18 +4147,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.5M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.6M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): ``` pip install pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 900K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 930K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pmdarima ```
tsfresh (πŸ₯ˆ31 Β· ⭐ 7.7K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“¦ 10 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“¦ 11 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 03.08.2023): ``` git clone https://github.com/blue-yonder/tsfresh @@ -4069,9 +4172,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsfresh ```
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Darts (πŸ₯ˆ31 Β· ⭐ 6.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
Darts (πŸ₯ˆ31 Β· ⭐ 6.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 710 Β· πŸ“¦ 340 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 710 Β· πŸ“¦ 350 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/unit8co/darts @@ -4091,36 +4194,20 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.8K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 870 - 30% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 880 - 30% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 230K / month Β· πŸ“¦ 12 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 240K / month Β· πŸ“¦ 12 Β· ⏱️ 31.08.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 460 Β· ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 490 Β· ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
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StatsForecast (πŸ₯ˆ31 Β· ⭐ 2.8K) - Lightning fast forecasting with statistical and econometric.. Apache-2 - -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“¦ 420 Β· πŸ“‹ 210 - 41% open Β· ⏱️ 23.08.2023): - - ``` - git clone https://github.com/Nixtla/statsforecast - ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 390K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): - ``` - pip install statsforecast - ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 47K Β· ⏱️ 18.06.2023): - ``` - conda install -c conda-forge statsforecast - ``` -
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.2K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 510 Β· πŸ“‹ 700 - 61% open Β· ⏱️ 10.04.2023): @@ -4128,7 +4215,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 76K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4139,16 +4226,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ28 Β· ⭐ 1.7K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“¦ 37 Β· πŸ“‹ 330 - 22% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 180 Β· πŸ“¦ 40 Β· πŸ“‹ 340 - 22% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 7.7K / month Β· πŸ“¦ 3 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 7.2K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9.4K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9.6K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge neuralforecast ``` @@ -4160,7 +4247,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 100K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 110K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` pip install pyts ``` @@ -4176,7 +4263,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 16K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4187,7 +4274,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
uber/orbit (πŸ₯‰24 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 32 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 34 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): ``` git clone https://github.com/uber/orbit @@ -4213,14 +4300,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install tsfel ```
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greykite (πŸ₯‰23 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 +
greykite (πŸ₯‰22 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 - [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 98 Β· πŸ“₯ 4 Β· πŸ“¦ 20 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 15K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 14K / month Β· ⏱️ 15.07.2022): ``` pip install greykite ``` @@ -4232,33 +4319,33 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 12K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 13K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ```
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seglearn (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 +
tick (πŸ₯‰21 Β· ⭐ 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 64 Β· πŸ“¦ 44 Β· πŸ“‹ 29 - 17% open Β· ⏱️ 27.08.2022): +- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“₯ 280 Β· πŸ“¦ 70 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): ``` - git clone https://github.com/dmbee/seglearn + git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` - pip install seglearn + pip install tick ```
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tick (πŸ₯‰21 Β· ⭐ 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 +
seglearn (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“₯ 280 Β· πŸ“¦ 70 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 64 Β· πŸ“¦ 45 Β· πŸ“‹ 29 - 17% open Β· ⏱️ 27.08.2022): ``` - git clone https://github.com/X-DataInitiative/tick + git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 810 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 13.03.2021): ``` - pip install tick + pip install seglearn ```
pydlm (πŸ₯‰20 Β· ⭐ 460) - A python library for Bayesian time series modeling. BSD-3 @@ -4268,12 +4355,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ```
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Auto TS (πŸ₯‰18 Β· ⭐ 600) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰18 Β· ⭐ 610) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· ⏱️ 17.05.2023): @@ -4287,12 +4374,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tsflex (πŸ₯‰18 Β· ⭐ 310) - Flexible time series feature extraction & processing. MIT -- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 21 Β· πŸ“¦ 7 Β· πŸ“‹ 44 - 59% open Β· ⏱️ 29.07.2023): +- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 21 Β· πŸ“¦ 8 Β· πŸ“‹ 44 - 59% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 240 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 220 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4306,9 +4393,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - PyFlux (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰20 Β· ⭐ 960 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 -- atspy (πŸ₯‰15 Β· ⭐ 490 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT +- atspy (πŸ₯‰14 Β· ⭐ 490 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰13 Β· ⭐ 310 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 -- tslumen (πŸ₯‰8 Β· ⭐ 48 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2 +- tslumen (πŸ₯‰8 Β· ⭐ 50 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4320,12 +4407,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡38 Β· ⭐ 2.3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.9K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.9K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 81K / month Β· πŸ“¦ 270 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 90K / month Β· πŸ“¦ 270 Β· ⏱️ 15.08.2023): ``` pip install mne ``` @@ -4336,12 +4423,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯‡36 Β· ⭐ 4.6K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 860 Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 860 Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.7K - 12% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 80K / month Β· πŸ“¦ 42 Β· ⏱️ 13.06.2022): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 75K / month Β· πŸ“¦ 42 Β· ⏱️ 13.06.2022): ``` pip install monai ``` @@ -4352,12 +4439,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯ˆ35 Β· ⭐ 1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 26K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 28K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): ``` pip install nilearn ``` @@ -4368,12 +4455,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (πŸ₯ˆ35 Β· ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 31.07.2023): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 67K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 69K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): ``` pip install nipype ``` @@ -4384,7 +4471,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.2K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 540 Β· πŸ“¦ 1.8K Β· πŸ“‹ 920 - 27% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“¦ 1.8K Β· πŸ“‹ 930 - 27% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/CamDavidsonPilon/lifelines @@ -4398,26 +4485,26 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge lifelines ```
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Hail (πŸ₯ˆ33 Β· ⭐ 880) - Cloud-native genomic dataframes and batch computing. MIT +
Hail (πŸ₯ˆ33 Β· ⭐ 890) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / month Β· πŸ“¦ 15 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 21K / month Β· πŸ“¦ 15 Β· ⏱️ 27.07.2023): ``` pip install hail ```
DIPY (πŸ₯ˆ33 Β· ⭐ 610) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 860 Β· πŸ“‹ 860 - 17% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“¦ 860 Β· πŸ“‹ 860 - 17% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 15K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 16K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): ``` pip install dipy ``` @@ -4426,7 +4513,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge dipy ```
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NiBabel (πŸ₯ˆ33 Β· ⭐ 570) - Python package to access a cacophony of neuro-imaging file formats. MIT +
NiBabel (πŸ₯ˆ33 Β· ⭐ 580) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 14K Β· πŸ“‹ 500 - 24% open Β· ⏱️ 06.08.2023): @@ -4444,7 +4531,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DeepVariant (πŸ₯‰24 Β· ⭐ 2.9K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 670 Β· πŸ“₯ 4.7K Β· πŸ“‹ 640 - 1% open Β· ⏱️ 28.02.2023): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 670 Β· πŸ“₯ 4.7K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 28.02.2023): ``` git clone https://github.com/google/deepvariant @@ -4461,7 +4548,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.6K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.8K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4497,7 +4584,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 400 / month Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 380 / month Β· ⏱️ 14.08.2023): ``` pip install carefree-learn ``` @@ -4509,7 +4596,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): ``` pip install pytorch_tabular ``` @@ -4530,68 +4617,68 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.7K Β· πŸ“‹ 7.9K - 9% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.7K Β· πŸ“‹ 8K - 9% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 66K / month Β· πŸ“¦ 27 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 69K / month Β· πŸ“¦ 27 Β· ⏱️ 10.08.2023): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡33 Β· ⭐ 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.6K Β· πŸ“₯ 5.9M Β· πŸ“¦ 3.5K Β· πŸ“‹ 850 - 32% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“₯ 6M Β· πŸ“¦ 3.6K Β· πŸ“‹ 870 - 33% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month Β· πŸ“¦ 69 Β· ⏱️ 20.09.2022): ``` pip install easyocr ```
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OCRmyPDF (πŸ₯‡33 Β· ⭐ 9.6K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
Tesseract (πŸ₯‡33 Β· ⭐ 5K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 740 Β· πŸ“₯ 95 Β· πŸ“¦ 590 Β· πŸ“‹ 990 - 10% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 650 Β· πŸ“‹ 360 - 6% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/ocrmypdf/OCRmyPDF + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 41K / month): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.08.2022): ``` - pip install ocrmypdf + pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 26.08.2023): ``` - conda install -c conda-forge ocrmypdf + conda install -c conda-forge pytesseract ```
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Tesseract (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
OCRmyPDF (πŸ₯ˆ32 Β· ⭐ 9.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 650 Β· πŸ“‹ 340 - 9% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 750 Β· πŸ“₯ 150 Β· πŸ“¦ 590 Β· πŸ“‹ 1K - 10% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/madmaze/pytesseract + git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 12.08.2023): ``` - pip install pytesseract + pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytesseract + conda install -c conda-forge ocrmypdf ```
tesserocr (πŸ₯ˆ30 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 39 Β· πŸ“¦ 870 Β· πŸ“‹ 260 - 29% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 40 Β· πŸ“¦ 870 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 59K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 58K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): ``` pip install tesserocr ``` @@ -4602,12 +4689,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (πŸ₯‰28 Β· ⭐ 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 670 Β· πŸ“¦ 71 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 680 Β· πŸ“¦ 72 Β· πŸ“‹ 880 - 16% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.9K / month): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.6K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4628,21 +4715,21 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ```
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calamari (πŸ₯‰21 Β· ⭐ 990) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰22 Β· ⭐ 990) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 18.08.2023): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.6K / month): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.6K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` pip install calamari_ocr ```
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Mozart (πŸ₯‰10 Β· ⭐ 490 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 +
Mozart (πŸ₯‰10 Β· ⭐ 500 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 -- [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 70 Β· πŸ“‹ 14 - 14% open Β· ⏱️ 24.08.2022): +- [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 72 Β· πŸ“‹ 14 - 14% open Β· ⏱️ 24.08.2022): ``` git clone https://github.com/aashrafh/Mozart @@ -4651,8 +4738,8 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Show 3 hidden projects... - pdftabextract (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 -- attention-ocr (πŸ₯‰20 Β· ⭐ 960 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT -- doc2text (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- attention-ocr (πŸ₯‰21 Β· ⭐ 960 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT +- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT

@@ -4702,14 +4789,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
Ray (πŸ₯‡44 Β· ⭐ 27K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 +
Ray (πŸ₯‡45 Β· ⭐ 27K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 4.7K Β· πŸ“₯ 86 Β· πŸ“¦ 11K Β· πŸ“‹ 15K - 20% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 4.7K Β· πŸ“₯ 87 Β· πŸ“¦ 11K Β· πŸ“‹ 15K - 20% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 3.1M / month Β· πŸ“¦ 400 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4M / month Β· πŸ“¦ 400 Β· ⏱️ 15.08.2023): ``` pip install ray ``` @@ -4718,46 +4805,46 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge ray-tune ```
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DeepSpeed (πŸ₯‡41 Β· ⭐ 28K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.4K Β· πŸ“‹ 2.1K - 40% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 52K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/microsoft/DeepSpeed + git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 520K / month Β· πŸ“¦ 62 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 10M / month Β· πŸ“¦ 3K Β· ⏱️ 18.08.2023): ``` - pip install deepspeed + pip install dask ``` -- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 17K Β· ⭐ 3 Β· ⏱️ 02.09.2022): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 9.9M Β· ⏱️ 18.08.2023): ``` - docker pull deepspeed/deepspeed + conda install -c conda-forge dask ```
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dask (πŸ₯‡41 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 +
DeepSpeed (πŸ₯‡42 Β· ⭐ 28K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 52K Β· πŸ“‹ 5K - 18% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 31.08.2023): ``` - git clone https://github.com/dask/dask + git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 9.4M / month): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 500K / month Β· πŸ“¦ 67 Β· ⏱️ 18.08.2023): ``` - pip install dask + pip install deepspeed ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 9.8M Β· ⏱️ 18.08.2023): +- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 17K Β· ⭐ 3 Β· ⏱️ 02.09.2022): ``` - conda install -c conda-forge dask + docker pull deepspeed/deepspeed ```
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dask.distributed (πŸ₯‡38 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 +
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 680 Β· πŸ“¦ 30K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 30K Β· πŸ“‹ 3.6K - 38% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 6.5M / month): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 7.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 18.08.2023): ``` pip install distributed ``` @@ -4773,19 +4860,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 79K / month Β· πŸ“¦ 31 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 93K / month Β· πŸ“¦ 31 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
BigDL (πŸ₯ˆ36 Β· ⭐ 4.3K) - Fast, distributed, secure AI for Big Data. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2K - 39% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2K - 39% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.7K / month Β· πŸ“¦ 1 Β· ⏱️ 30.08.2023): ``` pip install bigdl ``` @@ -4800,19 +4887,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 10 Β· πŸ“‹ 9.1K - 29% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 11 Β· πŸ“‹ 9.1K - 29% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 350K / month Β· πŸ“¦ 81 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 340K / month Β· πŸ“¦ 81 Β· ⏱️ 22.08.2023): ``` pip install h2o ```
metrics (πŸ₯ˆ35 Β· ⭐ 1.6K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 320 Β· πŸ“₯ 3.4K Β· πŸ“¦ 14K Β· πŸ“‹ 680 - 6% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 320 Β· πŸ“₯ 3.6K Β· πŸ“¦ 15K Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/Lightning-AI/metrics @@ -4821,14 +4908,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1M Β· ⏱️ 08.08.2023): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1M Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge torchmetrics ```
ColossalAI (πŸ₯ˆ32 Β· ⭐ 32K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.6K Β· πŸ“¦ 260 Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.7K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 23% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4836,7 +4923,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 2.5K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 230 Β· πŸ“¦ 2.8K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 2.9K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale @@ -4857,57 +4944,41 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 330K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 310K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): ``` pip install synapseml ```
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Elephas (πŸ₯ˆ29 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - -- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 310 Β· πŸ“¦ 72 Β· πŸ“‹ 160 - 4% open Β· ⏱️ 31.08.2022): - - ``` - git clone https://github.com/maxpumperla/elephas - ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 71K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): - ``` - pip install elephas - ``` -- [Conda](https://anaconda.org/conda-forge/elephas) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge elephas - ``` -
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dask-ml (πŸ₯ˆ29 Β· ⭐ 860) - Scalable Machine Learning with Dask. BSD-3 +
dask-ml (πŸ₯ˆ30 Β· ⭐ 860) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 840 Β· πŸ“‹ 470 - 46% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 850 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 210K / month): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 200K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 760K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dask-ml ```
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mpi4py (πŸ₯‰28 Β· ⭐ 680) - Python bindings for MPI. BSD-2 +
Elephas (πŸ₯ˆ29 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 98 Β· πŸ“₯ 15K Β· πŸ“‹ 120 - 7% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 310 Β· πŸ“¦ 73 Β· πŸ“‹ 160 - 4% open Β· ⏱️ 31.08.2022): ``` - git clone https://github.com/mpi4py/mpi4py + git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 160K / month Β· πŸ“¦ 690 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 72K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): ``` - pip install mpi4py + pip install elephas ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/elephas) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge mpi4py + conda install -c conda-forge elephas ```
TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 @@ -4917,7 +4988,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 350K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 380K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4933,11 +5004,27 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 180K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 190K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
+
mpi4py (πŸ₯‰27 Β· ⭐ 680) - Python bindings for MPI. BSD-2 + +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 98 Β· πŸ“₯ 15K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/mpi4py/mpi4py + ``` +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 160K / month Β· πŸ“¦ 690 Β· ⏱️ 02.11.2022): + ``` + pip install mpi4py + ``` +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge mpi4py + ``` +
petastorm (πŸ₯‰26 Β· ⭐ 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 130 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): @@ -4950,14 +5037,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install petastorm ```
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Hivemind (πŸ₯‰25 Β· ⭐ 1.6K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
Hivemind (πŸ₯‰26 Β· ⭐ 1.6K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 100 Β· πŸ“¦ 71 Β· πŸ“‹ 160 - 35% open Β· ⏱️ 22.07.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 71 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 7.4K / month Β· πŸ“¦ 5 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6.4K / month Β· πŸ“¦ 6 Β· ⏱️ 23.07.2023): ``` pip install hivemind ``` @@ -4997,19 +5084,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 1 / month Β· ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 2 / month Β· ⏱️ 18.03.2020): ``` pip install mmlspark ```
launchpad (πŸ₯‰23 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 63 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 64 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -5021,18 +5108,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/apache/singa ``` -- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 660 Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 690 Β· ⏱️ 16.06.2023): ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.4K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.5K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ```
mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.1K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 860 Β· πŸ“¦ 10 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 11 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax @@ -5048,7 +5135,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 11 hidden projects... -- DEAP (πŸ₯ˆ35 Β· ⭐ 5.2K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ35 Β· ⭐ 5.3K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - somoclu (πŸ₯‰21 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT - BytePS (πŸ₯‰20 Β· ⭐ 3.5K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 @@ -5057,7 +5144,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290) - Distributed and decentralized training framework for PyTorch.. Apache-2 -- LazyCluster (πŸ₯‰13 Β· ⭐ 46 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 +- LazyCluster (πŸ₯‰13 Β· ⭐ 48 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2

@@ -5068,34 +5155,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
NNI (πŸ₯‡35 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯‡36 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 460 Β· πŸ“‹ 2K - 15% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 470 Β· πŸ“‹ 2K - 15% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 21K / month Β· πŸ“¦ 34 Β· ⏱️ 22.06.2022): ``` pip install nni ```
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Hyperopt (πŸ₯‡34 Β· ⭐ 6.8K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 12K Β· πŸ“‹ 650 - 53% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/hyperopt/hyperopt - ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 17.11.2021): - ``` - pip install hyperopt - ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 720K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge hyperopt - ``` -
featuretools (πŸ₯‡34 Β· ⭐ 6.8K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 840 Β· πŸ“¦ 1.4K Β· πŸ“‹ 960 - 17% open Β· ⏱️ 23.08.2023): @@ -5103,7 +5174,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 84K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 79K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): ``` pip install featuretools ``` @@ -5114,7 +5185,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.1K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 530 Β· πŸ“‹ 590 - 8% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 530 Β· πŸ“‹ 590 - 8% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/facebook/Ax @@ -5128,42 +5199,58 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge ax-platform ```
+
Hyperopt (πŸ₯‡33 Β· ⭐ 6.8K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 + +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 12K Β· πŸ“‹ 660 - 52% open Β· ⏱️ 08.08.2023): + + ``` + git clone https://github.com/hyperopt/hyperopt + ``` +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 17.11.2021): + ``` + pip install hyperopt + ``` +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 720K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge hyperopt + ``` +
BoTorch (πŸ₯‡33 Β· ⭐ 2.7K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 640 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 650 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 200K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 210K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 81K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 82K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge botorch ```
AutoKeras (πŸ₯ˆ31 Β· ⭐ 8.9K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 550 Β· πŸ“‹ 880 - 14% open Β· ⏱️ 21.06.2023): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 550 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 9.4K / month): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 9.7K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): ``` pip install autokeras ```
auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.1K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 50 Β· πŸ“¦ 480 Β· πŸ“‹ 980 - 16% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 50 Β· πŸ“¦ 480 Β· πŸ“‹ 990 - 16% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 31K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` @@ -5186,32 +5273,32 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (πŸ₯ˆ31 Β· ⭐ 3.5K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 340 Β· πŸ“¦ 520 Β· πŸ“‹ 290 - 45% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 340 Β· πŸ“¦ 520 Β· πŸ“‹ 290 - 45% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 75K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 76K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): ``` pip install nevergrad ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge nevergrad ```
mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 350 Β· πŸ“¦ 83 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 360 Β· πŸ“¦ 83 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 10K Β· ⏱️ 06.07.2023): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 11K Β· ⏱️ 06.07.2023): ``` conda install -c conda-forge mljar-supervised ``` @@ -5223,95 +5310,107 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 180K / month Β· πŸ“¦ 56 Β· ⏱️ 13.04.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 170K / month Β· πŸ“¦ 56 Β· ⏱️ 13.04.2023): ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 23K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 24K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge keras-tuner ```
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.2K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 40K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.7K Β· ⭐ 14 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.8K Β· ⭐ 15 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
-
lazypredict (πŸ₯ˆ26 Β· ⭐ 2.1K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT +
Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 240 Β· πŸ“¦ 650 Β· πŸ“‹ 110 - 65% open Β· ⏱️ 28.09.2022): +- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 320 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): ``` - git clone https://github.com/shankarpandala/lazypredict - ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 29K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): - ``` - pip install lazypredict + git clone https://github.com/maxpumperla/hyperas ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 2.4K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 11K / month Β· πŸ“¦ 24 Β· ⏱️ 28.02.2019): ``` - conda install -c conda-forge lazypredict + pip install hyperas ```
-
Hyperas (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT +
lazypredict (πŸ₯ˆ26 Β· ⭐ 2.1K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT -- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 310 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 240 Β· πŸ“¦ 660 Β· πŸ“‹ 110 - 65% open Β· ⏱️ 28.09.2022): ``` - git clone https://github.com/maxpumperla/hyperas + git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 31K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): ``` - pip install hyperas + pip install lazypredict + ``` +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 2.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge lazypredict ```
-
GPyOpt (πŸ₯ˆ25 Β· ⭐ 890 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (πŸ₯ˆ25 Β· ⭐ 880 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 250 Β· πŸ“¦ 450 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 17.01.2023): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.4K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT -- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 270 Β· πŸ“¦ 160 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 18.09.2022): +- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 260 Β· πŸ“¦ 160 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 18.09.2022): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.2K / month): ``` pip install talos ```
FEDOT (πŸ₯‰23 Β· ⭐ 550) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 76 Β· πŸ“¦ 40 Β· πŸ“‹ 480 - 17% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 77 Β· πŸ“¦ 40 Β· πŸ“‹ 480 - 17% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ```
+
Hyperactive (πŸ₯‰22 Β· ⭐ 460) - An optimization and data collection toolbox for convenient and fast.. MIT + +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 40 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 27.08.2023): + + ``` + git clone https://github.com/SimonBlanke/Hyperactive + ``` +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1.1K / month Β· πŸ“¦ 5 Β· ⏱️ 27.08.2023): + ``` + pip install hyperactive + ``` +
featurewiz (πŸ₯‰22 Β· ⭐ 460) - Use advanced feature engineering strategies and select best.. Apache-2 - [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 73 Β· πŸ“¦ 48 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 30.05.2023): @@ -5319,7 +5418,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 9.7K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install featurewiz ``` @@ -5331,7 +5430,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 550 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): ``` pip install neuraxle ``` @@ -5343,35 +5442,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 230 / month Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 290 / month Β· ⏱️ 19.11.2021): ``` pip install igel ```
Dragonfly (πŸ₯‰20 Β· ⭐ 800 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“‹ 59 - 66% open Β· ⏱️ 01.10.2022): +- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“‹ 59 - 66% open Β· ⏱️ 01.10.2022): ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 40K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): ``` pip install dragonfly-opt ```
-
Hyperactive (πŸ₯‰20 Β· ⭐ 460) - An optimization and data collection toolbox for convenient and fast.. MIT - -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 40 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 60 - 18% open Β· ⏱️ 23.07.2023): - - ``` - git clone https://github.com/SimonBlanke/Hyperactive - ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 04.05.2022): - ``` - pip install hyperactive - ``` -
Auto ViML (πŸ₯‰20 Β· ⭐ 460) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 92 Β· πŸ“¦ 22 Β· πŸ“‹ 28 - 10% open Β· ⏱️ 21.05.2023): @@ -5379,31 +5466,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 350 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 520 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` pip install autoviml ```
-
AlphaPy (πŸ₯‰18 Β· ⭐ 950) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
AlphaPy (πŸ₯‰19 Β· ⭐ 960) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 180 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 180 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 67 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 79 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
shap-hypetune (πŸ₯‰18 Β· ⭐ 480 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT -- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 58 Β· πŸ“¦ 15 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 24.08.2022): +- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 59 Β· πŸ“¦ 15 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 24.08.2022): ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.5K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): ``` pip install shap-hypetune ``` @@ -5415,14 +5502,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 300 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 250 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ```
Show 26 hidden projects... -- Optuna (πŸ₯‡39 Β· ⭐ 8.5K) - A hyperparameter optimization framework. ❗Unlicensed +- Optuna (πŸ₯‡39 Β· ⭐ 8.6K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.2K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.6K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - Orion (πŸ₯ˆ26 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 @@ -5431,22 +5518,22 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - HpBandSter (πŸ₯‰23 Β· ⭐ 580 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause -- Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - lightwood (πŸ₯‰22 Β· ⭐ 380) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 +- Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - optunity (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - sklearn-deap (πŸ₯‰20 Β· ⭐ 740 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 +- Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - automl-gs (πŸ₯‰15 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT -- Xcessiv (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - ENAS (πŸ₯‰14 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 -- Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.2K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT +- Auptimizer (πŸ₯‰11 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5464,23 +5551,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 370K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 350K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` -- [Conda](https://anaconda.org/conda-forge/gym) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gym) (πŸ“₯ 250K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gym ```
TF-Agents (πŸ₯‡33 Β· ⭐ 2.6K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 260K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 200K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): ``` pip install tf-agents ``` @@ -5492,31 +5579,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 850 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 780 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): ``` pip install vizdoom ```
Dopamine (πŸ₯ˆ28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 10 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 11 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 34K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 36K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ```
FinRL (πŸ₯ˆ28 Β· ⭐ 8K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 630 - 25% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 27.08.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -5528,19 +5615,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.1K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.2K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): ``` pip install tensorlayer ```
Acme (πŸ₯ˆ27 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 400 Β· πŸ“¦ 160 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 160 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -5556,7 +5643,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 490 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5568,19 +5655,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 510 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 410 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ```
RLax (πŸ₯‰25 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“¦ 150 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“¦ 160 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 140K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 180K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5592,23 +5679,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/hill-a/stable-baselines ``` -- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 5.4K / month Β· πŸ“¦ 35 Β· ⏱️ 06.04.2021): +- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 5.5K / month Β· πŸ“¦ 35 Β· ⏱️ 06.04.2021): ``` pip install stable-baselines ```
-
ReAgent (πŸ₯‰24 Β· ⭐ 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 490 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 21.08.2023): - - ``` - git clone https://github.com/facebookresearch/ReAgent - ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 24 / month Β· ⏱️ 27.05.2020): - ``` - pip install reagent - ``` -
TensorForce (πŸ₯‰23 Β· ⭐ 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 540 Β· πŸ“‹ 660 - 4% open Β· ⏱️ 14.08.2023): @@ -5628,11 +5703,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ```
+
ReAgent (πŸ₯‰22 Β· ⭐ 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 + +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 490 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 29.08.2023): + + ``` + git clone https://github.com/facebookresearch/ReAgent + ``` +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 19 / month Β· ⏱️ 27.05.2020): + ``` + pip install reagent + ``` +
Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - [GitHub](https://github.com/IntelLabs/coach) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“‹ 270 - 32% open Β· ⏱️ 11.12.2022): @@ -5640,12 +5727,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 75 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 81 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
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rliable (πŸ₯‰12 Β· ⭐ 610) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (πŸ₯‰13 Β· ⭐ 610) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 - [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 40 Β· πŸ“¦ 84 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): @@ -5659,13 +5746,13 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 7 hidden projects... -- baselines (πŸ₯ˆ28 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT +- baselines (πŸ₯‡29 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (πŸ₯ˆ28 Β· ⭐ 5.4K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.1K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 - SerpentAI (πŸ₯‰18 Β· ⭐ 6.6K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 6.9K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed -- Maze (πŸ₯‰11 Β· ⭐ 240 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (πŸ₯‰12 Β· ⭐ 250 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -5677,40 +5764,40 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 420 Β· πŸ“¦ 80 Β· πŸ“‹ 790 - 21% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 430 Β· πŸ“¦ 80 Β· πŸ“‹ 790 - 21% open Β· ⏱️ 05.07.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 50K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 51K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ```
implicit (πŸ₯‡32 Β· ⭐ 3.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 540 Β· πŸ“¦ 1.1K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 540 Β· πŸ“¦ 1.1K Β· πŸ“‹ 470 - 16% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 130K / month Β· πŸ“¦ 38 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 140K / month Β· πŸ“¦ 38 Β· ⏱️ 25.08.2023): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 520K Β· ⏱️ 25.07.2023): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 520K Β· ⏱️ 26.08.2023): ``` conda install -c conda-forge implicit ```
-
lightfm (πŸ₯ˆ30 Β· ⭐ 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 +
lightfm (πŸ₯ˆ31 Β· ⭐ 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 660 Β· πŸ“¦ 1.2K Β· πŸ“‹ 490 - 27% open Β· ⏱️ 30.04.2023): ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 440K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 500K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5738,14 +5825,14 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 370K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 360K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 5.9K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“¦ 10 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“¦ 11 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): ``` git clone https://github.com/NicolasHug/Surprise @@ -5761,12 +5848,12 @@ _Libraries for building and evaluating recommendation systems._
torchrec (πŸ₯ˆ28 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 280 Β· πŸ“¦ 59 Β· πŸ“‹ 220 - 59% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 280 Β· πŸ“¦ 60 Β· πŸ“‹ 220 - 59% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 68 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 35 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -5789,12 +5876,12 @@ _Libraries for building and evaluating recommendation systems._
RecBole (πŸ₯‰25 Β· ⭐ 2.8K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 520 Β· πŸ“‹ 780 - 18% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 520 Β· πŸ“‹ 780 - 18% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): ``` pip install recbole ``` @@ -5817,11 +5904,11 @@ _Libraries for building and evaluating recommendation systems._
Show 7 hidden projects... +- lkpy (πŸ₯‰22 Β· ⭐ 240) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 -- lkpy (πŸ₯‰21 Β· ⭐ 240) - Python recommendation toolkit. MIT - Spotlight (πŸ₯‰19 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- Case Recommender (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT +- Case Recommender (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - Collie (πŸ₯‰18 Β· ⭐ 100) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - OpenRec (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
@@ -5833,26 +5920,26 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡36 Β· ⭐ 8.9K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡35 Β· ⭐ 8.9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 1 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 77 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.9K / month Β· πŸ“¦ 5 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.9K / month Β· πŸ“¦ 5 Β· ⏱️ 31.08.2023): ``` pip install syft ```
Opacus (πŸ₯ˆ28 Β· ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 99 Β· πŸ“¦ 640 Β· πŸ“‹ 250 - 26% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 99 Β· πŸ“¦ 640 Β· πŸ“‹ 260 - 27% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 30K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 31K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5863,7 +5950,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 54% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 54% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/tensorflow/privacy @@ -5873,18 +5960,6 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install tensorflow-privacy ```
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FATE (πŸ₯‰26 Β· ⭐ 5.2K) - An Industrial Grade Federated Learning Framework. Apache-2 - -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.8K - 43% open Β· ⏱️ 14.06.2023): - - ``` - git clone https://github.com/FederatedAI/FATE - ``` -- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 4 / month Β· ⏱️ 06.05.2020): - ``` - pip install ETAF - ``` -
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 200 Β· πŸ“¦ 64 Β· πŸ“‹ 430 - 32% open Β· ⏱️ 08.02.2023): @@ -5899,19 +5974,31 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
CrypTen (πŸ₯‰23 Β· ⭐ 1.3K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 290 Β· πŸ“¦ 30 Β· πŸ“‹ 260 - 26% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 290 Β· πŸ“¦ 30 Β· πŸ“‹ 260 - 26% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 250 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 260 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ```
+
FATE (πŸ₯‰22 Β· ⭐ 5.2K Β· πŸ“‰) - An Industrial Grade Federated Learning Framework. Apache-2 + +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.8K - 43% open Β· ⏱️ 14.06.2023): + + ``` + git clone https://github.com/FederatedAI/FATE + ``` +- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 2 / month Β· ⏱️ 06.05.2020): + ``` + pip install ETAF + ``` +
Show 1 hidden projects... -- PipelineDP (πŸ₯‰19 Β· ⭐ 260) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰20 Β· ⭐ 260) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5923,12 +6010,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 15K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 3.5K Β· πŸ“¦ 23K Β· πŸ“‹ 3.3K - 36% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 3.6K Β· πŸ“¦ 23K Β· πŸ“‹ 3.3K - 37% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 470 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 480 Β· ⏱️ 15.08.2023): ``` pip install mlflow ``` @@ -5939,7 +6026,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (πŸ₯‡43 Β· ⭐ 6.3K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 180K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -5955,55 +6042,55 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 38K Β· πŸ“¦ 9.1K Β· πŸ“‹ 4.4K - 12% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 39K Β· πŸ“¦ 9.2K Β· πŸ“‹ 4.4K - 12% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 750K / month Β· πŸ“¦ 68 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 710K / month Β· πŸ“¦ 68 Β· ⏱️ 29.08.2023): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge dvc ```
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wandb client (πŸ₯‡41 Β· ⭐ 7.1K) - A tool for visualizing and tracking your machine learning.. MIT +
wandb client (πŸ₯‡41 Β· ⭐ 7.2K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 530 Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 25% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 26% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 5.6M / month Β· πŸ“¦ 500 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 6.5M / month Β· πŸ“¦ 560 Β· ⏱️ 28.08.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 330K Β· ⏱️ 03.08.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 340K Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge wandb ```
SageMaker SDK (πŸ₯ˆ38 Β· ⭐ 1.9K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 36% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 36% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 32M / month Β· πŸ“¦ 80 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 33M / month Β· πŸ“¦ 81 Β· ⏱️ 29.08.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 22.08.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge sagemaker-python-sdk ```
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PyCaret (πŸ₯ˆ37 Β· ⭐ 7.6K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ37 Β· ⭐ 7.7K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 660 Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 660 Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pycaret/pycaret @@ -6033,42 +6120,42 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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snakemake (πŸ₯ˆ35 Β· ⭐ 1.9K) - This is the development home of the workflow management system.. MIT +
AzureML SDK (πŸ₯ˆ35 Β· ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.4K Β· πŸ“₯ 500 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 25.08.2023): ``` - git clone https://github.com/snakemake/snakemake - ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 85K / month Β· πŸ“¦ 240 Β· ⏱️ 09.08.2023): - ``` - pip install snakemake + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 830K Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.4M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): ``` - conda install -c bioconda snakemake + pip install azureml-sdk ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
snakemake (πŸ₯ˆ35 Β· ⭐ 1.9K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.3K Β· πŸ“₯ 500 Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 11.08.2023): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.3M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 100K / month Β· πŸ“¦ 250 Β· ⏱️ 09.08.2023): ``` - pip install azureml-sdk + pip install snakemake + ``` +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 840K Β· ⏱️ 10.08.2023): + ``` + conda install -c bioconda snakemake ```
ClearML (πŸ₯ˆ33 Β· ⭐ 4.7K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 600 Β· πŸ“₯ 1.5K Β· πŸ“¦ 680 Β· πŸ“‹ 860 - 42% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 600 Β· πŸ“₯ 1.5K Β· πŸ“¦ 690 Β· πŸ“‹ 870 - 42% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 220K / month): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 230K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` pip install clearml ``` @@ -6077,14 +6164,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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aim (πŸ₯ˆ33 Β· ⭐ 4.1K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2 +
aim (πŸ₯ˆ33 Β· ⭐ 4.2K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 300 Β· πŸ“‹ 930 - 31% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 300 Β· πŸ“‹ 930 - 31% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 130K / month Β· πŸ“¦ 13 Β· ⏱️ 30.08.2023): ``` pip install aim ``` @@ -6095,28 +6182,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ32 Β· ⭐ 6.9K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 650 Β· πŸ“¦ 510 Β· πŸ“‹ 580 - 47% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 660 Β· πŸ“¦ 520 Β· πŸ“‹ 590 - 47% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 170K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 180K / month Β· πŸ“¦ 22 Β· ⏱️ 30.08.2023): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 140K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 150K Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge metaflow ```
kaggle (πŸ₯ˆ31 Β· ⭐ 5.5K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 10 Β· πŸ“‹ 400 - 30% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 11 Β· πŸ“‹ 400 - 30% open Β· ⏱️ 17.07.2023): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 180K / month Β· πŸ“¦ 370 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 170K / month Β· πŸ“¦ 370 Β· ⏱️ 02.08.2023): ``` pip install kaggle ``` @@ -6137,14 +6224,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install visualdl ```
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Neptune.ai (πŸ₯ˆ30 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 +
sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT + +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.5K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 19.06.2023): + + ``` + git clone https://github.com/IDSIA/sacred + ``` +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 32K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): + ``` + pip install sacred + ``` +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.9K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sacred + ``` +
+
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 31.08.2023): ``` pip install neptune-client ``` @@ -6153,25 +6256,21 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge neptune-client ```
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sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
Labml (πŸ₯‰27 Β· ⭐ 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.5K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 19.06.2023): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 98 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 28.08.2023): ``` - git clone https://github.com/IDSIA/sacred - ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 30K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): - ``` - pip install sacred + git clone https://github.com/labmlai/labml ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.8K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 8.9K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): ``` - conda install -c conda-forge sacred + pip install labml ```
ml-metadata (πŸ₯‰27 Β· ⭐ 550) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/ml-metadata @@ -6183,50 +6282,50 @@ _Libraries to organize, track, and visualize machine learning experiments._
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 240 Β· πŸ“‹ 83 - 26% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 240 Β· πŸ“‹ 84 - 27% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.1K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.7K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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Guild AI (πŸ₯‰26 Β· ⭐ 810) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰25 Β· ⭐ 810) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“₯ 14 Β· πŸ“¦ 81 Β· πŸ“‹ 430 - 49% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.1K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 670 / month Β· ⏱️ 11.05.2022): ``` pip install guildai ```
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Labml (πŸ₯‰25 Β· ⭐ 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
quinn (πŸ₯‰24 Β· ⭐ 510) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 97 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 71 Β· πŸ“₯ 9 Β· πŸ“¦ 68 Β· πŸ“‹ 65 - 53% open Β· ⏱️ 08.05.2023): ``` - git clone https://github.com/labmlai/labml + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5.2K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 820K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` - pip install labml + pip install quinn ```
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quinn (πŸ₯‰24 Β· ⭐ 500) - pyspark methods to enhance developer productivity. Apache-2 +
TensorWatch (πŸ₯‰22 Β· ⭐ 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 68 Β· πŸ“₯ 9 Β· πŸ“¦ 68 Β· πŸ“‹ 65 - 53% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 120 Β· πŸ“‹ 70 - 75% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/MrPowers/quinn + git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 810K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` - pip install quinn + pip install tensorwatch ```
Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 @@ -6236,60 +6335,48 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 320 / month Β· ⏱️ 14.09.2021): - ``` - pip install studioml - ``` -
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TensorWatch (πŸ₯‰21 Β· ⭐ 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT - -- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 360 Β· πŸ“¦ 120 Β· πŸ“‹ 70 - 75% open Β· ⏱️ 12.06.2023): - - ``` - git clone https://github.com/microsoft/tensorwatch - ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 410 / month Β· ⏱️ 14.09.2021): ``` - pip install tensorwatch + pip install studioml ```
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lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +
lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - [GitHub](https://github.com/instacart/lore) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 20 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 27.09.2022): ``` git clone https://github.com/instacart/lore ``` -- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): +- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): ``` pip install lore ```
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caliban (πŸ₯‰16 Β· ⭐ 480) - Research workflows made easy, locally and in the Cloud. Apache-2 +
caliban (πŸ₯‰16 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 - [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 69 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 33 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 25 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
Show 14 hidden projects... -- Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- Catalyst (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - SKLL (πŸ₯‰26 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - knockknock (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - gokart (πŸ₯‰24 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT +- TensorBoard Logger (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 -- TensorBoard Logger (πŸ₯‰19 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - keepsake (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 -- datmo (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 +- datmo (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - steppy (πŸ₯‰16 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 @@ -6304,47 +6391,47 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡42 Β· ⭐ 15K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 18K Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 18K Β· πŸ“‹ 2.5K - 13% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.7M / month Β· πŸ“¦ 570 Β· ⏱️ 04.05.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.9M / month Β· πŸ“¦ 570 Β· ⏱️ 25.08.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 810K Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 820K Β· ⏱️ 12.07.2023): ``` conda install -c conda-forge onnx ```
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triton (πŸ₯‡40 Β· ⭐ 7.9K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡40 Β· ⭐ 8K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 850 Β· πŸ“¦ 6.4K Β· πŸ“‹ 770 - 41% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 850 Β· πŸ“¦ 6.6K Β· πŸ“‹ 780 - 40% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4.2M / month Β· πŸ“¦ 49 Β· ⏱️ 17.03.2023): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4.4M / month Β· πŸ“¦ 50 Β· ⏱️ 17.03.2023): ``` pip install triton ```
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BentoML (πŸ₯ˆ35 Β· ⭐ 5.5K) - Build Production-Grade AI Applications. Apache-2 +
BentoML (πŸ₯ˆ35 Β· ⭐ 5.6K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 620 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 950 - 20% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 620 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 960 - 20% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 11 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 11 Β· ⏱️ 29.08.2023): ``` pip install bentoml ```
huggingface_hub (πŸ₯ˆ34 Β· ⭐ 1.1K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“‹ 560 - 23% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“‹ 560 - 22% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/huggingface/huggingface_hub @@ -6376,20 +6463,20 @@ _Libraries to serialize models to files, convert between a variety of model form
TorchServe (πŸ₯ˆ32 Β· ⭐ 3.6K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 760 Β· πŸ“₯ 4.9K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 760 Β· πŸ“₯ 4.9K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 36K / month Β· πŸ“¦ 11 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 38K / month Β· πŸ“¦ 11 Β· ⏱️ 28.08.2023): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 110K Β· ⏱️ 14.06.2023): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 110K Β· ⏱️ 28.08.2023): ``` conda install -c pytorch torchserve ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.2M Β· ⭐ 17 Β· ⏱️ 14.06.2023): +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.2M Β· ⭐ 19 Β· ⏱️ 28.08.2023): ``` docker pull pytorch/torchserve ``` @@ -6401,7 +6488,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.6K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` @@ -6417,7 +6504,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 9K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ``` @@ -6429,14 +6516,14 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 470 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 390 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): ``` pip install mmdnn ```
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hls4ml (πŸ₯ˆ25 Β· ⭐ 900) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯ˆ25 Β· ⭐ 910) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml @@ -6457,7 +6544,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ``` @@ -6469,7 +6556,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 530 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6481,7 +6568,7 @@ _Libraries to serialize models to files, convert between a variety of model form - pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - OMLT (πŸ₯‰17 Β· ⭐ 210) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - tfdeploy (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 -- modelkit (πŸ₯‰16 Β· ⭐ 140) - Toolkit for developing and maintaining ML models. MIT +- modelkit (πŸ₯‰16 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT - backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.3K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed
@@ -6495,12 +6582,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡41 Β· ⭐ 20K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 13K Β· πŸ“‹ 2.3K - 62% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 13K Β· πŸ“‹ 2.3K - 61% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7M / month Β· πŸ“¦ 400 Β· ⏱️ 15.07.2023): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.1M / month Β· πŸ“¦ 400 Β· ⏱️ 15.07.2023): ``` pip install shap ``` @@ -6511,7 +6598,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
arviz (πŸ₯‡35 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 340 Β· πŸ“₯ 130 Β· πŸ“¦ 4.6K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 340 Β· πŸ“₯ 130 Β· πŸ“¦ 4.7K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6527,24 +6614,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 24K) - Visualizer for neural network, deep learning, and machine.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 86K Β· πŸ“¦ 10 Β· πŸ“‹ 970 - 2% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 120K Β· πŸ“¦ 10 Β· πŸ“‹ 980 - 2% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 17K / month Β· πŸ“¦ 73 Β· ⏱️ 25.08.2023): ``` pip install netron ```
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InterpretML (πŸ₯‡34 Β· ⭐ 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT +
InterpretML (πŸ₯‡33 Β· ⭐ 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 680 Β· πŸ“¦ 500 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 680 Β· πŸ“¦ 500 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 61K / month Β· πŸ“¦ 28 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 57K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): ``` pip install interpret ``` @@ -6556,7 +6643,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 150K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): ``` pip install captum ``` @@ -6583,12 +6670,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 280 Β· πŸ“‹ 400 - 29% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 280 Β· πŸ“‹ 400 - 29% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 43K / month Β· πŸ“¦ 7 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 42K / month Β· πŸ“¦ 7 Β· ⏱️ 30.07.2023): ``` pip install dowhy ``` @@ -6608,19 +6695,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 56K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 57K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 270 Β· πŸ“¦ 350 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 270 Β· πŸ“¦ 360 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 36K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 34K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` @@ -6648,7 +6735,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): ``` pip install fairlearn ``` @@ -6659,48 +6746,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
evaluate (πŸ₯ˆ29 Β· ⭐ 1.5K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 170 Β· πŸ“¦ 3.5K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 24.06.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 170 Β· πŸ“¦ 3.5K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 730K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 790K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): ``` pip install evaluate ```
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 220K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-model-analysis ```
imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 52 Β· πŸ“‹ 75 - 33% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 52 Β· πŸ“‹ 75 - 33% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 89K / month Β· πŸ“¦ 4 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 130K / month Β· πŸ“¦ 4 Β· ⏱️ 22.08.2023): ``` pip install imodels ```
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responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 930) - Responsible AI Toolbox is a suite of tools providing.. MIT +
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 940) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 63 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 65 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6.9K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 7.3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install raiwidgets ``` @@ -6712,7 +6799,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): ``` pip install shapash ``` @@ -6724,7 +6811,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 9K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): ``` pip install causalnex ``` @@ -6736,19 +6823,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 700 / month): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ```
+
yellowbrick (πŸ₯‰26 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 + +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): + + ``` + git clone https://github.com/DistrictDataLabs/yellowbrick + ``` +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 400K / month Β· πŸ“¦ 79 Β· ⏱️ 21.08.2022): + ``` + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick + ``` +
Fairness 360 (πŸ₯‰26 Β· ⭐ 2.1K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 680 Β· πŸ“¦ 290 Β· πŸ“‹ 230 - 60% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 710 Β· πŸ“¦ 290 Β· πŸ“‹ 260 - 64% open Β· ⏱️ 27.07.2023): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5.5K / month): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): ``` pip install aif360 ``` @@ -6759,12 +6862,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
iNNvestigate (πŸ₯‰26 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 77 Β· πŸ“¦ 110 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 79 Β· πŸ“¦ 110 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 13.06.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): ``` pip install innvestigate ``` @@ -6776,7 +6879,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.4K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6785,42 +6888,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge checklist ```
-
keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT +
DiCE (πŸ₯‰24 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 190 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 41% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/philipperemy/keract + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 110K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): ``` - pip install keract + pip install dice-ml ```
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yellowbrick (πŸ₯‰23 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“‹ 690 - 11% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 190 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 08.08.2023): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 390K / month): - ``` - pip install yellowbrick + git clone https://github.com/philipperemy/keract ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.3K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` - conda install -c conda-forge yellowbrick + pip install keract ```
LIT (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 330 Β· πŸ“¦ 20 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 02.12.2022): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 330 Β· πŸ“¦ 23 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 02.12.2022): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 1.1K / month): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): ``` pip install lit-nlp ``` @@ -6829,26 +6928,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge lit-nlp ```
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DiCE (πŸ₯‰23 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
What-If Tool (πŸ₯‰23 Β· ⭐ 830) - Source code/webpage/demos for the What-If Tool. Apache-2 -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“‹ 150 - 38% open Β· ⏱️ 22.08.2023): - - ``` - git clone https://github.com/interpretml/DiCE - ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 91K / month): - ``` - pip install dice-ml - ``` -
-
What-If Tool (πŸ₯‰22 Β· ⭐ 830) - Source code/webpage/demos for the What-If Tool. Apache-2 - -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 120 - 53% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.2K / month): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 8.8K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6856,7 +6943,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 740 / month): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6868,19 +6955,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
ecco (πŸ₯‰21 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“₯ 65 Β· πŸ“¦ 26 Β· πŸ“‹ 56 - 46% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“₯ 65 Β· πŸ“¦ 26 Β· πŸ“‹ 56 - 44% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6896,7 +6983,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 2K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): ``` pip install aequitas ``` @@ -6920,7 +7007,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): ``` pip install lofo-importance ``` @@ -6932,7 +7019,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 5.4K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 4.8K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): ``` pip install sklearn-evaluation ``` @@ -6944,7 +7031,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.7K / month): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.6K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -6965,12 +7052,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - deeplift (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - Public facing deeplift repo. MIT - Skater (πŸ₯‰20 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - tcav (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 -- XAI (πŸ₯‰17 Β· ⭐ 930 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT -- Anchor (πŸ₯‰15 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- XAI (πŸ₯‰16 Β· ⭐ 930 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT +- Anchor (πŸ₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (πŸ₯‰15 Β· ⭐ 710 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - interpret-text (πŸ₯‰13 Β· ⭐ 380 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - contextual-ai (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - bias-detector (πŸ₯‰11 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6983,9 +7070,9 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 4K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Milvus (πŸ₯‡39 Β· ⭐ 22K) - A cloud-native vector database, storage for next generation AI.. Apache-2 +
Milvus (πŸ₯‡39 Β· ⭐ 23K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.5K Β· πŸ“₯ 38K Β· πŸ“‹ 8.7K - 7% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.5K Β· πŸ“₯ 40K Β· πŸ“‹ 8.8K - 7% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/milvus-io/milvus @@ -6994,14 +7081,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.4M Β· ⭐ 32 Β· ⏱️ 24.08.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.6M Β· ⭐ 34 Β· ⏱️ 31.08.2023): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡38 Β· ⭐ 24K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/facebookresearch/faiss @@ -7015,30 +7102,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge faiss ```
-
Annoy (πŸ₯ˆ36 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (πŸ₯ˆ35 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 390 - 13% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 970K / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 990K / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 350K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge python-annoy ```
hnswlib (πŸ₯ˆ31 Β· ⭐ 3.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 480 Β· πŸ“¦ 3.9K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 480 Β· πŸ“¦ 4.3K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 800K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 810K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` @@ -7049,7 +7136,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰30 Β· ⭐ 780) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 98 Β· πŸ“¦ 4.2K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 98 Β· πŸ“¦ 4.2K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/lmcinnes/pynndescent @@ -7063,29 +7150,29 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
-
USearch (πŸ₯‰24 Β· ⭐ 660 Β· 🐣) - Fastest Similarity Search engine for Vectors and Strings in C++.. Apache-2 +
USearch (πŸ₯‰26 Β· ⭐ 690 Β· 🐣) - Fastest Search & Clustering engine for Vectors & Strings in C++,.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 31 Β· πŸ“₯ 65 Β· πŸ“¦ 8 Β· πŸ“‹ 48 - 45% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 31 Β· πŸ“₯ 78 Β· πŸ“¦ 12 Β· πŸ“‹ 46 - 39% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 4.7K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 9.7K / month Β· πŸ“¦ 1 Β· ⏱️ 30.08.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 24.08.2023): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 2.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2023): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 19 Β· ⭐ 1 Β· ⏱️ 24.08.2023): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 29 Β· ⭐ 1 Β· ⏱️ 31.08.2023): ``` docker pull unum/usearch ```
NGT (πŸ₯‰23 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 13% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/yahoojapan/NGT @@ -7102,7 +7189,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 680 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 650 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -7114,7 +7201,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 450 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 370 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7135,7 +7222,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡39 Β· ⭐ 7.7K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.9K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.9K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pymc-devs/pymc @@ -7151,7 +7238,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/tensorflow/probability @@ -7167,23 +7254,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (πŸ₯‡35 Β· ⭐ 8.1K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 620K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 630K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 97K Β· ⏱️ 29.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 99K Β· ⏱️ 29.07.2023): ``` conda install -c conda-forge pyro-ppl ```
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/cornellius-gp/gpytorch @@ -7199,7 +7286,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
filterpy (πŸ₯ˆ32 Β· ⭐ 2.8K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 560 Β· πŸ“¦ 3.8K Β· πŸ“‹ 220 - 26% open Β· ⏱️ 22.08.2022): +- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 560 Β· πŸ“¦ 3.9K Β· πŸ“‹ 220 - 26% open Β· ⏱️ 22.08.2022): ``` git clone https://github.com/rlabbe/filterpy @@ -7213,6 +7300,22 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge filterpy ```
+
pomegranate (πŸ₯ˆ31 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT + +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 570 Β· πŸ“¦ 980 Β· πŸ“‹ 740 - 3% open Β· ⏱️ 26.08.2023): + + ``` + git clone https://github.com/jmschrei/pomegranate + ``` +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 22K / month Β· πŸ“¦ 57 Β· ⏱️ 26.08.2023): + ``` + pip install pomegranate + ``` +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pomegranate + ``` +
hmmlearn (πŸ₯ˆ31 Β· ⭐ 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 730 Β· πŸ“¦ 2K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 18.04.2023): @@ -7220,7 +7323,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 210K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 200K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): ``` pip install hmmlearn ``` @@ -7229,14 +7332,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge hmmlearn ```
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pgmpy (πŸ₯ˆ31 Β· ⭐ 2.4K) - Python Library for learning (Structure and Parameter), inference.. MIT +
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 280 Β· πŸ“¦ 710 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 280 Β· πŸ“¦ 710 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 54K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 53K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): ``` pip install pgmpy ``` @@ -7248,18 +7351,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.5M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.6M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 8.7M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 8.8M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge patsy ```
SALib (πŸ₯ˆ31 Β· ⭐ 740) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 860 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 870 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 20.07.2023): ``` git clone https://github.com/SALib/SALib @@ -7268,19 +7371,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/salib): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge salib ```
pandas-ta (πŸ₯‰30 Β· ⭐ 4K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 790 Β· πŸ“¦ 3.2K Β· πŸ“‹ 510 - 19% open Β· ⏱️ 24.09.2022): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 790 Β· πŸ“¦ 3.2K Β· πŸ“‹ 510 - 18% open Β· ⏱️ 24.09.2022): ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 71K / month Β· πŸ“¦ 32 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 73K / month Β· πŸ“¦ 32 Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ``` @@ -7289,22 +7392,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pandas-ta ```
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pomegranate (πŸ₯‰30 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 570 Β· πŸ“¦ 980 Β· πŸ“‹ 730 - 3% open Β· ⏱️ 15.08.2023): - - ``` - git clone https://github.com/jmschrei/pomegranate - ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 19K / month Β· πŸ“¦ 57 Β· ⏱️ 15.08.2023): - ``` - pip install pomegranate - ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pomegranate - ``` -
GPflow (πŸ₯‰30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 440 Β· πŸ“¦ 550 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 09.08.2023): @@ -7312,7 +7399,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 48K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 47K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): ``` pip install gpflow ``` @@ -7328,7 +7415,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 100K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 98K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): ``` pip install emcee ``` @@ -7339,7 +7426,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (πŸ₯‰27 Β· ⭐ 930) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“¦ 82 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“¦ 85 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/bambinos/bambi @@ -7353,9 +7440,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
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Baal (πŸ₯‰24 Β· ⭐ 770) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 +
Baal (πŸ₯‰25 Β· ⭐ 780) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 51 Β· πŸ“‹ 100 - 24% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 51 Β· πŸ“‹ 100 - 24% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/baal-org/baal @@ -7371,7 +7458,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 32 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 34 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): ``` git clone https://github.com/uber/orbit @@ -7387,8 +7474,8 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - PyStan (πŸ₯‰26 Β· ⭐ 270) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - scikit-posthocs (πŸ₯‰21 Β· ⭐ 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +- Funsor (πŸ₯‰21 Β· ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 - pyhsmm (πŸ₯‰20 Β· ⭐ 530 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT -- Funsor (πŸ₯‰20 Β· ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT

@@ -7401,12 +7488,12 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡33 Β· ⭐ 3.9K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1K Β· πŸ“¦ 410 Β· πŸ“‹ 840 - 14% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1K Β· πŸ“¦ 410 Β· πŸ“‹ 850 - 14% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 42K / month Β· πŸ“¦ 8 Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 36K / month Β· πŸ“¦ 8 Β· ⏱️ 20.08.2023): ``` pip install adversarial-robustness-toolbox ``` @@ -7431,14 +7518,14 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge cleverhans ```
-
TextAttack (πŸ₯ˆ28 Β· ⭐ 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ29 Β· ⭐ 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 320 Β· πŸ“¦ 190 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 24.07.2023): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 320 Β· πŸ“¦ 190 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.7K / month Β· πŸ“¦ 6 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 25.05.2022): ``` pip install textattack ``` @@ -7454,7 +7541,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 38 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 44 / month Β· ⏱️ 05.12.2018): ``` pip install advbox ``` @@ -7477,23 +7564,23 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡32 Β· ⭐ 1.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 250 Β· πŸ“¦ 420 Β· πŸ“‹ 480 - 44% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 250 Β· πŸ“¦ 440 Β· πŸ“‹ 490 - 43% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 190K / month Β· πŸ“¦ 19 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 230K / month Β· πŸ“¦ 19 Β· ⏱️ 23.08.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.7K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.8K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge optimum ```
cuDF (πŸ₯‡31 Β· ⭐ 5.9K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 720 Β· πŸ“‹ 5.7K - 15% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“‹ 5.7K - 15% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/rapidsai/cudf @@ -7510,23 +7597,23 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.2M / month Β· πŸ“¦ 130 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.3M / month Β· πŸ“¦ 130 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 250K Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 260K Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge gpustat ```
PyCUDA (πŸ₯‡31 Β· ⭐ 1.6K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 270 Β· πŸ“¦ 2.3K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 19.06.2023): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 270 Β· πŸ“¦ 2.3K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 39K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 38K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): ``` pip install pycuda ``` @@ -7537,7 +7624,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Apex (πŸ₯ˆ30 Β· ⭐ 7.5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/NVIDIA/apex @@ -7549,31 +7636,31 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ30 Β· ⭐ 3.5K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.6K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
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ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.2K) - ArrayFire: a general purpose GPU library. BSD-3 +
ArrayFire (πŸ₯ˆ29 Β· ⭐ 4.2K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.3K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.4K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 840 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 880 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/rapidsai/cugraph @@ -7587,18 +7674,18 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
-
CuPy (πŸ₯‰26 Β· ⭐ 7.1K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‰26 Β· ⭐ 7.1K) - NumPy & SciPy for GPU. MIT - [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 700): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 20K / month Β· πŸ“¦ 190 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 19K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 22.08.2023): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge cupy ``` @@ -7609,7 +7696,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/NVIDIA/DALI @@ -7617,31 +7704,31 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Merlin (πŸ₯‰23 Β· ⭐ 580) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 86 Β· πŸ“‹ 440 - 45% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 86 Β· πŸ“‹ 440 - 45% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 2.2K / month Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ```
-
Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (πŸ₯‰20 Β· ⭐ 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 86 Β· πŸ“₯ 450 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 100 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 120 / month Β· ⏱️ 13.04.2022): ``` pip install kp ```
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cuSignal (πŸ₯‰19 Β· ⭐ 700) - GPU accelerated signal processing. Apache-2 +
cuSignal (πŸ₯‰18 Β· ⭐ 700) - GPU accelerated signal processing. Apache-2 -- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“‹ 160 - 16% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“‹ 160 - 16% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/rapidsai/cusignal @@ -7655,7 +7742,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - BlazingSQL (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 110 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (πŸ₯‰16 Β· ⭐ 160 Β· πŸ’€) - jupyter/ipython experiment containers for GPU and.. Apache-2 -- SpeedTorch (πŸ₯‰15 Β· ⭐ 660 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- SpeedTorch (πŸ₯‰15 Β· ⭐ 670 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7665,9 +7752,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c _Libraries that extend TensorFlow with additional capabilities._ -
TensorFlow Datasets (πŸ₯‡36 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“¦ 14K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7681,42 +7768,42 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-datasets ```
-
tensorflow-hub (πŸ₯‡35 Β· ⭐ 3.4K Β· πŸ“ˆ) - A library for transfer learning by reusing parts of.. Apache-2 +
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.07.2023): ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.1M / month Β· πŸ“¦ 330 Β· ⏱️ 13.07.2023): - ``` - pip install tensorflow-hub + git clone https://github.com/tensorflow/addons ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 88K Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 840K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): ``` - conda install -c conda-forge tensorflow-hub + pip install tensorflow-addons ```
-
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
tensorflow-hub (πŸ₯ˆ34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 09.08.2023): ``` - git clone https://github.com/tensorflow/addons + git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 870K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.2M / month Β· πŸ“¦ 330 Β· ⏱️ 13.07.2023): ``` - pip install tensorflow-addons + pip install tensorflow-hub + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 88K Β· ⏱️ 13.07.2023): + ``` + conda install -c conda-forge tensorflow-hub ```
tensor2tensor (πŸ₯ˆ33 Β· ⭐ 14K) - Library of deep learning models and datasets designed to.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.2K - 46% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.1K / month): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): ``` pip install tensor2tensor ``` @@ -7728,31 +7815,31 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 710K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 740K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
TFX (πŸ₯ˆ31 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 910 - 10% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 910 - 10% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 45K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 44K / month Β· πŸ“¦ 14 Β· ⏱️ 30.08.2023): ``` pip install tfx ```
TF Model Optimization (πŸ₯ˆ31 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3.1K Β· πŸ“‹ 360 - 56% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3.1K Β· πŸ“‹ 360 - 55% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 360K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 390K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): ``` pip install tensorflow-model-optimization ``` @@ -7764,7 +7851,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.5M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.8M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): ``` pip install tensorflow-io ``` @@ -7788,7 +7875,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 69K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7800,7 +7887,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): ``` pip install tensorflow-compression ``` @@ -7809,8 +7896,8 @@ _Libraries that extend TensorFlow with additional capabilities._ - Keras-Preprocessing (πŸ₯‰30 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 +- Saliency (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- Saliency (πŸ₯‰20 Β· ⭐ 900 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7823,28 +7910,28 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.3K) - Elegant easy-to-use neural networks in JAX... Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 80 Β· πŸ“¦ 210 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 83 Β· πŸ“¦ 220 Β· πŸ“‹ 220 - 25% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 28K / month Β· πŸ“¦ 31 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 29K / month Β· πŸ“¦ 31 Β· ⏱️ 26.07.2023): ``` pip install equinox ```
-
evojax (πŸ₯‰19 Β· ⭐ 680) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 +
evojax (πŸ₯‰21 Β· ⭐ 690) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 10 Β· πŸ“‹ 25 - 36% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 58 Β· πŸ“¦ 10 Β· πŸ“‹ 26 - 38% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2022): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 20K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 20K Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge evojax ``` @@ -7863,12 +7950,12 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (πŸ₯‡37 Β· ⭐ 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 19K Β· πŸ“‹ 550 - 4% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 20K Β· πŸ“‹ 560 - 6% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 4.1M / month): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 4.7M / month Β· πŸ“¦ 320 Β· ⏱️ 08.07.2023): ``` pip install imbalanced-learn ``` @@ -7877,50 +7964,50 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge imbalanced-learn ```
-
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
MLxtend (πŸ₯‡34 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 160 Β· πŸ“¦ 7.5K Β· πŸ“‹ 210 - 24% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 820 Β· πŸ“¦ 10K Β· πŸ“‹ 470 - 28% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/intel/scikit-learn-intelex + git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 170K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 590K / month Β· πŸ“¦ 170 Β· ⏱️ 27.05.2022): ``` - pip install scikit-learn-intelex + pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 200K Β· ⏱️ 25.07.2023): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 290K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge scikit-learn-intelex + conda install -c conda-forge mlxtend ```
-
MLxtend (πŸ₯ˆ33 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. BSD-3 +
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 820 Β· πŸ“¦ 10K Β· πŸ“‹ 470 - 28% open Β· ⏱️ 14.07.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 7.6K Β· πŸ“‹ 210 - 24% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/rasbt/mlxtend + git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 610K / month Β· πŸ“¦ 170 Β· ⏱️ 27.05.2022): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 170K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): ``` - pip install mlxtend + pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 290K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 200K Β· ⏱️ 25.07.2023): ``` - conda install -c conda-forge mlxtend + conda install -c conda-forge scikit-learn-intelex ```
category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“¦ 990 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 390 Β· πŸ“¦ 1K Β· πŸ“‹ 270 - 15% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month Β· πŸ“¦ 150 Β· ⏱️ 15.08.2023): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 230K Β· ⏱️ 15.08.2023): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 240K Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge category_encoders ``` @@ -7932,19 +8019,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 82K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 81K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
scikit-lego (πŸ₯‰25 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 99 Β· πŸ“¦ 110 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 100 Β· πŸ“¦ 110 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 38K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): ``` pip install scikit-lego ``` @@ -7953,26 +8040,26 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
-
scikit-opt (πŸ₯‰24 Β· ⭐ 4.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰24 Β· ⭐ 4.4K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 890 Β· πŸ“¦ 140 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 19.02.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ```
combo (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 570 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 14.01.2023): +- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 570 Β· πŸ“‹ 16 - 81% open Β· ⏱️ 14.01.2023): ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 67K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 74K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ``` @@ -7984,7 +8071,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 980 / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): ``` pip install deslib ``` @@ -7997,10 +8084,10 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-contrib-lightning (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰22 Β· ⭐ 790 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - skope-rules (πŸ₯‰21 Β· ⭐ 560) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- celer (πŸ₯‰20 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- celer (πŸ₯‰19 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - scikit-tda (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Topological Data Analysis for Python. MIT - skggm (πŸ₯‰17 Β· ⭐ 220) - Scikit-learn compatible estimation of general graphical models. MIT -- dabl (πŸ₯‰13 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3 +- dabl (πŸ₯‰15 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3

@@ -8010,30 +8097,30 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡38 Β· ⭐ 5.5K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (πŸ₯‡38 Β· ⭐ 5.6K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 12K Β· πŸ“‹ 920 - 9% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 930 - 9% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 5.2M / month Β· πŸ“¦ 290 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 5.4M / month Β· πŸ“¦ 290 Β· ⏱️ 23.08.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 57K Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 59K Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge accelerate ```
-
PML (πŸ₯‡34 Β· ⭐ 5.4K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯‡33 Β· ⭐ 5.4K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 860 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 870 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 240K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 260K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -8044,7 +8131,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 19K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2K Β· πŸ“¦ 26 Β· πŸ“‹ 340 - 14% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2K Β· πŸ“¦ 26 Β· πŸ“‹ 350 - 13% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/geohot/tinygrad @@ -8068,12 +8155,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (πŸ₯ˆ29 Β· ⭐ 4.8K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 820 Β· πŸ“¦ 2K Β· πŸ“‹ 200 - 28% open Β· ⏱️ 20.05.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 850 Β· πŸ“¦ 2.1K Β· πŸ“‹ 200 - 30% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.2M / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -8089,23 +8176,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 84K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 88K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 8.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 8.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ```
torchsde (πŸ₯ˆ28 Β· ⭐ 1.3K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“¦ 1.3K Β· πŸ“‹ 65 - 24% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 170 Β· πŸ“¦ 1.3K Β· πŸ“‹ 67 - 26% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.3M / month Β· πŸ“¦ 8 Β· ⏱️ 20.07.2021): ``` pip install torchsde ``` @@ -8114,25 +8201,25 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchsde ```
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torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
TabNet (πŸ₯ˆ27 Β· ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 04.06.2023): +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 430 Β· πŸ“‹ 310 - 16% open Β· ⏱️ 23.07.2023): ``` - git clone https://github.com/rusty1s/pytorch_scatter + git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 41K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 38K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` - pip install torch-scatter + pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.3K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytorch_scatter + conda install -c conda-forge pytorch-tabnet ```
Pytorch Toolbelt (πŸ₯ˆ26 Β· ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 27.08.2023): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt @@ -8142,30 +8229,30 @@ _Libraries that extend Pytorch with additional capabilities._ pip install pytorch_toolbelt ```
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TabNet (πŸ₯ˆ25 Β· ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT +
torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 430 Β· πŸ“‹ 280 - 5% open Β· ⏱️ 23.07.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 04.06.2023): ``` - git clone https://github.com/dreamquark-ai/tabnet + git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 35K / month): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 39K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): ``` - pip install pytorch-tabnet + pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytorch-tabnet + conda install -c conda-forge pytorch_scatter ```
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PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯‰25 Β· ⭐ 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 250 - 11% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 23K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): ``` pip install torch-sparse ``` @@ -8181,19 +8268,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.1K / month): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
Tez (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 -- [GitHub](https://github.com/abhishekkrthakur/tez) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 140 Β· πŸ“¦ 45 Β· πŸ“‹ 43 - 58% open Β· ⏱️ 16.09.2022): +- [GitHub](https://github.com/abhishekkrthakur/tez) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 140 Β· πŸ“¦ 46 Β· πŸ“‹ 43 - 58% open Β· ⏱️ 16.09.2022): ``` git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 500 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): ``` pip install tez ``` @@ -8205,7 +8292,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8214,18 +8301,18 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯ˆ30 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - Torchmeta (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- Higher (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +- EfficientNets (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - Poutyne (πŸ₯‰21 Β· ⭐ 550) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- EfficientNets (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 +- Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Performer Pytorch (πŸ₯‰20 Β· ⭐ 980 Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT -- pytorchviz (πŸ₯‰19 Β· ⭐ 2.7K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT -- Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT -- micrograd (πŸ₯‰18 Β· ⭐ 6K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- pytorchviz (πŸ₯‰19 Β· ⭐ 2.8K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT +- micrograd (πŸ₯‰18 Β· ⭐ 6.1K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - Tensor Sensor (πŸ₯‰18 Β· ⭐ 730 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Pywick (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT @@ -8249,12 +8336,12 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡48 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 510K Β· πŸ“¦ 78K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 510K Β· πŸ“¦ 79K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.9M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 10M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): ``` pip install sympy ``` @@ -8265,7 +8352,7 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡47 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 10 Β· πŸ“‹ 9.6K - 17% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 11 Β· πŸ“‹ 9.6K - 17% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/scipy/scipy @@ -8281,24 +8368,24 @@ _Libraries for connecting to, operating, and querying databases._
Gradio (πŸ₯‡42 Β· ⭐ 21K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.4K Β· πŸ“¦ 12K Β· πŸ“‹ 2.6K - 15% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.4K Β· πŸ“¦ 12K Β· πŸ“‹ 2.7K - 15% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.4M / month Β· πŸ“¦ 140 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.3M / month Β· πŸ“¦ 140 Β· ⏱️ 25.08.2023): ``` pip install gradio ```
Streamlit (πŸ₯‡40 Β· ⭐ 27K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.3K Β· πŸ“¦ 940 Β· πŸ“‹ 3.5K - 18% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.4K Β· πŸ“¦ 950 Β· πŸ“‹ 3.6K - 18% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.4M / month): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.5M / month Β· πŸ“¦ 990 Β· ⏱️ 24.08.2023): ``` pip install streamlit ``` @@ -8319,14 +8406,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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DeepChem (πŸ₯‡36 Β· ⭐ 4.5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯‡36 Β· ⭐ 4.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“¦ 240 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“¦ 250 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 11K / month Β· πŸ“¦ 9 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 13K / month Β· πŸ“¦ 9 Β· ⏱️ 31.08.2023): ``` pip install deepchem ``` @@ -8335,14 +8422,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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Datasette (πŸ₯‡34 Β· ⭐ 8.1K) - An open source multi-tool for exploring and publishing data. Apache-2 +
Datasette (πŸ₯‡35 Β· ⭐ 8.2K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 560 Β· πŸ“₯ 55 Β· πŸ“¦ 1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 580 Β· πŸ“₯ 56 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 28K / month Β· πŸ“¦ 190 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 25K / month Β· πŸ“¦ 190 Β· ⏱️ 29.08.2023): ``` pip install datasette ``` @@ -8351,26 +8438,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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carla (πŸ₯ˆ33 Β· ⭐ 9.5K) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯ˆ33 Β· ⭐ 9.6K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 520 Β· πŸ“‹ 4.6K - 17% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 530 Β· πŸ“‹ 4.6K - 17% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): ``` pip install carla ```
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PyOD (πŸ₯ˆ33 Β· ⭐ 7.3K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯ˆ33 Β· ⭐ 7.4K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.7K Β· πŸ“‹ 330 - 56% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 570K / month Β· πŸ“¦ 51 Β· ⏱️ 25.06.2023): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 590K / month Β· πŸ“¦ 51 Β· ⏱️ 25.06.2023): ``` pip install pyod ``` @@ -8386,7 +8473,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 530K / month Β· πŸ“¦ 200 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 520K / month Β· πŸ“¦ 210 Β· ⏱️ 18.07.2023): ``` pip install hdbscan ``` @@ -8397,7 +8484,7 @@ _Libraries for connecting to, operating, and querying databases._
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.1K Β· πŸ“‹ 820 - 15% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.1K Β· πŸ“‹ 830 - 15% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/serge-sans-paille/pythran @@ -8413,16 +8500,16 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯ˆ33 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 600 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 600 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 38K / month Β· πŸ“¦ 56 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 40K / month Β· πŸ“¦ 58 Β· ⏱️ 28.08.2023): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 21K Β· ⏱️ 30.06.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 22K Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge pennylane ``` @@ -8441,12 +8528,12 @@ _Libraries for connecting to, operating, and querying databases._
River (πŸ₯ˆ32 Β· ⭐ 4.4K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 470 Β· πŸ“¦ 350 Β· πŸ“‹ 440 - 2% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 480 Β· πŸ“¦ 350 Β· πŸ“‹ 450 - 4% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 15K / month): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 16K / month Β· πŸ“¦ 25 Β· ⏱️ 26.06.2023): ``` pip install river ``` @@ -8455,60 +8542,76 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge river ```
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adapter-transformers (πŸ₯ˆ32 Β· ⭐ 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface +
agate (πŸ₯ˆ32 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 220 Β· πŸ“‹ 340 - 19% open Β· ⏱️ 22.05.2023): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 150 Β· πŸ“¦ 2.1K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 14.06.2023): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.7M / month Β· πŸ“¦ 140 Β· ⏱️ 04.01.2023): ``` - pip install adapter-transformers + pip install agate + ``` +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge agate + ``` +
+
pyopencl (πŸ₯ˆ32 Β· ⭐ 980) - OpenCL integration for Python, plus shiny features. MIT + +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.6K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/inducer/pyopencl + ``` +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 91K / month Β· πŸ“¦ 200 Β· ⏱️ 15.08.2023): + ``` + pip install pyopencl + ``` +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 930K Β· ⏱️ 15.08.2023): + ``` + conda install -c conda-forge pyopencl ```
causalml (πŸ₯ˆ31 Β· ⭐ 4.2K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 670 Β· πŸ“¦ 160 Β· πŸ“‹ 360 - 28% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 690 Β· πŸ“¦ 160 Β· πŸ“‹ 350 - 25% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 280K / month Β· πŸ“¦ 1 Β· ⏱️ 10.07.2023): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 290K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): ``` pip install causalml ```
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tensorly (πŸ₯ˆ31 Β· ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2 +
adapter-transformers (πŸ₯ˆ31 Β· ⭐ 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 460 Β· πŸ“‹ 240 - 23% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 220 Β· πŸ“‹ 340 - 19% open Β· ⏱️ 25.08.2023): ``` - git clone https://github.com/tensorly/tensorly - ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 15K / month Β· πŸ“¦ 46 Β· ⏱️ 14.01.2023): - ``` - pip install tensorly + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 17K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` - conda install -c conda-forge tensorly + pip install adapter-transformers ```
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agate (πŸ₯ˆ31 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT +
tensorly (πŸ₯ˆ31 Β· ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 140 Β· πŸ“¦ 2.1K Β· πŸ“‹ 640 - 1% open Β· ⏱️ 14.06.2023): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 470 Β· πŸ“‹ 240 - 23% open Β· ⏱️ 20.08.2023): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.7M / month): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 16K / month Β· πŸ“¦ 46 Β· ⏱️ 14.01.2023): ``` - pip install agate + pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge agate + conda install -c conda-forge tensorly ```
datalad (πŸ₯ˆ31 Β· ⭐ 450) - Keep code, data, containers under control with git and git-annex. MIT @@ -8518,7 +8621,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 12K / month Β· πŸ“¦ 62 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 11K / month Β· πŸ“¦ 62 Β· ⏱️ 10.08.2023): ``` pip install datalad ``` @@ -8529,7 +8632,7 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 440 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 450 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 03.08.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor @@ -8543,18 +8646,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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pandas-ai (πŸ₯ˆ29 Β· ⭐ 8.3K Β· 🐣) - PandasAI is a Python library that integrates generative artificial.. MIT - -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 630 Β· πŸ“¦ 1.5K Β· πŸ“‹ 280 - 31% open Β· ⏱️ 24.08.2023): - - ``` - git clone https://github.com/gventuri/pandas-ai - ``` -- [PyPi](https://pypi.org/project/pandas-ai): - ``` - pip install pandas-ai - ``` -
alibi-detect (πŸ₯ˆ29 Β· ⭐ 1.9K) - Algorithms for outlier, adversarial and drift detection. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 370 Β· πŸ“‹ 360 - 36% open Β· ⏱️ 08.08.2023): @@ -8562,19 +8653,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): ``` pip install alibi-detect ```
avalanche (πŸ₯ˆ29 Β· ⭐ 1.4K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 40 Β· πŸ“‹ 730 - 10% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 41 Β· πŸ“‹ 740 - 11% open Β· ⏱️ 02.08.2023): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` pip install avalanche-lib ``` @@ -8586,7 +8677,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 180K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 170K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): ``` pip install kmodes ``` @@ -8595,6 +8686,18 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge kmodes ```
+
pandas-ai (πŸ₯ˆ28 Β· ⭐ 8.4K Β· 🐣) - PandasAI is a Python library that integrates generative artificial.. MIT + +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 640 Β· πŸ“¦ 1.8K Β· πŸ“‹ 290 - 33% open Β· ⏱️ 31.08.2023): + + ``` + git clone https://github.com/gventuri/pandas-ai + ``` +- [PyPi](https://pypi.org/project/pandas-ai): + ``` + pip install pandas-ai + ``` +
pysc2 (πŸ₯ˆ28 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 - [GitHub](https://github.com/deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 590 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): @@ -8602,19 +8705,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.1K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` pip install pysc2 ```
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anomalib (πŸ₯ˆ28 Β· ⭐ 2.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
anomalib (πŸ₯ˆ28 Β· ⭐ 2.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 410 Β· πŸ“₯ 1.8K Β· πŸ“¦ 24 Β· πŸ“‹ 570 - 13% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 420 Β· πŸ“₯ 2K Β· πŸ“¦ 24 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 28.08.2023): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 8.6K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2023): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 14K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install anomalib ``` @@ -8626,35 +8729,51 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.1K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.2K Β· ⏱️ 16.06.2023): ``` conda install -c anaconda tabpy-client ```
PySwarms (πŸ₯‰27 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 320 Β· πŸ“¦ 290 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 320 Β· πŸ“¦ 300 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.5K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 8.9K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
+
Prince (πŸ₯‰27 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT + +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 170 Β· πŸ“¦ 400 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 28.08.2023): + + ``` + git clone https://github.com/MaxHalford/prince + ``` +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 50K / month Β· πŸ“¦ 9 Β· ⏱️ 08.08.2023): + ``` + pip install prince + ``` +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge prince-factor-analysis + ``` +
Trax (πŸ₯‰26 Β· ⭐ 7.7K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 800 Β· πŸ“¦ 120 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.6K / month Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.2K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8671,6 +8790,18 @@ _Libraries for connecting to, operating, and querying databases._ pip install pycm ```
+
AugLy (πŸ₯‰25 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT + +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 78 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 25.08.2023): + + ``` + git clone https://github.com/facebookresearch/AugLy + ``` +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): + ``` + pip install augly + ``` +
Mars (πŸ₯‰25 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 03.07.2023): @@ -8678,11 +8809,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 110K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
+
modAL (πŸ₯‰25 Β· ⭐ 2K) - A modular active learning framework for Python. MIT + +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 26 Β· πŸ“¦ 13 Β· πŸ“‹ 150 - 62% open Β· ⏱️ 01.06.2023): + + ``` + git clone https://github.com/modAL-python/modAL + ``` +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 31.08.2023): + ``` + pip install modAL + ``` +
Feature Engine (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 260 Β· ⏱️ 07.12.2022): @@ -8690,7 +8833,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 150K / month Β· πŸ“¦ 68 Β· ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 170K / month Β· πŸ“¦ 68 Β· ⏱️ 22.11.2022): ``` pip install feature_engine ``` @@ -8715,66 +8858,42 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge gplearn ```
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Prince (πŸ₯‰25 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 170 Β· πŸ“¦ 400 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/MaxHalford/prince - ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 48K / month): - ``` - pip install prince - ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge prince-factor-analysis - ``` -
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dstack (πŸ₯‰25 Β· ⭐ 780) - Train and deploy LLM models in multiple clouds (AWS, GCP, Azure,.. MPL-2.0 +
dstack (πŸ₯‰24 Β· ⭐ 780) - Train and deploy LLM models in multiple clouds (AWS, GCP, Azure,.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 11 Β· πŸ“‹ 360 - 5% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 11 Β· πŸ“‹ 380 - 4% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.4K / month Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.1K / month Β· ⏱️ 31.08.2023): ``` pip install dstack ```
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AugLy (πŸ₯‰24 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT +
BioPandas (πŸ₯‰24 Β· ⭐ 640) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 280 Β· πŸ“¦ 77 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“¦ 200 Β· πŸ“‹ 56 - 42% open Β· ⏱️ 28.08.2023): ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): - ``` - pip install augly + git clone https://github.com/rasbt/biopandas ``` -
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modAL (πŸ₯‰24 Β· ⭐ 2K) - A modular active learning framework for Python. MIT - -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 26 Β· πŸ“¦ 13 Β· πŸ“‹ 150 - 62% open Β· ⏱️ 01.06.2023): - +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 7.1K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` - git clone https://github.com/modAL-python/modAL + pip install biopandas ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): ``` - pip install modAL + conda install -c conda-forge biopandas ```
MONAILabel (πŸ₯‰24 Β· ⭐ 450) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 160 Β· πŸ“₯ 61K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 160 Β· πŸ“₯ 61K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 740 / month Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 770 / month Β· ⏱️ 27.08.2023): ``` pip install monailabel-weekly ``` @@ -8786,7 +8905,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 60K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 68K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): ``` pip install suod ``` @@ -8807,30 +8926,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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BioPandas (πŸ₯‰23 Β· ⭐ 640) - Working with molecular structures in pandas DataFrames. BSD-3 - -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 200 Β· πŸ“‹ 55 - 41% open Β· ⏱️ 31.07.2023): - - ``` - git clone https://github.com/rasbt/biopandas - ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.2K / month): - ``` - pip install biopandas - ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge biopandas - ``` -
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benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“¦ 11 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 520 / month Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 500 / month Β· ⏱️ 07.09.2022): ``` pip install pythae ``` @@ -8842,7 +8945,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.4K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` pip install rrcf ``` @@ -8854,19 +8957,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 75 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 61 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
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NeuralCompression (πŸ₯‰17 Β· ⭐ 360) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰18 Β· ⭐ 380) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 37 Β· πŸ“‹ 69 - 10% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 40 Β· πŸ“‹ 66 - 4% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 76 / month Β· ⏱️ 12.01.2022): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 200 / month Β· ⏱️ 25.08.2023): ``` pip install neuralcompression ``` @@ -8878,19 +8981,18 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 72 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 75 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
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Show 20 hidden projects... +
Show 19 hidden projects... - cleanlab (πŸ₯ˆ30 Β· ⭐ 6.4K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 -- pyopencl (πŸ₯ˆ30 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. ❗Unlicensed +- Cython BLIS (πŸ₯ˆ30 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - pyclustering (πŸ₯ˆ28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- Cython BLIS (πŸ₯ˆ28 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python.. ❗Unlicensed - metric-learn (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - Metric learning algorithms in Python. MIT -- minisom (πŸ₯‰26 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 +- minisom (πŸ₯‰27 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - findspark (πŸ₯‰25 Β· ⭐ 490 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - metricflow (πŸ₯‰24 Β· ⭐ 950) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - vecstack (πŸ₯‰23 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT @@ -8900,9 +9002,9 @@ _Libraries for connecting to, operating, and querying databases._ - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - apricot (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT -- pymdp (πŸ₯‰20 Β· ⭐ 290) - A Python implementation of active inference for Markov Decision Processes. MIT +- pymdp (πŸ₯‰19 Β· ⭐ 290) - A Python implementation of active inference for Markov Decision Processes. MIT +- baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 -- baikal (πŸ₯‰17 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - traingenerator (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰12 Β· ⭐ 82 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2023-08-31_changes.md b/history/2023-08-31_changes.md new file mode 100644 index 00000000..ca29fb88 --- /dev/null +++ b/history/2023-08-31_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +- Plotly (πŸ₯‡43 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +- Catboost (πŸ₯ˆ41 Β· ⭐ 7.3K Β· πŸ“ˆ) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 +- PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +- PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +- HoloViews (πŸ₯ˆ35 Β· ⭐ 2.5K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 +- opencv-python (πŸ₯ˆ34 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Sweetviz (πŸ₯‰29 Β· ⭐ 2.6K Β· πŸ“ˆ) - Visualize and compare datasets, target values and associations, with.. MIT +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K Β· πŸ“ˆ) - The friendly PIL fork. ❗️PIL + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- PyTorch (πŸ₯‡47 Β· ⭐ 70K Β· πŸ“‰) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +- Keras (πŸ₯‡43 Β· ⭐ 59K Β· πŸ“‰) - Deep Learning for humans. Apache-2 +- PyTorch Image Models (πŸ₯‡36 Β· ⭐ 27K Β· πŸ“‰) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +- Theano (πŸ₯ˆ36 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed +- InsightFace (πŸ₯ˆ32 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed +- torchtext (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ“‰) - Models, data loaders and abstractions for language.. BSD-3 +- scattertext (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ“‰) - Beautiful visualizations of how language differs among.. Apache-2 +- DeepSpeech (πŸ₯‰24 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- FATE (πŸ₯‰22 Β· ⭐ 5.2K Β· πŸ“‰) - An Industrial Grade Federated Learning Framework. Apache-2 + diff --git a/history/2023-08-31_projects.csv b/history/2023-08-31_projects.csv new file mode 100644 index 00000000..e9ed1ac1 --- /dev/null +++ b/history/2023-08-31_projects.csv @@ -0,0 +1,915 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,pypi_latest_release_published_at,pypi_dependent_project_count,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,helm_id,updated_github_id,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-08-23 18:32:44.000000,2023-08-23 18:32:44,1514.0,47.0,573,107.0,298.0,44.0,123.0,3990,Benchmarks of approximate nearest neighbor libraries in Python.,94.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-08-24 16:49:11.000000,2023-08-24 16:49:10,261.0,24.0,148,51.0,156.0,1.0,2.0,1996,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-08-24 16:49:17.000,2023.08.24,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-31 13:35:31.000000,2023-08-24 13:57:29,276.0,25.0,216,88.0,158.0,4.0,4.0,3126,Collection of data-loading and -extraction libraries.,11.0,0,True,2023-08-24 13:57:37.000,2023.08.24,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-31 13:35:31.000000,2023-08-24 13:57:29,276.0,25.0,216,88.0,158.0,4.0,4.0,3126,Collection of database clients for python.,11.0,0,True,2023-08-24 13:57:37.000,2023.08.24,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-31 13:35:31.000000,2023-08-24 13:57:29,276.0,25.0,216,88.0,158.0,4.0,4.0,3126,"Collection of data-container, dataframe, and pandas-utility libraries.",11.0,0,True,2023-08-24 13:57:37.000,2023.08.24,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-31 13:35:31.000000,2023-08-24 13:57:29,276.0,25.0,216,88.0,158.0,4.0,4.0,3126,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",11.0,0,True,2023-08-24 13:57:37.000,2023.08.24,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-08-31 14:04:31.000000,2023-08-31 13:10:54,153162.0,4309.0,71702,7693.0,23331.0,1902.0,35938.0,179477,An Open Source Machine Learning Framework for Everyone.,4429.0,55,True,2023-07-05 19:49:02.000,2.12.1,100.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],301560.0,301560.0,https://pypi.org/project/tensorflow,16370151.0,17783287.0,https://anaconda.org/conda-forge/tensorflow,2023-07-21 23:54:54.123,4316694.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-08-31 12:49:16.240108,2200.0,74071353.0,1.0,,,,,,,,,,,,,,,,,,,,,, +7,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2023-08-31 13:54:58.000000,2023-08-30 13:30:16,30328.0,316.0,23696,2156.0,16022.0,1603.0,8766.0,55550,scikit-learn: machine learning in Python.,2979.0,52,True,2023-06-30 08:07:27.000,1.3.0,42.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],590205.0,590205.0,https://pypi.org/project/scikit-learn,41923946.0,42540601.0,https://anaconda.org/conda-forge/scikit-learn,2023-06-30 12:52:16.828,24049191.0,,,,,1.0,893.0,,,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-08-31 14:08:29.000000,2023-08-31 14:08:20,13861.0,805.0,22056,1054.0,12944.0,782.0,12022.0,111041,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2103.0,50,True,2023-08-28 12:48:30.000,4.32.1,116.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",97980.0,95841.0,https://pypi.org/project/transformers,16084849.0,16119618.0,https://anaconda.org/conda-forge/transformers,2023-08-28 22:53:19.607,1286349.0,,,,,1.0,142.0,2023-08-28 12:45:23.000,2139.0,,,,,,,,,,,,,,,,,,, +9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-08-31 14:12:04.000000,2023-08-31 14:11:54,48250.0,720.0,7018,588.0,16942.0,1495.0,8525.0,17976,matplotlib: plotting with Python.,1552.0,50,True,2023-07-20 16:03:46.939,1.0.0,114.0,matplotlib,conda-forge/matplotlib,,,,991585.0,930314.0,https://pypi.org/project/matplotlib,37536619.0,38068454.0,https://anaconda.org/conda-forge/matplotlib,2023-08-18 18:51:57.826,20209748.0,,,,,1.0,,2023-08-10 03:12:45.000,61271.0,,,,,,,,,,,,,,,,,,, +10,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-08-31 14:35:53.000000,2023-08-30 17:29:57,55546.0,1172.0,3997,291.0,12597.0,4826.0,8476.0,11245,A computer algebra system written in pure Python.,1239.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,83870.0,79253.0,https://pypi.org/project/sympy,10076219.0,10127998.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4137634.0,,,,,1.0,510721.0,2023-05-10 18:24:09.226,4617.0,,,,,,,,,,,,,,,,,,, +11,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-08-31 14:05:54.000000,2023-08-31 13:34:08,63569.0,2766.0,18531,1670.0,72053.0,11689.0,24339.0,70254,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4307.0,47,True,2023-05-08 19:55:19.000,2.0.1,45.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],11.0,11.0,https://pypi.org/project/torch,11106702.0,11892037.0,https://anaconda.org/pytorch/pytorch,2023-06-16 19:17:28.406,18056402.0,,,,,1.0,22866.0,,,-4.0,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-08-31 14:10:45.000000,2023-08-31 11:35:09,30749.0,465.0,4896,347.0,9811.0,1684.0,7943.0,11637,"Ecosystem of open-source software for mathematics, science, and engineering.",1529.0,47,True,2023-08-17 23:02:23.000,1.11.2,96.0,scipy,conda-forge/scipy,,,,63493.0,11.0,https://pypi.org/project/scipy,62280727.0,63532691.0,https://anaconda.org/conda-forge/scipy,2023-08-20 07:05:06.617,41185124.0,,,,,1.0,381235.0,2023-08-17 22:08:09.000,63482.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-08-31 06:36:24.000000,2023-08-30 10:59:26,15163.0,260.0,2075,221.0,4363.0,105.0,2789.0,11079,Python Imaging Library (Fork).,446.0,47,True,2023-07-01 14:57:58.842,10.0.0,93.0,Pillow,conda-forge/pillow,,,,1384916.0,1318688.0,https://pypi.org/project/Pillow,62604890.0,63468662.0,https://anaconda.org/conda-forge/pillow,2023-07-02 00:52:56.834,31959593.0,,,,,1.0,,2023-07-01 14:57:58.842,66228.0,,,,,,,,,,,,,,,,,,, +14,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-08-31 14:26:15.000000,2023-08-31 06:12:10,18956.0,1359.0,4691,459.0,23697.0,3156.0,12205.0,27343,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,906.0,45,True,2023-08-15 16:40:29.000,ray-2.6.3,89.0,ray,conda-forge/ray-tune,,,,11484.0,11085.0,https://pypi.org/project/ray,4030313.0,4035272.0,https://anaconda.org/conda-forge/ray-tune,2023-08-17 00:56:02.998,158676.0,,,,,1.0,87.0,2023-08-15 16:39:07.000,399.0,,,,,,,,,,,,,,,,,,, +15,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-08-31 13:25:45.000000,2023-08-30 03:43:05,20197.0,76.0,4122,445.0,5799.0,771.0,6651.0,17890,"Interactive Data Visualization in the browser, from Python.",668.0,45,True,2023-08-14 02:42:48.000,3.2.2,174.0,bokeh,conda-forge/bokeh,,,,78766.0,75027.0,https://pypi.org/project/bokeh,5623362.0,5950242.0,https://anaconda.org/conda-forge/bokeh,2023-08-14 08:47:36.698,12421440.0,,,,,1.0,,2023-08-14 02:42:48.000,3739.0,3.0,,,,,,,,,,,,,,,,,, +16,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-08-31 09:55:48.000000,2023-08-30 09:58:14,15986.0,61.0,4096,552.0,3848.0,74.0,5391.0,26980,Industrial-strength Natural Language Processing (NLP) in Python.,736.0,44,True,2023-08-08 14:45:58.000,3.6.1,100.0,spacy,conda-forge/spacy,,,,68451.0,68451.0,https://pypi.org/project/spacy,5960653.0,6044623.0,https://anaconda.org/conda-forge/spacy,2023-08-09 19:17:06.552,3190882.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +17,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-08-31 14:07:23.000000,2023-08-31 09:00:04,4577.0,486.0,3551,293.0,6207.0,1239.0,2086.0,15125,Open source platform for the machine learning lifecycle.,631.0,44,True,2023-08-15 07:11:16.000,2.6.0,80.0,mlflow,conda-forge/mlflow,,,,23680.0,23202.0,https://pypi.org/project/mlflow,14107570.0,14146300.0,https://anaconda.org/conda-forge/mlflow,2023-08-15 08:47:37.291,1471766.0,,,,,1.0,,2023-08-15 06:14:52.000,478.0,,,,,,,,,,,,,,,,,,, +18,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-08-31 12:23:33.000000,2023-08-31 11:52:12,7373.0,68.0,2973,277.0,3385.0,397.0,2834.0,13115,Network Analysis in Python.,667.0,44,True,2023-04-04 20:05:38.000,networkx-3.1,89.0,networkx,conda-forge/networkx,,,,196222.0,181690.0,https://pypi.org/project/networkx,26901693.0,27060196.0,https://anaconda.org/conda-forge/networkx,2023-06-16 13:18:51.990,12997298.0,,,,,1.0,65.0,2023-04-04 20:09:20.051,14532.0,,,,,,,,,,,,,,,,,,, +19,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-08-29 18:59:46.000000,2023-08-10 17:52:58,15098.0,40.0,2571,277.0,3800.0,2487.0,2695.0,8801,Statsmodels: statistical modeling and econometrics in Python.,416.0,44,True,2023-05-05 10:52:12.000,0.14.0,25.0,statsmodels,conda-forge/statsmodels,,,,101094.0,101094.0,https://pypi.org/project/statsmodels,11471564.0,11600893.0,https://anaconda.org/conda-forge/statsmodels,2023-06-16 13:16:44.091,11122304.0,,,,,1.0,29.0,,,,,,,,,,,,,,,,,,,,, +20,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-08-31 10:33:20.000000,2023-08-22 05:30:30,8343.0,82.0,18490,1919.0,6534.0,275.0,11517.0,59107,Deep Learning for humans.,1201.0,43,True,2023-06-27 23:42:33.000,2.13.1,51.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],11.0,11.0,https://pypi.org/project/keras,11184909.0,11269276.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3205960.0,,,,,1.0,,,,-2.0,,,,,,,,,,,,,,,,,, +21,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-08-31 10:09:35.000000,2023-08-31 10:09:35,6534.0,151.0,8087,912.0,4630.0,310.0,4585.0,24526,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",622.0,43,True,2023-06-19 01:38:37.000,1.7.6,52.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,65355.0,65355.0,https://pypi.org/project/xgboost,9915895.0,10029423.0,https://anaconda.org/conda-forge/xgboost,2023-08-26 05:00:33.552,4198306.0,,,,,1.0,6997.0,,,,,,,,,,,,,,,,,,,,, +22,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-08-31 13:47:08.000000,2023-08-31 13:47:03,17259.0,987.0,2217,313.0,10808.0,1208.0,3243.0,24454,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",569.0,43,True,2023-08-30 19:26:20.000,jax-v0.4.15,81.0,jax,conda-forge/jaxlib,,,,16917.0,16917.0,https://pypi.org/project/jax,2855480.0,2879036.0,https://anaconda.org/conda-forge/jaxlib,2023-07-30 18:45:00.131,895164.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +23,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-08-29 02:52:38.000000,2023-08-23 16:21:46,3324.0,49.0,3761,441.0,2967.0,306.0,2798.0,15412,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",287.0,43,True,2023-07-13 21:20:18.278,4.0.0,33.0,lightgbm,conda-forge/lightgbm,,,,25423.0,24646.0,https://pypi.org/project/lightgbm,6288893.0,6347477.0,https://anaconda.org/conda-forge/lightgbm,2023-07-14 13:55:17.383,1958918.0,,,,,1.0,198785.0,2023-07-13 21:20:18.278,777.0,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-08-24 12:28:14.000000,2023-08-24 12:28:14,6172.0,213.0,2390,279.0,1542.0,1408.0,1346.0,14040,The interactive graphing library for Python This project now includes Plotly Express!.,244.0,43,True,2023-08-16 18:25:11.000,5.16.1,292.0,plotly,conda-forge/plotly,,,,5128.0,11.0,https://pypi.org/project/plotly,11838696.0,11995635.0,https://anaconda.org/conda-forge/plotly,2023-08-16 21:22:51.337,4696916.0,,,,,1.0,,2023-08-16 18:14:13.000,5111.0,4.0,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,6.0,36506.0,,,,,,,,,,,,, +25,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-08-31 13:55:24.000000,2023-08-30 18:45:40,7847.0,69.0,1643,215.0,5432.0,957.0,4019.0,11338,Parallel computing with task scheduling.,584.0,43,True,2023-08-18 20:25:44.000,2023.8.1,177.0,dask,conda-forge/dask,,,,55118.0,52155.0,https://pypi.org/project/dask,10486311.0,10740444.0,https://anaconda.org/conda-forge/dask,2023-08-18 22:28:14.439,9911218.0,,,,,1.0,,2023-08-18 20:25:44.000,2963.0,,,,,,,stable/dask,,,,,,,,,,,, +26,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-08-30 22:24:07.000000,2023-08-30 22:24:07,5643.0,133.0,1604,192.0,4756.0,640.0,1202.0,6345,TensorFlows Visualization Toolkit.,305.0,43,True,2023-08-08 22:35:21.000,2.14.0,53.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],188054.0,185302.0,https://pypi.org/project/tensorboard,20423592.0,20535020.0,https://anaconda.org/conda-forge/tensorboard,2023-08-09 15:42:17.420,4234290.0,,,,,1.0,,2023-08-08 22:35:21.000,2752.0,,,,,,,,,,,,,,,,,,, +27,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-08-31 10:49:35.000000,2023-08-31 02:39:13,1772.0,217.0,3379,301.0,2061.0,813.0,1280.0,28065,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",234.0,42,True,2023-08-18 22:29:18.000,0.10.1,69.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],3847.0,3780.0,https://pypi.org/project/deepspeed,504578.0,504974.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,3.0,17059.0,1.0,,2023-08-18 22:27:52.000,67.0,,,,,,,,,,,,,,,,,,, +28,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-08-31 14:44:06.000000,2023-08-30 19:19:13,5593.0,423.0,1448,133.0,2342.0,411.0,2276.0,21444,"Wrap UIs around any model, share with anyone.",196.0,42,True,2023-08-25 19:13:10.000,3.41.2,484.0,gradio,,,,,12577.0,12435.0,https://pypi.org/project/gradio,4333628.0,4333628.0,,,,,,,,1.0,,2023-08-25 19:13:10.000,142.0,,,,,,,,,,,,,,,,,,, +29,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-08-31 14:01:27.000000,2023-08-31 13:06:06,43357.0,1347.0,5107,726.0,39435.0,1081.0,16128.0,20779,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1093.0,42,True,2023-07-25 11:09:59.000,2.5.0,60.0,paddlepaddle,,,,['paddle'],279.0,279.0,https://pypi.org/project/paddlepaddle,174037.0,174219.0,,,,,,,,2.0,15362.0,,,,,,,,,,,,,,,,,,,,, +30,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-08-31 14:23:24.000000,2023-08-30 20:01:39,2496.0,127.0,3568,433.0,2912.0,336.0,2199.0,15426,Open standard for machine learning interoperability.,292.0,42,True,2023-08-25 21:00:03.000,1.14.1,30.0,onnx,conda-forge/onnx,,,,18674.0,18104.0,https://pypi.org/project/onnx,2905516.0,2927273.0,https://anaconda.org/conda-forge/onnx,2023-07-12 10:54:40.179,816368.0,,,,,1.0,19181.0,2023-08-25 20:34:27.000,570.0,,,,,,,,,,,,,,,,,,, +31,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-08-31 14:14:56.000000,2023-08-31 11:05:37,3662.0,141.0,6768,399.0,4967.0,931.0,2194.0,14474,"Datasets, Transforms and Models specific to Computer Vision.",548.0,42,True,2023-05-08 20:12:27.000,0.15.2,37.0,torchvision,conda-forge/torchvision,,,['pytorch'],4516.0,11.0,https://pypi.org/project/torchvision,6916838.0,6945453.0,https://anaconda.org/conda-forge/torchvision,2023-06-22 22:01:34.204,818561.0,,,,,1.0,29576.0,2023-05-08 17:33:10.987,4505.0,,,,,,,,,,,,,,,,,,, +32,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-08-30 03:25:45.336000,2023-08-29 22:19:23,4502.0,50.0,2024,1702.0,4316.0,227.0,2528.0,11145,WebGL2 powered visualization framework.,237.0,42,True,2023-08-30 03:25:45.336,8.9.27,610.0,pydeck,conda-forge/pydeck,,,['jupyter'],6937.0,6431.0,https://pypi.org/project/pydeck,1403339.0,1864109.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,430927.0,,,,,1.0,,2023-04-15 06:29:01.705,40.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-08-30 03:25:45.336,466.0,450510.0,,,,,,,,,,,,, +33,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-08-31 12:54:01.000000,2023-08-31 12:54:00,3170.0,23.0,1737,256.0,1029.0,137.0,2257.0,11043,Statistical data visualization in Python.,199.0,42,True,2023-01-02 17:36:07.692,0.12.2,33.0,seaborn,conda-forge/seaborn,,,,306733.0,295869.0,https://pypi.org/project/seaborn,9951091.0,10038259.0,https://anaconda.org/conda-forge/seaborn,2023-06-16 13:21:42.625,7321957.0,,,,,1.0,268.0,2023-02-02 20:55:53.164,10864.0,,,,,,,,,,,,,,,,,,, +34,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-08-30 19:10:45.196000,2023-08-30 13:58:07,3563.0,59.0,751,149.0,1261.0,199.0,1657.0,8442,Declarative statistical visualization library for Python.,157.0,42,True,2023-08-30 11:35:46.000,5.1.1,37.0,altair,conda-forge/altair,,,,70848.0,70260.0,https://pypi.org/project/altair,14207664.0,14306585.0,https://anaconda.org/conda-forge/altair,2023-08-30 19:10:45.196,1978401.0,,,,,1.0,81.0,2023-08-30 11:28:40.000,588.0,,,,,,,,,,,,,,,,,,, +35,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-08-29 17:34:11.000000,2023-08-26 19:38:11,13672.0,92.0,2169,188.0,4220.0,716.0,1986.0,5555,Image processing in Python.,625.0,42,False,2023-06-02 05:03:22.000,0.21.0,57.0,scikit-image,conda-forge/scikit-image,,,,162355.0,152243.0,https://pypi.org/project/scikit-image,8105582.0,8250034.0,https://anaconda.org/conda-forge/scikit-image,2023-07-08 14:10:33.891,5489193.0,,,,,1.0,,2023-06-02 05:00:23.583,10112.0,,,,,,,,,,,,,,,,,,, +36,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-08-30 20:20:08.000000,2023-08-30 10:53:00,2494.0,123.0,2990,259.0,676.0,1401.0,889.0,19995,A game theoretic approach to explain the output of any machine learning model.,220.0,41,True,2023-07-15 11:31:17.694,0.42.1,98.0,shap,conda-forge/shap,,,,13398.0,12995.0,https://pypi.org/project/shap,7117105.0,7181485.0,https://anaconda.org/conda-forge/shap,2023-07-26 09:30:41.606,2060168.0,,,,,1.0,,2023-07-15 11:31:17.694,403.0,,,,,,,,shap/shap,,,,,,,,,,, +37,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-08-31 09:56:15.000000,2023-08-30 14:04:10,32476.0,496.0,4265,346.0,6110.0,1.0,6642.0,16936,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",592.0,41,True,2023-08-30 16:44:54.000,3.5.16,100.0,rasa,,,,['tensorflow'],3622.0,3622.0,https://pypi.org/project/rasa,106473.0,106473.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +38,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-08-27 14:14:53.000000,2023-08-27 14:14:44,4506.0,37.0,4146,434.0,1675.0,374.0,1440.0,14590,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:44:46.000,4.3.2,43.0,gensim,conda-forge/gensim,,,,49554.0,49554.0,https://pypi.org/project/gensim,3853943.0,3892802.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1125559.0,,,,,1.0,4450.0,,,,,,,,,,,,,,,,,,,,, +39,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-08-22 21:50:47.000000,2023-06-02 02:45:47,14445.0,,2649,469.0,1427.0,245.0,1483.0,12277,Suite of libraries and programs for symbolic and statistical natural language processing for English.,441.0,41,True,,,17.0,nltk,conda-forge/nltk,,,,216275.0,216275.0,https://pypi.org/project/nltk,11540438.0,11566318.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2173998.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +40,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-08-30 23:52:19.000000,2023-08-30 00:15:21,8952.0,204.0,1077,135.0,5133.0,568.0,3876.0,11916,Data Version Control | Git for Data & Models | ML Experiments Management.,285.0,41,True,2023-08-29 14:50:12.000,3.17.0,468.0,dvc,conda-forge/dvc,,,,9242.0,9174.0,https://pypi.org/project/dvc,709532.0,756879.0,https://anaconda.org/conda-forge/dvc,2023-08-29 16:06:18.976,1675481.0,,,,,1.0,39074.0,2023-08-29 14:51:38.000,68.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +41,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-08-31 11:09:13.000000,2023-08-31 11:09:11,46414.0,426.0,1139,195.0,363.0,514.0,1612.0,7326,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1164.0,41,True,2023-08-28 20:57:58.000,1.2.1,107.0,catboost,conda-forge/catboost,,,,336.0,9.0,https://pypi.org/project/catboost,1945852.0,1989921.0,https://anaconda.org/conda-forge/catboost,2023-08-28 20:56:05.258,1373574.0,,,,,2.0,173670.0,2023-08-28 11:40:28.000,327.0,5.0,,,,,,,,,,,,,,,,,, +42,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-08-31 13:57:51.000000,2023-08-31 12:35:31,5754.0,364.0,547,54.0,3503.0,703.0,1990.0,7159,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,155.0,41,True,2023-08-28 20:59:42.000,0.15.9,260.0,wandb,conda-forge/wandb,,,,29022.0,28467.0,https://pypi.org/project/wandb,6492683.0,6501898.0,https://anaconda.org/conda-forge/wandb,2023-08-29 14:20:21.996,340956.0,,,,,1.0,,2023-08-28 20:53:51.000,555.0,,,,,,,,wandb/wandb,,,,,,,,,,, +43,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-08-01 15:41:14.000000,2023-01-30 18:15:21,1757.0,,8561,1050.0,1448.0,68.0,1715.0,32626,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,47757.0,45098.0,https://pypi.org/project/gym,346376.0,352504.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,245131.0,,,,,1.0,,2022-10-04 23:58:42.348,2659.0,,,,,,,,,,,,,,,,,,, +44,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-08-31 12:47:51.000000,2023-08-30 20:30:12,5708.0,165.0,2367,298.0,3623.0,674.0,2881.0,26867,Streamlit A faster way to build and share data apps.,195.0,40,True,2023-08-24 21:21:14.000,1.26.0,205.0,streamlit,,,,,1942.0,948.0,https://pypi.org/project/streamlit,2501408.0,2501408.0,,,,,,,,1.0,,2023-08-24 21:21:06.000,994.0,,,,,,,,,,,,,,,,,,, +45,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-08-30 20:28:21.000000,2023-08-29 16:49:04,7007.0,147.0,1936,414.0,987.0,764.0,830.0,19274,Data Apps & Dashboards for Python. No JavaScript Required.,140.0,40,True,2023-08-28 15:33:00.000,2.13.0,171.0,dash,conda-forge/dash,,,,52222.0,50837.0,https://pypi.org/project/dash,2005115.0,2033355.0,https://anaconda.org/conda-forge/dash,2023-08-29 07:58:10.918,1073140.0,,,,,1.0,,2023-08-28 15:28:35.000,1385.0,,,,,,,,,,,,,,,,,,, +46,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-08-31 14:10:30.000000,2023-08-24 13:49:49,8427.0,96.0,2157,204.0,4087.0,18.0,1879.0,19041,"Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus,..",171.0,40,True,2023-08-10 15:51:36.000,3.20.1,2423.0,jina,conda-forge/jina-core,jinaai/jina,,,961.0,947.0,https://pypi.org/project/jina,224785.0,257045.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,53992.0,https://hub.docker.com/r/jinaai/jina,2023-08-24 14:32:07.415692,8.0,1256356.0,2.0,,2023-08-10 15:36:42.000,14.0,,,,,,,,,,,,,,,,,,, +47,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-08-26 23:55:59.000000,2023-08-26 23:55:59,8219.0,19.0,3243,479.0,669.0,47.0,2099.0,12208,A toolkit for making real world machine learning and data analysis applications in C++.,189.0,40,False,2023-06-03 20:05:00.841,19.24.2,34.0,dlib,conda-forge/dlib,,,,22564.0,21777.0,https://pypi.org/project/dlib,118876.0,126524.0,https://anaconda.org/conda-forge/dlib,2023-06-05 15:05:40.278,613403.0,,,,,2.0,25288.0,2022-05-08 14:40:14.000,787.0,,,,,,,,,,,,,,,,,,, +48,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-08-31 07:49:05.000000,2023-08-31 04:57:49,1232.0,268.0,847,156.0,1363.0,316.0,463.0,8021,Development repository for the Triton language and compiler.,159.0,40,True,2023-03-03 02:41:05.821,2.0.0,190.0,triton,,,,,6699.0,6649.0,https://pypi.org/project/triton,4363595.0,4363595.0,,,,,,,,1.0,,2023-03-17 16:48:01.607,50.0,,,,,,,,,,,,,,,,,,, +49,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-08-31 14:28:45.000000,2023-08-29 16:51:52,5469.0,144.0,701,57.0,4672.0,1406.0,2231.0,1488,A distributed task scheduler for Dask.,317.0,40,True,2023-08-18 20:25:47.000,2023.8.1,209.0,distributed,conda-forge/distributed,,,,31530.0,30247.0,https://pypi.org/project/distributed,7751275.0,8055350.0,https://anaconda.org/conda-forge/distributed,2023-08-18 21:49:20.600,11858945.0,,,,,1.0,,2023-08-18 20:25:47.000,1283.0,,,,,,,,,,,,,,,,,,, +50,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-08-31 09:57:55.000000,2023-08-22 05:26:03,2691.0,23.0,7429,613.0,2191.0,172.0,1579.0,24426,The fastai deep learning library.,654.0,39,True,2023-03-28 20:29:01.253,2.7.12,146.0,fastai,,,,['pytorch'],14872.0,14538.0,https://pypi.org/project/fastai,322466.0,322466.0,,,,,,,,2.0,,2023-03-28 20:29:01.253,334.0,,,,,,,,,,,,,,,,,,, +51,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-08-31 14:19:46.000000,2023-08-31 12:07:00,17870.0,665.0,2451,340.0,16669.0,674.0,8102.0,22582,"A cloud-native vector database, storage for next generation AI applications.",253.0,39,True,2023-08-23 15:38:04.000,2.3.0,100.0,pymilvus,,milvusdb/milvus,,,32.0,,https://pypi.org/project/pymilvus,459115.0,560592.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-08-31 12:48:06.078626,34.0,4562396.0,1.0,39646.0,2023-08-23 14:17:56.000,32.0,,,,,,,,,,,,,,,,,,, +52,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-08-31 09:52:54.000000,2023-08-31 07:49:22,3363.0,289.0,2884,170.0,3901.0,417.0,2033.0,12137,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",274.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,214.0,138.0,https://pypi.org/project/dgl,125760.0,125760.0,,,,,,,,1.0,,2023-08-30 08:45:26.000,76.0,,,,,,,,,,,,,,,,,,, +53,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-08-23 20:34:21.000000,2023-08-13 12:05:02,1039.0,97.0,1963,229.0,449.0,171.0,985.0,10125,Download market data from Yahoo! Finances API.,91.0,39,True,2023-08-13 12:07:59.000,0.2.28,97.0,yfinance,ranaroussi/yfinance,,,,26913.0,26654.0,https://pypi.org/project/yfinance,1067263.0,1070446.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,79579.0,,,,,1.0,,2023-08-13 12:07:59.000,259.0,,,,,,,,,,,,,,,,,,, +54,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-08-31 11:27:58.000000,2023-08-28 10:00:16,16393.0,410.0,852,124.0,3194.0,128.0,1380.0,8554,A hyperparameter optimization framework.,236.0,39,False,2023-08-07 07:14:37.000,3.3.0,60.0,optuna,conda-forge/optuna,,,,9773.0,9381.0,https://pypi.org/project/optuna,1815174.0,1828142.0,https://anaconda.org/conda-forge/optuna,2023-08-07 10:47:33.490,492803.0,,,,,1.0,,2023-08-07 07:14:37.000,392.0,,,,,,,,,,,,,,,,,,, +55,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-08-30 19:04:54.000000,2023-08-30 06:59:20,9617.0,94.0,1800,229.0,3684.0,207.0,2895.0,7746,Bayesian Modeling in Python.,462.0,39,True,2023-08-09 08:31:31.000,5.7.2,67.0,pymc3,conda-forge/pymc3,,,,2158.0,1910.0,https://pypi.org/project/pymc3,416899.0,423433.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,534352.0,,,,,1.0,1923.0,2022-03-15 10:10:19.000,248.0,,,,,,,,,,,,,,,,,,, +56,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-08-31 07:01:07.000000,2023-08-29 22:35:03,3854.0,239.0,1123,104.0,2940.0,652.0,1244.0,6770,A unified framework for machine learning with time series.,283.0,39,True,2023-08-18 16:45:13.000,0.22.0,52.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1630.0,1586.0,https://pypi.org/project/sktime,793806.0,827337.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-08-21 09:01:06.403,838261.0,,,,,1.0,84.0,2023-08-18 16:45:13.000,44.0,,,,,,,,sktime/sktime,,,,,,,,,,, +57,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-08-31 12:07:10.000000,2023-08-31 12:02:03,1785.0,31.0,846,106.0,1424.0,429.0,1134.0,3823,Python tools for geographic data.,210.0,39,True,2023-06-06 14:56:58.336,0.13.2,48.0,geopandas,conda-forge/geopandas,,,['pandas'],26842.0,25226.0,https://pypi.org/project/geopandas,5410202.0,5445154.0,https://anaconda.org/conda-forge/geopandas,2023-06-06 13:24:28.136,3108559.0,,,,,1.0,2156.0,2023-06-06 14:56:58.336,1616.0,,,,,,,,,,,,,,,,,,, +58,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-08-31 13:30:04.000000,2023-08-31 11:42:41,37944.0,1023.0,26091,2042.0,42725.0,,,36583,Apache Spark Python API.,2934.0,38,True,,,32.0,pyspark,conda-forge/pyspark,,,['spark'],,,https://pypi.org/project/pyspark,25012460.0,25085577.0,https://anaconda.org/conda-forge/pyspark,2023-06-27 13:31:45.123,2778467.0,,,,,2.0,,,,,,,,,,stable/spark,,,,,,,,,,,, +59,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-08-31 07:43:17.000000,2023-08-30 02:22:15,6089.0,60.0,6622,414.0,2712.0,780.0,7187.0,32859,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",177.0,38,True,2022-08-24 09:04:27.000,2.6.0,39.0,paddleocr,,,,['paddle'],1741.0,1714.0,https://pypi.org/project/paddleocr,68931.0,68931.0,,,,,,,,1.0,,2023-08-10 09:02:06.000,27.0,,,,,,,,,,,,,,,,,,, +60,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-08-31 14:07:31.000000,2023-08-31 12:49:33,9636.0,343.0,2922,236.0,9341.0,647.0,5753.0,24501,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",898.0,38,True,2023-08-30 12:29:17.000,2.0.8,101.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],,,https://pypi.org/project/pytorch-lightning,4213504.0,4238256.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-08-30 20:33:24.075,924182.0,,,,,2.0,12974.0,,,,,,,,,,,,,,,,,,,,, +61,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-08-31 08:27:58.000000,2023-08-31 08:11:45,874.0,46.0,3089,463.0,787.0,343.0,1830.0,24187,A library for efficient similarity search and clustering of dense vectors.,136.0,38,True,2023-08-23 14:17:56.000,2.3.0,83.0,pymilvus,conda-forge/faiss,,,,2849.0,2817.0,https://pypi.org/project/pymilvus,459115.0,481235.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,862693.0,,,,,1.0,,2023-08-23 14:17:56.000,32.0,,,,,,,,,,,,,,,,,,, +62,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-08-29 22:30:16.000000,2023-01-26 21:28:45,11896.0,,6880,1080.0,11119.0,1799.0,7763.0,20526,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],6967.0,6672.0,https://pypi.org/project/mxnet,425715.0,426165.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10078.0,,,,,2.0,26350.0,2022-05-17 21:11:13.000,290.0,,,,,,,,apache/mxnet,,,,5.0,,,,,,, +63,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-08-31 14:12:23.000000,2023-08-30 12:48:42,6920.0,198.0,3349,256.0,2308.0,830.0,2432.0,18365,Graph Neural Network Library for PyTorch.,434.0,38,True,2023-04-27 10:39:41.624,2.3.1,39.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],104.0,,https://pypi.org/project/torch-geometric,230969.0,231770.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,29637.0,,,,,1.0,,2023-04-27 10:39:41.624,104.0,3.0,,,,,,,,,,,,,,,,,, +64,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-08-31 09:15:58.000000,2023-08-30 21:59:41,2524.0,80.0,857,124.0,1601.0,252.0,573.0,8544,Computer Vision and Robotics Library for AI.,224.0,38,True,2023-08-02 10:18:58.000,0.7.0,37.0,kornia,conda-forge/kornia,,,['pytorch'],6051.0,5945.0,https://pypi.org/project/kornia,2379731.0,2382749.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,96190.0,,,,,1.0,808.0,2023-08-02 10:18:58.000,106.0,,,,,,,,,,,,,,,,,,, +65,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-08-31 12:02:21.000000,2023-08-30 22:03:42,19175.0,999.0,1978,179.0,3088.0,214.0,2014.0,6930,End-to-End Speech Processing Toolkit.,366.0,38,True,2023-08-03 13:36:23.000,.202308,50.0,espnet,,,,,226.0,221.0,https://pypi.org/project/espnet,29801.0,29802.0,,,,,,,,1.0,79.0,2023-08-03 13:37:00.000,5.0,,,,,,,,,,,,,,,,,,, +66,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-08-31 11:57:41.000000,2023-08-18 22:46:26,9127.0,684.0,1109,125.0,966.0,168.0,818.0,6498,A PyTorch-based Speech Toolkit.,219.0,38,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],925.0,911.0,https://pypi.org/project/speechbrain,162003.0,162003.0,,,,,,,,1.0,,2023-07-22 18:08:45.000,14.0,,,,,,,,,,,,,,,,,,, +67,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-08-25 09:14:40.000000,2023-08-15 08:38:44,1690.0,15.0,2195,168.0,767.0,55.0,969.0,6378,Python Data. Leaflet.js Maps.,153.0,38,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,28994.0,28215.0,https://pypi.org/project/folium,655610.0,681080.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2266909.0,,,,,1.0,,2022-12-12 20:39:34.303,779.0,,,,,,,,,,,,,,,,,,, +68,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-08-31 14:23:55.000000,2023-08-31 11:14:38,1063.0,193.0,592,92.0,981.0,91.0,838.0,5598,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",172.0,38,True,2023-08-23 06:26:33.000,0.22.0,34.0,accelerate,conda-forge/accelerate,,,['pytorch'],12925.0,12635.0,https://pypi.org/project/accelerate,5383488.0,5386181.0,https://anaconda.org/conda-forge/accelerate,2023-08-23 14:08:26.871,59259.0,,,,,1.0,,2023-08-23 06:25:15.000,290.0,,,,,,,,,,,,,,,,,,, +69,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-08-31 14:32:03.000000,2023-08-30 17:29:38,5985.0,130.0,1459,111.0,3966.0,643.0,685.0,3988,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",291.0,38,True,2023-04-13 11:23:03.098,4.9.2,35.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],14389.0,14186.0,https://pypi.org/project/tensorflow-datasets,1830669.0,1831490.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,22178.0,,,,,1.0,,2023-04-13 11:23:03.098,203.0,,,,,,,,,,,,,,,,,,, +70,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2023-08-31 13:32:10.000000,2023-08-31 13:09:56,17551.0,125.0,1217,85.0,7386.0,531.0,4057.0,2328,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,348.0,38,True,2023-08-15 17:55:48.000,1.5.0,74.0,mne,conda-forge/mne,,,,3205.0,2935.0,https://pypi.org/project/mne,89607.0,97841.0,https://anaconda.org/conda-forge/mne,2023-08-15 19:52:43.445,321133.0,,,,,1.0,,2023-08-15 17:55:48.000,270.0,,,,,,,,,,,,,,,,,,, +71,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2023-08-31 09:24:43.000000,2023-08-30 04:15:47,3239.0,139.0,1042,135.0,2621.0,489.0,834.0,1914,A library for training and deploying machine learning models on Amazon SageMaker.,388.0,38,True,2023-08-29 17:11:28.000,2.182.0,534.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3017.0,2936.0,https://pypi.org/project/sagemaker,33404994.0,33423722.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-08-29 18:53:05.426,674235.0,,,,,2.0,,2023-08-29 17:11:28.000,81.0,,,,,,,,,,,,,,,,,,, +72,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-08-30 01:01:23.000000,2023-08-29 18:47:01,1500.0,15.0,263,32.0,464.0,95.0,478.0,1305,Python library for reading and writing image data.,105.0,38,True,2023-08-26 12:23:06.000,2.31.2,82.0,imageio,conda-forge/imageio,,,,102682.0,99711.0,https://pypi.org/project/imageio,15371009.0,15440456.0,https://anaconda.org/conda-forge/imageio,2023-06-12 06:54:47.545,5485266.0,,,,,1.0,824.0,2023-08-26 12:23:02.000,2971.0,,,,,,,,,,,,,,,,,,, +73,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699,1288.0,164.0,662.0,219.0,31143,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,25365.0,23719.0,https://pypi.org/project/jieba,559452.0,561351.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,144337.0,,,,,1.0,,2020-01-20 14:27:23.000,1646.0,,,,,,,,,,,,,,,,,,, +74,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-08-31 14:23:28.000000,2023-06-26 06:46:56,1325.0,4.0,2205,333.0,1563.0,359.0,1845.0,13538,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",170.0,37,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1014.0,983.0,https://pypi.org/project/horovod,93361.0,93361.0,,,,,,,,2.0,,2023-06-12 09:28:02.604,31.0,,,,,,,stable/horovod,,,,,,,,,,,, +75,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-08-24 16:28:11.000000,2023-08-16 18:54:36,5608.0,69.0,1694,205.0,1138.0,45.0,2123.0,13047,A very simple framework for state-of-the-art Natural Language Processing (NLP).,249.0,37,False,2023-03-30 15:49:56.000,0.12.2,23.0,flair,conda-forge/python-flair,,,['pytorch'],2682.0,2682.0,https://pypi.org/project/flair,87248.0,87801.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,20487.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +76,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-08-30 00:30:58.000000,2023-08-30 00:29:59,1331.0,34.0,1532,151.0,700.0,175.0,533.0,11064,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,112.0,37,True,2023-08-11 15:54:46.000,4.5.1,50.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1401.0,1212.0,https://pypi.org/project/pandas-profiling,967432.0,972107.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,392729.0,,,,,2.0,,2023-02-03 17:59:40.571,189.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,, +77,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-08-31 12:16:18.000000,2023-08-31 11:33:29,2516.0,231.0,1345,113.0,2626.0,412.0,2069.0,10519,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",190.0,37,True,2023-07-26 16:22:23.000,1.19.0,61.0,haystack,,,,,945.0,858.0,https://pypi.org/project/haystack,2332.0,2332.0,,,,,,,,1.0,23.0,2017-07-03 04:44:52.000,87.0,,,,,,,,,,,,,,,,,,, +78,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-08-30 09:31:33.000000,2023-08-30 09:31:32,4922.0,89.0,1639,127.0,936.0,294.0,1855.0,7656,"An open-source, low-code machine learning library in Python.",124.0,37,True,2023-07-02 04:09:52.000,3.0.4,93.0,pycaret,conda-forge/pycaret,,,,4298.0,4284.0,https://pypi.org/project/pycaret,229142.0,230198.0,https://anaconda.org/conda-forge/pycaret,2023-08-08 20:36:32.365,37412.0,,,,,2.0,658.0,2022-06-06 15:35:50.000,14.0,,,,,,,,,,,,,,,,,,, +79,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-08-14 13:52:25.000000,2023-08-09 08:39:17,844.0,39.0,1247,142.0,484.0,35.0,529.0,6468,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,78.0,37,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],19990.0,19665.0,https://pypi.org/project/imbalanced-learn,4734188.0,4746291.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,459931.0,,,,,1.0,,2023-07-08 21:51:38.887,325.0,,,,,,,,,,,,,,,,,,, +80,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-08-31 05:14:26.000000,2023-08-28 08:52:16,3767.0,159.0,504,80.0,1918.0,102.0,626.0,4652,Flax is a neural network library for JAX that is designed for flexibility.,202.0,37,True,2023-08-09 01:43:16.000,0.7.2,33.0,flax,conda-forge/flax,,,['jax'],4128.0,4128.0,https://pypi.org/project/flax,1887002.0,1888136.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,32871.0,,,,,2.0,49.0,,,,,,,,,,,,,,,,,,,,, +81,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-08-30 22:33:38.000000,2023-08-30 22:33:36,11950.0,50.0,1079,170.0,451.0,647.0,728.0,3964,Probabilistic reasoning and statistical analysis in TensorFlow.,480.0,37,True,2023-08-04 18:00:53.000,0.21.0,48.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],419.0,,https://pypi.org/project/tensorflow-probability,1225922.0,1229628.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-07-23 10:45:53.935,111206.0,,,,,1.0,,2023-08-04 18:00:53.000,419.0,,,,,,,,,,,,,,,,,,, +82,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-08-31 13:56:52.000000,2023-08-31 13:56:49,3781.0,92.0,1021,154.0,1500.0,357.0,853.0,3377,Fast data visualization and GUI tools for scientific / engineering applications.,259.0,37,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,8742.0,7819.0,https://pypi.org/project/pyqtgraph,122199.0,127914.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,451523.0,,,,,2.0,,2022-09-29 04:05:13.139,923.0,3.0,,,,,,,,,,,,,,,,,, +83,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-08-30 22:43:48.000000,2023-08-28 15:58:41,3771.0,15.0,522,148.0,1092.0,141.0,1572.0,2010,Rasterio reads and writes geospatial raster datasets.,149.0,37,True,2023-06-28 17:18:47.000,1.3.8,150.0,rasterio,conda-forge/rasterio,,,,9586.0,8623.0,https://pypi.org/project/rasterio,1722708.0,1804783.0,https://anaconda.org/conda-forge/rasterio,2023-06-29 11:08:32.699,2544098.0,,,,,2.0,853.0,2023-06-28 16:47:03.167,963.0,,,,,,,,,,,,,,,,,,, +84,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-08-31 10:33:56.000000,2023-08-18 15:10:40,2313.0,7.0,5795,413.0,1298.0,981.0,3014.0,27306,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],1923.0,1923.0,https://pypi.org/project/fairseq,318729.0,319993.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,46613.0,,,,,1.0,317.0,,,,,,,,,,,,,,,,,,,,, +85,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-08-31 05:14:49.000000,2023-08-30 22:03:28,2003.0,98.0,4169,299.0,375.0,63.0,724.0,26560,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",108.0,36,True,2023-08-29 19:06:35.000,0.9.6,48.0,timm,conda-forge/timm,,,['pytorch'],11.0,11.0,https://pypi.org/project/timm,3796833.0,3903280.0,https://anaconda.org/conda-forge/timm,2023-08-04 20:58:37.045,90045.0,,,,,1.0,5304742.0,,,-2.0,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,, +86,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-08-31 14:15:06.000000,2023-06-30 07:37:44,2613.0,21.0,8981,376.0,3008.0,1011.0,6514.0,25353,OpenMMLab Detection Toolbox and Benchmark.,411.0,36,True,2023-06-30 07:44:00.633,3.1.0,51.0,mmdet,,,,['pytorch'],38.0,11.0,https://pypi.org/project/mmdet,175094.0,175094.0,,,,,,,,1.0,,2022-06-01 16:40:25.000,27.0,,,,,,,,,,,,,,,,,,, +87,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-08-25 09:18:13.000000,2023-08-21 03:59:26,1627.0,9.0,2814,381.0,454.0,3.0,1768.0,13835,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3664.0,3418.0,https://pypi.org/project/pyecharts,127347.0,127347.0,,,,,,,,2.0,,2023-08-21 03:40:32.000,246.0,,,,,,,,,,,,,,,,,,, +88,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-08-30 11:10:38.000000,2023-08-07 02:39:54,3011.0,15.0,1819,285.0,3498.0,308.0,1670.0,13230,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,36,True,2023-05-16 23:50:39.741,2.10.1,54.0,nni,,,,,500.0,466.0,https://pypi.org/project/nni,21481.0,21481.0,,,,,,,,1.0,,2022-06-22 05:07:14.000,34.0,,,,,,,,,,,,,,,,,,, +89,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-08-31 14:45:48.000000,2023-08-31 14:45:44,15842.0,2229.0,5237,68.0,9771.0,4376.0,9073.0,12840,The Unified AI Framework.,1289.0,36,True,2023-08-21 10:13:58.000,0.0.2.0,101.0,ivy,,,,,8.0,,https://pypi.org/project/ivy,1606.0,1606.0,,,,,,,,2.0,,2023-08-21 10:15:34.000,8.0,,,,,,,,,,,,,,,,,,, +90,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260,284.0,3096.0,91.0,2477.0,11565,"An open-source NLP research library, built on PyTorch.",265.0,36,True,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],3902.0,3714.0,https://pypi.org/project/allennlp,41629.0,43678.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,114798.0,,,,,1.0,61.0,2022-10-18 23:54:05.191,188.0,,,,,,,,,,,,,,,,,,, +91,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-08-30 15:17:50.000000,2023-07-11 16:23:35,1095.0,2.0,1361,252.0,648.0,339.0,1014.0,10842,Video editing with Python.,160.0,36,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,28011.0,28011.0,https://pypi.org/project/moviepy,666623.0,669371.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,200673.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +92,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511,547.0,4118.0,685.0,2087.0,9773,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,36,False,,,8.0,theano,conda-forge/theano,,,,14212.0,14212.0,https://pypi.org/project/theano,446184.0,473894.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2355372.0,,,,,2.0,,,,-2.0,,,,,,,,,,,,,,,,,, +93,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-08-29 11:15:27.000000,2023-08-29 11:15:26,1698.0,31.0,608,118.0,518.0,242.0,566.0,7505,Fast State-of-the-Art Tokenizers optimized for Research and Production.,77.0,36,True,2023-08-23 13:46:52.000,0.13.4.rc3,76.0,tokenizers,conda-forge/tokenizers,,,,39801.0,39801.0,https://pypi.org/project/tokenizers,11789917.0,11822985.0,https://anaconda.org/conda-forge/tokenizers,2023-06-16 19:20:53.569,1223518.0,,,,,1.0,31.0,,,,,,,,,,,,,,,,,,,,, +94,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-08-02 10:57:30.000000,2023-08-02 10:57:30,1413.0,24.0,872,214.0,219.0,174.0,232.0,6444,Efficiently computes derivatives of numpy code.,55.0,36,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6306.0,5994.0,https://pypi.org/project/autograd,1218655.0,1243254.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,344393.0,,,,,1.0,,2023-06-23 08:37:07.368,312.0,,,,,,,,,,,,,,,,,,, +95,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-08-31 07:12:12.000000,2023-08-31 07:12:11,2803.0,101.0,861,94.0,3024.0,325.0,2355.0,4620,AI Toolkit for Healthcare Imaging.,168.0,36,True,2023-06-08 17:16:23.000,1.2.0,71.0,monai,conda-forge/monai,,,['pytorch'],1307.0,1265.0,https://pypi.org/project/monai,75429.0,76279.0,https://anaconda.org/conda-forge/monai,2023-06-08 17:03:07.715,17017.0,,,,,1.0,,2022-06-13 17:32:37.000,42.0,,,,,,,,,,,,,,,,,,, +96,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-08-31 06:41:10.000000,2023-08-31 06:30:17,9227.0,324.0,1502,147.0,1930.0,466.0,1205.0,4560,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",225.0,36,True,2022-12-01 14:00:47.111,2.7.1,677.0,deepchem,conda-forge/deepchem,,,['tensorflow'],255.0,246.0,https://pypi.org/project/deepchem,12535.0,14979.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,102686.0,,,,,1.0,,2023-08-31 06:41:10.000,9.0,,,,,,,,,,,,,,,,,,, +97,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-08-31 14:17:55.000000,2023-08-31 08:41:25,20348.0,453.0,1123,237.0,7059.0,799.0,1212.0,4316,"Fast, distributed, secure AI for Big Data.",179.0,36,True,2023-04-24 02:17:43.000,2.3.0,647.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,4697.0,4697.0,,,,,,,,2.0,,2023-08-30 13:47:28.000,1.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +98,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-08-27 20:08:56.023000,2023-08-27 17:01:46,1130.0,22.0,627,91.0,265.0,31.0,251.0,4056,Geocoding library for Python.,132.0,36,True,2023-08-27 18:59:34.000,2.4.0,60.0,geopy,conda-forge/geopy,,,,4012.0,,https://pypi.org/project/geopy,4103339.0,4133408.0,https://anaconda.org/conda-forge/geopy,2023-08-27 20:08:56.023,1142628.0,,,,,2.0,,2023-08-27 18:57:29.000,4012.0,,,,,,,,,,,,,,,,,,, +99,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-08-29 19:05:34.000000,2023-08-19 21:28:11,2204.0,12.0,539,88.0,742.0,226.0,870.0,3401,Manipulation and analysis of geometric objects.,146.0,36,True,2023-02-02 20:56:27.127,1.8.5,120.0,shapely,conda-forge/shapely,,,,52109.0,51215.0,https://pypi.org/project/shapely,13112195.0,13340463.0,https://anaconda.org/conda-forge/shapely,2023-08-19 10:00:46.820,8213748.0,,,,,2.0,2400.0,2023-02-02 20:56:31.341,894.0,,,,,,,,,,,,,,,,,,, +100,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-08-11 14:32:35.502000,2023-08-11 07:15:00,5247.0,11.0,266,83.0,760.0,17.0,123.0,2742,"A refreshing functional take on deep learning, compatible with your favorite libraries.",62.0,36,True,2023-08-11 09:46:01.000,8.2.0,74.0,thinc,conda-forge/thinc,,,,36018.0,36018.0,https://pypi.org/project/thinc,4953516.0,5019796.0,https://anaconda.org/conda-forge/thinc,2023-08-11 14:32:35.502,2584947.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +101,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-08-30 21:03:06.000000,2023-08-30 21:00:38,1508.0,17.0,202,30.0,659.0,26.0,553.0,915,Python interface to PROJ (cartographic projections and coordinate transformations library).,64.0,36,True,2023-07-20 15:26:50.954,1.8.9,59.0,pyproj,conda-forge/pyproj,,,,24740.0,22809.0,https://pypi.org/project/pyproj,7349238.0,7525608.0,https://anaconda.org/conda-forge/pyproj,2023-06-14 07:22:14.931,6525698.0,,,,,2.0,,2023-06-12 15:23:40.386,1931.0,,,,,,,,,,,,,,,,,,, +102,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-08-25 22:37:22.000000,2023-08-25 22:11:00,385.0,3.0,4461,849.0,262.0,455.0,609.0,24964,Library for fast text representation and classification.,63.0,35,True,2020-04-28 09:51:33.000,0.9.2,4.0,fasttext,conda-forge/fasttext,,,,4904.0,4904.0,https://pypi.org/project/fasttext,1215208.0,1216107.0,https://anaconda.org/conda-forge/fasttext,2023-06-16 13:22:18.275,62958.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +103,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-08-29 15:44:20.000000,2023-08-21 22:27:06,776.0,4.0,4421,425.0,427.0,367.0,1677.0,16285,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,169.0,35,True,2023-05-29 15:12:28.000,1.1.4,15.0,fbprophet,conda-forge/prophet,,,,138.0,11.0,https://pypi.org/project/fbprophet,997089.0,1033676.0,https://anaconda.org/conda-forge/prophet,2023-06-15 14:12:13.774,1023785.0,,,,,1.0,1924.0,2020-09-05 16:12:50.000,127.0,,,,,,,,,,,,,,,,,,, +104,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2395,232.0,336.0,294.0,222.0,13750,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,16129.0,16129.0,https://pypi.org/project/imgaug,293344.0,296109.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,138253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +105,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-07-26 03:23:12.000000,2021-06-01 10:43:00,1848.0,,4216,549.0,708.0,332.0,1266.0,13529,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5291.0,5291.0,https://pypi.org/project/chatterbot,32729.0,32729.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +106,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-08-23 09:00:59.000000,2023-06-10 07:12:14,779.0,2.0,1525,125.0,655.0,372.0,425.0,12475,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,35,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,,['pytorch'],17386.0,17088.0,https://pypi.org/project/albumentations,1077650.0,1080250.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,130003.0,,,,,2.0,,2023-06-10 07:46:02.827,298.0,,,,,,,,,,,,,,,,,,, +107,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-08-20 17:38:53.000000,2023-08-20 17:38:53,890.0,8.0,1110,319.0,266.0,54.0,339.0,11837,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3387.0,3124.0,https://pypi.org/project/annoy,989354.0,993639.0,https://anaconda.org/conda-forge/python-annoy,2023-06-16 13:18:50.070,355718.0,,,,,2.0,,2023-06-14 16:39:02.504,263.0,,,,,,,,,,,,,,,,,,, +108,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-08-26 10:13:33.000000,2023-08-08 07:06:22,1202.0,3.0,2114,122.0,252.0,1029.0,793.0,11735,Multilingual Sentence & Image Embeddings with BERT.,112.0,35,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],14872.0,14449.0,https://pypi.org/project/sentence-transformers,2519374.0,2523561.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,146549.0,,,,,1.0,,2022-06-26 19:50:11.000,423.0,,,,,,,,,,,,,,,,,,, +109,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-08-24 11:56:38.000000,2023-06-01 18:12:56,4638.0,,4515,387.0,640.0,601.0,1236.0,11053,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,197.0,12.0,https://pypi.org/project/glfw,181463.0,217462.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,145387.0,,,,,2.0,3364047.0,2023-06-30 18:36:01.101,185.0,,,,,,,,,,,,,,,,,,, +110,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-08-31 14:08:24.000000,2023-08-31 13:57:58,23888.0,2011.0,1936,203.0,4619.0,167.0,3301.0,8908,Perform data science on data that remains in someone elses server.,500.0,35,True,2023-08-30 03:17:27.000,syftcli-v0.1.7,186.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,4908.0,4909.0,,,,,,,,1.0,77.0,2023-08-31 07:13:36.000,5.0,,,,,,,,,,,,,,,,,,, +111,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1076,269.0,156.0,101.0,155.0,8661,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2013-09-26 02:29:01.000,0.7.0,7.0,textblob,conda-forge/textblob,,,,32168.0,32168.0,https://pypi.org/project/textblob,623050.0,625799.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,230992.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,,,, +112,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-08-31 13:19:57.000000,2023-08-30 23:19:59,2430.0,55.0,575,101.0,421.0,534.0,1146.0,8177,An open source multi-tool for exploring and publishing data.,74.0,35,True,2023-04-27 15:09:02.422,0.64.3,136.0,datasette,conda-forge/datasette,,,,1246.0,1054.0,https://pypi.org/project/datasette,25037.0,25926.0,https://anaconda.org/conda-forge/datasette,2023-06-16 19:25:39.949,24884.0,,,,,1.0,56.0,2023-08-29 17:28:29.000,192.0,,,,,,,,,datasette,,,,,,,,,, +113,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-08-31 11:38:03.000000,2023-08-05 09:01:02,884.0,2.0,990,124.0,255.0,25.0,626.0,8116,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 03:20:40.000,0.1.99,25.0,sentencepiece,conda-forge/sentencepiece,,,,39401.0,39401.0,https://pypi.org/project/sentencepiece,9865452.0,9881713.0,https://anaconda.org/conda-forge/sentencepiece,2023-07-01 19:06:44.275,583363.0,,,,,1.0,29748.0,,,,,,,,,,,,,,,,,,,,, +114,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-08-30 22:55:43.000000,2023-08-25 15:08:58,2409.0,15.0,971,204.0,2231.0,241.0,816.0,8100,Deep universal probabilistic programming with Python and PyTorch.,141.0,35,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1660.0,1568.0,https://pypi.org/project/pyro-ppl,630703.0,634121.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,99139.0,,,,,1.0,,2023-07-29 21:09:56.000,92.0,,,,,,,,,,,,,,,,,,, +115,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-08-31 13:06:58.000000,2023-08-31 04:35:38,5745.0,224.0,1679,165.0,5080.0,62.0,1675.0,7764,NeMo: a toolkit for conversational AI.,240.0,35,True,2023-08-04 19:50:15.000,1.20.0,44.0,nemo-toolkit,,,,['pytorch'],11.0,11.0,https://pypi.org/project/nemo-toolkit,38932.0,40312.0,,,,,,,,1.0,64885.0,,,,,,,,,,,,,,,,,,,,, +116,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-08-20 16:29:43.490000,2023-08-20 11:58:59,525.0,15.0,870,86.0,271.0,78.0,376.0,7676,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",81.0,35,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,34798.0,33819.0,https://pypi.org/project/tensorboardX,2416878.0,2446455.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1094165.0,,,,,2.0,398.0,2023-08-20 13:38:18.000,979.0,,,,,,,,,,,,,,,,,,, +117,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-08-31 09:32:54.000000,2023-08-30 15:46:40,32059.0,98.0,1991,389.0,6599.0,2708.0,6394.0,6460,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",245.0,35,True,,,146.0,h2o,,,,,92.0,11.0,https://pypi.org/project/h2o,335999.0,335999.0,,,,,,,,2.0,,2023-08-22 18:34:10.000,81.0,,,,,,,,,,,,,,,,,,, +118,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-08-22 17:24:09.000000,2023-08-22 17:24:09,1734.0,47.0,739,126.0,257.0,417.0,322.0,6416,Uniform Manifold Approximation and Projection.,122.0,35,True,2022-04-13 21:20:36.000,0.5.3,37.0,umap-learn,conda-forge/umap-learn,,,,10701.0,10221.0,https://pypi.org/project/umap-learn,825899.0,859270.0,https://anaconda.org/conda-forge/umap-learn,2023-06-16 16:09:19.013,2135799.0,,,,,2.0,,2022-04-13 21:20:36.000,480.0,,,,,,,,,,,,,,,,,,, +119,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-08-31 09:27:29.000000,2023-08-29 13:18:14,2814.0,46.0,2059,174.0,1065.0,14.0,1383.0,6228,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,189.0,35,True,2023-06-22 11:33:50.000,3.3.0,44.0,OpenNMT-py,,,,['pytorch'],217.0,217.0,https://pypi.org/project/OpenNMT-py,3636.0,3636.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +120,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-08-31 01:01:37.000000,2023-08-30 13:21:40,2614.0,153.0,623,69.0,3025.0,196.0,760.0,5558,Build Production-Grade AI Applications.,173.0,35,True,2023-08-30 01:17:17.000,1.1.4,113.0,bentoml,,,,,1250.0,1239.0,https://pypi.org/project/bentoml,105666.0,105706.0,,,,,,,,2.0,2109.0,2023-08-29 13:43:01.000,11.0,,,,,,,,,,,,,,,,,,, +121,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-07-28 00:22:03.000000,2023-07-28 00:16:45,2332.0,76.0,1068,191.0,226.0,271.0,275.0,5253,Distributed Evolutionary Algorithms in Python.,87.0,35,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4230.0,3865.0,https://pypi.org/project/deap,189086.0,198613.0,https://anaconda.org/conda-forge/deap,2023-07-21 14:58:59.700,323936.0,,,,,2.0,,2023-07-21 10:51:54.000,365.0,,,,,,,,,,,,,,,,,,, +122,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-08-31 14:13:08.000000,2023-08-30 23:35:48,17964.0,703.0,403,51.0,2156.0,505.0,871.0,4085,"Visualize, create, and debug image and video datasets and model predictions.",92.0,35,True,2023-08-08 16:28:35.000,0.21.6,127.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",396.0,388.0,https://pypi.org/project/fiftyone,67487.0,67487.0,,,,,,,,2.0,,2023-08-08 15:23:07.000,8.0,,,,,,,,,,,,,,,,,,, +123,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-08-25 22:34:08.000000,2023-08-25 22:34:08,1279.0,11.0,2431,1993.0,524.0,374.0,1071.0,3777,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,35,True,2023-08-23 02:38:47.000,1.53.0,100.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,1368517.0,1368525.0,,,,,,,,2.0,503.0,2023-08-23 02:38:47.000,48.0,,,,,,,,,,,,,,,,,,, +124,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-08-23 19:57:43.000000,2023-08-08 07:57:53,1994.0,27.0,203,69.0,128.0,80.0,502.0,3545,A Grammar of Graphics for Python.,103.0,35,True,2023-07-21 09:35:29.000,0.12.2,17.0,plotnine,conda-forge/plotnine,,,,5924.0,5675.0,https://pypi.org/project/plotnine,1516547.0,1524334.0,https://anaconda.org/conda-forge/plotnine,2023-07-31 20:56:37.934,295943.0,,,,,2.0,,2023-07-21 09:28:59.000,249.0,,,,,,,,,,,,,,,,,,, +125,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-08-29 17:05:43.000000,2023-08-28 09:19:10,8313.0,80.0,666,99.0,12974.0,39.0,771.0,3400,State of the Art Natural Language Processing.,108.0,35,True,2023-08-28 15:04:14.000,5.1.0,129.0,spark-nlp,,,,['spark'],366.0,337.0,https://pypi.org/project/spark-nlp,2404610.0,2404610.0,,,,,,,,1.0,,2023-08-26 08:35:22.000,29.0,,,,,,,,,,,,,,,,,,, +126,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-08-31 12:17:42.000000,2023-08-28 20:40:36,10583.0,77.0,377,62.0,2791.0,1019.0,2074.0,2487,"With Holoviews, your data visualizes itself.",136.0,35,True,2023-08-17 07:08:33.000,1.17.1,137.0,holoviews,conda-forge/holoviews,,,['jupyter'],250.0,,https://pypi.org/project/holoviews,320030.0,356680.0,https://anaconda.org/conda-forge/holoviews,2023-08-17 07:12:54.422,1363371.0,,,,,2.0,,2023-08-16 18:40:53.000,248.0,4.0,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2023-08-16 17:21:06.628,2.0,772.0,,,,,,,,,,,,, +127,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-08-31 11:34:20.000000,2023-08-30 22:10:48,2225.0,128.0,599,76.0,2748.0,193.0,680.0,2190,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",215.0,35,True,2023-05-08 20:03:52.000,2.0.2,27.0,torchaudio,,,,['pytorch'],402.0,,https://pypi.org/project/torchaudio,1223221.0,1223221.0,,,,,,,,1.0,,2023-05-08 18:00:01.264,402.0,,,,,,,,,,,,,,,,,,, +128,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-08-31 09:35:39.000000,2023-08-11 10:02:34,4804.0,76.0,463,21.0,1059.0,852.0,562.0,1901,"This is the development home of the workflow management system Snakemake. For general information, see.",307.0,35,True,2023-08-09 08:21:02.000,7.32.3,283.0,snakemake,bioconda/snakemake,,,,1879.0,1632.0,https://pypi.org/project/snakemake,100234.0,109198.0,https://anaconda.org/bioconda/snakemake,2023-08-10 01:02:22.462,842707.0,,,,,2.0,,2023-08-09 08:21:02.000,247.0,,,,,,,,,,,,,,,,,,, +129,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-07-12 13:46:56.000000,2023-07-12 13:46:52,1510.0,7.0,590,58.0,1870.0,251.0,892.0,1661,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,204.0,35,True,2023-07-12 00:08:03.536,0.21.0,36.0,tensorflow-addons,,,,['tensorflow'],13142.0,12928.0,https://pypi.org/project/tensorflow-addons,840666.0,840666.0,,,,,,,,1.0,,2023-07-12 00:08:03.536,214.0,,,,,,,,,,,,,,,,,,, +130,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-08-31 14:51:53.000000,2023-08-31 14:51:52,1444.0,149.0,321,28.0,1166.0,44.0,633.0,1616,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",209.0,35,True,2023-08-29 06:57:25.000,1.1.1,37.0,metrics,conda-forge/torchmetrics,,,['pytorch'],14578.0,14565.0,https://pypi.org/project/metrics,5567.0,41474.0,https://anaconda.org/conda-forge/torchmetrics,2023-08-29 13:18:34.810,1037743.0,,,,,2.0,3578.0,2018-04-28 10:58:56.000,13.0,,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,, +131,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-07-22 10:06:58.000000,2023-07-22 10:06:51,1199.0,15.0,198,33.0,41.0,9.0,153.0,1439,Simple Python interface for Graphviz.,19.0,35,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,55691.0,52362.0,https://pypi.org/project/graphviz,8421423.0,8421943.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,39582.0,,,,,2.0,,2022-07-23 11:35:06.076,3329.0,,,,,,,,,,,,,,,,,,, +132,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-07-30 06:42:19.000000,2023-07-18 22:29:35,1506.0,16.0,341,49.0,1447.0,167.0,653.0,1431,Exploratory analysis of Bayesian models with Python.,147.0,35,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,4796.0,4657.0,https://pypi.org/project/arviz,1417277.0,1466823.0,https://anaconda.org/conda-forge/arviz,2023-07-19 16:40:50.313,1932253.0,,,,,1.0,133.0,2023-07-18 20:14:08.000,139.0,,,,,,,,,,,,,,,,,,, +133,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-08-30 21:55:41.000000,2023-08-28 19:37:03,853.0,20.0,293,45.0,984.0,63.0,158.0,1135,Making text a first-class citizen in TensorFlow.,110.0,35,True,2023-07-06 20:43:53.000,2.13.0,50.0,tensorflow-text,,,,['tensorflow'],5734.0,5734.0,https://pypi.org/project/tensorflow-text,3428722.0,3428722.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +134,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-08-31 08:42:59.000000,2023-08-31 08:42:59,10007.0,145.0,526,72.0,2100.0,296.0,1575.0,1034,Machine learning for NeuroImaging in Python.,224.0,35,True,2023-04-28 09:19:30.000,0.10.1,44.0,nilearn,conda-forge/nilearn,,,['sklearn'],2783.0,2506.0,https://pypi.org/project/nilearn,27587.0,30362.0,https://anaconda.org/conda-forge/nilearn,2023-06-16 13:17:38.098,241052.0,,,,,2.0,136.0,2023-04-28 09:18:01.445,277.0,,,,,,,,,,,,,,,,,,, +135,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-08-25 13:40:10.000000,2023-08-25 13:40:09,14773.0,52.0,506,50.0,2262.0,392.0,946.0,699,Workflows and interfaces for neuroimaging packages.,251.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3407.0,3234.0,https://pypi.org/project/nipype,68840.0,75674.0,https://anaconda.org/conda-forge/nipype,2023-06-16 13:24:57.429,580956.0,,,,,2.0,,2017-05-21 03:34:02.000,173.0,,,,,,,,,,,,,,,,,,, +136,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-08-30 12:41:29.000000,2023-08-25 22:10:24,1485.0,15.0,6709,377.0,630.0,363.0,3009.0,26086,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",256.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1347.0,1341.0,https://pypi.org/project/detectron2,,5392.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,199532.0,,,,,2.0,,2020-02-06 00:35:57.000,6.0,,,,,,,,,,,,,,,,,,, +137,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-08-31 02:30:18.000000,2023-08-31 02:30:13,7118.0,296.0,2539,291.0,168.0,28.0,947.0,23872,"Visualizer for neural network, deep learning, and machine learning models.",2.0,34,True,2023-08-25 13:15:32.000,7.1.5,592.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,16702.0,138440.0,,,,,,,,1.0,121738.0,2023-08-25 13:15:32.000,73.0,,,,,,,,,,,,,,,,,,, +138,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-08-31 05:13:28.000000,2023-07-05 17:40:19,8478.0,65.0,2812,264.0,1185.0,169.0,621.0,16240,Best Practices on Recommendation Systems.,126.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,82.0,80.0,https://pypi.org/project/recommenders,50612.0,50619.0,,,,,,,,1.0,426.0,2022-04-01 08:49:49.000,2.0,,,,,,,,recommenders-team/recommenders,,,,,,,,,,, +139,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-08-31 08:07:31.000000,2023-08-28 09:20:45,4397.0,105.0,1887,184.0,548.0,35.0,650.0,14508,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",139.0,34,True,2023-08-26 10:34:08.000,0.16.5,69.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",16.0,,https://pypi.org/project/tts,36264.0,80849.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9506.0,,,,,2.0,1280439.0,2023-08-26 10:34:08.000,16.0,,,,,,,,,,,,,,,,,,, +140,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-08-31 05:18:13.000000,2023-08-14 19:39:56,4348.0,19.0,2060,290.0,3393.0,54.0,1494.0,10267,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,213.0,34,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],215.0,210.0,https://pypi.org/project/parlai,1006.0,1006.0,,,,,,,,2.0,,2022-09-20 02:56:01.305,5.0,,,,,,,,,,,,,,,,,,, +141,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-08-12 16:52:34.000000,2023-05-18 17:21:01,563.0,,2299,221.0,231.0,107.0,409.0,9606,A little word cloud generator in Python.,68.0,34,True,2023-05-18 18:12:02.829,1.9.2,19.0,wordcloud,conda-forge/wordcloud,,,,816.0,11.0,https://pypi.org/project/wordcloud,1229560.0,1241193.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,430438.0,,,,,2.0,,2023-05-18 18:12:02.829,805.0,,,,,,,,,,,,,,,,,,, +142,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,875,266.0,148.0,82.0,103.0,8948,Fuzzy String Matching in Python.,70.0,34,False,2020-02-13 22:14:12.000,0.18.0,23.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,20127.0,20127.0,https://pypi.org/project/fuzzywuzzy,5074161.0,5080076.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,502848.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +143,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2023-08-29 17:10:43.000000,2023-07-20 17:28:39,10386.0,10.0,1863,349.0,3379.0,125.0,1126.0,8274,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,329.0,34,True,2023-07-19 14:18:35.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,,,https://pypi.org/project/vowpalwabbit,124153.0,127970.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-08-17 14:28:24.942,129786.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +144,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-08-21 20:34:31.000000,2023-08-21 20:34:30,632.0,32.0,312,67.0,95.0,30.0,120.0,7166,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",23.0,34,True,2023-04-19 04:15:07.188,0.6.1,13.0,einops,conda-forge/einops,,,,16674.0,16056.0,https://pypi.org/project/einops,4466723.0,4469627.0,https://anaconda.org/conda-forge/einops,2023-06-16 16:16:58.561,136524.0,,,,,2.0,,2023-08-14 05:42:12.000,618.0,,,,,,,,,,,,,,,,,,, +145,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-08-23 20:04:50.000000,2023-08-23 16:30:25,1302.0,21.0,843,157.0,1634.0,166.0,796.0,6764,An open source python library for automated feature engineering.,70.0,34,True,2023-07-24 15:40:37.000,1.27.0,102.0,featuretools,conda-forge/featuretools,,,,1482.0,1408.0,https://pypi.org/project/featuretools,79486.0,83774.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,162980.0,,,,,1.0,,2023-07-24 15:40:37.000,74.0,,,,,,,,,,,,,,,,,,, +146,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1324,292.0,6588.0,12.0,2030.0,5822,A flexible framework of neural networks for deep learning.,326.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,100.0,chainer,conda-forge/chainer,,,,3084.0,3084.0,https://pypi.org/project/chainer,16906.0,17274.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +147,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-08-30 17:18:44.000000,2023-08-30 17:18:43,1629.0,3.0,821,117.0,514.0,133.0,335.0,4500,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,100.0,34,True,2023-04-02 19:01:01.792,0.22.0,50.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],10460.0,10286.0,https://pypi.org/project/mlxtend,591555.0,595467.0,https://anaconda.org/conda-forge/mlxtend,2023-06-16 13:24:16.113,285646.0,,,,,1.0,,2022-05-27 02:03:51.000,174.0,,,,,,,,,,,,,,,,,,, +148,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-08-17 14:09:15.000000,2023-08-09 10:34:37,927.0,16.0,737,85.0,185.0,76.0,626.0,3687,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",47.0,34,True,2023-08-09 11:17:17.000,76,70.0,opencv-python,,,,,11019.0,,https://pypi.org/project/opencv-python,10102515.0,10102515.0,,,,,,,,2.0,,2023-08-09 12:42:24.000,11019.0,6.0,,,,,,,,,,,,,,,,,, +149,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-08-09 12:05:47.000000,2023-08-09 12:05:45,1163.0,20.0,1715,148.0,209.0,2.0,676.0,3391,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2023-07-13 14:35:04.000,0.14.0,17.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],329.0,,https://pypi.org/project/tensorflow-hub,2183345.0,2185784.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,87817.0,,,,,2.0,,2023-07-13 13:55:03.605,329.0,,,,,,,,,,,,,,,,,,, +150,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-08-25 09:24:26.000000,2023-08-25 09:24:26,7266.0,42.0,606,118.0,1130.0,323.0,1095.0,3104,High-performance interactive 2D/3D data visualization library.,187.0,34,True,2023-05-17 15:53:12.000,0.13.0,35.0,vispy,conda-forge/vispy,,,['jupyter'],1358.0,1227.0,https://pypi.org/project/vispy,78136.0,84190.0,https://anaconda.org/conda-forge/vispy,2023-06-16 13:22:11.969,422993.0,,,,,2.0,,2023-05-12 18:50:01.292,130.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,1.0,12.0,,,,,,,,,,,,, +151,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-08-31 14:50:56.000000,2023-08-31 14:50:53,2444.0,438.0,227,22.0,2150.0,226.0,1183.0,2446,Argilla: the open-source data curation platform for LLMs.,62.0,34,True,2023-08-31 11:50:24.000,1.15.0,95.0,rubrix,conda-forge/rubrix,,,,1642.0,1642.0,https://pypi.org/project/rubrix,327.0,1621.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,25892.0,,,,,2.0,,2022-10-24 18:22:00.951,,,,,,,,,argilla-io/argilla,,,,,,,,,,, +152,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-08-30 19:15:17.000000,2023-08-30 19:11:25,2521.0,110.0,270,67.0,1231.0,50.0,542.0,2119,Adaptive Experimentation Platform.,151.0,34,True,2023-08-11 14:57:03.000,0.3.4,37.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],556.0,531.0,https://pypi.org/project/ax-platform,152974.0,153454.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,12500.0,,,,,1.0,,2023-08-11 14:57:03.000,25.0,,,,,,,,,,,,,,,,,,, +153,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-08-31 14:22:08.000000,2023-08-30 16:04:59,3738.0,172.0,355,31.0,2508.0,354.0,919.0,1929,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,130.0,34,True,2023-07-21 15:58:15.000,0.41.1,80.0,pyvista,conda-forge/pyvista,,,['jupyter'],2354.0,2156.0,https://pypi.org/project/pyvista,120482.0,130690.0,https://anaconda.org/conda-forge/pyvista,2023-07-21 18:56:11.170,387490.0,,,,,2.0,775.0,2023-07-21 15:58:15.000,198.0,,,,,,,,,,,,,,,,,,, +154,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-08-30 13:46:12.000000,2023-08-30 13:46:08,1826.0,8.0,195,28.0,206.0,22.0,382.0,1310,The ctypes-based simple ImageMagick binding for Python.,103.0,34,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,17668.0,16957.0,https://pypi.org/project/wand,707828.0,708819.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,28650.0,,,,,2.0,22570.0,2023-01-05 13:11:36.729,711.0,,,,,,,,,,,,,,,,,,, +155,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-08-29 02:28:00.000000,2023-08-25 15:38:48,2871.0,94.0,348,57.0,1075.0,326.0,891.0,1260,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4070.0,3671.0,https://pypi.org/project/cartopy,94261.0,174791.0,https://anaconda.org/conda-forge/cartopy,2023-08-09 21:12:28.547,3140678.0,,,,,2.0,,2023-08-05 00:57:41.000,399.0,,,,,,,,,,,,,,,,,,, +156,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-08-31 00:12:30.000000,2023-08-30 12:59:02,1047.0,66.0,265,56.0,984.0,129.0,436.0,1119,All the open source things related to the Hugging Face Hub.,104.0,34,True,2023-07-07 14:38:55.000,0.16.4,76.0,huggingface_hub,conda-forge/huggingface_hub,,,,381.0,,https://pypi.org/project/huggingface_hub,15364959.0,15408375.0,https://anaconda.org/conda-forge/huggingface_hub,2023-07-15 10:26:02.115,1302503.0,,,,,2.0,,2023-07-07 14:35:04.525,381.0,,,,,,,,,,,,,,,,,,, +157,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-08-31 11:49:13.000000,2023-08-30 14:32:05,1397.0,70.0,164,32.0,1189.0,51.0,158.0,1021,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],7609.0,7592.0,https://pypi.org/project/scikit-learn-intelex,174160.0,181375.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,202044.0,,,,,1.0,,2023-07-21 11:46:24.000,17.0,,,,,,,,,,,,,,,,,,, +158,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-08-31 12:28:43.000000,2023-08-31 10:11:49,33976.0,584.0,11940,944.0,23329.0,,,21858,Apache Flink Python API.,1767.0,33,True,,,,apache-flink,,,,,11.0,11.0,https://pypi.org/project/apache-flink,52318.0,52318.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +159,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-08-29 14:22:33.000000,2023-07-04 12:44:09,600.0,2.0,2735,295.0,228.0,294.0,577.0,19309,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",122.0,33,True,2023-05-26 07:25:01.375,1.7.0,31.0,easyocr,,,,,3631.0,3562.0,https://pypi.org/project/easyocr,119776.0,278847.0,,,,,,,,1.0,6044733.0,2022-09-20 02:27:55.579,69.0,,,,,,,,,,,,,,,,,,, +160,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-08-31 14:14:32.000000,2023-08-31 12:40:08,13843.0,1649.0,2227,376.0,3706.0,535.0,2622.0,17734,MindsDB connects AI models to databases.,748.0,33,False,2023-08-20 13:31:05.000,23.8.3.0,100.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,7930.0,7930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +161,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627,1004.0,1868.0,357.0,658.0,16433,"Zipline, a Pythonic Algorithmic Trading Library.",159.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1037.0,952.0,https://pypi.org/project/zipline,2788.0,2996.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7293.0,,,,,1.0,,2020-10-05 15:46:20.429,85.0,,,,,,,,,,,,,,,,,,, +162,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3293,463.0,671.0,589.0,672.0,14016,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1494.0,1404.0,https://pypi.org/project/tensor2tensor,3999.0,3999.0,,,,,,,,2.0,,2017-06-21 01:15:55.000,90.0,,,,,,,,,,,,,,,,,,, +163,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-08-01 18:30:38.000000,2021-07-29 23:17:25,531.0,,1760,264.0,113.0,96.0,535.0,10806,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,4403.0,4238.0,https://pypi.org/project/lime,284872.0,287123.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,180145.0,,,,,1.0,,2020-06-26 21:38:15.000,165.0,,,,,,,,,,,,,,,,,,, +164,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-08-28 11:48:35.000000,2023-06-06 09:08:21,5835.0,2.0,2949,236.0,1381.0,813.0,3784.0,9578,Open-source simulator for autonomous driving research.,153.0,33,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,531.0,527.0,https://pypi.org/project/carla,13460.0,13460.0,,,,,,,,2.0,,2022-12-24 18:31:33.838,4.0,,,,,,,,,,,,,,,,,,, +165,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-08-15 22:49:07.495000,2023-08-15 18:20:37,2422.0,4.0,1542,290.0,423.0,281.0,624.0,9201,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2361.0,2300.0,https://pypi.org/project/tpot,35296.0,41373.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,230957.0,,,,,1.0,,2023-08-15 18:22:07.000,61.0,,,,,,,,,,,,,,,,,,, +166,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,964,133.0,217.0,320.0,266.0,7591,Manipulate audio with a simple and easy high level interface.,95.0,33,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,38209.0,37067.0,https://pypi.org/project/pydub,3243144.0,3244260.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,62524.0,,,,,2.0,,2021-03-10 02:09:53.000,1142.0,,,,,,,,,,,,,,,,,,, +167,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-08-31 11:35:35.000000,2023-08-18 01:59:56,2842.0,12.0,1542,87.0,1593.0,314.0,1565.0,7510,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",115.0,33,True,2023-04-11 13:37:00.617,2.8.0,18.0,paddleseg,,,,['paddle'],1000.0,996.0,https://pypi.org/project/paddleseg,2098.0,2098.0,,,,,,,,2.0,,2022-11-30 11:24:02.578,4.0,,,,,,,,,,,,,,,,,,, +168,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-08-20 22:12:31.000000,2023-03-13 12:21:37,454.0,,2276,283.0,130.0,297.0,307.0,7474,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,33,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,803.0,11.0,https://pypi.org/project/SpeechRecognition,448458.0,450503.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,171801.0,,,,,2.0,,2022-12-04 12:47:02.703,792.0,,,,,,,,,,,,,,,,,,, +169,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-07-19 11:57:07.000000,2023-07-16 10:19:01,1688.0,8.0,1275,146.0,200.0,183.0,143.0,7351,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,33,True,2023-06-25 06:09:29.000,1.1.0,88.0,pyod,conda-forge/pyod,,,,2767.0,2716.0,https://pypi.org/project/pyod,593270.0,595308.0,https://anaconda.org/conda-forge/pyod,2023-06-26 04:46:35.290,79483.0,,,,,2.0,,2023-06-25 06:02:01.357,51.0,,,,,,,,,,,,,,,,,,, +170,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-08-20 09:11:52.000000,2023-08-08 19:21:45,1213.0,8.0,1022,127.0,267.0,349.0,315.0,6838,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12131.0,11640.0,https://pypi.org/project/hyperopt,1873830.0,1886064.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,721829.0,,,,,1.0,,2021-11-17 10:07:00.808,491.0,,,,,,,,,,,,,,,,,,, +171,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-08-30 18:32:58.000000,2023-08-15 17:52:04,3248.0,9.0,897,139.0,618.0,46.0,1076.0,6160,Python library for audio and music analysis.,115.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1426.0,,https://pypi.org/project/librosa,2297064.0,2315558.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,684281.0,,,,,2.0,,2023-08-16 13:52:19.000,1426.0,,,,,,,,,,,,,,,,,,, +172,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-08-28 18:16:22.000000,2023-08-28 18:16:10,2745.0,205.0,684,140.0,84.0,64.0,320.0,5667,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,45.0,interpret,,,,['jupyter'],533.0,505.0,https://pypi.org/project/interpret,57456.0,57456.0,,,,,,,,1.0,,2023-08-26 19:56:29.000,28.0,,,,,,,,,,,,,,,,,,, +173,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-08-27 11:07:46.000000,2023-07-25 15:00:08,1165.0,39.0,626,66.0,123.0,50.0,421.0,5413,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,33,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],888.0,869.0,https://pypi.org/project/pytorch-metric-learning,258476.0,258724.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10685.0,,,,,1.0,,2023-07-25 14:56:04.000,19.0,,,,,,,,,,,,,,,,,,, +174,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-08-30 16:09:18.000000,2023-08-30 16:09:14,555.0,25.0,651,109.0,164.0,25.0,333.0,5039,Python-tesseract is an optical character recognition (OCR) tool for python.,43.0,33,True,2023-08-25 20:27:28.000,0.3.11,27.0,pytesseract,conda-forge/pytesseract,,,,1088.0,,https://pypi.org/project/pytesseract,1105781.0,1121432.0,https://anaconda.org/conda-forge/pytesseract,2023-08-26 15:26:05.002,579116.0,,,,,1.0,,2022-08-16 19:20:38.334,1088.0,,,,,,,,,,,,,,,,,,, +175,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-08-30 21:16:09.000000,2023-08-30 21:10:38,2187.0,67.0,603,88.0,229.0,370.0,498.0,4675,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",84.0,33,True,2023-08-11 22:51:29.000,1.12.2,136.0,clearml,,allegroai/trains,,,707.0,694.0,https://pypi.org/project/clearml,230601.0,231233.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30180.0,2.0,1485.0,2023-08-11 22:51:29.000,13.0,,,,,,,,,,,,,,,,,,, +176,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-08-31 14:07:16.000000,2023-08-30 16:54:59,2396.0,108.0,253,46.0,2030.0,297.0,637.0,4163,"Aim An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing).",65.0,33,True,2023-06-02 08:59:51.000,3.17.5,731.0,aim,conda-forge/aim,,,,314.0,301.0,https://pypi.org/project/aim,131915.0,133409.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,37369.0,,,,,2.0,,2023-08-30 20:14:09.000,13.0,,,,,,,,,,,,,,,,,,, +177,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2023-08-31 13:09:40.000000,2023-08-20 21:54:19,11656.0,147.0,1043,97.0,1231.0,123.0,723.0,3920,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",132.0,33,True,2023-08-20 22:36:39.000,1.15.1,54.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,416.0,408.0,https://pypi.org/project/adversarial-robustness-toolbox,36393.0,37234.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-08-21 01:02:57.756,31122.0,,,,,1.0,,2023-08-20 22:22:42.000,8.0,,,,,,,,,,,,,,,,,,, +178,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-08-31 12:06:51.000000,2023-08-18 20:34:49,1071.0,31.0,548,117.0,753.0,238.0,981.0,3592,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",155.0,33,True,2023-04-03 16:30:55.879,6.3.0,44.0,coremltools,conda-forge/coremltools,,,,3464.0,3302.0,https://pypi.org/project/coremltools,157096.0,158709.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,51267.0,,,,,2.0,7589.0,2023-08-15 16:50:49.000,162.0,,,,,,,,,,,,,,,,,,, +179,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-08-17 12:55:00.403000,2023-08-17 08:45:48,1464.0,37.0,363,94.0,706.0,133.0,432.0,3051,Quickly and accurately render even the largest data.,53.0,33,True,2023-08-17 10:44:40.000,0.15.2,40.0,datashader,conda-forge/datashader,,,,2931.0,2813.0,https://pypi.org/project/datashader,78689.0,95479.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,654841.0,,,,,2.0,,2023-08-17 10:29:09.000,118.0,,,,,,,,,,,,,,,,,,, +180,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-08-31 13:12:08.000000,2023-08-29 14:10:26,1652.0,106.0,329,52.0,1383.0,71.0,370.0,2717,Bayesian optimization in PyTorch.,101.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],685.0,654.0,https://pypi.org/project/botorch,205249.0,207520.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,81789.0,,,,,1.0,,2023-08-11 00:20:30.000,31.0,,,,,,,,,,,,,,,,,,, +181,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2023-07-23 16:37:56.000000,2021-10-12 13:32:38,1570.0,,502,64.0,530.0,303.0,391.0,2647,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,4944.0,4687.0,https://pypi.org/project/scikit-optimize,558650.0,567765.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,665404.0,,,,,1.0,,2021-10-12 14:23:01.204,257.0,,,,,,,,,,,,,,,,,,, +182,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-08-25 19:56:36.000000,2023-08-25 19:55:59,2232.0,13.0,688,82.0,196.0,184.0,458.0,2572,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",140.0,33,True,2023-07-10 22:27:02.271,0.17.0,46.0,tf-agents,,,,['tensorflow'],1265.0,1261.0,https://pypi.org/project/tf-agents,196172.0,196172.0,,,,,,,,1.0,,2019-01-17 17:24:54.000,4.0,,,,,,,,,,,,,,,,,,, +183,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2023-08-25 11:53:13.000000,2023-08-21 13:22:42,1616.0,14.0,317,59.0,166.0,119.0,191.0,2572,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],984.0,939.0,https://pypi.org/project/tslearn,265739.0,296751.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1178480.0,,,,,1.0,,2023-08-21 13:31:48.000,45.0,,,,,,,,,,,,,,,,,,, +184,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-08-24 10:24:17.396000,2023-08-21 14:59:32,990.0,25.0,460,55.0,130.0,330.0,163.0,2517,A high performance implementation of HDBSCAN clustering.,84.0,33,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2749.0,2541.0,https://pypi.org/project/hdbscan,516444.0,565755.0,https://anaconda.org/conda-forge/hdbscan,2023-08-24 10:24:17.396,1676582.0,,,,,2.0,,2023-07-18 17:54:02.116,208.0,,,,,,,,,,,,,,,,,,, +185,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-07-21 00:20:21.000000,2023-07-21 00:20:21,2255.0,14.0,551,70.0,474.0,257.0,671.0,2165,Survival analysis in Python.,111.0,33,True,2023-05-01 16:16:01.635,0.27.7,168.0,lifelines,conda-forge/lifelines,,,,1913.0,1793.0,https://pypi.org/project/lifelines,340320.0,343624.0,https://anaconda.org/conda-forge/lifelines,2023-06-16 13:24:15.529,284214.0,,,,,2.0,,2023-05-01 16:16:01.635,120.0,,,,,,,,,,,,,,,,,,, +186,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2023-08-31 08:03:22.000000,2023-08-31 08:03:22,3657.0,21.0,189,52.0,1330.0,125.0,702.0,1920,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-05-02 20:06:11.980,0.12.2,57.0,pythran,conda-forge/pythran,,,,1151.0,1129.0,https://pypi.org/project/pythran,149443.0,160981.0,https://anaconda.org/conda-forge/pythran,2023-06-25 19:04:18.173,403831.0,,,,,2.0,,2023-05-02 20:06:11.980,22.0,,,,,,,,,,,,,,,,,pythran,python-pythran, +187,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-08-31 14:38:27.000000,2023-08-31 14:22:33,3563.0,205.0,485,54.0,3556.0,307.0,779.0,1875,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,143.0,33,True,2023-08-28 18:06:33.000,0.32.0,49.0,pennylane,conda-forge/pennylane,,,,662.0,604.0,https://pypi.org/project/pennylane,39578.0,40634.0,https://anaconda.org/conda-forge/pennylane,2023-08-29 16:02:32.885,22167.0,,,,,2.0,70.0,2023-08-28 18:06:33.000,58.0,,,,,,,,,,,,,,,,,,, +188,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-08-12 00:27:16.000000,2023-06-02 07:03:26,1146.0,,348,63.0,567.0,249.0,340.0,1396,A Jupyter - Leaflet.js bridge.,83.0,33,True,2023-06-02 07:27:55.785,0.17.3,77.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5251.0,5088.0,https://pypi.org/project/ipyleaflet,158519.0,214302.0,https://anaconda.org/conda-forge/ipyleaflet,2023-06-05 07:39:09.482,1058777.0,,,,,2.0,,2023-06-02 07:10:00.534,158.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-06-02 07:27:55.785,5.0,43614.0,,,,,,,,,,,,, +189,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-08-20 16:39:00.000000,2023-08-20 16:38:57,2649.0,71.0,244,34.0,184.0,43.0,466.0,1149,Python interface for igraph.,71.0,33,False,2023-07-19 15:43:15.000,0.10.6,36.0,python-igraph,conda-forge/igraph,,,,2564.0,2157.0,https://pypi.org/project/python-igraph,251965.0,271507.0,https://anaconda.org/conda-forge/igraph,2023-07-15 16:20:54.682,450735.0,,,,,1.0,561804.0,2023-07-19 15:43:15.000,407.0,,,,,,,,,,,,,,,,,,, +190,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-08-17 22:07:35.000000,2023-08-17 22:07:05,1445.0,6.0,202,48.0,505.0,38.0,719.0,1068,Fiona reads and writes geographic data files.,69.0,33,True,2023-05-23 23:23:16.000,1.9.4.post1,111.0,fiona,conda-forge/fiona,,,,15207.0,14336.0,https://pypi.org/project/fiona,5766559.0,5821099.0,https://anaconda.org/conda-forge/fiona,2023-06-16 13:17:11.785,4854102.0,,,,,2.0,,2023-05-23 23:16:02.878,871.0,,,,,,,,,,,,,,,,,,, +191,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-08-31 01:31:15.000000,2023-08-31 01:31:14,10958.0,230.0,230,58.0,11384.0,97.0,2062.0,886,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-07-27 23:40:28.000,0.2.120,140.0,hail,,,,['spark'],125.0,110.0,https://pypi.org/project/hail,21296.0,21296.0,,,,,,,,2.0,,2023-07-27 23:40:28.000,15.0,,,,,,,,,,,,,,,,,,, +192,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-08-31 13:56:18.000000,2023-08-30 04:42:35,13115.0,144.0,375,53.0,1889.0,151.0,710.0,612,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",147.0,33,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,963.0,863.0,https://pypi.org/project/dipy,15921.0,20566.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,404134.0,,,,,2.0,,2022-03-11 20:19:02.000,100.0,,,,,,,,,,,,,,,,,,, +193,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-08-29 17:43:02.000000,2023-08-06 23:46:30,5554.0,20.0,248,36.0,759.0,122.0,383.0,575,Python package to access a cacophony of neuro-imaging file formats.,97.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,15158.0,14033.0,https://pypi.org/project/nibabel,263734.0,270914.0,https://anaconda.org/conda-forge/nibabel,2023-06-16 13:17:25.616,624683.0,,,,,2.0,,2023-04-03 15:53:03.644,1125.0,,,,,,,,,,,,,,,,,,, +194,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-08-22 14:22:26.000000,2022-06-10 09:12:18,238.0,,13078,1568.0,220.0,735.0,583.0,49175,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],67.0,11.0,https://pypi.org/project/face_recognition,47244.0,47770.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,17937.0,,,,,2.0,1125.0,2020-02-20 14:26:01.000,56.0,,,,,,,,,,,,,,,,,,, +195,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-08-31 14:09:35.000000,2023-08-30 15:07:21,2681.0,293.0,3657,334.0,3064.0,313.0,1043.0,31831,"Making large AI models cheaper, faster and more accessible.",145.0,32,True,2023-08-01 07:02:44.000,0.3.1,31.0,,,,,,256.0,256.0,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +196,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,,2017-09-01 00:36:51.000,2023-08-28 02:16:39.000000,2023-08-28 02:16:39,2279.0,31.0,4599,485.0,147.0,936.0,1328.0,17739,State-of-the-art 2D and 3D Face Analysis Project.,57.0,32,False,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],777.0,777.0,https://pypi.org/project/insightface,325046.0,421347.0,,,,,,,,2.0,385205.0,,,-4.0,,,,,,,,,,,,,,,,,, +197,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-07-06 21:38:18.000000,2023-03-28 11:49:55,2665.0,,2072,185.0,1000.0,572.0,696.0,12103,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",68.0,32,True,2022-11-28 08:40:34.942,2.3.1,49.0,paddlehub,,,,['paddle'],1370.0,1364.0,https://pypi.org/project/paddlehub,4265.0,4277.0,,,,,,,,2.0,664.0,2021-12-28 02:55:41.000,6.0,,,,,,,,,,,,,,,,,,, +198,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-05-27 00:04:03.000000,2021-11-29 19:55:31,1571.0,,1126,347.0,1682.0,498.0,1294.0,11062,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,378.0,357.0,https://pypi.org/project/turicreate,25458.0,25592.0,,,,,,,,3.0,9151.0,2020-09-30 22:51:40.000,21.0,,,,,,,,,,,,,,,,,,, +199,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-08-22 21:42:02.000000,2023-08-22 08:25:57,3462.0,36.0,754,133.0,147.0,106.0,891.0,9657,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",85.0,32,True,2023-08-12 09:54:02.000,14.4.0,214.0,ocrmypdf,conda-forge/ocrmypdf,,,,608.0,591.0,https://pypi.org/project/ocrmypdf,41548.0,43530.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,54926.0,,,,,2.0,152.0,2023-08-12 09:54:02.000,17.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +200,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-08-07 09:03:21.000000,2023-08-07 09:03:21,1077.0,55.0,1459,106.0,82.0,8.0,745.0,7252,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",43.0,32,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,1817.0,1803.0,https://pypi.org/project/deepface,26949.0,26949.0,,,,,,,,2.0,,2023-01-24 23:15:00.809,14.0,,,,,,,,,,,,,,,,,,, +201,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-08-31 11:28:23.000000,2023-08-29 23:19:14,749.0,41.0,656,269.0,966.0,281.0,311.0,6945,Build and manage real-life data science projects with ease!.,72.0,32,True,2023-08-30 01:24:25.000,2.9.13,93.0,metaflow,conda-forge/metaflow,,,,538.0,516.0,https://pypi.org/project/metaflow,181665.0,185595.0,https://anaconda.org/conda-forge/metaflow,2023-07-19 20:43:51.522,145446.0,,,,,2.0,,2023-08-30 01:24:25.000,22.0,,,,,,,,,,,,,,,,,,, +202,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-08-30 19:18:50.000000,2023-03-14 16:10:05,3603.0,,857,146.0,441.0,94.0,718.0,6758,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",58.0,32,True,2023-03-14 05:10:01.099,1.5.0,18.0,stanza,stanfordnlp/stanza,,,,2154.0,2064.0,https://pypi.org/project/stanza,123681.0,123851.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,6996.0,,,,,2.0,,2023-03-14 05:10:01.099,90.0,,,,,,,,,,,,,,,,,,, +203,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-08-24 05:53:59.000000,2023-08-17 07:21:00,2693.0,13.0,1106,210.0,1030.0,18.0,611.0,6332,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-08-17 07:23:20.000,1.3.0,60.0,deeppavlov,,,,['tensorflow'],357.0,357.0,https://pypi.org/project/deeppavlov,7601.0,7601.0,,,,,,,,2.0,,,,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,, +204,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-08-31 10:58:50.000000,2023-08-30 15:48:13,1071.0,21.0,349,82.0,513.0,49.0,443.0,5282,A scikit-learn compatible neural network library that wraps PyTorch.,60.0,32,True,2023-06-26 15:29:37.000,0.14.0,14.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",937.0,937.0,https://pypi.org/project/skorch,70175.0,92299.0,https://anaconda.org/conda-forge/skorch,2023-08-08 10:23:25.251,774366.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +205,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-06-16 16:07:59.111000,2020-07-15 13:46:58,1184.0,,1594,307.0,292.0,152.0,265.0,5118,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,887.0,853.0,https://pypi.org/project/pyfolio,10424.0,10610.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12283.0,,,,,1.0,,2019-04-15 15:00:21.000,34.0,,,,,,,,,,,,,,,,,,, +206,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-08-30 19:48:35.000000,2023-08-24 00:13:34,28766.0,82.0,1503,182.0,1988.0,31.0,1523.0,4509,"mlpack: a fast, header-only C++ machine learning library.",306.0,32,True,2023-06-16 20:41:00.577,4.2.0,44.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,1712.0,5895.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,158987.0,,,,,3.0,,2022-12-29 16:55:50.798,1.0,,,,,,,,,,,,,,,,,,, +207,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-08-29 12:53:50.000000,2023-08-29 12:04:20,3734.0,86.0,480,82.0,504.0,19.0,433.0,4379,Online machine learning in Python.,103.0,32,True,2023-06-27 09:20:33.000,0.18.0,16.0,river,conda-forge/river,,,,373.0,348.0,https://pypi.org/project/river,16452.0,18173.0,https://anaconda.org/conda-forge/river,2023-06-16 19:25:37.799,48215.0,,,,,2.0,,2023-06-26 21:20:27.105,25.0,,,,,,,,,,,,,,,,,,, +208,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-08-31 09:08:08.000000,2023-08-31 02:49:22,3488.0,71.0,762,57.0,1188.0,303.0,1079.0,3640,"Serve, optimize and scale PyTorch models in production.",173.0,32,True,2023-08-28 23:20:20.000,0.8.2,21.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],11.0,,https://pypi.org/project/torchserve,37625.0,66229.0,https://anaconda.org/pytorch/torchserve,2023-08-28 20:19:36.066,105965.0,https://hub.docker.com/r/pytorch/torchserve,2023-08-28 21:29:54.059478,19.0,1188358.0,2.0,4885.0,2023-08-28 19:29:41.000,11.0,,,,,,,,,,,,,,,,,,, +209,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-08-26 05:25:47.571000,2023-08-25 17:11:59,428.0,15.0,601,81.0,221.0,80.0,393.0,3246,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,32,True,2023-08-25 17:45:41.000,0.7.1,46.0,implicit,conda-forge/implicit,,,,1123.0,1085.0,https://pypi.org/project/implicit,136437.0,151426.0,https://anaconda.org/conda-forge/implicit,2023-08-26 05:25:47.571,523652.0,,,,,1.0,544.0,2023-08-25 17:45:41.000,38.0,,,,,,,,,,,,,,,,,,, +210,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-08-25 19:25:14.000000,2023-08-25 19:24:53,3819.0,20.0,504,56.0,865.0,320.0,952.0,3201,A highly efficient implementation of Gaussian Processes in PyTorch.,124.0,32,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1575.0,1508.0,https://pypi.org/project/gpytorch,234814.0,237845.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,118222.0,,,,,2.0,,2023-06-02 22:13:00.914,67.0,,,,,,,,,,,,,,,,,,, +211,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-08-30 19:08:48.000000,2023-08-30 19:08:47,1355.0,23.0,426,52.0,694.0,49.0,438.0,3112,NeuralProphet: A simple forecasting package.,42.0,32,True,2023-06-14 22:41:07.000,0.6.2,26.0,neuralprophet,,,,['pytorch'],294.0,291.0,https://pypi.org/project/neuralprophet,153584.0,153584.0,,,,,,,,2.0,,2023-08-09 16:12:13.000,3.0,,,,,,,,,,,,,,,,,,, +212,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-08-30 12:13:12.000000,2023-08-23 19:10:26,1192.0,52.0,196,28.0,353.0,98.0,124.0,2871,Lightning fast forecasting with statistical and econometric models.,27.0,32,True,2023-08-23 19:27:53.000,1.6.0,27.0,statsforecast,conda-forge/statsforecast,,,,454.0,433.0,https://pypi.org/project/statsforecast,405834.0,408644.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,47774.0,,,,,2.0,,2023-08-23 19:27:53.000,21.0,,,,,,,,,,,,,,,,,,, +213,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-06-16 13:24:39.196000,2022-08-22 18:21:12,586.0,,557,77.0,72.0,59.0,160.0,2849,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,True,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4021.0,3860.0,https://pypi.org/project/filterpy,2074209.0,2077387.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,235243.0,,,,,2.0,,2018-10-10 22:38:24.000,161.0,,,,,,,,,,,,,,,,,,, +214,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-08-25 02:39:30.000000,2023-08-21 11:35:28,1269.0,39.0,264,54.0,210.0,51.0,396.0,2766,STUMPY is a powerful and scalable Python library for modern time series analysis.,33.0,32,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,532.0,517.0,https://pypi.org/project/stumpy,188530.0,211427.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,870105.0,,,,,2.0,,2023-08-21 11:33:22.000,15.0,,,,,,,,,,,,,,,,,,, +215,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-08-25 11:39:45.000000,2023-08-25 11:39:39,927.0,32.0,216,41.0,488.0,66.0,167.0,2592,JAX-based neural network library.,76.0,32,True,2023-07-14 15:42:12.000,0.0.10,12.0,dm-haiku,conda-forge/dm-haiku,,,,1442.0,1442.0,https://pypi.org/project/dm-haiku,186455.0,186872.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,12536.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +216,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-08-15 19:21:54.750000,2023-08-15 16:10:39,917.0,4.0,388,38.0,140.0,42.0,232.0,2271,A library of sklearn compatible categorical variable encoders.,61.0,32,True,2023-08-15 16:14:16.000,2.6.2,31.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1149.0,999.0,https://pypi.org/project/category_encoders,1229927.0,1240630.0,https://anaconda.org/conda-forge/category_encoders,2023-08-15 19:21:54.750,235467.0,,,,,2.0,,2023-08-15 16:14:16.000,150.0,,,,,,,,,,,,,,,,,,, +217,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-08-16 05:19:45.000000,2023-08-16 05:19:43,522.0,8.0,161,44.0,68.0,7.0,119.0,1887,a python library for doing approximate and phonetic matching of strings.,30.0,32,True,2023-06-23 15:39:02.061,1.0.0,40.0,jellyfish,conda-forge/jellyfish,,,,7167.0,6723.0,https://pypi.org/project/jellyfish,2205703.0,2223241.0,https://anaconda.org/conda-forge/jellyfish,2023-07-02 18:32:29.866,666480.0,,,,,2.0,,2023-06-23 15:39:02.061,444.0,,,,,,,,,,,,,,,,,,, +218,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-06-16 13:21:27.128000,2018-10-12 15:53:05,1251.0,,282,52.0,153.0,104.0,218.0,1545,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8074.0,7552.0,https://pypi.org/project/geocoder,419101.0,420762.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,129564.0,,,,,3.0,,2021-12-15 15:58:16.110,522.0,,,,,,,,,,,,,,,,,,,geocoder +219,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-08-31 14:17:25.000000,2023-08-30 15:05:31,799.0,117.0,250,50.0,890.0,215.0,275.0,1510,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,78.0,32,True,2023-08-23 12:27:48.000,1.12.0,46.0,optimum,conda-forge/optimum,,,,463.0,444.0,https://pypi.org/project/optimum,225684.0,226231.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,8759.0,,,,,1.0,,2023-08-23 12:27:23.000,19.0,,,,,,,,,,,,,,,,,,, +220,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-08-07 13:28:03.000000,2023-07-03 18:08:53,1073.0,1.0,227,35.0,244.0,46.0,268.0,1411,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,32,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,6098.0,6017.0,https://pypi.org/project/pmdarima,1571492.0,1598825.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,929348.0,,,,,2.0,,2023-03-15 20:50:50.683,81.0,,,,,,,,,,,,,,,,,,, +221,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-06-16 13:19:47.023000,2023-06-14 18:09:08,1494.0,9.0,148,41.0,130.0,13.0,634.0,1143,A Python data analysis library that is optimized for humans instead of machines.,51.0,32,True,2023-01-04 20:14:00.948,1.7.1,29.0,agate,conda-forge/agate,,,,2227.0,2084.0,https://pypi.org/project/agate,3696708.0,3698527.0,https://anaconda.org/conda-forge/agate,2023-06-16 13:19:47.023,141912.0,,,,,2.0,,2023-01-04 20:14:00.948,143.0,,,,,,,,,,,,,,,,,,, +222,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-08-28 19:52:29.000000,2023-08-28 19:52:28,3264.0,15.0,242,50.0,343.0,72.0,261.0,985,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-08-15 00:24:07.000,2023.1.2,92.0,pyopencl,conda-forge/pyopencl,,,,1824.0,1624.0,https://pypi.org/project/pyopencl,90901.0,115413.0,https://anaconda.org/conda-forge/pyopencl,2023-08-15 04:21:33.200,931476.0,,,,,2.0,,2023-08-15 00:24:07.000,200.0,,,,,,,,,,,,,,,,,,, +223,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-08-15 22:46:22.000000,2023-08-15 22:46:20,912.0,21.0,214,60.0,98.0,45.0,169.0,969,Input pipeline framework.,27.0,32,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1513.0,1457.0,https://pypi.org/project/tensorflow-transform,741724.0,741724.0,,,,,,,,2.0,,2023-08-11 23:14:04.000,56.0,,,,,,,,,,,,,,,,,,, +224,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-08-31 04:03:28.000000,2023-08-29 21:00:22,157229.0,4279.0,79,52.0,1852.0,94.0,279.0,656,TensorFlow ROCm port.,4457.0,32,True,2022-12-06 16:42:53.965,2.9.4,95.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2698.0,2698.0,,,,,,,,3.0,21.0,2023-07-09 23:23:00.955,5.0,,,,,,,,,,,,,,,,,,, +225,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-08-30 18:40:54.000000,2023-07-13 08:50:20,531.0,1.0,2570,375.0,116.0,213.0,556.0,23332,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],572.0,566.0,https://pypi.org/project/spleeter,15333.0,73611.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78266.0,,,,,2.0,2600824.0,2022-06-10 13:19:35.000,6.0,,,,,,,,,,,,,,,,,,, +226,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-08-31 14:43:28.000000,2023-08-31 14:08:51,2395.0,453.0,1990,253.0,1330.0,47.0,301.0,19082,You like pytorch? You like micrograd? You love tinygrad!.,208.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],26.0,26.0,,,,,,,,,,,1.0,,,,,,,,,,,tinygrad/tinygrad,,,,,,,,,,, +227,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-08-09 22:25:24.000000,2023-07-11 13:03:36,1421.0,1.0,3721,772.0,1131.0,373.0,588.0,18638,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],499.0,461.0,https://pypi.org/project/magenta,2881.0,2881.0,,,,,,,,2.0,,2018-07-31 15:38:15.000,38.0,,,,,,,,,,,,,,,,,,, +228,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-08-25 05:09:17.000000,2023-08-24 13:24:50,1950.0,23.0,2136,263.0,868.0,226.0,557.0,11906,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",119.0,31,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],12.0,11.0,https://pypi.org/project/pyqlib,2143.0,2153.0,,,,,,,,2.0,371.0,2022-06-15 06:55:10.000,1.0,,,,,,,,,,,,,,,,,,, +229,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,2.0,1266,423.0,82.0,30.0,157.0,9603,TensorFlow-based neural network library.,58.0,31,True,2020-03-27 10:36:19.000,2.0.0,13.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1128.0,1128.0,https://pypi.org/project/dm-sonnet,22006.0,22566.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,25210.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +230,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2023-07-26 20:24:00.000000,2020-11-30 04:34:51,613.0,,2316,462.0,256.0,553.0,362.0,9593,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4620.0,4620.0,https://pypi.org/project/tflearn,8173.0,8173.0,,,,,,,,3.0,,,,-2.0,,,,,,,,,,,,,,,,,, +231,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-08-31 04:06:21.000000,2023-08-31 02:03:04,3611.0,89.0,1026,189.0,2569.0,234.0,706.0,9393,"Low-code framework for building custom LLMs, neural networks, and other AI models.",140.0,31,True,2023-08-15 16:26:33.000,0.8.1.post1,37.0,ludwig,,,,['tensorflow'],190.0,190.0,https://pypi.org/project/ludwig,3259.0,3259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +232,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-07-11 22:40:16.000000,2023-06-21 15:51:47,1385.0,1.0,1406,304.0,887.0,129.0,757.0,8907,AutoML library for deep learning.,142.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],561.0,550.0,https://pypi.org/project/autokeras,9689.0,9922.0,,,,,,,,2.0,16140.0,2022-04-30 05:46:13.000,11.0,,,,,,,,,,,,,,,,,,, +233,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-08-03 21:07:07.000000,2023-08-03 21:07:06,544.0,9.0,1155,164.0,421.0,58.0,468.0,7686,Automatic extraction of relevant features from time series:.,89.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],84.0,11.0,https://pypi.org/project/tsfresh,243686.0,274930.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1218549.0,,,,,2.0,,2021-12-21 03:37:03.000,73.0,,,,,,,,,,,,,,,,,,, +234,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-08-26 21:33:43.000000,2023-08-26 20:55:56,1101.0,26.0,1176,141.0,150.0,219.0,1166.0,7610,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,124.0,31,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],573.0,562.0,https://pypi.org/project/pytorch3d,5539.0,8737.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,143925.0,,,,,2.0,,2022-04-28 15:53:26.000,11.0,,,,,,,,,,,,,,,,,,, +235,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-08-29 21:13:33.000000,2023-04-18 11:08:13,2759.0,,1239,215.0,699.0,162.0,825.0,7112,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],522.0,483.0,https://pypi.org/project/auto-sklearn,30672.0,31342.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,18778.0,,,,,2.0,50.0,2022-09-20 10:32:07.471,39.0,,,,,,,,,,,,,,,,,,, +236,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-08-14 19:32:43.000000,2023-07-14 06:46:40,354.0,1.0,1455,133.0,123.0,12.0,306.0,6962,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2153.0,2050.0,https://pypi.org/project/bayesian-optimization,200864.0,200865.0,,,,,,,,2.0,133.0,2023-04-25 22:00:01.831,103.0,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,, +237,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,1.0,1816,201.0,206.0,9.0,1343.0,6281,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,31,True,2019-01-18 19:18:13.000,doc-v0.9.0.1,3.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1347.0,1347.0,https://pypi.org/project/tensorpack,14184.0,14633.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,9840.0,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,,,, +238,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-08-31 14:06:28.000000,2023-08-31 12:58:58,1073.0,53.0,706,55.0,833.0,237.0,918.0,6281,A python library for user-friendly forecasting and anomaly detection on time series.,101.0,31,True,2023-08-05 12:01:10.000,0.25.0,36.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,351.0,347.0,https://pypi.org/project/u8darts,10872.0,12254.0,https://anaconda.org/conda-forge/u8darts-all,2023-08-07 19:08:54.536,34403.0,https://hub.docker.com/r/unit8/darts,2023-08-04 15:26:31.586999,,391.0,2.0,,2023-08-05 12:01:10.000,4.0,,,,,,,,,,,,,,,,,,, +239,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-08-31 04:32:40.000000,2023-08-30 22:29:31,36954.0,301.0,727,139.0,8383.0,903.0,4784.0,5917,cuDF - GPU DataFrame Library.,259.0,31,True,2023-08-09 17:06:59.000,23.08.00,39.0,cudf,,,,,8.0,,https://pypi.org/project/cudf,1660.0,1660.0,,,,,,,,1.0,,2020-06-01 20:07:47.000,8.0,,,,,,,,,,,,,,,,,,, +240,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-08-02 23:56:26.000000,2023-07-17 16:59:29,152.0,5.0,1004,198.0,91.0,122.0,275.0,5503,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,58.0,kaggle,conda-forge/kaggle,,,,383.0,11.0,https://pypi.org/project/kaggle,174711.0,178587.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,135692.0,,,,,2.0,,2023-08-02 23:56:26.000,372.0,,,,,,,,,,,,,,,,,,, +241,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-08-14 12:41:13.000000,2023-05-04 11:45:28,917.0,,634,148.0,788.0,141.0,355.0,4645,Deep Learning Visualization Toolkit.,32.0,31,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2286.0,2246.0,https://pypi.org/project/visualdl,137111.0,137119.0,,,,,,,,2.0,320.0,2023-06-05 07:21:00.910,40.0,,,,,,,,,,,,,,,,,,, +242,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,661,92.0,206.0,137.0,356.0,4409,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,31,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1232.0,1185.0,https://pypi.org/project/lightfm,498415.0,500861.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,163931.0,,,,,2.0,,2020-11-27 19:55:08.000,47.0,,,,,,,,,,,,,,,,,,, +243,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-06-16 16:15:44.326000,2022-01-27 13:24:16,139.0,,1006,153.0,112.0,150.0,79.0,4380,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,37526.0,36695.0,https://pypi.org/project/imutils,348215.0,351119.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,145205.0,,,,,2.0,,2021-01-15 10:53:17.000,831.0,,,,,,,,,,,,,,,,,,, +244,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-08-31 13:04:18.000000,2023-08-23 15:17:59,734.0,35.0,350,73.0,264.0,53.0,475.0,4223,Visualizer for pandas data structures.,30.0,31,True,2023-07-19 16:44:58.000,3.3.0,171.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",857.0,840.0,https://pypi.org/project/dtale,218144.0,224375.0,https://anaconda.org/conda-forge/dtale,2023-07-19 17:10:42.907,243012.0,,,,,2.0,,2023-07-19 16:26:09.000,17.0,,,,,,,,,,,,,,,,,,, +245,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-08-28 21:59:22.000000,2023-08-28 21:25:25,556.0,59.0,691,77.0,290.0,87.0,261.0,4205,Uplift modeling and causal inference with machine learning algorithms.,56.0,31,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,165.0,164.0,https://pypi.org/project/causalml,289267.0,289267.0,,,,,,,,2.0,,2023-08-28 06:52:12.000,1.0,,,,,,,,,,,,,,,,,,, +246,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-08-25 20:39:34.000000,2023-07-08 00:30:37,1017.0,8.0,440,216.0,707.0,175.0,322.0,4132,Model interpretability and understanding for PyTorch.,102.0,31,True,2022-12-28 01:14:50.000,0.6.0,9.0,captum,conda-forge/captum,,,['pytorch'],1439.0,1393.0,https://pypi.org/project/captum,146182.0,146937.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,15105.0,,,,,1.0,,2022-12-27 23:25:01.082,46.0,,,,,,,,,,,,,,,,,,, +247,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-08-31 14:20:06.000000,2023-08-31 14:19:48,1398.0,60.0,709,72.0,1705.0,267.0,609.0,3762,Probabilistic time series modeling in Python.,109.0,31,True,2023-08-25 07:53:54.000,0.13.4,93.0,gluonts,anaconda/gluonts,,,['mxnet'],12.0,,https://pypi.org/project/gluonts,243256.0,243278.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,493.0,,,,,2.0,,2023-08-31 12:53:05.000,12.0,,,,,,,,,,,,,,,,,,, +248,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-08-23 10:35:25.821000,2023-08-22 21:52:11,238.0,3.0,262,45.0,48.0,29.0,87.0,3524,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4045.0,3916.0,https://pypi.org/project/gpustat,1251308.0,1259050.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,255514.0,,,,,1.0,,2023-08-22 19:39:06.000,129.0,,,,,,,,,,,,,,,,,,, +249,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-08-31 07:16:56.000000,2023-08-30 17:10:37,1056.0,18.0,336,62.0,1306.0,131.0,158.0,3504,A Python toolbox for performing gradient-free optimization.,49.0,31,True,2023-07-25 17:51:48.000,0.11.0,41.0,nevergrad,conda-forge/nevergrad,,,,547.0,525.0,https://pypi.org/project/nevergrad,76396.0,77436.0,https://anaconda.org/conda-forge/nevergrad,2023-06-16 19:18:43.339,41604.0,,,,,2.0,,2023-07-25 17:51:48.000,22.0,,,,,,,,,,,,,,,,,,, +250,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-08-04 08:42:57.918000,2023-07-27 13:38:57,3654.0,13.0,474,102.0,1036.0,245.0,367.0,3468,Plotting library for IPython/Jupyter notebooks.,64.0,31,True,2023-08-04 08:42:57.918,0.5.42,109.0,bqplot,conda-forge/bqplot,,,['jupyter'],167.0,46.0,https://pypi.org/project/bqplot,162837.0,198010.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1207541.0,,,,,2.0,,2023-07-17 16:10:40.597,105.0,,bqplot,https://www.npmjs.com/package/bqplot,2023-08-04 08:42:57.918,16.0,4211.0,,,,,,,,,,,,, +251,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-08-26 13:29:41.000000,2023-02-05 22:03:50,437.0,,484,63.0,201.0,171.0,143.0,3406,Header-only C++/python library for fast approximate nearest neighbors.,65.0,31,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,4365.0,4314.0,https://pypi.org/project/hnswlib,813011.0,816353.0,https://anaconda.org/conda-forge/hnswlib,2023-06-28 06:05:30.185,106944.0,,,,,2.0,,2023-02-05 22:20:00.654,51.0,,,,,,,,,,,,,,,,,,, +252,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-08-26 23:50:09.000000,2023-08-26 23:30:34,979.0,10.0,570,101.0,330.0,29.0,707.0,3161,"Fast, flexible and easy to use probabilistic modelling in Python.",71.0,31,True,2023-08-26 23:31:10.000,1.0.3,72.0,pomegranate,conda-forge/pomegranate,,,,1038.0,981.0,https://pypi.org/project/pomegranate,22421.0,25121.0,https://anaconda.org/conda-forge/pomegranate,2023-06-16 16:15:58.517,132320.0,,,,,2.0,,2023-08-26 23:31:10.000,57.0,,,,,,,,,,,,,,,,,,, +253,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-06-16 19:18:40.569000,2022-05-31 03:18:45,1556.0,,425,91.0,121.0,71.0,348.0,3129,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,983.0,926.0,https://pypi.org/project/nmslib,249952.0,252377.0,https://anaconda.org/conda-forge/nmslib,2023-06-16 19:18:40.569,97012.0,,,,,2.0,,2021-02-03 00:02:08.000,57.0,,,,,,,,,,,,,,,,,,, +254,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-08-31 13:49:45.000000,2023-04-18 19:00:21,461.0,,729,120.0,112.0,57.0,365.0,2817,"Hidden Markov Models in Python, with scikit-learn like API.",44.0,31,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2145.0,2008.0,https://pypi.org/project/hmmlearn,195134.0,198498.0,https://anaconda.org/conda-forge/hmmlearn,2023-06-16 16:11:46.167,191761.0,,,,,2.0,,2022-02-10 14:13:50.000,137.0,,,,,,,,,,,,,,,,,,, +255,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-08-05 13:29:17.000000,2023-08-05 13:28:57,327.0,8.0,320,65.0,69.0,9.0,116.0,2816,A Python Perceptual Image Hashing Module.,25.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,10673.0,10303.0,https://pypi.org/project/ImageHash,1296207.0,1300279.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,329908.0,,,,,2.0,,2022-09-28 08:48:24.658,370.0,,,,,,,,,,,,,,,,,,, +256,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-08-28 15:09:43.000000,2023-08-28 15:09:39,1101.0,45.0,357,43.0,61.0,118.0,442.0,2738,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",22.0,31,True,2023-07-07 01:36:10.488,1.0.2,82.0,mljar-supervised,conda-forge/mljar-supervised,,,,85.0,83.0,https://pypi.org/project/mljar-supervised,12671.0,13075.0,https://anaconda.org/conda-forge/mljar-supervised,2023-07-06 16:03:32.383,10521.0,,,,,2.0,,2023-01-02 17:10:49.041,2.0,,,,,,,,,,,,,,,,,,, +257,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-08-28 19:02:47.000000,2023-04-20 03:41:53,699.0,,235,37.0,782.0,67.0,281.0,2547,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],2925.0,2867.0,https://pypi.org/project/fairscale,704635.0,711950.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,153617.0,,,,,2.0,,2022-12-11 18:09:31.906,58.0,,,,,,,,,,,,,,,,,,, +258,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-08-30 15:59:23.000000,2023-08-30 15:59:23,2893.0,18.0,675,79.0,828.0,250.0,607.0,2457,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",119.0,31,True,2023-06-30 15:03:26.000,0.1.23,22.0,pgmpy,,,,,739.0,710.0,https://pypi.org/project/pgmpy,53339.0,53346.0,,,,,,,,2.0,283.0,2022-06-30 09:26:19.000,29.0,,,,,,,,,,,,,,,,,,, +259,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-08-31 08:28:34.000000,2023-08-31 05:43:06,5265.0,164.0,666,91.0,5353.0,93.0,817.0,1989,TFX is an end-to-end platform for deploying production ML pipelines.,176.0,31,True,2023-05-03 20:28:00.880,1.13.0,94.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,44390.0,44390.0,,,,,,,,2.0,,2023-08-30 07:28:18.000,14.0,,,,,,,,,,,,,,,,,,, +260,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-08-31 14:18:11.000000,2023-08-25 14:42:09,12582.0,1.0,285,24.0,248.0,65.0,274.0,1827,Huggingface Transformers + Adapters =.,1714.0,31,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],230.0,223.0,https://pypi.org/project/adapter-transformers,17021.0,17021.0,,,,,,,,2.0,,2022-05-18 08:45:47.000,7.0,,,,,,,,,,,,,,,,,,, +261,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355,53.0,77.0,82.0,99.0,1736,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,31,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5438.0,5281.0,https://pypi.org/project/pyldavis,286225.0,287393.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,72471.0,,,,,1.0,,2021-03-24 12:57:08.000,157.0,,,,,,,,,,,,,,,,,,, +262,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-08-28 11:31:56.000000,2023-08-14 12:35:10,1131.0,91.0,206,36.0,1059.0,26.0,495.0,1708,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,31,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],246.0,243.0,https://pypi.org/project/lightning-flash,2127.0,2755.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,15085.0,,,,,1.0,,2022-05-11 18:17:54.000,3.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,, +263,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2023-08-30 21:18:30.000000,2023-08-24 17:33:03,3957.0,51.0,1032,154.0,1041.0,63.0,578.0,1657,Documentation and samples for ArcGIS API for Python.,87.0,31,True,2023-01-19 20:46:21.000,2.1.0,37.0,arcgis,,esridocker/arcgis-api-python-notebook,,,33.0,2.0,https://pypi.org/project/arcgis,78255.0,78503.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-06-17 15:56:10.986929,40.0,12501.0,3.0,8974.0,2023-01-27 17:01:00.499,31.0,,,,,,,,,,,,,,,,,,, +264,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-08-28 18:19:11.000000,2023-08-28 18:19:10,1585.0,4.0,270,55.0,134.0,78.0,178.0,1611,"CUDA integration for Python, plus shiny features.",80.0,31,True,2023-07-06 18:53:22.000,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2566.0,2349.0,https://pypi.org/project/pycuda,38346.0,46867.0,https://anaconda.org/conda-forge/pycuda,2023-06-16 19:25:22.090,247117.0,,,,,1.0,,2022-12-21 02:24:00.995,217.0,,,,,,,,,,,,,,,,,,, +265,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2023-08-18 12:13:53.000000,2023-08-01 18:37:12,811.0,6.0,320,125.0,760.0,203.0,161.0,1430,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",82.0,31,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3123.0,3093.0,https://pypi.org/project/tensorflow-model-optimization,386943.0,386943.0,,,,,,,,2.0,,2023-05-26 02:35:42.850,30.0,,,,,,,,,,,,,,,,,,, +266,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-08-23 02:20:14.000000,2023-08-20 18:28:25,1801.0,27.0,269,45.0,259.0,58.0,185.0,1429,TensorLy: Tensor Learning in Python.,66.0,31,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,516.0,470.0,https://pypi.org/project/tensorly,16164.0,21904.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,361627.0,,,,,2.0,,2023-01-14 21:19:00.648,46.0,,,,,,,,,,,,,,,,,,, +267,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105,31.0,54.0,72.0,74.0,898,Describing statistical models in Python using symbolic formulas.,17.0,31,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,80758.0,78037.0,https://pypi.org/project/patsy,9636836.0,9741320.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,8776681.0,,,,,2.0,,2022-10-09 20:29:01.698,2721.0,,,,,,,,,,,,,,,,,,, +268,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-07-20 13:07:33.000000,2023-07-20 13:07:33,1845.0,46.0,217,19.0,278.0,48.0,264.0,743,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",43.0,31,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,948.0,868.0,https://pypi.org/project/salib,108637.0,110258.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,131341.0,,,,,2.0,,2022-06-22 01:55:54.000,80.0,,,,,,,,,,,,,,,,,,, +269,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-08-19 02:06:22.000000,2023-08-10 15:56:19,17006.0,143.0,108,26.0,3531.0,509.0,3368.0,450,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,62.0,,https://pypi.org/project/datalad,11333.0,21464.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,384990.0,,,,,2.0,,2023-08-10 15:56:42.000,62.0,,,,,,,,,,,,,,,,,,, +270,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382,1263.0,557.0,836.0,2543.0,17396,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,True,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,19.0,,https://pypi.org/project/cntk,464.0,620.0,,,,,,,,3.0,14208.0,2020-12-09 22:21:57.000,19.0,,,,,,,,,,,,,,,,,,, +271,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-08-14 16:49:34.000000,2023-08-14 16:48:55,286.0,13.0,2451,134.0,40.0,109.0,122.0,15112,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",18.0,30,True,2023-08-14 16:49:34.000,1.4.4,174.0,vit-pytorch,,,,['pytorch'],307.0,301.0,https://pypi.org/project/vit-pytorch,16846.0,16846.0,,,,,,,,2.0,,2023-08-14 16:49:34.000,6.0,,,,,,,,,,,,,,,,,,, +272,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-08-29 11:58:27.000000,2023-08-18 02:24:45,2147.0,8.0,2650,194.0,3556.0,1201.0,3822.0,11078,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",143.0,30,True,2023-02-24 08:13:01.238,2.6.0,9.0,paddledet,,,,['paddle'],107.0,106.0,https://pypi.org/project/paddledet,756.0,756.0,,,,,,,,2.0,,2022-09-19 20:42:09.271,1.0,,,,,,,,,,,,,,,,,,, +273,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840,220.0,46.0,96.0,94.0,8801,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,30,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],105.0,11.0,https://pypi.org/project/pretrainedmodels,128188.0,128894.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,26854.0,,,,,2.0,,2018-10-29 08:18:45.000,94.0,,,,,,,,,,,,,,,,,,, +274,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-08-26 12:04:22.000000,2023-08-26 12:04:19,383.0,8.0,2069,288.0,95.0,295.0,445.0,7995,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1437.0,1419.0,https://pypi.org/project/imageai,5503.0,19372.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6258.0,,,,,2.0,876840.0,2023-01-02 17:10:24.749,18.0,,,,,,,,,,,,,,,,,,, +275,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-08-30 23:25:07.000000,2023-08-29 23:44:25,1133.0,17.0,1251,104.0,594.0,673.0,512.0,7520,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,118.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],1952.0,1952.0,,,3704.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,170388.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +276,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-08-31 05:09:00.000000,2023-08-31 05:05:16,5731.0,102.0,818,113.0,1520.0,104.0,567.0,6606,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,30,True,2023-08-15 13:48:47.000,2.5.0,111.0,perspective-python,conda-forge/perspective,,,['jupyter'],25.0,11.0,https://pypi.org/project/perspective-python,5433.0,18737.0,https://anaconda.org/conda-forge/perspective,2023-08-17 17:47:39.546,436836.0,,,,,2.0,842.0,2023-08-15 13:48:47.000,11.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-08-15 13:47:56.393,3.0,967.0,,,,,,,,,,,,, +277,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-08-31 13:38:15.000000,2023-08-30 20:39:58,1379.0,65.0,520,72.0,547.0,67.0,183.0,6444,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",36.0,30,False,2023-05-13 04:22:02.613,2.4.0,23.0,cleanlab,conda-forge/cleanlab,,,,170.0,166.0,https://pypi.org/project/cleanlab,16625.0,17033.0,https://anaconda.org/conda-forge/cleanlab,2023-06-16 19:18:40.370,16332.0,,,,,2.0,,2022-11-28 17:41:01.653,4.0,,,,,,,,,,,,,,,,,,, +278,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-08-30 21:26:24.000000,2023-08-28 16:24:58,911.0,49.0,861,137.0,590.0,118.0,282.0,6094,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,80.0,30,True,2023-07-30 13:54:28.000,0.10,12.0,dowhy,conda-forge/dowhy,,,,291.0,284.0,https://pypi.org/project/dowhy,42476.0,42895.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,16342.0,,,,,2.0,33.0,2023-07-30 13:57:04.000,7.0,,,,,,,,,,,,,,,,,,, +279,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390,191.0,783.0,38.0,423.0,5900,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,30,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],521.0,509.0,https://pypi.org/project/cleverhans,1126.0,1307.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,6893.0,,,,,2.0,,2021-07-24 08:53:21.000,12.0,,,,,,,,,,,,,,,,,,, +280,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-31 14:28:44.000000,2023-08-11 13:10:00,1487.0,55.0,770,145.0,1379.0,308.0,393.0,4371,Simple and Distributed Machine Learning.,112.0,30,True,2023-07-10 23:02:02.218,0.11.2,31.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,305908.0,305908.0,,,,,,,,2.0,,2022-11-22 14:39:00.749,3.0,,,,,,,,,,,,,,,,,,, +281,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-08-31 13:02:24.000000,2023-08-31 08:01:23,1614.0,31.0,588,59.0,1756.0,115.0,1148.0,4326,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,199.0,30,True,2023-05-01 08:23:15.000,0.4.12,23.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],,,https://pypi.org/project/pytorch-ignite,103797.0,106295.0,https://anaconda.org/pytorch/ignite,2023-06-16 16:08:55.791,154884.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +282,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,434,41.0,124.0,62.0,154.0,4078,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,872.0,846.0,https://pypi.org/project/nlpaug,142028.0,142517.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,12735.0,,,,,2.0,,2022-07-07 05:23:07.000,26.0,,,,,,,,,,,,,,,,,,, +283,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-08-30 17:40:49.000000,2022-09-24 16:20:26,585.0,,794,91.0,196.0,95.0,411.0,3972,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3275.0,3243.0,https://pypi.org/project/pandas-ta,73139.0,73957.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,18005.0,,,,,3.0,,2021-07-28 20:51:17.000,32.0,,,,,,,,,,,,,,,,,,, +284,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-06-16 19:28:08.623000,2023-02-17 16:34:52,3273.0,,522,121.0,361.0,75.0,728.0,3805,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,339.0,290.0,https://pypi.org/project/dedupe,60533.0,62466.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,38667.0,,,,,2.0,,2023-02-17 16:58:05.493,49.0,,,,,,,,,,,,,,,,,,, +285,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-06-16 19:24:38.213000,2022-08-23 15:59:41,615.0,,796,149.0,116.0,132.0,99.0,3745,Technical Analysis Library using Pandas and Numpy.,29.0,30,True,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2509.0,2466.0,https://pypi.org/project/ta,62084.0,62692.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,18268.0,,,,,2.0,,2022-08-23 16:03:04.047,43.0,,,,,,,,,,,,,,,,,,, +286,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455,72.0,37.0,8.0,121.0,3634,Missing data visualization module for Python.,18.0,30,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,12792.0,12655.0,https://pypi.org/project/missingno,461342.0,465406.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,296713.0,,,,,2.0,,2022-02-27 20:39:36.000,137.0,,,,,,,,,,,,,,,,,,, +287,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-08-19 15:07:22.000000,2022-10-25 17:55:33,609.0,,114,76.0,66.0,13.0,120.0,3596,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,30,True,2021-08-23 21:02:05.000,6.0.3,11.0,ftfy,conda-forge/ftfy,,,,13062.0,13062.0,https://pypi.org/project/ftfy,3435844.0,3439347.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,266296.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +288,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-08-31 04:54:30.000000,2023-08-28 13:23:15,15249.0,67.0,468,71.0,3268.0,796.0,1531.0,3516,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-08-09 21:09:44.000,23.08.00,34.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,1552.0,1552.0,,,,,,,,2.0,,2020-06-01 20:09:10.000,5.0,,,,,,,,,,,,,,,,,,, +289,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-11-22 09:59:24.000000,2022-08-14 17:11:42,3272.0,,703,185.0,733.0,262.0,669.0,3380,DyNet: The Dynamic Neural Network Toolkit.,160.0,30,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,278.0,249.0,https://pypi.org/project/dyNET,21614.0,21764.0,,,,,,,,3.0,12352.0,2020-10-21 14:31:01.000,29.0,,,,,,,,,,,,,,,,,,, +290,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399,46.0,1084.0,6.0,351.0,3167,Accelerated deep learning R&D.,104.0,30,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1007.0,975.0,https://pypi.org/project/catalyst,59960.0,59960.0,,,,,,,,2.0,,2022-04-29 04:46:04.000,32.0,,,,,,,,,,,,,,,,,,, +291,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-08-30 01:59:31.000000,2023-08-23 13:27:28,1458.0,57.0,221,16.0,1654.0,255.0,718.0,2999,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,48.0,30,False,2023-07-27 06:53:09.000,0.17.4,57.0,deepchecks,,,,,258.0,252.0,https://pypi.org/project/deepchecks,53630.0,53663.0,,,,,,,,2.0,742.0,2023-07-27 06:52:56.000,6.0,,,,,,,,,,,,,,,,,,, +292,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-08-30 23:50:27.000000,2023-08-10 21:20:25,1035.0,2.0,374,65.0,441.0,197.0,258.0,2765,A Hyperparameter Tuning Library for Keras.,56.0,30,True,2023-04-13 04:37:00.942,1.3.5,26.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2690.0,2634.0,https://pypi.org/project/keras-tuner,174701.0,175680.0,https://anaconda.org/conda-forge/keras-tuner,2023-06-15 21:56:32.772,23508.0,,,,,2.0,,2023-04-13 04:37:00.942,56.0,,,,,,,,,,,,,,,,,,, +293,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-08-22 03:30:25.000000,2023-08-22 03:30:22,3432.0,60.0,338,157.0,1139.0,34.0,58.0,2642,Neural Network Libraries.,72.0,30,True,2023-07-14 02:40:27.000,1.36.0,76.0,nnabla,,,,,54.0,,https://pypi.org/project/nnabla,3329.0,3338.0,,,,,,,,3.0,705.0,2022-05-01 11:42:01.000,54.0,,,,,,,,,,,,,,,,,,, +294,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-07-13 20:18:43.899000,2023-07-13 17:20:36,617.0,7.0,318,50.0,117.0,55.0,131.0,2630,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,906.0,882.0,https://pypi.org/project/dtreeviz,143631.0,145354.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,56859.0,,,,,2.0,,2022-07-07 17:18:00.886,24.0,,,,,,,,,,,,,,,,,,, +295,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-08-29 10:55:53.000000,2023-08-29 09:34:59,1088.0,62.0,212,25.0,923.0,89.0,374.0,2474,A python library for self-supervised learning on images.,30.0,30,True,2023-08-29 10:54:45.000,1.4.17,104.0,lightly,,,,['pytorch'],165.0,161.0,https://pypi.org/project/lightly,10427.0,10427.0,,,,,,,,2.0,,2023-08-29 10:55:53.000,4.0,,,,,,,,,,,,,,,,,,, +296,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-08-01 19:18:42.000000,2023-07-27 00:28:47,2830.0,11.0,962,122.0,480.0,53.0,289.0,2463,IPython Parallel: Interactive Parallel Computing in Python.,112.0,30,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],297.0,,https://pypi.org/project/ipyparallel,293464.0,303590.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,891107.0,,,,,2.0,,2023-04-14 13:35:06.415,297.0,,,,,,,,,,,,,,,,,,, +297,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,353,85.0,166.0,215.0,146.0,2270,D3 Renderings of Matplotlib Graphics.,51.0,30,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5408.0,4993.0,https://pypi.org/project/mpld3,285806.0,288666.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,185530.0,,,,,2.0,,2022-12-10 14:03:04.289,407.0,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,752.0,,,,,,,,,,,,, +298,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2023-08-31 13:46:31.000000,2023-08-31 13:46:29,2124.0,237.0,166,28.0,865.0,31.0,108.0,2226,Bring AI inside your Database System & build AI-powered apps.,58.0,30,True,2023-08-29 05:02:44.000,0.3.3,31.0,evadb,,,,['pytorch'],19.0,19.0,https://pypi.org/project/evadb,986.0,32117.0,,,,,,,,3.0,404711.0,,,,,,,,,,georgia-tech-db/evadb,,,,,,,,,,, +299,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-07-21 19:33:11.000000,2023-04-03 00:19:55,1816.0,,246,91.0,123.0,29.0,230.0,2101,"NLP, before and after spaCy.",35.0,30,False,2023-04-02 22:46:00.000,0.13.0,29.0,textacy,conda-forge/textacy,,,,1522.0,1522.0,https://pypi.org/project/textacy,59621.0,61417.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,134751.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +300,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-08-10 11:30:02.000000,2023-08-01 12:07:51,1342.0,18.0,274,23.0,43.0,25.0,193.0,1981,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,366.0,357.0,https://pypi.org/project/explainerdashboard,33751.0,34969.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,38978.0,,,,,2.0,,2023-08-01 11:53:07.000,9.0,,,,,,,,,,,,,,,,,,, +301,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-07-19 13:59:08.000000,2023-07-19 13:22:55,187.0,2.0,251,58.0,65.0,75.0,213.0,1838,A Python wrapper for the tesseract-ocr API.,29.0,30,True,2023-07-19 13:59:08.000,2.6.1,18.0,tesserocr,conda-forge/tesserocr,,,,945.0,873.0,https://pypi.org/project/tesserocr,57600.0,60260.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,122378.0,,,,,2.0,40.0,2023-07-19 13:59:08.000,72.0,,,,,,,,,,,,,,,,,,, +302,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-08-28 11:12:41.000000,2023-08-09 07:05:49,2440.0,7.0,435,74.0,1251.0,143.0,679.0,1760,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],588.0,552.0,https://pypi.org/project/gpflow,47238.0,47610.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,23494.0,,,,,3.0,,2023-08-09 09:23:26.000,36.0,,,,,,,,,,,,,,,,,,, +303,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-08-30 13:12:55.000000,2023-08-30 13:12:51,1087.0,90.0,172,22.0,139.0,46.0,123.0,1485,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-30 11:28:23.000,0.33.0,36.0,audiomentations,,,,,331.0,326.0,https://pypi.org/project/audiomentations,20139.0,20139.0,,,,,,,,2.0,,2023-08-30 11:28:23.000,5.0,,,,,,,,,,,,,,,,,,, +304,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-08-01 12:04:14.000000,2023-08-01 12:04:06,917.0,3.0,427,88.0,197.0,49.0,233.0,1355,The Python ensemble sampling toolkit for affine-invariant MCMC.,68.0,30,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2374.0,2025.0,https://pypi.org/project/emcee,97647.0,101146.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,304472.0,,,,,3.0,,2022-05-10 15:29:37.000,349.0,,,,,,,,,,,,,,,,,,, +305,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-08-30 18:52:03.000000,2023-08-30 18:52:03,726.0,87.0,83,21.0,246.0,55.0,163.0,1335,Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/.,35.0,30,True,2023-07-26 00:11:28.000,0.10.11,43.0,equinox,,,,['jax'],248.0,217.0,https://pypi.org/project/equinox,29377.0,29377.0,,,,,,,,1.0,,2023-07-26 00:11:28.000,31.0,,,,,,,,,,,,,,,,,,, +306,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-08-11 14:16:32.000000,2023-08-11 14:16:32,1460.0,9.0,160,33.0,233.0,1.0,,1279,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",21.0,30,True,2023-08-01 12:10:59.000,1.3.0,72.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1253.0,1213.0,https://pypi.org/project/spacy-transformers,291655.0,292664.0,https://anaconda.org/conda-forge/spacy-transformers,2023-08-09 15:18:33.481,21209.0,,,,,2.0,,2023-08-01 12:09:29.000,40.0,,,,,,,,,,,,,,,,,,, +307,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-08-31 14:02:41.000000,2023-08-31 14:02:34,3468.0,243.0,48,147.0,446.0,110.0,303.0,1201,Multiplatform plotting library based on Grammar of Graphics.,19.0,30,True,2023-08-17 11:44:10.000,4.0.0,63.0,lets-plot,,,,,43.0,42.0,https://pypi.org/project/lets-plot,14953.0,14964.0,,,,,,,,2.0,530.0,2023-08-17 11:09:12.000,1.0,,,,,,,,,,,,,,,,,,, +308,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-08-28 07:49:55.000000,2023-08-03 09:42:45,1496.0,18.0,161,19.0,743.0,108.0,427.0,1187,Clean APIs for data cleaning. Python implementation of R package Janitor.,106.0,30,True,2023-07-27 14:28:59.000,0.25.0,58.0,pyjanitor,conda-forge/pyjanitor,,,,465.0,447.0,https://pypi.org/project/pyjanitor,32041.0,34795.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,179049.0,,,,,2.0,,2023-07-27 14:28:53.000,18.0,,,,,,,,,,,,,,,,,,, +309,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-08-17 10:52:32.000000,2023-08-17 10:51:40,2989.0,23.0,256,34.0,37.0,1.0,470.0,1166,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-07-23 14:16:32.000,0.37.6,100.0,ktrain,,,,['tensorflow'],452.0,452.0,https://pypi.org/project/ktrain,21759.0,21759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +310,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2023-08-29 17:41:03.000000,2023-07-12 12:05:32,1079.0,4.0,237,42.0,484.0,25.0,175.0,1148,ARCH models in Python.,34.0,30,False,2023-05-26 17:13:00.353,5.6.0,44.0,arch,conda-forge/arch-py,,,,1165.0,1103.0,https://pypi.org/project/arch,228288.0,234003.0,https://anaconda.org/conda-forge/arch-py,2023-06-16 16:19:10.926,257186.0,,,,,2.0,,2022-06-22 10:47:05.000,62.0,,,,,,,,,,,,,,,,,,, +311,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454,44.0,176.0,93.0,102.0,1028,"Utilities for working with image data, text data, and sequence data.",52.0,30,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,6088423.0,6121208.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2032674.0,,,,,3.0,,2020-05-14 03:55:22.223,1572.0,,,,,,,,,,,,,,,,,,, +312,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-08-30 16:59:06.279000,2023-08-30 05:27:08,9992.0,103.0,218,33.0,1380.0,206.0,335.0,984,Computations and statistics on manifolds with geometric structures.,82.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,81.0,78.0,https://pypi.org/project/geomstats,2861.0,2973.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,1569.0,,,,,3.0,,2023-08-30 05:33:32.000,3.0,,,,,,,,,,,,,,,,,,, +313,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,241,41.0,502.0,266.0,252.0,862,Scalable Machine Learning with Dask.,77.0,30,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,920.0,848.0,https://pypi.org/project/dask-ml,197166.0,207961.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,755695.0,,,,,2.0,,2020-05-06 15:02:41.000,72.0,,,,,,,,,,,,,,,,,,, +314,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-08-29 15:33:09.000000,2023-08-29 15:30:18,584.0,12.0,88,26.0,430.0,280.0,372.0,796,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",42.0,30,True,2023-06-06 09:09:01.000,0.8.4,56.0,hvplot,conda-forge/hvplot,,,,3606.0,3524.0,https://pypi.org/project/hvplot,149303.0,161070.0,https://anaconda.org/conda-forge/hvplot,2023-06-20 07:28:53.177,447165.0,,,,,2.0,,2023-06-08 11:14:01.153,82.0,,,,,,,,,,,,,,,,,,, +315,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-08-24 18:33:43.000000,2023-08-24 18:33:43,654.0,13.0,98,13.0,92.0,65.0,60.0,785,A Python nearest neighbor descent for approximate nearest neighbors.,26.0,30,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4257.0,4202.0,https://pypi.org/project/pynndescent,803091.0,835190.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1604964.0,,,,,3.0,,2022-10-31 17:20:00.872,55.0,,,,,,,,,,,,,,,,,,, +316,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-08-07 04:37:09.000000,2023-08-07 04:36:46,941.0,2.0,170,36.0,112.0,31.0,52.0,679,Snowball compiler and stemming algorithms.,33.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6803.0,4.0,https://pypi.org/project/snowballstemmer,9445977.0,9530232.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7077472.0,,,,,2.0,,2021-11-16 18:38:34.000,6799.0,,,,,,,,,,,,,,,,,,, +317,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-08-21 23:01:48.000000,2023-08-21 22:48:44,1617.0,21.0,277,42.0,1226.0,261.0,356.0,663,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",106.0,30,True,2023-08-02 02:27:26.000,0.33.0,40.0,tensorflow-io,,,,['tensorflow'],31.0,,https://pypi.org/project/tensorflow-io,1835708.0,1835708.0,,,,,,,,3.0,,2023-08-02 02:25:49.000,31.0,,,,,,,,,,,,,,,,,,, +318,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-08-08 09:17:25.121000,2023-07-24 08:34:41,564.0,3.0,38,14.0,63.0,7.0,25.0,202,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-07-21 07:42:13.000,0.7.10,45.0,blis,conda-forge/cython-blis,,,,32552.0,32306.0,https://pypi.org/project/blis,5037009.0,5092457.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1940700.0,,,,,2.0,,2023-07-21 07:28:48.000,246.0,,,,,,,,,,,,,,,,,,, +319,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-08-31 08:45:10.000000,2020-01-31 13:06:18,347.0,,4769,643.0,371.0,495.0,435.0,14736,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,558.0,519.0,https://pypi.org/project/baselines,837.0,837.0,,,,,,,,1.0,,2018-02-26 17:07:07.000,39.0,,,,,,,,,,,,,,,,,,, +320,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-08-20 15:47:46.000000,2023-04-19 14:13:08,2404.0,,3342,588.0,214.0,42.0,,11425,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1726.0,1667.0,https://pypi.org/project/backtrader,12192.0,12192.0,,,,,,,,2.0,,2020-07-03 13:02:14.000,59.0,,,,,,,,,,,,,,,,,,, +321,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1700,199.0,68.0,96.0,34.0,9274,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,29,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,9.0,1.0,https://pypi.org/project/english-words,580725.0,580725.0,,,,,,,,2.0,,2023-01-06 00:05:02.564,8.0,,,,,,,,,,,,,,,,,,, +322,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909,269.0,98.0,82.0,81.0,7164,Visualizations for machine learning datasets.,31.0,29,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],205.0,197.0,https://pypi.org/project/facets-overview,182996.0,182996.0,,,,,,,,3.0,,2023-05-24 15:58:01.158,8.0,,,,,,,,,,,,,,,,,,, +323,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-08-17 14:37:33.000000,2023-08-16 23:55:56,220.0,9.0,1274,172.0,45.0,67.0,235.0,6460,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-08-17 14:37:33.000,1.4.1,13.0,face-alignment,,,,['pytorch'],11.0,11.0,https://pypi.org/project/face-alignment,55951.0,55951.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +324,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-08-31 09:04:38.000000,2023-08-29 16:18:36,1890.0,124.0,771,94.0,2096.0,258.0,827.0,6171,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",109.0,29,True,2023-06-30 22:19:00.811,0.8.2,1259.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,40436.0,40512.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,15.0,3751.0,2.0,,2023-08-31 09:04:38.000,7.0,,,,,,,,,,,,,,,,,,, +325,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-08-30 13:05:18.000000,2023-08-30 13:04:28,247.0,1.0,851,122.0,38.0,62.0,142.0,4795,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2093.0,2057.0,https://pypi.org/project/torchdiffeq,1223069.0,1223400.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,12914.0,,,,,2.0,,2022-04-22 15:21:47.000,36.0,,,,,,,,,,,,,,,,,,, +326,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-08-30 19:40:45.000000,2023-08-29 00:09:03,6151.0,61.0,507,152.0,1890.0,289.0,1318.0,4213,ArrayFire: a general purpose GPU library.,88.0,29,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,882.0,926.0,,,,,,,,2.0,4363.0,2022-02-22 21:42:15.000,7.0,,,,,,,,,,,,,,,,,,, +327,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-06-19 05:07:43.000000,2023-06-19 05:07:42,1342.0,1.0,374,71.0,364.0,96.0,460.0,4079,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2645.0,2539.0,https://pypi.org/project/sacred,32152.0,32335.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,3857.0,,,,,2.0,,2023-01-25 17:37:52.489,106.0,,,,,,,,,,,,,,,,,,, +328,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-07-17 02:18:14.000000,2022-12-25 20:03:53,522.0,,693,176.0,79.0,8.0,268.0,4001,A python wrapper for Alpha Vantage API for financial data.,42.0,29,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,421.0,392.0,https://pypi.org/project/alpha_vantage,28190.0,28354.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5103.0,,,,,2.0,,2020-12-21 02:36:15.000,29.0,,,,,,,,,,,,,,,,,,, +329,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-08-22 11:15:06.000000,2023-04-10 19:56:01,1585.0,,508,41.0,689.0,429.0,274.0,3178,Time series forecasting with PyTorch.,35.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,75675.0,77080.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,49184.0,,,,,2.0,,2020-07-26 21:35:43.000,10.0,,,,,,,,,,,,,,,,,,, +330,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-08-30 22:12:57.000000,2023-08-30 22:12:54,1108.0,104.0,444,61.0,602.0,1.0,477.0,3142,On-device wake word detection powered by deep learning.,35.0,29,True,2023-06-07 17:55:33.855,2.2.1,31.0,pvporcupine,,,,,33.0,22.0,https://pypi.org/project/pvporcupine,3756.0,3756.0,,,,,,,,2.0,,2022-06-28 23:59:24.000,11.0,,,,,,,,,,,,,,,,,,, +331,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672,111.0,73.0,99.0,123.0,2876,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],9111.0,8941.0,https://pypi.org/project/cufflinks,89837.0,89837.0,,,,,,,,3.0,,2020-03-01 17:42:01.000,170.0,,,,,,,,,,,,,,,,,,, +332,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-08-28 10:18:45.000000,2023-06-20 03:14:12,435.0,5.0,273,34.0,468.0,30.0,30.0,2837,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1025.0,983.0,https://pypi.org/project/torch_optimizer,88443.0,88752.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,8666.0,,,,,2.0,,2021-10-31 03:00:19.000,42.0,,,,,,,,,,,,,,,,,,, +333,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-07-19 21:32:03.000000,2021-10-29 06:15:49,2535.0,,412,64.0,931.0,315.0,745.0,2764,StellarGraph - Machine Learning on Graphs.,36.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],237.0,229.0,https://pypi.org/project/stellargraph,9237.0,9237.0,,,,,,,,2.0,,2018-09-14 03:43:24.000,8.0,,,,,,,,,,,,,,,,,,, +334,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-08-11 17:56:48.000000,2023-06-03 05:02:19,540.0,13.0,468,97.0,42.0,82.0,240.0,2656,Learning to Rank in TensorFlow.,32.0,29,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,115945.0,115945.0,,,,,,,,2.0,,2023-08-11 17:56:48.000,13.0,,,,,,,,,,,,,,,,,,, +335,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-08-28 12:37:11.059000,2023-08-25 11:58:57,122.0,16.0,257,49.0,17.0,45.0,83.0,2556,"Visualize and compare datasets, target values and associations, with one line of code.",9.0,29,True,2023-08-26 11:31:52.000,2.2.1,33.0,sweetviz,conda-forge/sweetviz,,,,1676.0,1664.0,https://pypi.org/project/sweetviz,65771.0,66583.0,https://anaconda.org/conda-forge/sweetviz,2023-08-28 12:37:11.059,24378.0,,,,,3.0,,2023-08-26 11:26:41.000,12.0,6.0,,,,,,,,,,,,,,,,,, +336,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-12-25 20:52:27.000000,2022-12-25 20:52:27,843.0,,500,99.0,1043.0,237.0,297.0,2519,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",84.0,29,True,2020-08-13 19:16:27.000,0.10.0,15.0,gluonnlp,,,,['mxnet'],1354.0,1354.0,https://pypi.org/project/gluonnlp,118017.0,118017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +337,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-08-31 00:41:27.000000,2023-08-28 19:37:36,2621.0,12.0,320,35.0,492.0,44.0,211.0,2465,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",60.0,29,True,2022-11-02 19:43:17.000,0.3.8,45.0,textattack,conda-forge/textattack,,,,193.0,187.0,https://pypi.org/project/textattack,3820.0,4005.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6496.0,,,,,2.0,,2022-05-25 19:09:47.000,6.0,,,,,,,,,,,,,,,,,,, +338,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-08-31 13:38:07.000000,2023-08-31 00:01:36,6360.0,562.0,306,76.0,7444.0,31.0,288.0,2438,"Determined is a deep-learning platform that simplifies distributed training, hyperparameter tuning, experiment..",102.0,29,True,2023-08-30 03:59:03.000,0.25.0,92.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",,,https://pypi.org/project/determined,14812.0,14987.0,,,,,,,,3.0,7013.0,,,,,,,,,,,,,,,,,,,,, +339,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-08-29 12:43:58.000000,2023-08-29 12:43:53,756.0,29.0,574,176.0,71.0,7.0,518.0,2328,Python sync/async framework for Interactive Brokers API.,36.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,25767.0,26486.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,35233.0,,,,,2.0,,2022-11-21 09:32:01.715,23.0,,,,,,,,,,,,,,,,,,, +340,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-08-01 10:17:09.000000,2023-08-01 10:17:08,630.0,26.0,229,46.0,610.0,131.0,219.0,2144,Algorithms for explaining machine learning models.,18.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,534.0,509.0,https://pypi.org/project/alibi,16269.0,16269.0,,,,,,,,2.0,,2023-07-07 14:10:05.734,25.0,,,,,,,,,,,,,,,,,,, +341,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-08-31 14:42:28.000000,2023-08-31 14:20:37,742.0,38.0,272,35.0,808.0,42.0,220.0,2051,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",36.0,29,True,2022-09-29 11:52:22.795,0.6.0,12.0,python-doctr,,,,"['tensorflow', 'pytorch']",182.0,179.0,https://pypi.org/project/python-doctr,7386.0,66895.0,,,,,,,,2.0,1785293.0,2022-09-29 11:52:22.795,3.0,,,,,,,,,,,,,,,,,,, +342,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-08-08 14:12:52.000000,2023-08-08 14:12:47,699.0,25.0,190,35.0,502.0,134.0,231.0,1924,"Algorithms for outlier, adversarial and drift detection.",18.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,374.0,368.0,https://pypi.org/project/alibi-detect,16334.0,16334.0,,,,,,,,2.0,,2022-06-01 16:23:29.000,6.0,,,,,,,,,,,,,,,,,,, +343,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-06-16 19:25:41.987000,2023-05-23 20:45:11,496.0,,393,85.0,93.0,80.0,250.0,1756,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1575.0,1549.0,https://pypi.org/project/bt,8370.0,8984.0,https://anaconda.org/conda-forge/bt,2023-06-16 19:25:41.987,17219.0,,,,,2.0,,2021-04-21 02:52:26.000,26.0,,,,,,,,,,,,,,,,,,, +344,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-08-03 18:28:09.000000,2023-06-10 14:30:23,670.0,1.0,400,41.0,58.0,19.0,265.0,1733,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1059.0,1037.0,https://pypi.org/project/ogb,34424.0,35191.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,26853.0,,,,,2.0,,2022-11-02 22:00:56.960,22.0,,,,,,,,,,,,,,,,,,, +345,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-08-25 11:31:52.000000,2023-08-24 14:59:36,802.0,20.0,358,36.0,817.0,175.0,274.0,1636,A Python package to assess and improve fairness of machine learning models.,75.0,29,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,185813.0,186681.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,28656.0,,,,,2.0,,2023-07-27 16:36:24.000,24.0,,,,,,,,,,,,,,,,,,, +346,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-08-18 00:10:30.000000,2023-08-08 23:40:11,359.0,4.0,240,48.0,306.0,232.0,180.0,1629,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],250.0,249.0,https://pypi.org/project/tensorflow-recommenders,363557.0,363557.0,,,,,,,,2.0,,2023-02-03 02:17:00.422,1.0,,,,,,,,,,,,,,,,,,, +347,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-06-15 20:53:40.904000,2023-05-28 23:36:46,406.0,,269,59.0,84.0,21.0,95.0,1583,ffn - a financial function library for Python.,30.0,29,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,393.0,364.0,https://pypi.org/project/ffn,307807.0,307992.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5186.0,,,,,2.0,,2021-04-21 02:47:21.000,29.0,,,,,,,,,,,,,,,,,,, +348,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-08-28 00:11:38.000000,2023-08-14 16:02:23,1697.0,34.0,360,57.0,95.0,51.0,405.0,1573,Reinforcement Learning environments based on the 1993 game Doom.,53.0,29,True,2023-05-12 10:16:57.000,1.2.0,26.0,vizdoom,,,,,217.0,201.0,https://pypi.org/project/vizdoom,783.0,914.0,,,,,,,,1.0,11720.0,2022-04-18 01:07:39.000,16.0,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,, +349,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-06-16 16:16:35.554000,2022-08-31 01:52:51,509.0,,308,104.0,49.0,7.0,151.0,1567,Distributed Deep learning with Keras & Spark.,27.0,29,True,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,72459.0,72724.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,12728.0,,,,,2.0,,2023-03-04 14:29:00.451,3.0,,,,,,,,,,,,,,,,,,, +350,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-08-31 14:38:23.000000,2023-08-31 14:38:22,931.0,2.0,166,46.0,286.0,104.0,116.0,1506,Evaluate: A library for easily evaluating machine learning models and datasets.,121.0,29,True,2022-12-13 13:35:51.000,0.4.0,13.0,evaluate,,,,,3641.0,3542.0,https://pypi.org/project/evaluate,792202.0,792202.0,,,,,,,,2.0,,2022-12-13 13:28:07.299,99.0,,,,,,,,,,,,,,,,,,, +351,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-08-04 16:50:06.000000,2023-08-02 14:39:40,3622.0,164.0,243,32.0,532.0,83.0,654.0,1442,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,72.0,29,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,42.0,41.0,https://pypi.org/project/avalanche-lib,1540.0,1540.0,,,,,,,,2.0,4.0,2023-07-28 14:24:47.000,1.0,,,,,,,,,,,,,,,,,,, +352,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-07-21 21:17:07.584000,2023-07-04 11:04:34,170.0,11.0,175,30.0,16.0,2.0,75.0,1422,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,29,True,2023-07-04 11:06:01.504,0.1.730,74.0,autoviz,conda-forge/autoviz,,,,543.0,536.0,https://pypi.org/project/autoviz,189442.0,191141.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,40781.0,,,,,3.0,,2022-10-03 01:43:19.267,7.0,,,,,,,,,,,,,,,,,,, +353,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-08-28 23:44:54.000000,2023-08-28 23:44:52,1358.0,28.0,266,73.0,102.0,34.0,52.0,1213,Model analysis tools for TensorFlow.,55.0,29,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",23.0,,https://pypi.org/project/tensorflow-model-analysis,215309.0,215309.0,,,,,,,,2.0,,2023-08-14 20:39:41.000,23.0,,,,,,,,,,,,,,,,,,, +354,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,400,52.0,37.0,17.0,138.0,1177,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2237.0,2204.0,https://pypi.org/project/kmodes,174044.0,174902.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,34329.0,,,,,2.0,,2022-04-14 21:22:39.000,33.0,,,,,,,,,,,,,,,,,,, +355,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-08-29 18:40:22.000000,2023-08-29 00:42:40,988.0,64.0,102,25.0,113.0,25.0,50.0,1164,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,29,True,2023-08-22 16:28:09.000,1.4.0,43.0,imodels,,,,,56.0,52.0,https://pypi.org/project/imodels,126870.0,126870.0,,,,,,,,2.0,,2023-08-22 16:27:40.000,4.0,,,,,,,,,,,,,,,,,,, +356,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-08-30 20:35:46.000000,2023-07-22 14:48:14,967.0,59.0,200,24.0,111.0,23.0,180.0,971,Survival analysis built on top of scikit-learn.,18.0,29,False,2023-06-11 15:03:35.997,0.21.0,25.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],335.0,327.0,https://pypi.org/project/scikit-survival,66133.0,68766.0,https://anaconda.org/conda-forge/scikit-survival,2023-06-11 18:58:18.077,55307.0,,,,,2.0,,2023-06-11 15:03:35.997,8.0,,,,,,,,,,,,,,,,,,, +357,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-08-31 14:09:32.000000,2023-08-31 12:03:21,12222.0,177.0,265,33.0,1637.0,434.0,581.0,941,Python package for earth-observing satellite data processing.,145.0,29,False,2023-07-03 12:46:39.737,0.43.0,88.0,satpy,conda-forge/satpy,,,,121.0,105.0,https://pypi.org/project/satpy,2707.0,7032.0,https://anaconda.org/conda-forge/satpy,2023-07-03 21:06:11.068,164367.0,,,,,3.0,,2023-02-09 10:49:31.597,16.0,,,,,,,,,,,,,,,,,,, +358,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-08-31 14:41:52.000000,2023-08-31 14:13:54,1765.0,169.0,250,22.0,2015.0,81.0,223.0,936,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,38.0,29,True,2023-08-30 17:31:07.000,0.30.0,48.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",68.0,65.0,https://pypi.org/project/raiwidgets,7293.0,7293.0,,,,,,,,2.0,,2023-08-30 17:31:07.000,3.0,,,,,,,,,,,,,,,,,,, +359,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-07-15 18:12:04.000000,2023-05-28 23:30:39,485.0,,120,31.0,125.0,25.0,73.0,834,Python bindings and utilities for GeoJSON.,53.0,29,True,2023-02-16 01:19:03.498,3.0.1,30.0,geojson,conda-forge/geojson,,,,16121.0,14884.0,https://pypi.org/project/geojson,1128245.0,1136558.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,739915.0,,,,,3.0,,2023-01-26 16:04:02.467,1237.0,,,,,,,,,,,,,,,,,,, +360,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2023-08-21 19:21:49.000000,2023-08-21 19:21:48,925.0,22.0,149,48.0,81.0,37.0,139.0,728,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",758.0,728.0,https://pypi.org/project/tensorflow-data-validation,206973.0,206980.0,,,,,,,,3.0,470.0,2023-08-14 06:58:23.000,30.0,,,,,,,,,,,,,,,,,,, +361,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-08-17 17:52:50.000000,2023-08-17 17:52:43,277.0,5.0,107,24.0,50.0,36.0,53.0,447,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,24.0,29,True,2022-08-12 20:27:02.876,3.0.0,26.0,audioread,conda-forge/audioread,,,,15148.0,14790.0,https://pypi.org/project/audioread,1167248.0,1175441.0,https://anaconda.org/conda-forge/audioread,2023-06-16 13:18:56.097,696426.0,,,,,2.0,,2022-08-12 20:27:02.876,358.0,,,,,,,,,,,,,,,,,,, +362,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-08-31 11:25:14.000000,2023-08-31 08:37:44,1620.0,113.0,48,14.0,1240.0,35.0,194.0,407,The MLOps stack component for experiment tracking.,49.0,29,True,2023-08-31 11:22:55.000,1.6.2rc1,175.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,570737.0,576085.0,https://anaconda.org/conda-forge/neptune-client,2023-08-23 09:32:07.909,208591.0,,,,,2.0,,2023-08-31 11:25:14.000,44.0,,,,,,,,,,,,,,,,,,, +363,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-06-29 16:28:26.000000,2023-06-29 16:28:24,325.0,5.0,1372,440.0,46.0,96.0,86.0,10197,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],47.0,11.0,https://pypi.org/project/dopamine-rl,36337.0,36337.0,,,,,,,,2.0,,2022-09-21 20:20:42.649,36.0,,,,,,,,,,,,,,,,,,, +364,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-08-31 11:42:20.000000,2023-08-31 11:42:11,424.0,238.0,644,78.0,169.0,97.0,194.0,8392,"PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making..",43.0,28,True,2023-08-31 09:22:41.000,1.1,61.0,pandas-ai,,,,,1817.0,1817.0,https://pypi.org/project/pandas-ai,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +365,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-08-30 00:08:12.000000,2023-08-27 03:23:31,2835.0,31.0,2011,187.0,374.0,168.0,468.0,8018,FinRL: Financial Reinforcement Learning.,102.0,28,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,999.0,999.0,,,,,,,,2.0,,2022-01-08 13:58:14.000,,,,,,,,,,,,,,,,,,,, +366,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153,352.0,79.0,47.0,231.0,7792,StarCraft II Learning Environment.,39.0,28,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,620.0,594.0,https://pypi.org/project/pysc2,1019.0,1443.0,,,,,,,,2.0,30543.0,2022-07-13 12:02:04.256,26.0,,,,,,,,,,,,,,,,,,, +367,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2022-12-20 01:05:44.000000,2019-10-23 20:45:07,6625.0,,1555,625.0,2111.0,453.0,1338.0,6329,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:12:12.000,1.0.5,47.0,nupic,,,,,117.0,117.0,https://pypi.org/project/nupic,1760.0,1760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +368,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-06-16 16:08:26.431000,2023-01-27 13:12:44,652.0,,961,146.0,93.0,73.0,304.0,5926,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,61.0,11.0,https://pypi.org/project/scikit-surprise,120949.0,125927.0,https://anaconda.org/conda-forge/scikit-surprise,2023-06-16 16:08:26.431,333535.0,,,,,2.0,,2022-09-23 17:17:00.724,50.0,,,,,,,,,,,,,,,,,,, +369,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1198,155.0,950.0,60.0,781.0,5619,Gluon CV Toolkit.,118.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],72.0,11.0,https://pypi.org/project/gluoncv,37026.0,37026.0,,,,,,,,3.0,,2022-07-07 09:00:54.000,61.0,,,,,,,,,,,,,,,,,,, +370,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-12-15 12:11:23.000000,2019-11-11 22:14:54,308.0,,1360,208.0,157.0,42.0,227.0,5433,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],758.0,704.0,https://pypi.org/project/keras-rl,1318.0,1318.0,,,,,,,,2.0,,2018-06-01 07:52:24.000,54.0,,,,,,,,,,,,,,,,,,, +371,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-11-14 14:53:09.000000,2022-09-18 19:55:03,775.0,,1156,215.0,90.0,194.0,120.0,5400,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,401.0,382.0,https://pypi.org/project/pyAudioAnalysis,18649.0,18649.0,,,,,,,,3.0,,2022-02-07 22:36:53.000,19.0,,,,,,,,,,,,,,,,,,, +372,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,948,144.0,30.0,46.0,77.0,4036,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,7331.0,7142.0,https://pypi.org/project/vadersentiment,254940.0,255385.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,12930.0,,,,,2.0,,2020-05-22 15:07:00.000,189.0,,,,,,,,,,,,,,,,,,, +373,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,405,39.0,55.0,118.0,43.0,3862,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],10637.0,10531.0,https://pypi.org/project/torchsummary,126649.0,126649.0,,,,,,,,2.0,,2018-09-26 05:07:28.000,106.0,,,,,,,,,,,,,,,,,,, +374,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971,219.0,408.0,140.0,402.0,3848,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1261.0,1001.0,https://pypi.org/project/lasagne,2232.0,2232.0,,,,,,,,3.0,,2015-08-13 21:10:53.000,260.0,,,,,,,,,,,,,,,,,,, +375,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-07-20 17:47:12.000000,2023-04-06 17:07:15,247.0,,799,49.0,48.0,61.0,106.0,3694,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,15.0,28,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1297.0,1278.0,https://pypi.org/project/facenet-pytorch,29230.0,44053.0,,,,,,,,3.0,667040.0,2021-03-10 01:00:20.000,19.0,,,,,,,,,,,,,,,,,,, +376,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-07-27 13:51:50.000000,2023-07-26 02:32:14,1136.0,4.0,676,60.0,1005.0,145.0,732.0,3648,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",84.0,28,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],74.0,72.0,https://pypi.org/project/mmocr,5600.0,5600.0,,,,,,,,3.0,,2022-05-05 14:21:18.000,2.0,,,,,,,,,,,,,,,,,,, +377,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-08-31 11:34:27.000000,2023-07-28 15:49:47,1288.0,2.0,773,267.0,1429.0,256.0,507.0,3355,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,28,True,2023-05-08 19:49:25.000,0.15.2,24.0,torchtext,,,,['pytorch'],,,https://pypi.org/project/torchtext,434556.0,434556.0,,,,,,,,2.0,,,,-5.0,,,,,,,,,,,,,,,,,, +378,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-08-11 07:20:07.000000,2023-08-11 07:20:07,437.0,4.0,521,114.0,83.0,18.0,98.0,3233,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2262.0,2153.0,https://pypi.org/project/sumy,23313.0,23558.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6373.0,,,,,2.0,,2022-04-21 21:59:46.000,109.0,,,,,,,,,,,,,,,,,,, +379,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-06-16 16:13:38.456000,2022-09-18 07:45:53,376.0,,244,62.0,45.0,9.0,,3165,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",13.0,28,True,2022-09-20 04:46:27.856,4.5.0,25.0,textdistance,conda-forge/textdistance,,,,4823.0,4767.0,https://pypi.org/project/textdistance,315203.0,322313.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,447148.0,,,,,2.0,914.0,2022-09-20 04:46:27.856,56.0,,,,,,,,,,,,,,,,,,, +380,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-08-01 13:10:26.000000,2022-01-25 17:32:20,4123.0,,357,81.0,61.0,151.0,186.0,3024,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,423.0,396.0,https://pypi.org/project/aubio,3266.0,11410.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,627148.0,,,,,3.0,,2019-02-08 11:21:02.000,27.0,,,,,,,,,,,,,,,,,,, +381,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455,84.0,245.0,61.0,154.0,2981,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,160.0,158.0,https://pypi.org/project/fastnlp,20493.0,20494.0,,,,,,,,2.0,74.0,2022-10-31 14:47:34.183,2.0,,,,,,,,,,,,,,,,,,, +382,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-08-30 13:05:20.000000,2023-08-26 22:58:04,470.0,6.0,439,35.0,488.0,6.0,,2962,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,31.0,28,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,624.0,615.0,https://pypi.org/project/sahi,82356.0,85071.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,46902.0,,,,,3.0,17548.0,2022-06-25 20:18:21.000,9.0,,,,,,,,,,,,,,,,,,, +383,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-08-05 12:00:27.000000,2023-07-22 08:44:14,1017.0,21.0,226,60.0,106.0,6.0,258.0,2920,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,13.0,28,True,2023-07-22 18:36:03.000,idgear-0.3.1,21.0,vidgear,,,,,447.0,440.0,https://pypi.org/project/vidgear,36274.0,36291.0,,,,,,,,3.0,920.0,2023-07-22 18:35:14.000,7.0,,,,,,,,,,,,,,,,,,, +384,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329,68.0,167.0,164.0,112.0,2677,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,517035.0,518929.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,142057.0,,,,,2.0,,2022-05-11 09:37:12.000,90.0,,,,,,,,,,,,,,,,,,, +385,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-06-16 16:15:26.623000,2023-05-16 07:26:21,1020.0,,409,130.0,129.0,189.0,245.0,2559,PYthon svg GrAph plotting Library.,73.0,28,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,631.0,,https://pypi.org/project/pygal,110480.0,111124.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,32200.0,,,,,2.0,,2021-11-24 21:09:00.501,631.0,,,,,,,,,,,,,,,,,,, +386,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-06-16 19:20:41.396000,2022-05-25 09:55:55,1696.0,,413,45.0,347.0,32.0,333.0,2538,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,28,False,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,528.0,514.0,https://pypi.org/project/foolbox,1466.0,1783.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,11744.0,,,,,2.0,,2022-04-02 15:26:45.000,14.0,,,,,,,,,,,,,,,,,,, +387,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-08-22 11:28:33.000000,2023-08-22 11:28:30,1429.0,12.0,286,42.0,292.0,30.0,136.0,2405,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,28,True,2023-07-25 14:23:03.000,2.3.5,33.0,shapash,,,,['jupyter'],124.0,122.0,https://pypi.org/project/shapash,4336.0,4336.0,,,,,,,,2.0,,2023-07-25 14:23:03.000,2.0,,,,,,,,,,,,,,,,,,, +388,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-06-16 13:22:21.652000,2018-08-19 12:37:47,130.0,,282,66.0,58.0,26.0,39.0,2348,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],3860.0,3787.0,https://pypi.org/project/scikit-plot,430733.0,432943.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,161385.0,,,,,2.0,,2018-08-19 12:25:39.290,73.0,,,,,,,,,,,,,,,,,,, +389,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335,44.0,57.0,64.0,200.0,2287,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],238.0,232.0,https://pypi.org/project/spektral,5906.0,5906.0,,,,,,,,2.0,,2023-06-01 22:17:00.684,6.0,,,,,,,,,,,,,,,,,,, +390,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-08-31 09:39:00.000000,2023-08-28 14:22:19,471.0,37.0,421,28.0,555.0,59.0,489.0,2272,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",49.0,28,True,2023-08-29 07:29:32.000,0.7.0,27.0,anomalib,,,,,25.0,24.0,https://pypi.org/project/anomalib,13669.0,13767.0,,,,,,,,2.0,1964.0,2023-08-29 07:29:59.000,1.0,,,,,,,,,,,,,,,,,,, +391,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-08-28 03:48:24.000000,2023-08-28 03:17:39,1426.0,159.0,551,43.0,27.0,,301.0,2263,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,28,True,2023-08-05 13:13:21.000,2.2.6,110.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,365.0,365.0,,,,,,,,2.0,,2023-08-05 13:13:21.000,,,,,,,,,,,,,,,,,,,, +392,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-08-29 14:39:31.000000,2023-08-22 16:20:29,468.0,16.0,309,62.0,145.0,6.0,91.0,2041,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,28,True,2023-08-07 19:46:52.000,3.2.5,21.0,pytextrank,,,,,458.0,458.0,https://pypi.org/project/pytextrank,55112.0,55112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +393,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-08-31 07:32:35.000000,2023-08-23 04:08:35,1308.0,24.0,196,50.0,217.0,143.0,146.0,1901,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",38.0,28,True,2023-08-23 04:10:08.000,0.29.4,159.0,graphistry,,,,['jupyter'],101.0,96.0,https://pypi.org/project/graphistry,2040.0,2040.0,,,,,,,,2.0,,2023-08-23 04:10:08.000,5.0,,,,,,,,,,,,,,,,,,, +394,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-08-30 22:34:25.263000,2023-08-30 20:35:27,1039.0,36.0,185,25.0,363.0,75.0,260.0,1708,Scalable and user friendly neural forecasting algorithms.,28.0,28,True,2023-08-30 20:37:21.000,1.6.3,19.0,neuralforecast,conda-forge/neuralforecast,,,,43.0,40.0,https://pypi.org/project/neuralforecast,7173.0,7736.0,https://anaconda.org/conda-forge/neuralforecast,2023-08-30 22:34:25.263,9573.0,,,,,2.0,,2023-08-30 20:37:21.000,3.0,,,,,,,,,,,,,,,,,,, +395,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-08-31 02:22:57.000000,2023-06-20 13:16:50,391.0,5.0,151,25.0,81.0,41.0,34.0,1562,A Python package for time series classification.,14.0,28,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,471.0,452.0,https://pypi.org/project/pyts,107954.0,108893.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,20660.0,,,,,2.0,,2021-10-31 13:51:09.000,19.0,,,,,,,,,,,,,,,,,,, +396,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-08-31 14:51:07.000000,2023-08-30 01:14:33,1263.0,128.0,279,28.0,1256.0,130.0,87.0,1519,Pytorch domain library for recommendation systems.,171.0,28,True,2023-03-15 20:48:02.000,0.4.0,77.0,torchrec-nightly-cpu,,,,,60.0,60.0,https://pypi.org/project/torchrec-nightly-cpu,35.0,35.0,,,,,,,,2.0,,2022-05-12 18:55:21.000,,,,,,,,,,,,,,,,,,,, +397,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-08-24 08:07:49.000000,2023-08-16 01:33:09,1027.0,2.0,195,52.0,197.0,32.0,264.0,1468,A full spaCy pipeline and models for scientific/biomedical documents.,30.0,28,True,2023-04-29 21:23:00.503,0.5.2,13.0,scispacy,,,,,775.0,745.0,https://pypi.org/project/scispacy,56786.0,56786.0,,,,,,,,2.0,,2022-09-07 00:28:02.587,30.0,,,,,,,,,,,,,,,,,,, +398,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-08-01 19:43:38.000000,2023-08-01 19:37:56,696.0,2.0,294,43.0,346.0,69.0,186.0,1468,Training PyTorch models with differential privacy.,73.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],661.0,644.0,https://pypi.org/project/opacus,31074.0,31673.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11352.0,,,,,2.0,99.0,2022-05-06 09:43:18.000,17.0,,,,,,,,,,,,,,,,,,, +399,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-06-28 20:49:21.000000,2023-06-21 21:30:40,940.0,9.0,567,108.0,274.0,11.0,299.0,1432,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,28,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,143.0,141.0,https://pypi.org/project/tabpy,12143.0,12198.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4199.0,,,,,2.0,,2023-01-30 23:34:02.112,2.0,,,,,,,,,,,,,,,,,,, +400,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-08-14 08:44:19.000000,2023-06-04 12:33:17,1222.0,2.0,131,31.0,93.0,35.0,226.0,1400,Statistical package in Python based on Pandas.,42.0,28,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1454.0,1400.0,https://pypi.org/project/pingouin,76722.0,78578.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,103938.0,,,,,3.0,,2023-01-02 16:01:44.953,54.0,,,,,,,,,,,,,,,,,,, +401,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-08-29 18:56:09.000000,2023-08-15 11:33:25,159.0,2.0,166,34.0,71.0,18.0,49.0,1343,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,6.0,28,True,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],1327.0,1319.0,https://pypi.org/project/torchsde,1300878.0,1301472.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18421.0,,,,,2.0,,2021-07-20 07:09:56.000,8.0,,,,,,,,,,,,,,,,,,, +402,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-08-19 14:26:08.000000,2023-08-19 14:26:08,846.0,15.0,260,73.0,474.0,37.0,198.0,1214,Underthesea - Vietnamese NLP Toolkit.,17.0,28,False,2023-07-28 08:49:28.000,6.7.0,124.0,underthesea,,,,,789.0,763.0,https://pypi.org/project/underthesea,8532.0,8597.0,,,,,,,,2.0,4883.0,2023-07-28 08:49:28.000,26.0,,,,,,,,,,,,,,,,,,, +403,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-07-30 07:07:37.000000,2023-07-30 07:05:58,66.0,21.0,287,57.0,61.0,11.0,107.0,1165,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,28,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,944.0,915.0,https://pypi.org/project/stockstats,11159.0,11159.0,,,,,,,,3.0,,2023-07-30 07:07:37.000,29.0,,,,,,,,,,,,,,,,,,, +404,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-06-16 16:07:55.979000,2020-10-14 13:22:39,167.0,,336,71.0,83.0,27.0,26.0,1111,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1336.0,1193.0,https://pypi.org/project/empyrical,29122.0,29489.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,24264.0,,,,,3.0,,2020-10-13 21:29:19.000,143.0,,,,,,,,,,,,,,,,,,, +405,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-06-16 16:20:28.705000,2021-02-12 19:04:59,2079.0,,240,40.0,36.0,66.0,590.0,1094,"pyclustering is a Python, C++ data mining library.",26.0,28,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,561.0,529.0,https://pypi.org/project/pyclustering,74071.0,75361.0,https://anaconda.org/conda-forge/pyclustering,2023-06-16 16:20:28.705,56577.0,,,,,2.0,466.0,2020-11-25 22:41:20.000,32.0,,,,,,,,,,,,,,,,,,, +406,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-06-16 19:22:55.678000,2023-03-10 19:47:48,1140.0,,236,61.0,244.0,22.0,339.0,911,Search and download Copernicus Sentinel satellite images.,43.0,28,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,515.0,478.0,https://pypi.org/project/sentinelsat,12680.0,13399.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,24361.0,,,,,3.0,260.0,2017-03-06 02:33:09.000,37.0,,,,,,,,,,,,,,,,,,, +407,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185,39.0,173.0,61.0,173.0,891,A Jupyter - Three.js bridge.,30.0,28,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],90.0,26.0,https://pypi.org/project/pythreejs,76267.0,85858.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,503226.0,,,,,3.0,,2023-02-20 00:24:01.104,53.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,11.0,3807.0,,,,,,,,,,,,, +408,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,165,35.0,85.0,88.0,122.0,863,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1256.0,1232.0,https://pypi.org/project/scikit-multilearn,80793.0,80793.0,,,,,,,,2.0,,2018-12-10 16:24:47.000,24.0,,,,,,,,,,,,,,,,,,, +409,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-08-16 02:49:41.000000,2023-08-15 19:46:25,451.0,14.0,100,23.0,82.0,16.0,93.0,618,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,28,True,2023-04-21 11:05:59.132,1.9.0,38.0,tinytag,,,,,941.0,835.0,https://pypi.org/project/tinytag,17269.0,17269.0,,,,,,,,3.0,,2022-03-12 17:51:16.000,106.0,,,,,,,,,,,,,,,,,,, +410,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-08-30 07:47:17.000000,2023-08-10 16:42:09,774.0,21.0,71,29.0,341.0,110.0,221.0,514,"Simple, concise geographical visualization in Python.",29.0,28,True,2023-07-20 16:57:49.000,1.10.1,51.0,geoviews,conda-forge/geoviews,,,,782.0,748.0,https://pypi.org/project/geoviews,6410.0,11822.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,189452.0,,,,,3.0,,2023-07-20 15:18:17.000,34.0,,,,,,,,,,,,,,,,,,, +411,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-08-11 14:23:28.113587,2022-12-05 17:31:41,1886.0,,825,220.0,451.0,49.0,260.0,13890,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",47.0,27,True,2021-06-06 17:14:16.000,5.14.0,29.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,32565.0,32973.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-08-11 14:23:28.113587,14.0,20001.0,3.0,,,,,,,,,,,,,,,,,,,,,, +412,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-08-31 14:54:08.000000,2023-08-23 11:28:19,1719.0,259.0,670,92.0,1799.0,138.0,548.0,12561,Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud..,62.0,27,True,2023-08-10 21:59:43.000,1.4.1,53.0,,,,,,,,,,32.0,,,,,,,,3.0,898.0,,,,,,,,,,,,,,,,,,,,, +413,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500,131.0,51.0,155.0,141.0,7498,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],43.0,,https://pypi.org/project/efficientnet-pytorch,145399.0,225256.0,,,,,,,,2.0,3274153.0,2021-04-15 15:17:23.000,43.0,5.0,,,,,,,,,,,,,,,,,, +414,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1642,462.0,698.0,32.0,441.0,7228,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,1150.0,1169.0,,,,,,,,2.0,1617.0,2022-02-15 02:05:47.000,40.0,,,,,,,,,,,,,,,,,,, +415,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-05-28 02:16:35.000000,2023-03-29 07:02:37,553.0,,867,124.0,62.0,136.0,74.0,4939,Image augmentation library in Python for machine learning.,23.0,27,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,670.0,641.0,https://pypi.org/project/Augmentor,9874.0,9874.0,,,,,,,,3.0,,2022-04-27 09:29:23.000,29.0,,,,,,,,,,,,,,,,,,, +416,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796.0,,780,277.0,437.0,221.0,328.0,4798,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],337.0,297.0,https://pypi.org/project/edward,271.0,271.0,,,,,,,,3.0,16.0,2018-01-22 06:03:05.000,40.0,,,,,,,,,,,,,,,,,,, +417,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-08-10 11:39:31.000000,2022-08-06 21:47:18,182.0,,384,65.0,55.0,86.0,54.0,3879,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,509.0,505.0,https://pypi.org/project/layoutparser,81166.0,81166.0,,,,,,,,3.0,,2022-04-06 04:38:09.000,4.0,,,,,,,,,,,,,,,,,,, +418,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964,283.0,227.0,10.0,355.0,3858,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,383930.0,384376.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,19629.0,,,,,3.0,,2022-04-21 20:05:56.000,5.0,,,,,,,,,,,,,,,,,,, +419,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-08-30 21:56:37.000000,2023-08-30 21:55:49,1185.0,9.0,396,83.0,52.0,56.0,199.0,3181,A library of reinforcement learning components and agents.,84.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],166.0,163.0,https://pypi.org/project/dm-acme,1218.0,1441.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7389.0,,,,,2.0,,2022-02-10 06:52:27.000,3.0,,,,,,,,,,,,,,,,,,, +420,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050,218.0,3648.0,429.0,1108.0,2966,Unified and efficient Machine Learning.,248.0,27,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,1761.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,127861.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1501.0,3.0,,,,,,,,,,,,shogun,,,,,,,,,, +421,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007,167.0,214.0,42.0,146.0,2775,Performance analysis of predictive (alpha) stock factors.,25.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,660.0,642.0,https://pypi.org/project/alphalens,2236.0,2530.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19427.0,,,,,3.0,,2020-04-27 21:03:10.000,18.0,,,,,,,,,,,,,,,,,,, +422,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-08-14 00:01:16.000000,2023-08-14 00:01:16,1564.0,52.0,227,47.0,2002.0,17.0,622.0,2608,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,27,True,2023-07-05 07:59:47.000,1.1.1,24.0,towhee,,,,,,,https://pypi.org/project/towhee,3563.0,3623.0,,,,,,,,3.0,1205.0,2022-07-07 12:28:54.000,,,,,,,,,,,,,,,,,,,, +423,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-08-30 16:11:45.000000,2023-07-23 14:42:27,191.0,5.0,432,36.0,235.0,52.0,259.0,2259,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,37747.0,38011.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5298.0,,,,,2.0,,2023-07-23 13:26:57.000,11.0,,,,,,,,,,,,,,,,,,, +424,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,326,79.0,54.0,161.0,68.0,2194,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1166.0,1074.0,https://pypi.org/project/polyglot,69334.0,69334.0,,,,,,,,3.0,,2016-07-03 20:05:42.000,92.0,,,,,,,,,,,,,,,,,,, +425,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317,66.0,38.0,96.0,160.0,2164,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],345.0,321.0,https://pypi.org/project/hyperas,10827.0,10827.0,,,,,,,,2.0,,2019-02-28 09:16:54.000,24.0,,,,,,,,,,,,,,,,,,, +426,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-08-29 17:04:50.000000,2023-08-29 17:04:46,626.0,21.0,226,67.0,31.0,51.0,89.0,2077,Fast and Easy Infinite Neural Networks in Python.,26.0,27,True,2023-08-25 00:01:21.000,0.6.4,16.0,neural-tangents,,,,,78.0,78.0,https://pypi.org/project/neural-tangents,2064.0,2072.0,,,,,,,,3.0,321.0,,,,,,,,,,,,,,,,,,,,, +427,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-06-16 19:18:00.316000,2021-07-09 11:06:18,56.0,,482,40.0,23.0,66.0,38.0,2037,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],3984.0,3933.0,https://pypi.org/project/mtcnn,39413.0,39653.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10093.0,,,,,3.0,,2021-07-09 11:16:39.000,51.0,,,,,,,,,,,,,,,,,,, +428,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,28.0,237,65.0,58.0,31.0,185.0,1981,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,27,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],43.0,43.0,https://pypi.org/project/ampligraph,493.0,493.0,,,,,,,,2.0,,2021-05-25 16:47:29.000,,,,,,,,,,,,,,,,,,,, +429,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-08-09 09:26:45.000000,2023-07-11 07:11:36,210.0,5.0,222,44.0,82.0,17.0,115.0,1927,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,27,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",101.0,98.0,https://pypi.org/project/causalnex,9002.0,9002.0,,,,,,,,2.0,,2021-11-11 15:15:32.000,3.0,,,,,,,,,,,,,,,,,,, +430,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-08-30 19:54:14.000000,2023-08-30 19:54:08,827.0,25.0,429,62.0,281.0,111.0,91.0,1804,Library for training machine learning models with privacy for training data.,55.0,27,True,2023-06-28 20:10:26.996,0.8.10,28.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,16269.0,16271.0,,,,,,,,2.0,117.0,2022-10-19 20:29:02.229,14.0,,,,,,,,,,,,,,,,,,, +431,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-08-30 11:47:26.000000,2023-08-28 09:40:16,1377.0,90.0,107,29.0,91.0,19.0,20.0,1602,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2023-07-24 03:25:41.000,0.4.167,143.0,labml,,,,,104.0,98.0,https://pypi.org/project/labml,8895.0,8895.0,,,,,,,,3.0,,2023-07-24 03:25:41.000,6.0,,,,,,,,,,,,,,,,,,, +432,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-08-04 02:52:06.000000,2023-08-04 02:52:06,1364.0,4.0,304,28.0,368.0,81.0,120.0,1538,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,27,True,2023-05-18 06:27:52.000,2.2.5,20.0,pgl,,,,['paddle'],47.0,45.0,https://pypi.org/project/pgl,1158.0,1158.0,,,,,,,,2.0,,2022-08-03 07:40:41.441,2.0,,,,,,,,,,,,,,,,,,, +433,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318,74.0,742.0,54.0,168.0,1476,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,391.0,361.0,https://pypi.org/project/chainercv,2130.0,2130.0,,,,,,,,3.0,,2019-06-12 11:55:40.000,30.0,,,,,,,,,,,,,,,,,,, +434,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-05-16 13:01:43.000000,2023-05-16 13:01:43,657.0,,241,49.0,310.0,95.0,14.0,1455,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,27,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],880.0,847.0,https://pypi.org/project/mesh-tensorflow,186238.0,186238.0,,,,,,,,3.0,,2022-05-15 21:06:13.000,33.0,,,,,,,,,,,,,,,,,,, +435,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-08-22 14:21:42.000000,2023-08-22 14:21:42,580.0,119.0,302,52.0,113.0,54.0,29.0,1387,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,80.0,79.0,https://pypi.org/project/aix360,539.0,539.0,,,,,,,,2.0,,2023-07-31 18:54:38.000,1.0,,,,,,,,,,,,,,,,,,, +436,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-08-31 13:49:28.000000,2023-08-31 13:49:23,6057.0,100.0,249,47.0,2306.0,307.0,1282.0,1367,cuGraph - RAPIDS Graph Analytics Library.,103.0,27,True,2023-08-09 21:12:40.000,23.08.00,31.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,167.0,751.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,16375.0,,,,,2.0,,2020-06-01 20:09:06.000,2.0,,,,,,,,,,,,,,,,,,, +437,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-06-16 19:18:35.492000,2022-06-21 11:53:05,286.0,,233,50.0,183.0,53.0,119.0,1346,Metric learning algorithms in Python.,22.0,27,False,2020-07-02 13:02:01.780,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],304.0,292.0,https://pypi.org/project/metric-learn,11446.0,11695.0,https://anaconda.org/conda-forge/metric-learn,2023-06-16 19:18:35.492,10246.0,,,,,3.0,,2016-07-14 01:21:21.000,12.0,,,,,,,,,,,,,,,,,,, +438,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-08-29 09:18:29.000000,2023-08-29 09:18:29,515.0,3.0,396,32.0,43.0,13.0,115.0,1281,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,27,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,459.0,440.0,https://pypi.org/project/minisom,23878.0,23878.0,,,,,,,,3.0,,2022-02-25 07:49:30.000,19.0,,,,,,,,,,,,,,,,,,, +439,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,142,37.0,214.0,109.0,152.0,1180,Real-time stream processing for python.,48.0,27,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,454.0,417.0,https://pypi.org/project/streamz,17299.0,27413.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,718151.0,,,,,3.0,,2022-07-27 18:09:03.803,37.0,,,,,,,,,,,,,,,,,,, +440,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-06-06 09:46:41.000000,2023-06-06 09:46:40,415.0,2.0,319,40.0,295.0,22.0,200.0,1130,A research toolkit for particle swarm optimization in Python.,45.0,27,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,309.0,295.0,https://pypi.org/project/pyswarms,8905.0,8905.0,,,,,,,,3.0,,2021-01-03 21:34:15.000,14.0,,,,,,,,,,,,,,,,,,, +441,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-08-28 08:36:29.000000,2023-08-28 08:36:26,376.0,19.0,174,24.0,30.0,3.0,126.0,1063,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,27,True,2023-08-08 13:40:37.000,0.12.0,57.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],411.0,402.0,https://pypi.org/project/prince,49531.0,49903.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,16765.0,,,,,3.0,,2023-08-08 13:40:37.000,9.0,,,,,,,,,,,,,,,,,,, +442,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-08-26 14:10:52.000000,2023-08-26 14:09:09,765.0,23.0,105,33.0,366.0,67.0,284.0,931,BAyesian Model-Building Interface (Bambi) in Python.,33.0,27,True,2023-07-02 15:44:00.377,0.12.0,27.0,bambi,conda-forge/bambi,,,,91.0,85.0,https://pypi.org/project/bambi,18907.0,19700.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,25379.0,,,,,3.0,,2023-07-02 15:44:00.377,6.0,,,,,,,,,,,,,,,,,,, +443,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,1.0,149,49.0,56.0,21.0,65.0,807,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1230.0,1103.0,https://pypi.org/project/mahotas,8415.0,18497.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,383128.0,,,,,3.0,,2022-06-28 08:11:26.000,127.0,,,,,,,,,,,,,,,,,,, +444,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-08-29 21:07:21.000000,2023-08-08 22:52:30,15577.0,3.0,359,43.0,1595.0,278.0,2942.0,790,An open-source application for biological image analysis.,135.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,977.0,1025.0,,,,,,,,3.0,5579.0,2023-08-14 19:14:28.000,1.0,,,,,,,,,,,,,,,,,,, +445,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-08-13 04:51:14.000000,2023-08-13 04:51:13,1265.0,10.0,118,26.0,400.0,10.0,120.0,738,A Comparative Framework for Multimodal Recommender Systems.,17.0,27,True,2023-07-22 18:22:54.000,1.16.0,52.0,cornac,conda-forge/cornac,,,,187.0,171.0,https://pypi.org/project/cornac,97219.0,105584.0,https://anaconda.org/conda-forge/cornac,2023-07-25 03:34:46.928,317882.0,,,,,3.0,,2023-07-22 18:42:55.000,16.0,,,,,,,,,,,,,,,,,,, +446,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-08-28 13:24:39.000000,2023-08-28 13:24:37,2877.0,40.0,98,15.0,215.0,10.0,113.0,679,Python bindings for MPI.,25.0,27,True,2022-11-02 14:23:02.643,3.1.4,26.0,mpi4py,conda-forge/mpi4py,,,,693.0,,https://pypi.org/project/mpi4py,158637.0,184233.0,https://anaconda.org/conda-forge/mpi4py,2023-06-16 13:22:26.826,2091554.0,,,,,3.0,14704.0,2022-11-02 14:23:02.643,693.0,,,,,,,,,,,,,,,,,,, +447,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2023-08-29 19:01:51.000000,2023-08-29 19:01:49,796.0,41.0,123,28.0,81.0,27.0,75.0,551,For recording and retrieving metadata associated with ML developer and data scientist workflows.,17.0,27,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,367.0,345.0,https://pypi.org/project/ml-metadata,100028.0,100067.0,,,,,,,,3.0,2115.0,2023-08-10 00:37:12.000,22.0,,,,,,,,,,,,,,,,,,, +448,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-08-24 06:09:14.000000,2023-08-24 06:09:13,508.0,14.0,150,31.0,163.0,8.0,92.0,522,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,26.0,27,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],293.0,276.0,https://pypi.org/project/pyriemann,29595.0,29874.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,3912.0,,,,,3.0,,2022-07-17 13:53:18.565,17.0,,,,,,,,,,,,,,,,,,, +449,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,227.0,60,8.0,206.0,17.0,109.0,456,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,27,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],194.0,189.0,https://pypi.org/project/happytransformer,4411.0,4411.0,,,,,,,,3.0,,2023-08-05 22:54:02.000,5.0,,,,,,,,,,,,,,,,,,, +450,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-08-31 03:05:59.000000,2023-08-23 17:20:54,1241.0,46.0,148,20.0,672.0,23.0,208.0,453,A package built to support working with spatial data using open source python.,44.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,260.0,243.0,https://pypi.org/project/earthpy,5622.0,6919.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,67482.0,,,,,3.0,,2021-10-01 22:51:04.000,17.0,,,,,,,,,,,,,,,,,,, +451,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-06-16 19:18:37.991000,2019-12-05 08:17:22,46.0,,210,23.0,16.0,45.0,23.0,423,scikit-learn inspired API for CRFsuite.,6.0,27,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7310.0,7031.0,https://pypi.org/project/sklearn-crfsuite,373525.0,374506.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39253.0,,,,,2.0,,2017-06-22 18:49:27.000,279.0,,,,,,,,,,,,,,,,,,, +452,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-08-29 14:30:03.000000,2023-03-29 01:15:47,1614.0,,808,145.0,1556.0,114.0,125.0,7691,Trax Deep Learning with Clear Code and Speed.,78.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,121.0,120.0,https://pypi.org/project/trax,5240.0,5240.0,,,,,,,,3.0,,2021-10-26 20:29:00.538,1.0,,,,,,,,,,,,,,,,,,, +453,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-08-30 17:47:27.331000,,,,700,,,511.0,,7106,NumPy & SciPy for GPU.,257.0,26,True,2023-08-08 06:14:47.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,195.0,,https://pypi.org/project/cupy,19306.0,97806.0,https://anaconda.org/conda-forge/cupy,2023-08-30 17:47:27.331,3033771.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57642.0,3.0,,2023-08-08 06:14:47.000,195.0,,,,,,,,,,,,,,,,,,, +454,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1337,346.0,14.0,40.0,65.0,6149,Python library for processing Chinese text.,8.0,26,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1245.0,1203.0,https://pypi.org/project/snownlp,3673.0,3673.0,,,,,,,,3.0,,2015-09-27 16:35:23.000,42.0,,,,,,,,,,,,,,,,,,, +455,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-06-16 19:20:49.106000,2020-05-03 07:13:22,108.0,,583,139.0,30.0,57.0,53.0,5436,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,1.0,flashtext,conda-forge/flashtext,,,,1303.0,1303.0,https://pypi.org/project/flashtext,914947.0,915413.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,17274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +456,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982,240.0,214.0,51.0,198.0,4239,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,49.0,48.0,https://pypi.org/project/tensortrade,418.0,524.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,2983.0,,,,,3.0,,2021-05-10 18:00:35.000,1.0,,,,,,,,,,,,,,,,,,, +457,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,1.0,548,105.0,617.0,89.0,606.0,4084,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],79.0,,https://pypi.org/project/yellowbrick,396631.0,398505.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,67484.0,,,,,3.0,,2022-08-21 16:11:55.287,79.0,,,,,,,,,,,,,,,,,,, +458,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-08-25 21:44:48.000000,2023-08-07 19:43:13,445.0,8.0,263,47.0,434.0,57.0,242.0,3209,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,8569.0,9716.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,33064.0,,,,,2.0,288.0,2020-06-10 22:08:15.000,3.0,,,,,,,,,,,,,,,,,,, +459,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528,110.0,73.0,193.0,115.0,3063,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,26,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,134.0,122.0,https://pypi.org/project/xlearn,4092.0,4156.0,,,,,,,,3.0,4166.0,2018-12-04 11:05:06.000,12.0,,,,,,,,,,,,,,,,,,, +460,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-07-28 03:59:20.000000,2023-05-19 17:52:25,508.0,,811,62.0,628.0,102.0,394.0,3055,A high-performance distributed training framework for Reinforcement Learning.,41.0,26,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],117.0,116.0,https://pypi.org/project/parl,491.0,491.0,,,,,,,,3.0,,2022-05-13 04:46:41.000,1.0,,,,,,,,,,,,,,,,,,, +461,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,468,101.0,49.0,56.0,253.0,2739,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,26,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,677.0,654.0,https://pypi.org/project/neuralcoref,2748.0,3108.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14741.0,,,,,3.0,763.0,2019-04-08 09:56:00.000,23.0,,,,,,,,,,,,,,,,,,, +462,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-08-29 12:08:22.000000,2023-07-20 22:17:22,3415.0,8.0,502,112.0,331.0,385.0,645.0,2498,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,26,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,506.0,490.0,https://pypi.org/project/essentia,4423.0,4423.0,,,,,,,,3.0,,2023-01-11 14:10:02.525,16.0,,,,,,,,,,,,,,,,,,, +463,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-08-18 23:28:05.000000,2023-07-27 19:09:06,413.0,5.0,712,91.0,229.0,165.0,91.0,2115,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",66.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,305.0,293.0,https://pypi.org/project/aif360,5021.0,5214.0,https://anaconda.org/conda-forge/aif360,2023-06-16 19:22:49.476,6780.0,,,,,3.0,,2021-03-04 18:11:34.000,12.0,,,,,,,,,,,,,,,,,,, +464,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-06-16 19:27:14.287000,2022-09-28 17:12:28,249.0,,238,25.0,315.0,70.0,37.0,2111,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,True,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],657.0,656.0,https://pypi.org/project/lazypredict,31049.0,31149.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2404.0,,,,,2.0,,2022-09-28 08:51:19.531,1.0,,,,,,,,,,,,,,,,,,, +465,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463,38.0,42.0,64.0,58.0,2033,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1726.0,1712.0,https://pypi.org/project/efficientnet,49205.0,54136.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,423.0,,,,,3.0,250907.0,2020-09-15 16:26:00.000,14.0,,,,,,,,,,,,,,,,,,, +466,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160,61.0,66.0,65.0,129.0,1787,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,322.0,312.0,https://pypi.org/project/hypertools,782.0,782.0,,,,,,,,3.0,30.0,2022-02-12 02:43:24.000,10.0,,,,,,,,,,,,,,,,,,, +467,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,275,43.0,494.0,172.0,150.0,1664,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,48.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,141.0,133.0,https://pypi.org/project/petastorm,31097.0,31104.0,,,,,,,,3.0,432.0,2023-02-03 00:33:00.499,8.0,,,,,,,,,,,,,,,,,,, +468,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-08-31 11:53:18.000000,2023-08-31 11:53:17,566.0,11.0,109,52.0,437.0,60.0,101.0,1640,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,26,True,2023-07-23 13:25:31.000,1.1.9,26.0,hivemind,,,,,77.0,71.0,https://pypi.org/project/hivemind,6379.0,6379.0,,,,,,,,3.0,,2023-07-23 13:24:10.000,6.0,,,,,,,,,,,,,,,,,,, +469,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-08-30 19:54:35.000000,2023-08-30 14:46:49,643.0,116.0,239,50.0,461.0,23.0,61.0,1554,A lightweight library for PyTorch training tools and utilities.,94.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,5688.0,5688.0,,,,,,,,3.0,,2018-07-29 23:16:03.000,38.0,,,,,,,,,,,,,,,,,,, +470,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-06-16 16:17:11.586000,2023-04-20 14:53:46,460.0,,238,51.0,48.0,20.0,91.0,1527,Contextually-keyed word vectors.,19.0,26,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,294.0,281.0,https://pypi.org/project/sense2vec,1792.0,3419.0,https://anaconda.org/conda-forge/sense2vec,2023-06-16 16:17:11.586,34317.0,,,,,3.0,57411.0,2021-04-19 07:05:28.000,13.0,,,,,,,,,,,,,,,,,,, +471,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-08-27 08:50:24.000000,2023-08-27 09:50:01,1167.0,59.0,115,29.0,68.0,1.0,29.0,1418,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,26,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,14557.0,14557.0,,,,,,,,2.0,,2022-06-27 19:59:57.000,7.0,,,,,,,,,,,,,,,,,,, +472,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-08-22 06:59:11.000000,2023-06-07 07:35:59,3033.0,2.0,118,37.0,323.0,11.0,187.0,1396,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,252.0,236.0,https://pypi.org/project/pycm,35414.0,35414.0,,,,,,,,3.0,,2022-04-27 15:18:44.000,16.0,,,,,,,,,,,,,,,,,,, +473,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-06-16 19:19:31.487000,2023-06-04 07:48:29,1028.0,2.0,159,18.0,61.0,23.0,306.0,1333,PyTorch Extension Library of Optimized Scatter Operations.,27.0,26,True,2023-03-16 14:37:01.000,2.1.1,31.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],67.0,,https://pypi.org/project/torch-scatter,38802.0,44523.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-06-16 19:19:31.487,217410.0,,,,,2.0,,2022-11-24 15:04:00.671,67.0,,,,,,,,,,,,,,,,,,, +474,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-21 19:22:07.000000,2023-08-21 19:22:07,680.0,9.0,147,25.0,123.0,2.0,124.0,1254,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-05-24 15:25:03.278,1.0.0,26.0,opentsne,conda-forge/opentsne,,,,657.0,642.0,https://pypi.org/project/opentsne,22578.0,26530.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,221350.0,,,,,3.0,,2022-03-18 13:53:43.000,15.0,,,,,,,,,,,,,,,,,,, +475,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-06-16 19:24:13.607000,2023-03-22 21:16:11,666.0,,157,47.0,161.0,18.0,375.0,1239,moDel Agnostic Language for Exploration and eXplanation.,24.0,26,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,134.0,128.0,https://pypi.org/project/dalex,13393.0,13721.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10196.0,,,,,3.0,,2022-09-07 14:45:39.364,6.0,,,,,,,,,,,,,,,,,,, +476,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-06-16 19:23:39.693000,2022-12-24 01:52:28,204.0,,305,49.0,42.0,85.0,112.0,1228,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,26,True,2022-12-24 01:56:46.564,0.9.2,32.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],306.0,301.0,https://pypi.org/project/keras-ocr,11373.0,29179.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,264.0,,,,,3.0,622963.0,2022-12-24 01:56:46.564,5.0,,,,,,,,,,,,,,,,,,, +477,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,173,26.0,35.0,2.0,114.0,1187,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1451.0,1419.0,https://pypi.org/project/fancyimpute,10278.0,10278.0,,,,,,,,2.0,,2021-10-21 17:50:40.000,32.0,,,,,,,,,,,,,,,,,,, +478,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-08-01 02:39:38.000000,2023-08-01 02:37:17,4198.0,2.0,285,85.0,637.0,14.0,604.0,1183,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,26,True,2023-08-01 02:38:24.000,23.07,33.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,23486.0,29529.0,https://anaconda.org/conda-forge/pysal,2023-06-16 13:25:31.155,513714.0,,,,,3.0,,2023-08-01 02:39:38.000,36.0,,,,,,,,,,,,,,,,,,, +479,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-06-13 15:44:32.000000,2023-06-13 15:44:32,1102.0,3.0,236,39.0,66.0,51.0,203.0,1160,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-05-05 17:27:03.433,2.1.0,6.0,innvestigate,,,,['tensorflow'],109.0,107.0,https://pypi.org/project/innvestigate,643.0,649.0,,,,,,,,3.0,79.0,2023-01-31 17:36:00.641,2.0,,,,,,,,,,,,,,,,,,, +480,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2022-11-06 01:01:06.000000,2022-01-06 15:08:19,1746.0,,175,42.0,253.0,59.0,211.0,1129,Python audio and music signal processing library.,20.0,26,False,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,395.0,362.0,https://pypi.org/project/madmom,2973.0,2973.0,,,,,,,,3.0,,2018-11-14 14:56:22.000,33.0,,,,,,,,,,,,,,,,,,, +481,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-07-31 19:32:08.000000,2023-07-31 19:32:05,566.0,3.0,191,49.0,61.0,1.0,68.0,972,Training neural models with structured signals.,37.0,26,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],374.0,371.0,https://pypi.org/project/neural-structured-learning,14932.0,14932.0,,,,,,,,3.0,,2022-07-29 21:05:16.715,3.0,,,,,,,,,,,,,,,,,,, +482,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-08-30 12:03:57.000000,2023-03-06 13:54:05,3661.0,,315,69.0,672.0,37.0,516.0,796,The Classical Language Toolkit.,120.0,26,True,2021-06-10 16:34:40.000,1.0.15,66.0,cltk,,,,,245.0,245.0,https://pypi.org/project/cltk,333.0,333.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,,,, +483,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-08-31 13:43:21.000000,2023-08-28 09:07:08,754.0,19.0,53,12.0,112.0,40.0,94.0,786,Visualize large time series data with plotly.py.,11.0,26,True,2023-07-13 11:26:44.000,0.9.1,57.0,plotly-resampler,conda-forge/plotly-resampler,,,,516.0,511.0,https://pypi.org/project/plotly-resampler,413555.0,414975.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,26997.0,,,,,3.0,,2022-06-29 16:22:00.000,5.0,,,,,,,,,,,,,,,,,,, +484,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-08-31 14:06:04.236832,2023-08-31 14:04:51,1110.0,706.0,31,10.0,199.0,18.0,28.0,694,"Fastest Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java, Objective-C,..",19.0,26,True,2023-08-31 14:04:55.000,2.1.1,67.0,usearch,,unum/usearch,,,15.0,12.0,https://pypi.org/project/usearch,9711.0,12292.0,,,,https://hub.docker.com/r/unum/usearch,2023-08-31 14:06:04.236832,1.0,29.0,3.0,78.0,2023-08-30 12:19:54.000,1.0,,usearch,https://www.npmjs.com/package/usearch,2023-08-30 09:45:10.663,2.0,2551.0,,,,,,,,,,,,, +485,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-07-17 20:34:35.934000,2023-07-17 15:55:22,3693.0,63.0,66,46.0,346.0,20.0,387.0,535,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,26,False,2023-07-17 16:04:04.000,4.0.0,68.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,538.0,1032.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,10392.0,,,,,3.0,13.0,2023-01-19 17:28:00.723,18.0,,,,,,,,,,,,,,,,,,, +486,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-06-16 13:14:39.735000,2023-06-05 21:59:57,217.0,1.0,52,14.0,194.0,9.0,184.0,274,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,26,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,1794175.0,1828765.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2663448.0,,,,,3.0,,2023-04-23 19:42:01.507,259.0,,,,,,,,,,,,,,,,,,, +487,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-08-21 13:32:43.000000,2023-08-21 13:25:43,4037.0,14.0,48,14.0,705.0,217.0,202.0,263,Asynchronous Distributed Hyperparameter Optimization.,32.0,26,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,100.0,92.0,https://pypi.org/project/orion,2903.0,2903.0,,,,,,,,2.0,,2022-08-22 17:10:40.826,8.0,,,,,,,,,,,,,,,,,,, +488,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606,147.0,1362.0,118.0,985.0,7955,Production infrastructure for machine learning at scale.,24.0,25,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,8960.0,8960.0,,,,,,,,2.0,,2022-09-23 17:40:01.770,1.0,,,,,,,,,,,,,,,,,,, +489,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2022-09-22 23:59:19.000000,2022-09-22 23:59:07,1084.0,,979,185.0,325.0,334.0,292.0,5745,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,True,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,114.0,111.0,https://pypi.org/project/mmdnn,389.0,442.0,,,,,,,,2.0,3679.0,2020-07-24 06:34:39.000,3.0,,,,,,,,,,,,,,,,,,, +490,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-08-26 09:00:52.000000,2023-08-15 16:56:21,592.0,2.0,728,107.0,580.0,105.0,344.0,5437,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,25,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,180257.0,180257.0,,,,,,,,3.0,,2021-10-18 13:55:26.000,2.0,,,,,,,,,,,,,,,,,,, +491,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-08-25 22:35:13.000000,2023-08-25 22:18:03,209.0,3.0,282,64.0,176.0,19.0,54.0,4800,"A data augmentations library for audio, image, text, and video.",32.0,25,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,81.0,78.0,https://pypi.org/project/augly,2022.0,2022.0,,,,,,,,3.0,,2022-03-28 13:29:26.000,3.0,,,,,,,,,,,,,,,,,,, +492,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-07-31 14:15:16.000000,2023-04-28 16:55:30,521.0,,419,60.0,87.0,48.0,87.0,4670,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],62.0,57.0,https://pypi.org/project/imagededup,1515.0,1515.0,,,,,,,,3.0,,2023-04-28 17:29:01.612,5.0,,,,,,,,,,,,,,,,,,, +493,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-08-31 13:43:22.000000,2023-08-31 13:28:23,3233.0,96.0,593,91.0,3567.0,275.0,1218.0,4575,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-08-24 13:24:42.000,1.29.0,69.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +494,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658,160.0,130.0,83.0,101.0,4567,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],744.0,738.0,https://pypi.org/project/lucid,690.0,690.0,,,,,,,,3.0,,2021-03-19 16:01:00.000,6.0,,,,,,,,,,,,,,,,,,, +495,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,983,97.0,62.0,246.0,267.0,4398,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,19493.0,19493.0,,,,,,,,3.0,,2020-01-10 11:36:02.000,28.0,,,,,,,,,,,,,,,,,,, +496,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,395,40.0,49.0,72.0,173.0,3698,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,72.0,70.0,https://pypi.org/project/openprompt,2583.0,2583.0,,,,,,,,3.0,,2022-07-06 14:27:42.000,2.0,,,,,,,,,,,,,,,,,,, +497,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-08-23 08:50:26.000000,2023-08-23 08:47:21,208.0,1.0,306,86.0,90.0,48.0,31.0,3379,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-08-23 08:50:26.000,4.0.4,24.0,chartify,conda-forge/chartify,,,,83.0,73.0,https://pypi.org/project/chartify,2025.0,2518.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,28121.0,,,,,3.0,,2023-08-23 08:50:26.000,10.0,,,,,,,,,,,,,,,,,,, +498,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-08-26 21:34:27.000000,2023-08-26 20:55:56,177.0,3.0,354,166.0,79.0,87.0,99.0,2981,A deep learning library for video understanding research.,54.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,55583.0,55583.0,,,,,,,,3.0,,2022-01-20 00:16:35.000,7.0,,,,,,,,,,,,,,,,,,, +499,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-08-30 06:33:19.000000,2023-08-30 06:33:19,4235.0,12.0,525,43.0,972.0,143.0,639.0,2801,"A unified, comprehensive and efficient recommendation library.",65.0,25,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2095.0,2204.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,3625.0,,,,,3.0,,2022-02-25 07:32:53.000,2.0,,,,,,,,,,,,,,,,,,, +500,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,215,65.0,42.0,17.0,23.0,2640,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,731.0,726.0,https://pypi.org/project/knockknock,43902.0,44197.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13579.0,,,,,3.0,,2020-03-16 14:30:23.000,5.0,,,,,,,,,,,,,,,,,,, +501,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-07-14 08:49:11.000000,2023-07-03 11:44:54,1294.0,1.0,313,94.0,2150.0,206.0,982.0,2635,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",51.0,25,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,114097.0,114097.0,,,,,,,,3.0,,2022-06-12 11:43:21.000,1.0,,,,,,,,,,,,,,,,,,, +502,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,1.0,299,65.0,315.0,38.0,123.0,2597,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],43.0,42.0,https://pypi.org/project/ddsp,1727.0,2104.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14339.0,,,,,3.0,,2022-05-25 17:42:19.000,1.0,,,,,,,,,,,,,,,,,,, +503,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-07-19 07:53:13.000000,2023-07-19 07:40:10,212.0,8.0,126,29.0,196.0,19.0,73.0,2538,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,314.0,299.0,https://pypi.org/project/hiplot,22659.0,26357.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,155342.0,,,,,3.0,,2022-07-05 08:51:12.000,15.0,,,,,,,,,,,,,,,,,,, +504,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,705,167.0,94.0,134.0,358.0,2434,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,116.0,116.0,,,,,,,,3.0,,2018-11-11 16:46:28.000,2.0,,,,,,,,,,,,,,,,,,, +505,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,605,91.0,29.0,23.0,51.0,2268,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,578.0,399.0,https://pypi.org/project/python_speech_features,110666.0,110666.0,,,,,,,,3.0,,2017-08-16 01:46:13.000,179.0,,,,,,,,,,,,,,,,,,, +506,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,4.0,257,58.0,56.0,19.0,50.0,2190,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],579.0,560.0,https://pypi.org/project/pytorch-nlp,6605.0,6605.0,,,,,,,,3.0,,2019-11-04 04:35:18.000,19.0,,,,,,,,,,,,,,,,,,, +507,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-07-06 21:17:27.000000,2023-07-01 21:40:58,1936.0,4.0,310,38.0,80.0,13.0,155.0,2186,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,1928.0,1928.0,,,,,,,,2.0,,2022-09-04 16:10:00.738,4.0,,,,,,,,,,,,,,,,,,, +508,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-06-16 13:23:09.869000,2023-05-06 19:23:59,384.0,,276,57.0,14.0,21.0,78.0,2130,Beautiful visualizations of how language differs among document types.,14.0,25,True,2017-03-13 05:31:21.000,0.0.2.4.4,18.0,scattertext,conda-forge/scattertext,,,,423.0,423.0,https://pypi.org/project/scattertext,10030.0,11188.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,83425.0,,,,,3.0,,,,-2.0,,,,,,,,,,,,,,,,,, +509,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,238,71.0,20.0,92.0,66.0,2045,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,266.0,250.0,https://pypi.org/project/pyflux,88784.0,88784.0,,,,,,,,3.0,,2017-11-21 16:27:06.000,16.0,,,,,,,,,,,,,,,,,,, +510,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,2.0,84,41.0,47.0,11.0,74.0,2016,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,51612.0,51612.0,,,,,,,,3.0,,2022-01-04 16:11:51.000,55.0,4.0,,,,,,,,,,,,,,,,,, +511,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-08-31 01:52:24.000000,2023-06-01 12:18:23,739.0,,320,42.0,42.0,94.0,56.0,2001,A modular active learning framework for Python.,20.0,25,True,2023-08-31 01:52:24.000,0.51.3271,184.0,modAL,,,,['sklearn'],15.0,13.0,https://pypi.org/project/modAL,31972.0,31972.0,,,,,,,,3.0,26.0,2023-08-31 01:52:24.000,2.0,,,,,,,,,,,,,,,,,,, +512,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-07-11 19:58:44.000000,2022-08-12 15:43:09,249.0,,191,30.0,59.0,35.0,82.0,1939,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,13.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],280.0,273.0,https://pypi.org/project/checklist,3278.0,3479.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6240.0,,,,,3.0,,2021-05-24 16:45:59.000,7.0,,,,,,,,,,,,,,,,,,, +513,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-08-28 11:48:24.000000,2023-05-15 21:21:45,660.0,,190,35.0,132.0,6.0,125.0,1915,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,132.0,129.0,https://pypi.org/project/norfair,6564.0,6571.0,,,,,,,,3.0,276.0,2022-05-30 21:14:58.000,3.0,,,,,,,,,,,,,,,,,,, +514,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2023-06-16 16:11:52.180000,2023-05-26 18:23:37,117.0,,228,44.0,36.0,45.0,21.0,1798,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],419.0,397.0,https://pypi.org/project/MulticoreTSNE,25237.0,25711.0,https://anaconda.org/conda-forge/multicore-tsne,2023-06-16 16:11:52.180,27046.0,,,,,3.0,,2019-01-09 07:23:04.000,22.0,,,,,,,,,,,,,,,,,,, +515,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,294,56.0,1313.0,233.0,810.0,1726,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],89.0,87.0,https://pypi.org/project/garage,406.0,406.0,,,,,,,,3.0,,2021-03-23 22:18:36.000,2.0,,,,,,,,,,,,,,,,,,, +516,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-08-24 17:27:15.000000,2023-04-11 16:36:03,155.0,,162,97.0,183.0,39.0,24.0,1456,fklearn: Functional Machine Learning.,53.0,25,True,2023-08-16 12:44:32.000,2.4.0,30.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2568.0,2568.0,,,,,,,,3.0,,2023-08-16 12:44:32.000,,,,,,,,,,,,,,,,,,,, +517,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-07-10 07:40:43.547000,2022-12-07 10:32:49,237.0,,256,1.0,1.0,1.0,,1431,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-06-08 06:36:00.958,1.6.1,37.0,feature_engine,conda-forge/feature_engine,,,,68.0,,https://pypi.org/project/feature_engine,166766.0,167827.0,https://anaconda.org/conda-forge/feature_engine,2023-07-10 07:40:43.547,38223.0,,,,,3.0,,2022-11-22 11:29:10.203,68.0,,,,,,,,,,,,,,,,,,, +518,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,2.0,248,50.0,86.0,21.0,188.0,1399,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],440.0,427.0,https://pypi.org/project/gplearn,4659.0,4814.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,5924.0,,,,,3.0,,2022-05-03 10:47:30.000,13.0,,,,,,,,,,,,,,,,,,, +519,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-08-28 07:55:28.000000,2023-08-24 20:05:20,2799.0,5.0,167,27.0,648.0,109.0,419.0,1323,A Python library for learning and evaluating knowledge graph embeddings.,36.0,25,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,4032.0,4036.0,,,,,,,,2.0,175.0,2023-02-22 18:29:02.145,5.0,,,,,,,,,,,,,,,,,,, +520,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142,29.0,63.0,7.0,70.0,1258,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1172.0,1159.0,https://pypi.org/project/livelossplot,16233.0,16233.0,,,,,,,,3.0,,2022-04-04 16:14:08.000,13.0,,,,,,,,,,,,,,,,,,, +521,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-08-15 12:49:01.000000,2023-08-15 12:48:55,206.0,7.0,76,33.0,106.0,12.0,18.0,1084,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],159.0,157.0,https://pypi.org/project/rlax,183036.0,183036.0,,,,,,,,3.0,,2023-01-09 22:29:35.947,2.0,,,,,,,,,,,,,,,,,,, +522,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-08-24 11:15:37.000000,2023-07-18 19:07:12,454.0,2.0,100,22.0,301.0,30.0,244.0,1053,Extra blocks for scikit-learn pipelines.,58.0,25,True,2023-07-18 19:07:59.000,0.6.15,41.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],114.0,107.0,https://pypi.org/project/scikit-lego,36180.0,37261.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,42173.0,,,,,3.0,,2023-07-18 19:02:01.000,7.0,,,,,,,,,,,,,,,,,,, +523,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-08-16 14:00:45.000000,2023-08-16 14:00:41,129.0,2.0,105,22.0,92.0,33.0,71.0,933,Python 3.6+ toolbox for submitting jobs to Slurm.,23.0,25,True,2022-07-20 17:19:06.753,1.4.5,20.0,submitit,conda-forge/submitit,,,,1523.0,1513.0,https://pypi.org/project/submitit,148380.0,149139.0,https://anaconda.org/conda-forge/submitit,2023-06-16 19:21:24.805,27335.0,,,,,3.0,,2022-07-20 17:19:06.753,10.0,,,,,,,,,,,,,,,,,,, +524,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-08-29 13:48:53.000000,2023-08-28 23:25:36,1707.0,77.0,337,56.0,423.0,139.0,238.0,907,Machine learning on FPGAs using HLS.,55.0,25,True,2023-05-13 15:59:00.678,0.7.1,13.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,473.0,662.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6632.0,,,,,2.0,,2021-11-12 12:26:50.000,,,,,,,,,,,,,,,,,,,, +525,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-08-24 11:31:38.000000,2023-08-01 13:02:51,2070.0,1.0,195,43.0,577.0,72.0,424.0,891,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,41.0,,https://pypi.org/project/smac,29088.0,29645.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,16158.0,,,,,2.0,,2023-08-01 13:30:07.000,41.0,,,,,,,,,,,,,,,,,,, +526,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,252,42.0,72.0,103.0,188.0,885,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,491.0,453.0,https://pypi.org/project/gpyopt,7351.0,7351.0,,,,,,,,2.0,,2020-03-19 11:37:45.000,38.0,,,,,,,,,,,,,,,,,,, +527,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-07-19 11:19:26.000000,2023-07-19 11:19:26,724.0,4.0,140,15.0,97.0,29.0,220.0,860,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,25,True,2023-03-22 14:14:00.495,0.6.17,30.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],59.0,,https://pypi.org/project/torch-sparse,22881.0,28903.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,228843.0,,,,,3.0,,2022-12-22 14:51:10.764,59.0,,,,,,,,,,,,,,,,,,, +528,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-08-31 14:16:03.000000,2023-08-31 14:03:52,870.0,870.0,40,11.0,30.0,101.0,114.0,839,"lightweight package to simplify LLM API calls - Azure, OpenAI, Cohere, Anthropic, Replicate. Manages input/output..",12.0,25,True,2023-08-31 02:27:06.000,0.1.509,160.0,litellm,,,,others,41.0,38.0,https://pypi.org/project/litellm,15581.0,15581.0,,,,,,,,3.0,,2023-08-31 14:16:03.000,3.0,,,,,,,,,,,,,,,,,,, +529,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,116.0,77,14.0,77.0,216.0,218.0,814,"Experiment tracking, ML developer tools.",29.0,25,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,81.0,81.0,https://pypi.org/project/guildai,670.0,670.0,,,,,,,,3.0,14.0,2022-05-11 01:13:31.000,,,,,,,,,,,,,,,,,,,, +530,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-08-29 01:20:50.000000,2023-08-29 01:20:48,211.0,10.0,80,21.0,147.0,25.0,78.0,776,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-07-13 22:05:31.243,1.8.0,17.0,baal,conda-forge/baal,,,,52.0,51.0,https://pypi.org/project/baal,1059.0,1278.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,6809.0,,,,,3.0,,2022-05-03 12:50:00.000,1.0,,,,,,,,,,,,,,,,,,, +531,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-08-27 21:28:19.000000,2023-03-24 08:30:46,549.0,,93,19.0,184.0,93.0,131.0,583,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,1518766.0,1518904.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,15784.0,2023-02-15 15:39:00.786,169.0,,,,,,,,,,,,,,,,,,, +532,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72,9.0,17.0,11.0,12.0,491,Find pyspark to make it importable.,15.0,25,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],3875.0,3714.0,https://pypi.org/project/findspark,2039843.0,2049718.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,849326.0,,,,,3.0,,2022-02-11 08:02:06.000,161.0,,,,,,,,,,,,,,,,,,, +533,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-07-29 23:53:20.000000,2022-01-15 18:08:37,1718.0,,57,13.0,11.0,31.0,5.0,447,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3683.0,,https://pypi.org/project/whoosh,218741.0,221162.0,https://anaconda.org/conda-forge/whoosh,2023-06-16 13:17:46.809,198588.0,,,,,3.0,,2016-04-04 01:19:40.000,3683.0,,,,,,,,,,,,,,,,,,, +534,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-05-03 06:31:14.000000,2022-12-22 21:34:29,574.0,,84,29.0,313.0,75.0,27.0,356,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,25,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],295.0,288.0,https://pypi.org/project/tensorflow-cloud,69432.0,69432.0,,,,,,,,3.0,,2021-06-17 01:15:10.000,7.0,,,,,,,,,,,,,,,,,,, +535,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-06-16 19:18:14.535000,2023-03-05 05:31:37,737.0,,79,13.0,28.0,9.0,44.0,321,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,25,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,325.0,305.0,https://pypi.org/project/pymap3d,59826.0,61245.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,58190.0,,,,,3.0,,2023-03-05 05:35:05.094,20.0,,,,,,,,,,,,,,,,,,, +536,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-07-20 13:12:55.000000,,,,3827,,,132.0,,22890,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,24,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,16772.0,16859.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2183.0,,,,,3.0,,2020-12-19 10:05:12.000,43.0,-10.0,,,,,,,,,,,,,,,,,, +537,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1079,178.0,212.0,17.0,533.0,7872,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,24,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,11.0,11.0,,,213.0,,,,,,,,3.0,6620.0,,,,,,,,,,,,,,,,,,,,, +538,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749,138.0,43.0,141.0,98.0,4921,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1111.0,1095.0,https://pypi.org/project/textgenrnn,928.0,941.0,,,,,,,,3.0,881.0,2020-02-02 21:16:15.000,16.0,,,,,,,,,,,,,,,,,,, +539,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-06-10 15:03:11.000000,2023-02-19 16:29:00,327.0,,892,45.0,28.0,61.0,110.0,4358,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,24,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],146.0,138.0,https://pypi.org/project/scikit-opt,2957.0,2957.0,,,,,,,,3.0,,2022-01-14 08:49:08.000,8.0,,,,,,,,,,,,,,,,,,, +540,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-07-17 20:51:30.000000,2023-03-05 22:07:59,1158.0,,1370,352.0,57.0,51.0,,4110,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,188.0,167.0,https://pypi.org/project/pyalgotrade,514.0,514.0,,,,,,,,3.0,,2018-08-21 01:48:25.000,21.0,,,,,,,,,,,,,,,,,,, +541,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,713,66.0,247.0,124.0,822.0,3888,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,True,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,5476.0,5476.0,,,,,,,,3.0,,2021-04-06 12:38:10.521,35.0,,,,,,,,,,,,,,,,,,, +542,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2023-08-25 23:29:22.000000,2023-08-25 22:31:20,169.0,2.0,432,92.0,78.0,55.0,137.0,3280,Generate embeddings from large-scale graph-structured data.,30.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,338259.0,338262.0,,,,,,,,2.0,163.0,2019-05-01 21:31:13.000,3.0,,,,,,,,,,,,,,,,,,, +543,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-08-30 15:32:25.000000,2022-03-16 17:52:29,715.0,,214,55.0,32.0,67.0,120.0,3015,A GUI for Pandas DataFrames.,13.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],282.0,277.0,https://pypi.org/project/pandasgui,3472.0,4112.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,19862.0,,,,,3.0,,2021-08-14 09:14:51.000,5.0,,,,,,,,,,,,,,,,,,, +544,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679,72.0,25.0,117.0,101.0,2966,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2828.0,2799.0,https://pypi.org/project/keras-vis,1026.0,1026.0,,,,,,,,3.0,,2017-04-02 03:54:58.000,29.0,,,,,,,,,,,,,,,,,,, +545,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-08-11 21:56:51.000000,2023-02-28 07:05:02,2087.0,,674,163.0,60.0,7.0,639.0,2888,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,24,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,905.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,56116.0,,,,,3.0,4676.0,,,,,,,,,,,,,,,,,,,,, +546,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-18 16:45:36.000000,2022-10-05 16:26:03,376.0,,216,48.0,480.0,45.0,70.0,2601,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,24,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,155.0,152.0,https://pypi.org/project/m2cgen,11970.0,11971.0,,,,,,,,3.0,54.0,2022-04-26 01:24:34.000,3.0,,,,,,,,,,,,,,,,,,, +547,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-08-24 15:34:13.000000,2023-08-24 15:33:37,935.0,4.0,159,19.0,72.0,85.0,164.0,2599,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,29.0,28.0,https://pypi.org/project/ffcv,847.0,847.0,,,,,,,,3.0,,2022-01-28 20:40:22.000,1.0,,,,,,,,,,,,,,,,,,, +548,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-07-06 00:49:19.000000,2023-07-06 00:49:11,3451.0,4.0,727,108.0,3868.0,533.0,855.0,2579,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,24,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,1029.0,1029.0,,,,,,,,3.0,,2022-07-07 07:51:54.000,1.0,,,,,,,,,,,,,,,,,,, +549,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,291,66.0,14.0,26.0,46.0,2128,Stand-alone language identification system.,9.0,24,False,,,,langid,,,,,7160.0,7160.0,https://pypi.org/project/langid,356044.0,356044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +550,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-07-27 17:48:45.000000,2023-07-27 17:48:45,753.0,1.0,283,28.0,693.0,49.0,141.0,2076,"Toolkit for creating, sharing and using natural language prompts.",64.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,55.0,54.0,https://pypi.org/project/promptsource,5334.0,5334.0,,,,,,,,3.0,,2022-04-18 22:31:03.000,1.0,,,,,,,,,,,,,,,,,,, +551,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,231,45.0,33.0,48.0,90.0,1844,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],142.0,142.0,https://pypi.org/project/torchmeta,2975.0,2975.0,,,,,,,,3.0,,2021-09-20 16:06:33.000,,,,,,,,,,,,,,,,,,,, +552,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-06-18 08:40:35.691000,2023-01-29 22:01:19,871.0,,124,34.0,406.0,65.0,325.0,1706,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,35.0,34.0,https://pypi.org/project/orbit-ml,122745.0,122962.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4137.0,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +553,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,114,39.0,11.0,32.0,51.0,1601,"A fast, efficient universal vector embedding utility package.",4.0,24,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,325.0,312.0,https://pypi.org/project/pymagnitude,3938.0,3938.0,,,,,,,,3.0,,2020-05-25 11:26:36.000,13.0,,,,,,,,,,,,,,,,,,, +554,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,265,28.0,182.0,9.0,389.0,1593,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,True,2022-05-28 10:07:13.000,1.3,15.0,talos,,,,['tensorflow'],165.0,165.0,https://pypi.org/project/talos,1234.0,1234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +555,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-08-30 04:38:44.000000,2023-07-20 16:32:55,1068.0,24.0,246,33.0,35.0,20.0,165.0,1581,A library for graph deep learning research.,47.0,24,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,298.0,298.0,,,,,,,,2.0,,2015-08-23 10:30:20.000,8.0,,,,,,,,,,,,,,,,,,, +556,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,285,46.0,801.0,69.0,485.0,1550,jiant is an nlp toolkit.,60.0,24,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,191.0,191.0,,,,,,,,3.0,,2021-05-10 18:56:39.000,,,,,,,,,,,,,,,,,,,, +557,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,407,91.0,165.0,103.0,224.0,1338,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,55.0,55.0,,,,,,,,3.0,,2019-10-10 10:59:33.000,1.0,,,,,,,,,,,,,,,,,,, +558,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-05-09 08:45:29.000000,2023-02-08 02:25:50,604.0,,200,53.0,455.0,139.0,291.0,1147,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,332.0,332.0,,,,,,,,3.0,,2022-11-16 09:12:55.841,9.0,,,,,,,,,,,,,,,,,,, +559,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-08-30 20:10:49.000000,2023-08-30 20:10:49,690.0,42.0,167,18.0,234.0,64.0,92.0,1142,Generate Diverse Counterfactual Explanations for any machine learning model.,18.0,24,True,2023-06-26 15:48:01.000,0.10,11.0,dice-ml,,,,"['tensorflow', 'pytorch']",5.0,,https://pypi.org/project/dice-ml,110508.0,110508.0,,,,,,,,3.0,,2022-06-02 13:40:03.000,5.0,,,,,,,,,,,,,,,,,,, +560,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223,73.0,415.0,75.0,147.0,1124,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,163.0,153.0,https://pypi.org/project/chainerrl,359.0,359.0,,,,,,,,3.0,,2020-02-14 05:35:56.000,10.0,,,,,,,,,,,,,,,,,,, +561,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,1.0,226,20.0,16.0,3.0,87.0,1110,Implementation of the node2vec algorithm.,12.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,469.0,451.0,https://pypi.org/project/node2vec,80462.0,80881.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26404.0,,,,,2.0,,2022-08-01 11:35:00.616,18.0,,,,,,,,,,,,,,,,,,, +562,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-08-22 10:40:48.000000,2023-08-15 16:05:04,507.0,38.0,156,33.0,86.0,16.0,32.0,1042,"A program for financial portfolio management, analysis and optimisation.",11.0,24,True,2023-08-17 08:46:10.000,0.6.2,14.0,FinQuant,,,,,79.0,79.0,https://pypi.org/project/FinQuant,866.0,866.0,,,,,,,,3.0,,2023-08-17 08:46:10.000,,,,,,,,,,,,,,,,,,,, +563,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-08-08 04:48:48.000000,2023-08-08 04:48:48,405.0,4.0,184,34.0,71.0,3.0,86.0,1026,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],198.0,189.0,https://pypi.org/project/keract,4343.0,4343.0,,,,,,,,3.0,,2022-09-25 14:40:40.377,9.0,,,,,,,,,,,,,,,,,,, +564,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-08-31 02:40:48.000000,2023-08-29 18:30:36,1704.0,349.0,72,18.0,568.0,56.0,126.0,947,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,24,False,2023-08-18 22:37:59.000,0.201.0,51.0,metricflow,,,,,12.0,9.0,https://pypi.org/project/metricflow,4384.0,4384.0,,,,,,,,3.0,,2023-08-29 18:35:01.000,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,, +565,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,,171,48.0,111.0,51.0,170.0,943,Python interface to GPU-powered libraries.,43.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,312.0,263.0,https://pypi.org/project/scikit-cuda,509.0,509.0,,,,,,,,3.0,,2019-05-27 00:29:00.000,49.0,,,,,,,,,,,,,,,,,,, +566,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107,26.0,36.0,34.0,69.0,862,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],519.0,507.0,https://pypi.org/project/pandas-bokeh,26219.0,26219.0,,,,,,,,3.0,,2021-04-11 17:43:13.000,12.0,,,,,,,,,,,,,,,,,,, +567,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-08-31 14:39:27.000000,2023-08-31 14:31:31,1224.0,255.0,53,13.0,308.0,18.0,360.0,785,"Train and deploy LLM models in multiple clouds (AWS, GCP, Azure, Lambda, etc).",13.0,24,True,2023-08-22 11:13:01.000,0.11,138.0,dstack,,,,,11.0,11.0,https://pypi.org/project/dstack,1072.0,1072.0,,,,,,,,3.0,,2023-08-31 14:39:27.000,,,,,,,,,,,,,,,,,,,, +568,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,146,25.0,154.0,73.0,137.0,754,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,5491.0,10774.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,307018.0,,,,,3.0,,2019-07-21 08:49:39.000,44.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,2.0,1190.0,,,,,,,,,,,,, +569,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,160,33.0,25.0,33.0,235.0,742,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,29.0,neupy,,,,,152.0,152.0,https://pypi.org/project/neupy,1774.0,1774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +570,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-08-23 07:53:53.000000,2023-08-22 10:38:02,306.0,15.0,129,19.0,72.0,5.0,61.0,718,An intuitive library to extract features from time series.,18.0,24,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,92.0,92.0,https://pypi.org/project/tsfel,22940.0,22940.0,,,,,,,,3.0,,2023-08-22 10:46:05.000,,,,,,,,,,,,,,,,,,,, +571,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,69,11.0,48.0,19.0,52.0,643,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,24,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,850.0,850.0,https://pypi.org/project/pysbd,141825.0,142019.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4279.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +572,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-08-28 15:32:25.000000,2023-08-28 15:29:26,354.0,25.0,113,19.0,77.0,24.0,32.0,638,Working with molecular structures in pandas DataFrames.,14.0,24,True,2023-08-28 15:31:05.000,0.5.1de,19.0,biopandas,conda-forge/biopandas,,,['pandas'],220.0,197.0,https://pypi.org/project/biopandas,7111.0,8907.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,143692.0,,,,,3.0,,2023-08-28 15:32:25.000,23.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,, +573,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-08-26 16:50:18.000000,2023-05-08 16:18:21,133.0,,71,22.0,50.0,35.0,30.0,507,pyspark methods to enhance developer productivity.,16.0,24,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],74.0,68.0,https://pypi.org/project/quinn,818602.0,818602.0,,,,,,,,3.0,9.0,2023-02-17 21:54:00.812,6.0,,,,,,,,,,,,,,,,,,, +574,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-08-31 12:28:14.000000,2023-08-26 23:00:01,931.0,13.0,159,25.0,799.0,80.0,373.0,448,MONAI Label is an intelligent open source image labeling and learning tool.,51.0,24,True,2023-06-10 01:10:23.000,0.7.0,109.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,770.0,3214.0,,,,,,,,3.0,61100.0,2023-08-27 02:20:37.000,,,,,,,,,,,,,,,,,,,, +575,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-08-28 03:16:59.000000,2023-08-28 03:16:59,643.0,7.0,62,31.0,405.0,13.0,91.0,360,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],85.0,2.0,https://pypi.org/project/vega,8895.0,15482.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,566483.0,,,,,3.0,,2022-02-10 02:01:39.000,83.0,,,,,,,,,,,,,,,,,,, +576,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-07-16 11:29:31.000000,2023-07-16 11:29:26,153.0,7.0,46,17.0,2.0,9.0,3.0,354,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,24,True,2023-07-16 11:35:00.418,0.0.9,10.0,suod,,,,,490.0,488.0,https://pypi.org/project/suod,67734.0,67734.0,,,,,,,,3.0,,2021-10-01 18:05:35.000,2.0,,,,,,,,,,,,,,,,,,, +577,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-06-16 13:21:17.395000,2023-04-05 19:40:24,6447.0,,132,37.0,349.0,45.0,113.0,349,Neuroimaging in Python FMRI analysis package.,66.0,24,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,50.0,,https://pypi.org/project/nipy,1764.0,3206.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105302.0,,,,,3.0,,2021-03-29 16:34:34.000,50.0,,,,,,,,,,,,,,,,,,, +578,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-08-02 20:38:12.000000,2023-08-02 20:38:11,503.0,4.0,52,40.0,247.0,16.0,59.0,290,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-03-02 11:48:00.895,1.2.2,69.0,gokart,,,,,75.0,70.0,https://pypi.org/project/gokart,1513.0,1513.0,,,,,,,,3.0,,2022-11-01 06:28:00.638,5.0,,,,,,,,,,,,,,,,,,, +579,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-06-18 08:40:31.986000,2023-02-15 20:15:59,196.0,,474,81.0,36.0,51.0,26.0,10054,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,23,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,35.0,35.0,https://pypi.org/project/prettymaps,2223.0,2327.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,1979.0,,,,,3.0,,2021-10-19 13:33:43.000,,,,,,,,,,,,,,,,,,,, +580,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-08-10 18:27:37.000000,2023-06-18 10:37:26,755.0,6.0,647,99.0,150.0,96.0,103.0,8284,The next-generation platform to monitor and optimize your AI costs in one place.,39.0,23,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,534.0,534.0,,,,,,,,3.0,,2023-06-18 11:03:00.511,2.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,, +581,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379,264.0,68.0,115.0,132.0,6112,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,14.0,11.0,https://pypi.org/project/PyDejavu,94.0,94.0,,,,,,,,3.0,,2015-04-19 21:20:16.000,3.0,,,,,,,,,,,,,,,,,,, +582,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-08-11 20:26:10.000000,2023-07-11 06:18:50,1090.0,1.0,881,117.0,674.0,238.0,540.0,5300,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,115.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,340.0,340.0,,,,,,,,3.0,,2020-06-12 22:15:02.000,1.0,,,,,,,,,,,,,,,,,,, +583,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273,308.0,204.0,67.0,205.0,4481,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,True,,,,,,shadowreaver/crypto-signal,,,,,,,2013.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,142973.0,3.0,,,,,,,,,,,,,,,,,,,,,, +584,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-31 14:28:44.000000,2023-08-11 13:10:00,1487.0,55.0,770,145.0,1379.0,308.0,393.0,4371,Simple and Distributed Machine Learning.,112.0,23,True,2023-07-10 22:45:30.000,0.11.2,31.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2.0,2.0,,,,,,,,3.0,,2020-03-18 01:27:31.000,,,,,,,,,,,,,,,,,,,, +585,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824,335.0,89.0,91.0,306.0,3864,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,63.0,87.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1767.0,,,,,3.0,366.0,2018-01-05 23:25:04.000,1.0,,,,,,,,,,,,,,,,,,, +586,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,507,139.0,649.0,66.0,197.0,3828,Snips Python library to extract meaning from text.,22.0,23,False,2020-01-15 09:51:41.000,0.20.2,58.0,snips-nlu,,,,,,,https://pypi.org/project/snips-nlu,1723.0,1723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +587,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,894,176.0,385.0,33.0,430.0,3783,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,23,False,2019-10-09 19:24:22.000,2.2,2.0,matchzoo,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/matchzoo,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +588,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,529,175.0,49.0,64.0,49.0,3457,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],56.0,53.0,https://pypi.org/project/adanet,142.0,142.0,,,,,,,,3.0,,2020-07-09 21:03:28.000,3.0,,,,,,,,,,,,,,,,,,, +589,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,6.0,538,146.0,237.0,33.0,631.0,3244,Tensorforce: a TensorFlow library for applied reinforcement learning.,83.0,23,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorforce,537.0,537.0,,,,,,,,3.0,,2021-08-30 20:13:45.000,2.0,,,,,,,,,,,,,,,,,,, +590,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-08-31 05:25:11.000000,2022-12-02 19:48:37,904.0,,334,70.0,1192.0,88.0,76.0,3181,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,27.0,23,True,2022-12-02 03:32:59.000,0.5,8.0,lit-nlp,conda-forge/lit-nlp,,,,24.0,23.0,https://pypi.org/project/lit-nlp,1137.0,2958.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,63757.0,,,,,3.0,,2022-12-02 03:31:01.152,1.0,,,,,,,,,,,,,,,,,,, +591,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-08-25 22:35:21.000000,2023-08-25 22:30:06,405.0,4.0,316,55.0,412.0,79.0,106.0,3105,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],25.0,24.0,https://pypi.org/project/vissl,223.0,223.0,,,,,,,,3.0,,2021-11-02 15:36:07.000,1.0,,,,,,,,,,,,,,,,,,, +592,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,6.0,232,43.0,110.0,54.0,64.0,2773,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 16:53:52.000,1.1.0,4.0,texthero,,,,,,,https://pypi.org/project/texthero,15683.0,15685.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,,, +593,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,439,65.0,122.0,27.0,349.0,2365,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],62.0,62.0,https://pypi.org/project/kashgari-tf,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +594,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,304,67.0,78.0,62.0,68.0,2093,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],24.0,21.0,https://pypi.org/project/sru,2753.0,2753.0,,,,,,,,3.0,,2021-06-17 23:33:37.000,3.0,,,,,,,,,,,,,,,,,,, +595,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-08-31 00:45:57.000000,2023-08-16 23:07:32,523.0,1.0,173,37.0,106.0,54.0,125.0,1984,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,23.0,23,True,2023-08-30 00:45:58.000,2023.8.30,656.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,6585.0,6585.0,,,,,,,,3.0,,2023-08-31 00:45:57.000,,,,,,,,,,,,,,,,,,,, +596,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,629,82.0,48.0,24.0,64.0,1949,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,418.0,406.0,https://pypi.org/project/finta,6831.0,6831.0,,,,,,,,3.0,,2020-10-21 11:39:44.000,12.0,,,,,,,,,,,,,,,,,,, +597,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-29 22:06:26.764000,2023-01-29 22:01:19,871.0,,124,34.0,406.0,65.0,325.0,1706,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,35.0,34.0,https://pypi.org/project/orbit-ml,122745.0,122745.0,,,,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +598,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-08-12 04:20:17.000000,2022-08-31 09:45:24,594.0,,231,55.0,444.0,4.0,401.0,1683,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,True,2021-06-10 09:45:12.000,0.8.0,22.0,farm,conda-forge/farm,,,['pytorch'],,,https://pypi.org/project/farm,3379.0,3482.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,2902.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +599,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209,39.0,111.0,54.0,42.0,1672,"Large-scale linear classification, regression and ranking in Python.",17.0,23,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],140.0,133.0,https://pypi.org/project/sklearn-contrib-lightning,1201.0,3571.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,200280.0,,,,,3.0,385.0,2022-01-30 00:43:43.000,7.0,,,,,,,,,,,,,,,,,,, +600,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,275,75.0,728.0,13.0,64.0,1561,An end-to-end PyTorch framework for image and video classification.,77.0,23,True,2023-03-21 05:24:19.000,0.7.0,7.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2607.0,3031.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18259.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +601,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,115,28.0,31.0,58.0,50.0,1550,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],308.0,303.0,https://pypi.org/project/higher,47117.0,47117.0,,,,,,,,3.0,,2020-07-14 12:20:32.000,5.0,,,,,,,,,,,,,,,,,,, +602,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,204,46.0,12.0,4.0,51.0,1539,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],192.0,190.0,https://pypi.org/project/geffnet,6449.0,6449.0,,,,,,,,3.0,,2021-07-08 19:05:05.000,2.0,,,,,,,,,,,,,,,,,,, +603,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-08-25 22:33:04.000000,2023-08-25 22:11:00,340.0,2.0,292,40.0,251.0,67.0,189.0,1338,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],31.0,30.0,https://pypi.org/project/crypten,257.0,257.0,,,,,,,,3.0,,2022-12-08 22:11:59.883,1.0,,,,,,,,,,,,,,,,,,, +604,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160,32.0,22.0,42.0,34.0,1246,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],59.0,58.0,https://pypi.org/project/sklearn-porter,331.0,331.0,,,,,,,,3.0,,2019-12-18 13:39:19.000,1.0,,,,,,,,,,,,,,,,,,, +605,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-08-31 05:29:49.000000,2023-08-31 05:25:00,181.0,16.0,103,37.0,23.0,16.0,107.0,1081,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,23,True,2023-08-31 05:32:10.000,2.1.3,76.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,11468.0,11468.0,,,,,,,,3.0,,2022-09-21 23:07:01.601,8.0,,,,,,,,,,,,,,,,,,, +606,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,10.0,139,97.0,117.0,33.0,45.0,1067,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,89.0,88.0,https://pypi.org/project/pfrl,409.0,409.0,,,,,,,,3.0,,2023-07-16 15:34:00.704,1.0,,,,,,,,,,,,,,,,,,, +607,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,102,12.0,18.0,13.0,15.0,992,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4068.0,3817.0,https://pypi.org/project/gputil,271904.0,271904.0,,,,,,,,3.0,,2018-12-18 09:12:13.000,251.0,,,,,,,,,,,,,,,,,,, +608,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,282,95.0,120.0,62.0,94.0,940,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,23,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],35.0,,https://pypi.org/project/astroML,1052.0,1611.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,40249.0,,,,,3.0,,2022-03-01 20:02:01.000,35.0,,,,,,,,,,,,,,,,,,, +609,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-06-16 19:27:19.938000,2023-03-29 07:39:45,85.0,,76,26.0,53.0,30.0,27.0,898,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,507.0,507.0,https://pypi.org/project/youtokentome,36718.0,38275.0,https://anaconda.org/conda-forge/youtokentome,2023-06-16 19:27:19.938,35823.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +610,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-06-16 23:48:25.000000,2022-12-07 13:45:45,1234.0,,135,25.0,593.0,62.0,511.0,831,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,5730.0,5730.0,,,,,,,,3.0,,2022-02-10 15:55:46.374,6.0,,,,,,,,,,,,,,,,,,, +611,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2023-06-16 19:20:28.498000,2023-04-27 23:44:02,329.0,,151,29.0,104.0,80.0,56.0,830,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,5.0,,https://pypi.org/project/witwidget,8799.0,62302.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2003390.0,,,,,3.0,,2021-10-12 17:42:30.000,4.0,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,1.0,783.0,,,,,,,,,,,,, +612,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144,25.0,19.0,26.0,4.0,729,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,23,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],517.0,505.0,https://pypi.org/project/treeinterpreter,75757.0,75884.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,4322.0,,,,,3.0,,2021-01-10 20:12:39.000,12.0,,,,,,,,,,,,,,,,,,, +613,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-08-23 11:47:04.000000,2023-08-23 11:46:56,231.0,8.0,90,15.0,35.0,30.0,24.0,701,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,397.0,387.0,https://pypi.org/project/detoxify,18453.0,26376.0,,,,,,,,3.0,261481.0,2022-12-19 18:16:02.257,10.0,,,,,,,,,,,,,,,,,,, +614,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,80,21.0,12.0,,38.0,675,Python package for stacking (machine learning technique).,1.0,23,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,339.0,333.0,https://pypi.org/project/vecstack,18540.0,18602.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1699.0,,,,,3.0,,2019-08-12 16:01:22.000,6.0,,,,,,,,,,,,,,,,,,, +615,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-07-10 19:01:34.000000,2023-07-10 19:01:34,397.0,1.0,155,17.0,72.0,35.0,105.0,651,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,167.0,143.0,https://pypi.org/project/python-ternary,37425.0,38304.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,77371.0,,,,,3.0,25.0,2021-02-17 18:38:15.000,24.0,,,,,,,,,,,,,,,,,,, +616,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138,120.0,91.0,43.0,67.0,638,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],183.0,168.0,https://pypi.org/project/mapboxgl,12402.0,12402.0,,,,,,,,3.0,,2019-06-02 16:02:54.380,15.0,,,,,,,,,,,,,,,,,,, +617,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-08-30 17:13:06.000000,2018-12-04 14:43:25,32.0,,78,21.0,8.0,21.0,41.0,599,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],382.0,361.0,https://pypi.org/project/pivottablejs,20607.0,20636.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2613.0,,,,,3.0,,2018-01-15 18:14:37.000,21.0,,,,,,,,,,,,,,,,,,, +618,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,112,27.0,23.0,57.0,35.0,584,a distributed Hyperband implementation on Steroids.,11.0,23,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,396.0,374.0,https://pypi.org/project/hpbandster,38349.0,38745.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,12699.0,,,,,3.0,,2018-11-06 12:56:55.000,22.0,,,,,,,,,,,,,,,,,,, +619,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-08-31 07:31:51.000000,2023-08-24 23:15:58,474.0,36.0,86,30.0,538.0,197.0,240.0,578,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",31.0,23,True,2023-08-29 16:27:32.000,23.8.0,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2261.0,2261.0,,,,,,,,3.0,,2023-08-29 16:27:32.000,1.0,,,,,,,,,,,,,,,,,,, +620,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-08-31 11:34:03.000000,2023-08-24 12:14:14,812.0,22.0,77,10.0,655.0,86.0,394.0,550,Automated modeling and machine learning framework FEDOT.,28.0,23,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,41.0,40.0,https://pypi.org/project/fedot,878.0,878.0,,,,,,,,3.0,,2023-07-25 13:17:29.000,1.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,, +621,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-06-30 02:33:24.000000,2023-06-30 02:33:23,460.0,2.0,47,8.0,49.0,148.0,220.0,536,python binding for libvips using cffi.,16.0,23,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,622.0,576.0,https://pypi.org/project/pyvips,54235.0,55595.0,https://anaconda.org/conda-forge/pyvips,2023-06-16 16:16:45.970,65323.0,,,,,3.0,,2022-06-12 09:54:07.000,46.0,,,,,,,,,,,,,,,,,,, +622,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-06-16 19:26:34.899000,2022-11-17 11:12:46,327.0,,129,19.0,32.0,14.0,70.0,498,Medical image processing in Python.,16.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1422.0,1378.0,https://pypi.org/project/MedPy,16798.0,17523.0,https://anaconda.org/conda-forge/medpy,2023-06-16 19:26:34.899,18862.0,,,,,3.0,,2019-02-14 17:12:59.000,44.0,,,,,,,,,,,,,,,,,,, +623,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,28.0,35,14.0,222.0,15.0,40.0,471,Monitor the stability of a Pandas or Spark dataframe.,17.0,23,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,8577.0,8580.0,,,,,,,,3.0,117.0,2023-07-18 10:32:00.587,2.0,,,,,,,,,,,,,,,,,,, +624,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,11.0,33,18.0,6.0,17.0,21.0,302,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,23,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],65.0,64.0,https://pypi.org/project/dm-launchpad,2157.0,2157.0,,,,,,,,3.0,,2022-04-28 06:23:38.000,1.0,,,,,,,,,,,,,,,,,,, +625,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-06-16 19:17:42.495000,2022-04-14 09:41:50,86.0,,33,13.0,9.0,4.0,12.0,225,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,874.0,829.0,https://pypi.org/project/py3nvml,117915.0,119111.0,https://anaconda.org/conda-forge/py3nvml,2023-06-16 19:17:42.495,51448.0,,,,,3.0,,2021-11-22 14:30:25.000,45.0,,,,,,,,,,,,,,,,,,, +626,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-06-01 07:36:32.000000,2023-02-07 10:12:31,47.0,,2022,149.0,85.0,222.0,284.0,11587,End-to-End Object Detection with Transformers.,26.0,22,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],11.0,11.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +627,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,796,170.0,1588.0,61.0,74.0,6355,A natural language modeling framework based on PyTorch.,234.0,22,False,2020-06-08 23:30:58.000,0.3.3,9.0,pytext-nlp,,,,['pytorch'],11.0,11.0,https://pypi.org/project/pytext-nlp,66.0,72.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,,,, +628,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779,224.0,25.0,7.0,122.0,5280,Build Graph Nets in Tensorflow.,11.0,22,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],19.0,11.0,https://pypi.org/project/graph-nets,1378.0,1378.0,,,,,,,,3.0,,2020-01-29 16:00:25.000,8.0,,,,,,,,,,,,,,,,,,, +629,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-08-31 13:38:13.000000,2023-06-14 07:01:38,11504.0,2.0,1503,142.0,3278.0,776.0,996.0,5176,An Industrial Grade Federated Learning Framework.,92.0,22,True,2023-06-02 10:06:56.000,1.11.2,44.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2.0,2.0,,,,,,,,3.0,,2020-05-06 09:35:40.000,,-4.0,,,,,,,,,,,,,,,,,, +630,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,805,234.0,109.0,52.0,620.0,4805,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,25.0,,,,,,,,3.0,1500.0,,,,,,,,,,,,,,,,,,,,, +631,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,324,76.0,37.0,95.0,73.0,4395,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,202.0,202.0,,,,,,,,3.0,,2022-03-13 19:09:50.000,,,,,,,,,,,,,,,,,,,, +632,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,696,103.0,32.0,99.0,112.0,4290,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,22,False,2020-01-08 15:35:45.000,2.2.0,1.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],114.0,114.0,https://pypi.org/project/ISR,5360.0,5364.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,228.0,3.0,,,,,,,,,,,,,,,,,,,,,, +633,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-08-24 02:06:46.000000,2023-01-15 11:37:16,279.0,,773,102.0,90.0,106.0,346.0,4015,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,10593.0,10593.0,,,,,,,,3.0,,2021-12-13 01:36:44.000,2.0,,,,,,,,,,,,,,,,,,, +634,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-08-29 21:52:32.000000,2023-08-29 21:48:40,1572.0,9.0,491,154.0,608.0,69.0,75.0,3434,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",161.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,19.0,19.0,,,,,,,,3.0,,2020-05-27 20:58:01.000,,,,,,,,,,,,,,,,,,,, +635,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,5.0,357,101.0,16.0,53.0,17.0,3333,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,22,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,129.0,122.0,https://pypi.org/project/tensorwatch,1209.0,1209.0,,,,,,,,3.0,,2020-03-04 07:26:22.000,7.0,,,,,,,,,,,,,,,,,,, +636,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654,77.0,53.0,176.0,101.0,3326,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,3729.0,3739.0,,,,,,,,3.0,522.0,2021-10-18 01:47:20.000,7.0,,,,,,,,,,,,,,,,,,, +637,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,379,208.0,9.0,6.0,16.0,3143,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],131.0,128.0,https://pypi.org/project/trfl,1852.0,1852.0,,,,,,,,3.0,,2021-08-16 12:19:16.000,3.0,,,,,,,,,,,,,,,,,,, +638,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-08-08 21:17:38.000000,2023-08-08 21:17:31,765.0,2.0,362,94.0,544.0,144.0,91.0,2729,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,22,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],8.0,,https://pypi.org/project/tensorflow-graphics,3457.0,3457.0,,,,,,,,3.0,,2021-12-03 22:33:39.000,8.0,,,,,,,,,,,,,,,,,,, +639,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,400,130.0,136.0,52.0,128.0,2400,Deep Learning toolkit for Computer Vision.,15.0,22,False,,,10.0,luminoth,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/luminoth,1523.0,1704.0,,,,,,,,3.0,12690.0,,,,,,,,,,,,,,,,,,,,, +640,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,371,80.0,144.0,33.0,126.0,2364,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 03:54:40.000,0.2.4,6.0,texar,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/texar,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +641,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,2.0,230,62.0,105.0,24.0,56.0,2078,"Codebase for Image Classification Research, written in PyTorch.",19.0,22,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pycls,190581.0,190581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +642,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-08-11 12:07:42.000000,2023-07-01 21:39:32,2288.0,1.0,229,41.0,35.0,5.0,109.0,1961,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,22,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,188.0,184.0,https://pypi.org/project/karateclub,5495.0,6045.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,20380.0,,,,,3.0,,2022-10-22 16:17:27.886,4.0,,,,,,,,,,,,,,,,,,, +643,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,172,55.0,895.0,129.0,586.0,1845,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,22,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,21.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1006.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +644,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,1.0,98,37.0,27.0,22.0,78.0,1735,"A flexible, intuitive and fast forecasting library.",9.0,22,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,20.0,20.0,https://pypi.org/project/greykite,13787.0,13787.0,,,,,,,,3.0,4.0,2022-07-15 21:40:53.479,,,,,,,,,,,,,,,,,,,, +645,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255,44.0,13.0,57.0,35.0,1724,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",224.0,213.0,https://pypi.org/project/hiddenlayer,1162.0,1162.0,,,,,,,,3.0,,2020-04-24 07:32:11.000,11.0,,,,,,,,,,,,,,,,,,, +646,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311,98.0,45.0,187.0,216.0,1623,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,321.0,321.0,,,,,,,,3.0,42.0,2018-02-22 01:13:03.000,7.0,,,,,,,,,,,,,,,,,,, +647,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,270,67.0,51.0,23.0,74.0,1441,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,33.0,33.0,https://pypi.org/project/mlbox,459.0,459.0,,,,,,,,3.0,,2020-08-25 09:32:37.000,,,,,,,,,,,,,,,,,,,, +648,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-05-29 19:09:18.000000,2022-05-29 19:09:18,309.0,,184,29.0,56.0,20.0,35.0,1206,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],129.0,124.0,https://pypi.org/project/advertorch,435.0,435.0,,,,,,,,3.0,,2020-06-15 01:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +649,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-08-25 17:36:48.000000,2023-08-25 17:36:47,830.0,2.0,303,52.0,788.0,1.0,298.0,1186,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,59.0,22,True,2023-03-03 07:44:13.000,3.1.34,76.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,842.0,842.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,, +650,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,217,66.0,29.0,31.0,12.0,1119,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,90.0,75.0,https://pypi.org/project/luminol,12642.0,12642.0,,,,,,,,3.0,,2017-12-11 06:04:15.000,15.0,,,,,,,,,,,,,,,,,,, +651,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,166,56.0,14.0,30.0,19.0,1004,python toolbox for visualizing geographical data and making maps.,8.0,22,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,173.0,161.0,https://pypi.org/project/geoplotlib,1300.0,1500.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,5416.0,,,,,3.0,,2016-07-27 14:55:01.000,12.0,,,,,,,,,,,,,,,,,,, +652,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,109,48.0,98.0,41.0,51.0,991,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],195.0,187.0,https://pypi.org/project/tf-explain,1986.0,1986.0,,,,,,,,3.0,,2021-11-18 20:57:29.000,8.0,,,,,,,,,,,,,,,,,,, +653,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-08-18 11:50:18.000000,2023-08-18 11:01:23,442.0,1.0,203,55.0,82.0,60.0,204.0,990,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,40.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,1570.0,1570.0,,,,,,,,3.0,,2023-08-18 11:50:18.000,5.0,,,,,,,,,,,,,,,,,,, +654,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181,24.0,58.0,8.0,27.0,897,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,22,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],67.0,63.0,https://pypi.org/project/saliency,5214.0,5214.0,,,,,,,,3.0,,2022-06-14 18:11:08.000,4.0,,,,,,,,,,,,,,,,,,, +655,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-07-04 00:10:02.000000,2022-07-04 00:10:02,195.0,,146,23.0,45.0,14.0,82.0,896,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2308.0,2294.0,https://pypi.org/project/kapre,2164.0,2164.0,,,,,,,,3.0,25.0,2022-01-21 20:09:21.000,14.0,,,,,,,,,,,,,,,,,,, +656,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-05-15 11:15:26.000000,2020-02-25 14:31:53,879.0,,99,29.0,59.0,16.0,74.0,803,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,324.0,320.0,https://pypi.org/project/mlens,2534.0,2534.0,,,,,,,,3.0,,2018-10-30 22:30:43.000,4.0,,,,,,,,,,,,,,,,,,, +657,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73,6.0,5.0,4.0,23.0,790,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],357.0,345.0,https://pypi.org/project/iterative-stratification,67118.0,67118.0,,,,,,,,3.0,,2021-10-03 18:49:49.000,12.0,,,,,,,,,,,,,,,,,,, +658,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-08-11 15:56:45.000000,2023-08-11 15:55:37,272.0,4.0,240,45.0,18.0,6.0,91.0,773,Data compression in TensorFlow.,21.0,22,True,2023-07-26 23:21:33.000,2.13.0,21.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,6690.0,6690.0,,,,,,,,3.0,,2023-07-26 23:20:24.000,2.0,,,,,,,,,,,,,,,,,,, +659,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-06-16 19:19:30.367000,2023-06-05 07:08:03,591.0,1.0,122,16.0,50.0,27.0,115.0,677,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,31.0,22,True,2023-03-16 18:06:01.469,1.6.1,41.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],37.0,,https://pypi.org/project/torch-cluster,10706.0,12701.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-06-16 19:19:30.367,77811.0,,,,,3.0,,2022-03-11 14:21:26.000,37.0,,,,,,,,,,,,,,,,,,, +660,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,104,30.0,1.0,13.0,3.0,622,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,22,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",577.0,572.0,https://pypi.org/project/combo,74229.0,74229.0,,,,,,,,3.0,,2022-04-02 16:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +661,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,129,23.0,18.0,8.0,29.0,567,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],137.0,132.0,https://pypi.org/project/rfpimp,24249.0,24249.0,,,,,,,,3.0,,2021-01-28 23:19:33.000,5.0,,,,,,,,,,,,,,,,,,, +662,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,51,11.0,20.0,11.0,37.0,493,Joyplots in Python with matplotlib & pandas.,6.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,310.0,301.0,https://pypi.org/project/joypy,15407.0,15819.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,21847.0,,,,,3.0,,2021-12-19 09:42:50.000,9.0,,,,,,,,,,,,,,,,,,, +663,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-08-27 11:10:13.000000,2023-08-19 18:28:43,446.0,24.0,51,25.0,7.0,9.0,30.0,480,Active Learning for Text Classification in Python.,4.0,22,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",21.0,21.0,https://pypi.org/project/small-text,635.0,950.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4099.0,,,,,3.0,,2023-08-19 18:14:35.000,,,,,,,,,,,,,,,,,,,, +664,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-08-27 11:02:58.000000,2023-08-27 11:02:43,2244.0,14.0,40,11.0,11.0,11.0,51.0,464,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,22,True,2023-08-27 10:59:47.000,4.5.0,74.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,1082.0,1084.0,,,,,,,,3.0,128.0,2023-08-27 10:57:33.000,5.0,,,,,,,,,,,,,,,,,,, +665,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-05-30 12:58:18.000000,2023-05-30 12:58:18,278.0,,73,7.0,8.0,2.0,69.0,458,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,9.0,22,True,2023-05-28 19:00:00.638,0.3.2,144.0,featurewiz,,,,,50.0,48.0,https://pypi.org/project/featurewiz,9689.0,9689.0,,,,,,,,3.0,,2023-01-02 17:22:46.739,2.0,,,,,,,,,,,,,,,,,,, +666,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2023-08-31 09:43:09.000000,2023-08-29 07:01:44,1555.0,97.0,54,6.0,183.0,37.0,74.0,403,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,22,False,2023-08-10 10:58:42.000,0.4.3,21.0,quantus,,,,,17.0,16.0,https://pypi.org/project/quantus,491.0,498.0,,,,,,,,3.0,130.0,2023-08-10 10:58:42.000,1.0,,,,,,,,,,,,,,,,,,, +667,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,8.0,79,20.0,247.0,10.0,23.0,385,A toolkit that streamlines and automates the generation of model cards.,22.0,22,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,20.0,19.0,https://pypi.org/project/model-card-toolkit,1175.0,1175.0,,,,,,,,3.0,8.0,2022-04-28 16:34:21.000,1.0,,,,,,,,,,,,,,,,,,, +668,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-08-16 22:36:36.000000,2023-08-16 22:25:22,5548.0,153.0,86,14.0,726.0,33.0,420.0,379,Lightwood is Legos for Machine Learning.,39.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,200.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,4953.0,4953.0,,,,,,,,3.0,,2023-08-07 15:56:06.000,2.0,,,,,,,,,,,,,,,,,,, +669,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-07-25 21:03:07.000000,2023-01-09 20:06:01,2410.0,,52,24.0,231.0,57.0,195.0,375,Studio: Simplify and expedite model building process.,22.0,22,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,412.0,412.0,,,,,,,,3.0,,2021-09-14 22:55:51.000,,,,,,,,,,,,,,,,,,,, +670,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-06-16 19:26:58.237000,2022-12-12 14:53:36,244.0,,25,8.0,4.0,21.0,54.0,257,Multiple Imputation with LightGBM in Python.,6.0,22,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,84.0,82.0,https://pypi.org/project/miceforest,22334.0,22756.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,10559.0,,,,,1.0,,2022-04-15 14:53:33.000,2.0,,,,,,,,,,,,,,,,,,, +671,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-06-16 19:23:42.362000,2023-05-29 22:53:26,2453.0,,56,9.0,224.0,28.0,72.0,244,Python recommendation toolkit.,13.0,22,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,92.0,88.0,https://pypi.org/project/lenskit,998.0,1661.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,21895.0,,,,,3.0,,2022-08-16 20:29:07.512,4.0,,,,,,,,,,,,,,,,,,, +672,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2023-08-10 10:30:37.000000,2023-08-10 08:58:24,574.0,12.0,33,25.0,627.0,21.0,126.0,230,Highly optimized inference engine for Binarized Neural Networks.,18.0,22,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2429.0,2451.0,,,,,,,,3.0,944.0,2023-08-10 10:30:37.000,,,,,,,,,,,,,,,,,,,, +673,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26,7.0,18.0,3.0,9.0,151,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2121.0,1969.0,https://pypi.org/project/stop-words,92194.0,92194.0,,,,,,,,3.0,,2018-07-23 20:55:55.000,152.0,,,,,,,,,,,,,,,,,,, +674,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-08-15 07:38:25.000000,2023-08-15 07:38:22,956.0,3.0,532,167.0,45.0,36.0,28.0,3999,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,308.0,308.0,,,,,,,,3.0,,2022-08-19 12:40:54.257,2.0,,,,,,,,,,,,,,,,,,, +675,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482,217.0,16.0,24.0,4.0,3181,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,87.0,87.0,,,,,,,,3.0,47.0,2021-10-07 14:58:03.000,,,,,,,,,,,,,,,,,,,, +676,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-08-31 13:06:20.000000,2023-04-02 02:43:29,2583.0,,1039,131.0,982.0,53.0,67.0,2920,a distributed deep learning platform.,81.0,21,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,43.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,688.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,3513.0,3.0,,,,,,,,,,,,,,,,,,,,,, +677,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454,168.0,120.0,14.0,112.0,2915,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,158.0,158.0,,,,,,,,3.0,,2020-04-12 11:34:38.000,,,,,,,,,,,,,,,,,,,, +678,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327,75.0,2.0,18.0,7.0,2899,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],185.0,177.0,https://pypi.org/project/adabound,1165.0,1165.0,,,,,,,,3.0,,2019-02-26 04:23:45.000,8.0,,,,,,,,,,,,,,,,,,, +679,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-08-30 02:00:35.000000,2021-05-06 12:10:38,127.0,,145,50.0,46.0,2.0,30.0,2876,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,21,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,96.0,162.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1262.0,,,,,3.0,,2021-05-04 18:48:03.000,,,,,,,,,,,,,,,,,,,, +680,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827,87.0,30.0,45.0,80.0,2584,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,74.0,67.0,https://pypi.org/project/deepwalk,613.0,613.0,,,,,,,,3.0,,2018-04-29 21:05:18.000,7.0,,,,,,,,,,,,,,,,,,, +681,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,358,86.0,4.0,3.0,18.0,2088,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,46.0,45.0,https://pypi.org/project/pdftabextract,270.0,270.0,,,,,,,,3.0,,2018-01-09 08:00:24.000,1.0,,,,,,,,,,,,,,,,,,, +682,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:15.000000,2023-07-27 13:04:12,336.0,8.0,331,42.0,68.0,153.0,95.0,1809,Super easy library for BERT based NLP models.,36.0,21,True,2020-07-09 12:05:40.000,1.8.0,5.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,861.0,861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +683,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-08-23 03:06:44.000000,2023-08-10 17:09:47,309.0,5.0,139,24.0,30.0,25.0,31.0,1774,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],27.0,26.0,https://pypi.org/project/ecco,789.0,985.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,3905.0,,,,,3.0,65.0,2022-01-09 21:14:50.000,1.0,,,,,,,,,,,,,,,,,,, +684,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203,38.0,6.0,14.0,33.0,1624,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],50.0,44.0,https://pypi.org/project/antialiased-cnns,2401.0,2401.0,,,,,,,,3.0,,2020-10-23 22:42:49.000,6.0,,,,,,,,,,,,,,,,,,, +685,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,193,30.0,423.0,11.0,163.0,1616,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,27.0,21,True,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,38.0,38.0,,,,,,,,3.0,,2022-01-20 15:18:44.000,,,,,,,,,,,,,,,,,,,, +686,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-06-10 00:29:25.000000,2020-12-17 06:57:15,932.0,,295,67.0,200.0,5.0,74.0,1556,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,1.0,258.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,2020-03-27 04:46:19.000,,,,,,,,,,,,,,,,,,,, +687,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,128,102.0,150.0,26.0,20.0,1549,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,1439.0,1439.0,,,,,,,,3.0,,2022-02-02 23:30:10.000,1.0,,,,,,,,,,,,,,,,,,, +688,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-06-14 15:33:56.000000,2023-05-13 08:12:05,905.0,,204,56.0,52.0,68.0,148.0,1497,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,252.0,284.0,,,,,,,,3.0,2671.0,2020-03-13 12:36:30.000,,,,,,,,,,,,,,,,,,,, +689,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,358,63.0,47.0,37.0,72.0,1470,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-06-03 13:51:56.000,1.0.0,5.0,anago,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/anago,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +690,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,222,64.0,48.0,36.0,90.0,1241,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],35.0,32.0,https://pypi.org/project/tensorrec,253.0,253.0,,,,,,,,3.0,,2019-04-02 00:53:47.000,3.0,,,,,,,,,,,,,,,,,,, +691,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,77,39.0,14.0,12.0,26.0,1213,A Graph Neural Network Library in Jax.,17.0,21,True,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],99.0,93.0,https://pypi.org/project/jraph,7062.0,7217.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3412.0,,,,,3.0,,2022-08-12 15:25:29.659,6.0,,,,,,,,,,,,,,,,,,, +692,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208,28.0,61.0,54.0,60.0,1047,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,119.0,109.0,https://pypi.org/project/fastfm,282.0,287.0,,,,,,,,3.0,583.0,2017-11-23 06:59:56.000,10.0,,,,,,,,,,,,,,,,,,, +693,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,244,47.0,45.0,25.0,127.0,956,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,167.0,167.0,,,,,,,,3.0,,2019-04-19 05:28:27.000,,,,,,,,,,,,,,,,,,,, +694,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132,36.0,16.0,8.0,3.0,916,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3529.0,3517.0,https://pypi.org/project/nudepy,1917.0,1917.0,,,,,,,,3.0,,2020-11-23 13:49:17.000,12.0,,,,,,,,,,,,,,,,,,, +695,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,1.0,124,18.0,24.0,26.0,39.0,772,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,32413.0,32790.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,18478.0,,,,,3.0,,2021-03-14 16:21:17.000,26.0,,,,,,,,,,,,,,,,,,, +696,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,152,38.0,46.0,39.0,49.0,750,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,89.0,81.0,https://pypi.org/project/deeplift,470.0,470.0,,,,,,,,3.0,,2020-11-11 09:32:57.000,8.0,,,,,,,,,,,,,,,,,,, +697,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74,26.0,37.0,25.0,21.0,736,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,58886.0,58886.0,,,,,,,,3.0,17.0,2019-12-01 01:19:50.000,23.0,,,,,,,,,,,,,,,,,,, +698,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-08-11 02:26:48.000000,2023-05-18 17:21:50,1498.0,,77,36.0,637.0,22.0,118.0,688,Scikit-learn style model finetuning for NLP.,21.0,21,True,2019-01-18 20:10:51.000,0.5.14,14.0,finetune,,,,"['tensorflow', 'sklearn']",11.0,11.0,https://pypi.org/project/finetune,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +699,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-08-29 10:08:55.843000,2023-08-29 06:49:30,294.0,5.0,58,24.0,45.0,10.0,16.0,686,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],12.0,10.0,https://pypi.org/project/evojax,555.0,1667.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,20029.0,,,,,3.0,,2023-08-29 06:52:02.000,2.0,,,,,,,,,,,,,,,,,,, +700,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,68,28.0,422.0,10.0,237.0,628,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],86.0,82.0,https://pypi.org/project/torchbearer,251.0,251.0,,,,,,,,3.0,,2020-01-31 14:05:56.000,4.0,,,,,,,,,,,,,,,,,,, +701,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,106,24.0,25.0,42.0,61.0,598,Build fully-functioning computer vision models with PyTorch.,12.0,21,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],149.0,147.0,https://pypi.org/project/detecto,1797.0,1914.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3066.0,,,,,3.0,,2022-02-02 00:12:06.000,2.0,,,,,,,,,,,,,,,,,,, +702,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57,19.0,216.0,49.0,287.0,580,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,True,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,50.0,49.0,https://pypi.org/project/neuraxle,546.0,546.0,,,,,,,,3.0,,2022-08-16 19:50:37.507,1.0,,,,,,,,,,,,,,,,,,, +703,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-08-20 23:38:18.000000,2023-08-20 23:36:18,861.0,1.0,96,44.0,67.0,48.0,23.0,562,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,145.0,139.0,https://pypi.org/project/aequitas,1960.0,1960.0,,,,,,,,3.0,,2020-12-16 11:48:14.000,6.0,,,,,,,,,,,,,,,,,,, +704,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,88,26.0,31.0,28.0,6.0,557,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],299.0,292.0,https://pypi.org/project/skope-rules,49460.0,49460.0,,,,,,,,3.0,,2020-01-25 12:01:37.000,7.0,,,,,,,,,,,,,,,,,,, +705,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,102,9.0,14.0,5.0,16.0,556,Make Waffle Charts in Python.,6.0,21,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,263.0,260.0,https://pypi.org/project/pywaffle,2961.0,3149.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10559.0,,,,,3.0,,2022-06-08 03:10:36.000,3.0,,,,,,,,,,,,,,,,,,, +706,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,3.0,63,18.0,111.0,8.0,47.0,550,A simplified framework and utilities for PyTorch.,20.0,21,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],126.0,121.0,https://pypi.org/project/poutyne,4640.0,4640.0,,,,,,,,3.0,,2022-04-28 20:18:33.000,5.0,,,,,,,,,,,,,,,,,,, +707,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-08-30 00:12:47.000000,2023-08-22 11:28:24,293.0,4.0,97,15.0,45.0,13.0,15.0,528,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,44.0,44.0,https://pypi.org/project/recmetrics,12045.0,12045.0,,,,,,,,3.0,5.0,2022-04-26 17:57:01.000,,,,,,,,,,,,,,,,,,,, +708,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-06-04 11:48:19.000000,2023-03-05 00:16:57,419.0,,97,35.0,276.0,68.0,172.0,432,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",18.0,21,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,72.0,70.0,https://pypi.org/project/tick,787.0,790.0,,,,,,,,3.0,281.0,2020-05-24 22:01:17.000,2.0,,,,,,,,,,,,,,,,,,, +709,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,78,24.0,11.0,48.0,49.0,410,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,115.0,101.0,https://pypi.org/project/optunity,5265.0,5265.0,,,,,,,,3.0,77.0,2015-09-30 05:02:00.000,14.0,,,,,,,,,,,,,,,,,,, +710,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-08-23 02:49:12.000000,2023-08-23 02:49:10,4701.0,45.0,37,13.0,1.0,2.0,80.0,400,Deep Learning PyTorch.,1.0,21,True,2023-08-14 03:11:29.000,0.4.7,101.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,375.0,375.0,,,,,,,,2.0,,2023-08-14 03:11:29.000,,,,,,,,,,,,,,,,,,,, +711,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,68,25.0,48.0,15.0,19.0,386,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,21,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],46.0,,https://pypi.org/project/skrebate,2681.0,3145.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31095.0,,,,,3.0,,2021-03-20 17:11:52.000,46.0,,,,,,,,,,,,,,,,,,, +712,TimeSide,Parisson/TimeSide,audio,,https://github.com/Ircam-WAM/TimeSide,https://github.com/Ircam-WAM/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-07-21 09:15:54.000000,2023-02-01 10:38:52,3728.0,,60,26.0,110.0,32.0,184.0,352,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,103.0,103.0,,,,,,,,3.0,,2020-11-27 09:33:19.000,14.0,,,,,,,,Ircam-WAM/TimeSide,,,,,,,,,,, +713,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,47,10.0,37.0,28.0,37.0,338,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,203.0,199.0,https://pypi.org/project/impyute,5206.0,5206.0,,,,,,,,3.0,,2017-05-31 08:31:47.000,4.0,,,,,,,,,,,,,,,,,,, +714,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-08-30 14:32:48.000000,2023-08-27 21:31:43,511.0,1.0,37,5.0,12.0,5.0,45.0,295,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,21,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],24.0,,https://pypi.org/project/scikit-posthocs,49283.0,73506.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,823614.0,,,,,3.0,37.0,2022-05-07 07:58:05.000,24.0,,,,,,,,,,,,,,,,,,, +715,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-08-30 23:16:02.000000,2023-08-30 23:16:01,589.0,29.0,10,22.0,270.0,35.0,63.0,261,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2023-08-21 11:57:54.000,1.4.0,56.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,8.0,6.0,https://pypi.org/project/vegafusion-jupyter,400.0,5215.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-08-21 20:11:06.229,70636.0,,,,,3.0,4649.0,2023-08-21 11:38:11.000,1.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-08-21 11:44:18.095,1.0,416.0,,hex-inc/vegafusion,,,,,,,,,,, +716,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-06-16 13:21:34.221000,2022-09-26 07:14:12,621.0,,64,27.0,29.0,29.0,113.0,250,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,11.0,,https://pypi.org/project/somoclu,2425.0,3561.0,https://anaconda.org/conda-forge/somoclu,2023-06-16 13:21:34.221,80568.0,,,,,3.0,1794.0,2023-02-18 02:51:08.166,11.0,,,,,,,,,,,,,,,,,,, +717,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-27 00:27:07.000000,2023-02-06 22:03:09,575.0,,19,19.0,463.0,90.0,76.0,224,Functional tensors for probabilistic programming.,11.0,21,False,2023-01-23 08:32:39.757,0.4.5,11.0,funsor,,,,['pytorch'],56.0,53.0,https://pypi.org/project/funsor,20769.0,20769.0,,,,,,,,3.0,,2023-01-23 08:32:39.757,3.0,,,,,,,,,,,,,,,,,,, +718,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-08-26 21:37:05.000000,2023-08-26 20:55:56,189.0,3.0,1087,99.0,46.0,349.0,275.0,5849,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +719,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-08-19 00:53:25.000000,2022-02-10 07:36:23,432.0,,475,88.0,179.0,108.0,161.0,3472,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,31.0,57.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,2021-08-02 17:37:42.000,,,,,,,,,,,,,,,,,,,, +720,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,166,65.0,54.0,6.0,44.0,3057,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,294.0,295.0,,,,,,,,3.0,40.0,2021-11-19 16:45:29.543,,,,,,,,,,,,,,,,,,,, +721,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,308,60.0,242.0,169.0,109.0,2898,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,5412.0,5427.0,,,,,,,,3.0,669.0,2022-11-03 06:46:55.989,2.0,,,,,,,,,,,,,,,,,,, +722,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398,101.0,54.0,64.0,48.0,2874,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,836.0,836.0,,,,,,,,3.0,,2017-02-13 14:54:48.000,4.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,, +723,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-03-20 10:13:27.000000,2022-07-20 20:54:36,1904.0,,322,102.0,999.0,87.0,260.0,2803,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +724,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,445,128.0,225.0,87.0,183.0,2265,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,36.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,81.0,81.0,,,,,,,,3.0,,2019-10-10 14:17:10.000,2.0,,,,,,,,,,,,,,,,,,, +725,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,2.0,254,54.0,35.0,14.0,105.0,1949,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2027.0,2027.0,,,,,,,,3.0,,2021-11-06 23:09:00.000,,,,,,,,,,,,,,,,,,,, +726,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157,46.0,3.0,13.0,15.0,1526,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],11.0,11.0,https://pypi.org/project/lambda-networks,3582.0,3582.0,,,,,,,,3.0,,2020-11-18 08:19:23.000,,,,,,,,,,,,,,,,,,,, +727,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-08-19 10:55:37.000000,2023-07-19 18:58:36,357.0,4.0,124,18.0,57.0,13.0,29.0,1453,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,13.0,20,True,2023-02-23 16:10:05.727,0.1.1,11.0,pythae,,,,['pytorch'],11.0,11.0,https://pypi.org/project/pythae,499.0,499.0,,,,,,,,3.0,,2022-09-07 17:05:43.199,,,,,,,,,,,,,,,,,,,, +728,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,402,102.0,36.0,11.0,24.0,1397,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,140.0,140.0,,,,,,,,3.0,,2018-02-26 17:43:57.000,,,,,,,,,,,,,,,,,,,, +729,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101,41.0,13.0,14.0,9.0,1261,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,103.0,102.0,https://pypi.org/project/doc2text,1895.0,1895.0,,,,,,,,3.0,,2016-09-06 21:59:21.000,1.0,,,,,,,,,,,,,,,,,,, +730,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-08-26 11:12:46.000000,2023-08-12 13:23:12,1192.0,2.0,86,29.0,138.0,64.0,128.0,1251,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",22.0,20,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,117.0,129.0,,,,,,,,3.0,454.0,2022-04-13 10:22:18.000,,,,,,,,,,,,,,,,,,,, +731,Skater,oracle/Skater,interpretability,,https://github.com/oracle/skater,https://github.com/oracle/skater,UPL-1.0,2017-01-26 05:45:42.000,2023-06-16 13:21:14.462000,2023-03-21 12:52:00,1113.0,,182,56.0,151.0,72.0,97.0,1074,Python Library for Model Interpretation/Explanations.,37.0,20,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,197.0,1025.0,https://anaconda.org/conda-forge/skater,2023-06-16 13:21:14.462,61280.0,,,,,3.0,,2018-09-21 07:03:32.000,,,,,,,,,,,,,,,,,,,, +732,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-08-29 09:58:43.000000,2023-07-19 02:39:43,450.0,10.0,107,19.0,146.0,13.0,98.0,1017,A standard framework for modelling Deep Learning Models for tabular data.,16.0,20,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2405.0,2405.0,,,,,,,,3.0,18.0,2021-09-01 11:51:30.000,2.0,,,,,,,,,,,,,,,,,,, +733,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184,52.0,12.0,16.0,42.0,1010,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],69.0,65.0,https://pypi.org/project/tensornets,86.0,86.0,,,,,,,,3.0,,2020-03-31 04:35:15.000,4.0,,,,,,,,,,,,,,,,,,, +734,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,138,17.0,11.0,41.0,43.0,981,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],101.0,96.0,https://pypi.org/project/performer-pytorch,9214.0,9214.0,,,,,,,,3.0,,2022-02-02 20:34:04.000,5.0,,,,,,,,,,,,,,,,,,, +735,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-06-16 19:18:16.533000,2020-04-17 02:27:44,79.0,,130,27.0,73.0,39.0,36.0,963,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,259900.0,260079.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7349.0,,,,,3.0,,2020-04-17 02:18:00.000,2.0,,,,,,,,,,,,,,,,,,, +736,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-03-28 16:16:19.000000,2023-03-28 16:16:19,301.0,,85,18.0,70.0,17.0,42.0,881,Audio processing by using pytorch 1D convolution network.,14.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,123.0,120.0,https://pypi.org/project/nnAudio,2225.0,2225.0,,,,,,,,3.0,,2021-12-24 09:38:22.000,3.0,,,,,,,,,,,,,,,,,,, +737,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,226,31.0,38.0,39.0,20.0,796,An open source python library for scalable Bayesian optimisation.,13.0,20,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,40262.0,40262.0,,,,,,,,3.0,,2022-10-01 22:28:00.848,2.0,,,,,,,,,,,,,,,,,,, +738,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158,76.0,98.0,51.0,43.0,753,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,25263.0,25263.0,,,,,,,,3.0,,2018-05-16 14:20:28.000,1.0,,,,,,,,,,,,,,,,,,, +739,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,145,38.0,33.0,25.0,39.0,745,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,101.0,85.0,https://pypi.org/project/NearPy,647.0,647.0,,,,,,,,3.0,,2016-09-27 13:03:12.000,16.0,,,,,,,,,,,,,,,,,,, +740,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,126,30.0,28.0,21.0,34.0,736,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],42.0,40.0,https://pypi.org/project/sklearn-deap,414.0,414.0,,,,,,,,3.0,,2021-07-30 15:13:54.000,2.0,,,,,,,,,,,,,,,,,,, +741,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52,30.0,12.0,11.0,15.0,627,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,192.0,140.0,https://pypi.org/project/tensorboard_logger,6043.0,6043.0,,,,,,,,3.0,,2018-02-08 07:28:51.000,52.0,,,,,,,,,,,,,,,,,,, +742,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64,30.0,31.0,5.0,24.0,555,Python module for machine learning time series:.,14.0,20,True,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,47.0,45.0,https://pypi.org/project/seglearn,1011.0,1011.0,,,,,,,,3.0,,2021-03-13 16:18:30.000,2.0,,,,,,,,,,,,,,,,,,, +743,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,163,56.0,20.0,39.0,60.0,533,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,80.0,80.0,,,,,,,,3.0,,2017-05-10 17:14:37.000,5.0,,,,,,,,,,,,,,,,,,, +744,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-27 07:10:33.000000,2023-03-27 07:10:33,410.0,,51,59.0,8.0,20.0,24.0,498,Python library assists deep learning on graphs.,17.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,64.0,63.0,https://pypi.org/project/deepsnap,497.0,497.0,,,,,,,,3.0,10.0,2021-09-05 22:57:16.000,1.0,,,,,,,,,,,,,,,,,,, +745,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172.0,,45,10.0,8.0,11.0,19.0,480,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,79.0,71.0,https://pypi.org/project/apricot-select,16240.0,16240.0,,,,,,,,3.0,26.0,2020-09-28 07:19:15.000,8.0,,,,,,,,,,,,,,,,,,, +746,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-05-08 01:10:39.000000,2023-05-08 01:10:39,371.0,,97,29.0,19.0,37.0,8.0,462,A python library for Bayesian time series modeling.,6.0,20,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,33.0,31.0,https://pypi.org/project/pydlm,30189.0,30189.0,,,,,,,,3.0,,2018-12-19 10:27:54.000,2.0,,,,,,,,,,,,,,,,,,, +747,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,,92,26.0,6.0,3.0,25.0,459,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,20,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,24.0,22.0,https://pypi.org/project/autoviml,519.0,519.0,,,,,,,,3.0,,2022-06-01 23:08:15.000,2.0,,,,,,,,,,,,,,,,,,, +748,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,2.0,102,19.0,56.0,26.0,20.0,450,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,60.0,52.0,https://pypi.org/project/rrcf,2450.0,2450.0,,,,,,,,3.0,,2020-06-10 01:53:55.000,8.0,,,,,,,,,,,,,,,,,,, +749,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-08-18 13:38:01.000000,2023-07-21 10:47:15,2586.0,143.0,56,11.0,234.0,9.0,101.0,398,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,20.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,61.0,61.0,,,,,,,,3.0,,2022-04-12 08:56:50.000,,,,,,,,,,,,,,,,,,,, +750,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,25,10.0,9.0,2.0,9.0,363,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,True,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],591.0,585.0,https://pypi.org/project/julius,159354.0,159354.0,,,,,,,,3.0,,2022-09-20 06:43:57.063,6.0,,,,,,,,,,,,,,,,,,, +751,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46,26.0,19.0,16.0,15.0,325,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],221.0,214.0,https://pypi.org/project/mxboard,5452.0,5452.0,,,,,,,,3.0,,2018-05-22 20:25:51.000,7.0,,,,,,,,,,,,,,,,,,, +752,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-08-14 07:54:20.000000,2021-05-28 01:21:58,393.0,,127,35.0,320.0,79.0,125.0,312,Brain Imaging Analysis Kit.,34.0,20,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,23.0,22.0,https://pypi.org/project/brainiak,103.0,112.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,870.0,3.0,,2020-10-15 20:45:08.000,1.0,,,,,,,,,,,,,,,,,,, +753,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56,26.0,41.0,8.0,10.0,285,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,233332.0,233332.0,,,,,,,,3.0,,2020-05-14 22:20:14.000,2.0,,,,,,,,,,,,,,,,,,, +754,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-08-29 15:48:26.000000,2023-08-29 14:55:07,395.0,39.0,71,24.0,405.0,24.0,51.0,258,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,30.0,20,False,2022-06-03 15:53:33.000,0.2.0,18.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,199.0,199.0,,,,,,,,3.0,,2023-08-29 15:48:26.000,,,,,,,,,,,,,,,,,,,, +755,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-08-30 15:32:50.000000,2023-08-30 15:32:25,602.0,46.0,21,4.0,242.0,4.0,,245,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,20,False,2023-08-30 15:32:50.000,1.1.184,471.0,upgini,,,,,1.0,1.0,https://pypi.org/project/upgini,3890.0,3890.0,,,,,,,,3.0,,2023-08-30 15:32:50.000,,,,,,,,,,,,,,,,,,,, +756,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-07-06 22:38:10.000000,2023-01-26 17:04:18,400.0,,97,18.0,386.0,62.0,86.0,236,An open-source toolkit for large-scale genomic analysis.,24.0,20,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,43159.0,43276.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3513.0,,,,,3.0,,2022-04-19 23:43:38.000,,,,,,,,,,,,,,,,,,,, +757,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:02:54.000000,2018-12-08 15:02:12,153.0,,31,9.0,4.0,20.0,29.0,228,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:02:54.000,0.4.6,12.0,pyfasttext,,,,,352.0,352.0,https://pypi.org/project/pyfasttext,2522.0,2527.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,,,, +758,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-08-02 10:27:58.000000,2023-07-02 18:02:16,1462.0,6.0,44,14.0,136.0,17.0,61.0,216,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,34.0,32.0,https://pypi.org/project/pyrdf2vec,247.0,247.0,,,,,,,,3.0,,2021-06-09 10:56:14.000,2.0,,,,,,,,,,,,,,,,,,, +759,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23,8.0,11.0,4.0,9.0,209,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,62.0,60.0,https://pypi.org/project/numerizer,39578.0,39578.0,,,,,,,,3.0,,2023-01-03 08:08:01.830,2.0,,,,,,,,,,,,,,,,,,, +760,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,409,110.0,83.0,67.0,48.0,2900,Deep recommender models using PyTorch.,11.0,19,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,113.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +761,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22.0,,254,33.0,18.0,27.0,37.0,2750,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,1277.0,1277.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +762,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-07-26 02:42:57.000000,2023-03-14 23:02:49,75.0,,161,24.0,18.0,13.0,28.0,1439,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,46.0,47.0,,,,,,,,3.0,26.0,2022-03-24 23:19:13.000,,,,,,,,,,,,,,,,,,,, +763,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-08-31 02:18:51.000000,2023-08-31 02:18:51,427.0,6.0,179,61.0,7.0,13.0,29.0,956,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,79.0,79.0,,,,,,,,3.0,,2020-08-29 18:44:15.000,,,,,,,,,,,,,,,,,,,, +764,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,144,15.0,24.0,58.0,69.0,839,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,84.0,83.0,https://pypi.org/project/pytorch2keras,363.0,363.0,,,,,,,,3.0,,2020-05-14 10:03:56.000,1.0,,,,,,,,,,,,,,,,,,, +765,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,156,19.0,41.0,21.0,58.0,824,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,151.0,148.0,https://pypi.org/project/robustness,265.0,470.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7392.0,,,,,3.0,,2020-12-01 06:21:33.000,3.0,,,,,,,,,,,,,,,,,,, +766,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-06-12 22:12:53.000000,2023-06-12 22:12:53,449.0,2.0,71,25.0,157.0,41.0,60.0,746,,26.0,19,False,2022-02-01 00:17:20.000,1.6.0,7.0,objax,,,,['jax'],38.0,38.0,https://pypi.org/project/objax,512.0,512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +767,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-08-31 12:37:25.000000,2023-08-31 03:34:14,1060.0,139.0,119,32.0,887.0,15.0,50.0,737,Machine learning framework for both deep learning and traditional algorithms.,34.0,19,True,2021-06-22 05:25:53.000,NeoML-master_2.0.5.0,2.0,neoml,,,,,,,https://pypi.org/project/neoml,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +768,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,98,27.0,48.0,19.0,35.0,717,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,22.0,20.0,https://pypi.org/project/matrixprofile-ts,393.0,393.0,,,,,,,,3.0,,2019-08-08 01:24:38.000,2.0,,,,,,,,,,,,,,,,,,, +769,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-07-06 21:34:56.000000,2021-09-16 17:56:31,171.0,,143,35.0,79.0,14.0,55.0,584,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],21.0,18.0,https://pypi.org/project/tcav,104.0,104.0,,,,,,,,3.0,,2021-02-23 16:17:42.000,3.0,,,,,,,,,,,,,,,,,,, +770,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,2.0,70,40.0,17.0,13.0,22.0,550,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,31.0,27.0,https://pypi.org/project/n2,371.0,371.0,,,,,,,,3.0,,2020-10-16 03:10:01.000,4.0,,,,,,,,,,,,,,,,,,, +771,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-08-05 05:40:16.000000,2019-03-27 03:17:24,122.0,,107,71.0,7.0,15.0,19.0,411,semantic similarity framework for knowledge graph.,5.0,19,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,43.0,https://pypi.org/project/sematch,349.0,349.0,,,,,,,,3.0,,2017-04-17 10:56:52.000,3.0,,,,,,,,,,,,,,,,,,, +772,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-03-30 21:45:50.000000,2023-03-30 21:45:50,361.0,,95,18.0,3.0,5.0,27.0,405,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,47.0,47.0,https://pypi.org/project/chefboost,534.0,534.0,,,,,,,,3.0,,2022-02-16 06:14:54.000,,,,,,,,,,,,,,,,,,,, +773,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,38,11.0,29.0,17.0,17.0,401,A python package for animating plots build on matplotlib.,7.0,19,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,53.0,51.0,https://pypi.org/project/animatplot,158.0,383.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12180.0,,,,,3.0,,2020-10-05 06:20:52.000,2.0,,,,,,,,,,,,,,,,,,, +774,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-08-21 13:48:32.000000,2023-04-03 11:31:55,66.0,,57,8.0,10.0,9.0,13.0,334,TextAugment: Text Augmentation Library.,7.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,63.0,59.0,https://pypi.org/project/textaugment,3263.0,3264.0,,,,,,,,3.0,61.0,2020-11-05 15:02:11.000,4.0,,,,,,,,,,,,,,,,,,, +775,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-08-16 21:27:20.000000,2023-08-16 21:27:14,316.0,1.0,78,25.0,324.0,21.0,9.0,317,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2270.0,2270.0,,,,,,,,3.0,,2022-12-13 19:06:03.653,,,,,,,,,,,,,,,,,,,, +776,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-08-21 03:34:42.000000,2023-08-19 12:43:22,678.0,9.0,48,27.0,76.0,12.0,23.0,290,A Python implementation of active inference for Markov Decision Processes.,14.0,19,False,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,6.0,6.0,https://pypi.org/project/inferactively-pymdp,159.0,159.0,,,,,,,,3.0,,2022-12-08 15:25:01.498,,,,,,,,,,,,,,,,,,,, +777,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19,6.0,31.0,20.0,39.0,257,Streaming over lightweight data transformations.,5.0,19,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,222.0,222.0,,,,,,,,3.0,,2020-03-10 14:09:31.000,3.0,,,,,,,,,,,,,,,,,,, +778,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,1.0,30,11.0,197.0,21.0,73.0,178,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,19,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],28.0,27.0,https://pypi.org/project/celer,885.0,885.0,,,,,,,,3.0,,2023-07-26 15:36:39.000,1.0,,,,,,,,,,,,,,,,,,, +779,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57,5.0,2.0,2.0,1.0,114,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8140.0,7968.0,https://pypi.org/project/nvidia-ml-py3,330529.0,330566.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,938.0,,,,,3.0,,2017-06-03 07:43:46.000,172.0,,,,,,,,,,,,,,,,,,, +780,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765,338.0,58.0,2.0,,6560,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,49.0,56.0,,,,,,,,3.0,296.0,2018-02-17 00:12:46.000,,,,,,,,,,,,,,,,,,,, +781,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,866,108.0,51.0,42.0,159.0,6071,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],11.0,11.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +782,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-07-18 18:45:04.000000,2020-04-18 19:15:25,24.0,,738,119.0,33.0,28.0,7.0,6067,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],28.0,26.0,https://pypi.org/project/micrograd,533.0,533.0,,,,,,,,3.0,,2020-04-18 19:06:59.000,2.0,,,,,,,,,,,,,,,,,,, +783,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-08-30 17:31:38.000000,2023-08-30 17:31:31,596.0,40.0,338,36.0,699.0,149.0,74.0,2449,Scenic: A Jax Library for Computer Vision Research and Beyond.,67.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +784,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71,22.0,1004.0,127.0,65.0,1632,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,230.0,230.0,,,,,,,,3.0,,2021-01-25 21:51:16.000,1.0,,,,,,,,,,,,,,,,,,, +785,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,250,57.0,65.0,8.0,31.0,1332,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,44.0,44.0,,,,,,,,3.0,,2018-12-05 02:48:50.000,,,,,,,,,,,,,,,,,,,, +786,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188,34.0,15.0,18.0,22.0,784,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,53.0,53.0,,,,,,,,3.0,,2022-01-17 20:35:57.000,1.0,,,,,,,,,,,,,,,,,,, +787,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-04-14 10:59:37.000000,2023-04-14 10:59:37,29.0,,76,15.0,31.0,6.0,21.0,767,Leave One Feature Out Importance.,5.0,18,True,2023-04-15 05:47:00.405,0.3.3,13.0,lofo-importance,,,,,29.0,27.0,https://pypi.org/project/lofo-importance,804.0,804.0,,,,,,,,3.0,,2022-04-27 12:56:30.000,2.0,,,,,,,,,,,,,,,,,,, +788,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36,13.0,13.0,8.0,16.0,732,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],25.0,25.0,https://pypi.org/project/tensor-sensor,2289.0,2404.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2548.0,,,,,3.0,,2021-12-11 21:24:35.000,,,,,,,,,,,,,,,,,,,, +789,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-08-28 13:31:34.000000,2023-08-28 13:31:31,1294.0,9.0,119,43.0,434.0,25.0,130.0,697,GPU accelerated signal processing.,46.0,18,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +790,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-05-17 01:16:27.000000,2023-05-17 01:16:05,274.0,,104,19.0,19.0,,82.0,606,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",9.0,18,True,2023-05-17 01:18:01.881,0.0.71,34.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,4197.0,4197.0,,,,,,,,3.0,,2022-08-16 12:44:30.642,,,,,,,,,,,,,,,,,,,, +791,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-08-08 09:17:25.121000,2021-04-11 07:50:00,405.0,,29,19.0,42.0,6.0,18.0,593,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,9.0,8.0,https://pypi.org/project/baikal,157.0,55605.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1940700.0,,,,,3.0,,2020-11-15 13:40:18.000,1.0,,,,,,,,,,,,,,,,,,, +792,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137,59.0,72.0,18.0,71.0,522,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,15.0,15.0,https://pypi.org/project/atm,58.0,58.0,,,,,,,,3.0,,2019-07-30 09:25:11.000,,,,,,,,,,,,,,,,,,,, +793,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,63,11.0,10.0,21.0,41.0,499,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,38.0,38.0,https://pypi.org/project/fastt5,1442.0,1442.0,,,,,,,,3.0,,2022-04-05 03:23:12.000,,,,,,,,,,,,,,,,,,,, +794,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-08-22 03:48:05.000000,2022-08-24 08:31:37,29.0,,59,6.0,3.0,2.0,25.0,478,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,True,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2461.0,2461.0,,,,,,,,3.0,,2022-08-24 08:33:00.976,1.0,,,,,,,,,,,,,,,,,,, +795,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30,16.0,148.0,39.0,66.0,451,A High Level API for Deep Learning in JAX.,18.0,18,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,176.0,176.0,,,,,,,,3.0,,2022-04-22 15:42:03.000,,,,,,,,,,,,,,,,,,,, +796,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,87,24.0,18.0,7.0,20.0,446,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,190.0,190.0,,,,,,,,3.0,,2021-11-25 23:19:05.000,,,,,,,,,,,,,,,,,,,, +797,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,48,18.0,7.0,16.0,4.0,440,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],46.0,46.0,https://pypi.org/project/scikit-tda,3442.0,3442.0,,,,,,,,3.0,,2021-08-03 00:23:20.000,,,,,,,,,,,,,,,,,,,, +798,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-08-25 16:58:48.000000,2023-08-25 16:58:43,128.0,23.0,40,19.0,157.0,3.0,63.0,379,A collection of tools for neural compression enthusiasts.,9.0,18,True,2023-08-25 15:41:43.000,0.3.0,5.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,204.0,204.0,,,,,,,,3.0,,2023-08-25 15:41:43.000,,,,,,,,,,,,,,,,,,,, +799,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41,,,,,357,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,4850.0,4850.0,,,,,,,,3.0,,2020-12-28 15:13:44.000,5.0,,,,,,,,,,,,,,,,,,, +800,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51,11.0,60.0,16.0,41.0,324,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,175.0,175.0,,,,,,,,3.0,,2019-11-23 21:32:27.000,4.0,,,,,,,,,,,,,,,,,,, +801,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-08-31 07:17:43.000000,2023-08-31 07:17:39,809.0,21.0,21,7.0,67.0,26.0,18.0,314,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,8.0,8.0,https://pypi.org/project/tsflex,217.0,946.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,18238.0,,,,,3.0,,2022-10-11 21:38:11.312,,,,,,,,,,,,,,,,,,,, +802,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,72,19.0,93.0,25.0,18.0,309,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2329.0,2329.0,,,,,,,,3.0,8.0,2019-03-05 01:35:23.000,11.0,,,,,,,,,,,,,,,,,,, +803,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:25:50.000000,2023-01-11 12:11:20,623.0,,37,12.0,60.0,3.0,56.0,302,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/ivis,417.0,417.0,,,,,,,,3.0,,2022-03-10 14:57:02.000,2.0,,,,,,,,,,,,,,,,,,, +804,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-07-25 21:26:27.000000,2023-03-31 15:44:32,231.0,,21,28.0,52.0,7.0,7.0,100,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,18,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],34.0,34.0,https://pypi.org/project/collie,66.0,66.0,,,,,,,,3.0,,2022-01-18 23:07:16.000,,,,,,,,,,,,,,,,,,,, +805,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383,471.0,21.0,59.0,166.0,6902,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +806,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028,119.0,24.0,9.0,352.0,4073,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,17,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +807,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,464,81.0,36.0,83.0,68.0,1661,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,84.0,84.0,,,,,,,,3.0,,2019-10-02 23:30:15.000,,,,,,,,,,,,,,,,,,,, +808,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,258,51.0,13.0,20.0,13.0,1527,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,53.0,76.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1682.0,3.0,,2018-10-18 02:54:09.000,,,,,,,,,,,,,,,,,,,, +809,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,142,17.0,11.0,25.0,18.0,1147,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,True,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],48.0,46.0,https://pypi.org/project/tez,504.0,504.0,,,,,,,,3.0,,2022-09-20 02:28:33.973,2.0,,,,,,,,,,,,,,,,,,, +810,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,85,34.0,72.0,25.0,30.0,1088,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,4643.0,4643.0,,,,,,,,3.0,,2021-02-14 02:43:46.000,,,,,,,,,,,,,,,,,,,, +811,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,111,21.0,37.0,20.0,8.0,1033,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,62.0,61.0,https://pypi.org/project/fiber,44.0,44.0,,,,,,,,3.0,,2020-07-09 03:28:28.000,1.0,,,,,,,,,,,,,,,,,,, +812,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-05-29 09:36:13.000000,2021-10-13 21:05:33,5078.0,,92,20.0,58.0,2.0,13.0,710,"A lightweight Computer Vision library. Scale your models, not boilerplate.",,17,False,2021-10-06 07:29:20.000,2.0.3,13.0,caer,,,https://caer.rtfd.io,,,,https://pypi.org/project/caer,2351.0,2351.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,,, +813,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,52,13.0,10.0,24.0,17.0,705,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,28.0,28.0,https://pypi.org/project/parallelformers,3539.0,3539.0,,,,,,,,3.0,,2022-07-27 19:52:00.185,,,,,,,,,,,,,,,,,,,, +814,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-07-21 04:27:42.000000,2022-09-13 05:57:00,608.0,,87,25.0,4.0,36.0,42.0,672,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,37.0,37.0,,,,,,,,3.0,,2022-09-19 20:15:07.376,,,,,,,,,,,,,,,,,,,, +815,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65,19.0,21.0,29.0,50.0,666,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,61.0,61.0,,,,,,,,3.0,,2020-06-12 20:05:15.000,,,,,,,,,,,,,,,,,,,, +816,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-05-11 15:22:02.000000,2023-05-11 15:21:58,809.0,,37,15.0,16.0,,19.0,573,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2022-09-09 15:00:41.386,3.1.2,26.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,247.0,247.0,,,,,,,,3.0,,2022-05-04 20:51:15.000,,,,,,,,,,,,,,,,,,,, +817,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,118,19.0,17.0,67.0,24.0,497,Python package for performing Entity and Text Matching using Deep Learning.,7.0,17,False,,,,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,2807.0,2807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +818,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-08-22 10:52:57.000000,2023-08-17 22:34:03,123.0,34.0,17,6.0,36.0,,7.0,407,"Multi-Modal AI inference library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-..",9.0,17,True,2023-08-17 22:35:13.000,0.4.2,18.0,uform,,,,['pytorch'],6.0,6.0,https://pypi.org/project/uform,987.0,987.0,,,,,,,,3.0,,2023-08-17 22:35:13.000,,,,,,,,,,,,,,,,,,,, +819,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17,6.0,217.0,2.0,26.0,340,Camphr - NLP libary for creating pipeline components.,7.0,17,False,2020-08-21 04:45:06.000,0.7.0,21.0,camphr,,,,['spacy'],13.0,13.0,https://pypi.org/project/camphr,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +820,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,65,28.0,57.0,29.0,32.0,288,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,53.0,56.0,,,,,,,,3.0,146.0,2021-05-15 01:39:45.000,,,,,,,,,,,,,,,,,,,, +821,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-07-24 15:05:59.000000,2023-07-17 09:18:00,166.0,3.0,39,20.0,2.0,10.0,7.0,277,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,290.0,2614.0,https://anaconda.org/conda-forge/deepgraph,2023-06-16 13:21:31.322,167365.0,,,,,3.0,,2020-10-01 13:18:38.000,,,,,,,,,,,,,,,,,,,, +822,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24,11.0,8.0,1.0,10.0,234,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,2431.0,2431.0,,,,,,,,3.0,,2018-03-15 09:05:47.000,,,,,,,,,,,,,,,,,,,, +823,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,1.0,42,11.0,59.0,31.0,47.0,225,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],14.0,12.0,https://pypi.org/project/skggm,38.0,38.0,,,,,,,,3.0,,2018-09-12 01:12:49.000,2.0,,,,,,,,,,,,,,,,,,, +824,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33,14.0,36.0,8.0,44.0,223,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,22.0,20.0,https://pypi.org/project/muda,50.0,50.0,,,,,,,,3.0,,2019-11-15 15:46:21.000,2.0,,,,,,,,,,,,,,,,,,, +825,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-06-18 08:40:33.534000,2023-04-22 13:39:45,369.0,,38,6.0,130.0,,35.0,218,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,128.0,263.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2579.0,,,,,3.0,,2021-06-19 15:04:46.000,1.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,, +826,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-08-29 11:38:07.000000,2023-06-16 18:49:30,400.0,1.0,45,13.0,68.0,11.0,29.0,208,Represent trained machine learning models as Pyomo optimization formulations.,13.0,17,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,7274.0,7274.0,,,,,,,,3.0,,2022-02-08 01:23:07.000,1.0,,,,,,,,,,,,,,,,,,, +827,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,522,178.0,110.0,49.0,149.0,3886,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +828,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,945,60.0,12.0,42.0,25.0,3397,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +829,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560,140.0,28.0,217.0,102.0,2852,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,3.0,3.0,,,,,,,,3.0,,2019-04-10 01:53:45.000,,,,,,,,,,,,,,,,,,,, +830,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109,57.0,34.0,22.0,13.0,1267,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,43.0,43.0,,,,,,,,3.0,,2017-08-21 00:49:41.000,1.0,,,,,,,,,,,,,,,,,,, +831,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,115,18.0,295.0,4.0,62.0,1017,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2.0,2.0,,,,,,,,3.0,,2021-04-15 09:35:06.000,,,,,,,,,,,,,,,,,,,, +832,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,145,45.0,5.0,2.0,7.0,932,XAI - An eXplainability toolbox for machine learning.,3.0,16,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,143.0,143.0,,,,,,,,3.0,,2021-10-30 06:33:26.000,6.0,,,,,,,,,,,,,,,,,,, +833,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56,19.0,7.0,1.0,10.0,787,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],61.0,60.0,https://pypi.org/project/madgrad,4043.0,4043.0,,,,,,,,3.0,,2022-03-08 18:23:32.000,1.0,,,,,,,,,,,,,,,,,,, +834,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,106,27.0,10.0,24.0,51.0,757,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,1491.0,1491.0,,,,,,,,3.0,,2020-09-10 22:52:00.000,2.0,,,,,,,,,,,,,,,,,,, +835,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100,26.0,101.0,37.0,84.0,702,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,103.0,109.0,,,,,,,,3.0,411.0,2018-06-14 02:21:57.000,1.0,,,,,,,,,,,,,,,,,,, +836,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94,18.0,19.0,3.0,29.0,614,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,11.0,11.0,https://pypi.org/project/textflint,85.0,85.0,,,,,,,,3.0,,2022-03-15 07:18:47.000,,,,,,,,,,,,,,,,,,,, +837,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98,38.0,106.0,11.0,51.0,545,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,66.0,70.0,,,,,,,,3.0,220.0,2020-08-19 15:39:10.000,,,,,,,,,vaticle/typedb-ml,,,,,,,,,,, +838,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-08-17 15:56:17.000000,2023-08-01 21:46:06,256.0,2.0,69,22.0,86.0,19.0,15.0,486,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,25.0,25.0,,,,,,,,3.0,,2020-09-12 19:41:23.000,,,,,,,,,,,,,,,,,,,, +839,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,1.0,73,14.0,126.0,14.0,136.0,441,A Python library for dynamic classifier and ensemble selection.,16.0,16,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],2.0,,https://pypi.org/project/deslib,983.0,983.0,,,,,,,,3.0,,2021-02-08 06:29:25.000,2.0,,,,,,,,,,,,,,,,,,, +840,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49,10.0,14.0,12.0,17.0,363,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,16,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2591.0,2591.0,,,,,,,,3.0,11.0,2021-02-04 16:44:24.000,,,,,,,,,,,,,,,,,,,, +841,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38,21.0,5.0,11.0,23.0,352,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,38.0,38.0,,,,,,,,3.0,,2017-03-30 10:51:26.000,2.0,,,,,,,,,,,,,,,,,,, +842,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33,24.0,21.0,17.0,10.0,346,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,88.0,81.0,https://pypi.org/project/pdvega,84.0,84.0,,,,,,,,3.0,,2018-02-01 04:56:43.000,7.0,,,,,,,,,,,,,,,,,,, +843,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29,11.0,121.0,31.0,150.0,345,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,20.0,20.0,,,,,,,,3.0,,2018-12-07 06:16:42.000,,,,,,,,,,,,,,,,,,,, +844,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27,22.0,239.0,15.0,25.0,300,Textpipe: clean and extract metadata from text.,29.0,16,False,,,,textpipe,,,,,8.0,8.0,https://pypi.org/project/textpipe,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +845,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18,14.0,271.0,70.0,175.0,295,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,16,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,8016.0,8016.0,,,,,,,,3.0,,2020-12-03 23:07:43.000,,,,,,,,,,,,,,,,,,,, +846,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,27,5.0,4.0,6.0,5.0,199,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],25.0,25.0,https://pypi.org/project/parfit,4589.0,4589.0,,,,,,,,3.0,,2018-10-11 22:03:16.000,,,,,,,,,,,,,,,,,,,, +847,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,20,5.0,2.0,15.0,23.0,182,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],10.0,10.0,https://pypi.org/project/hugsvision,520.0,520.0,,,,,,,,3.0,,2023-01-22 01:21:35.467,,,,,,,,,,,,,,,,,,,, +848,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11,6.0,2.0,1.0,5.0,159,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,254.0,254.0,,,,,,,,3.0,,2021-12-07 18:44:34.000,2.0,,,,,,,,,,,,,,,,,,, +849,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-08-30 09:27:31.000000,2023-08-24 10:05:07,820.0,11.0,16,8.0,163.0,14.0,20.0,146,Toolkit for developing and maintaining ML models.,14.0,16,False,2023-08-24 10:06:11.000,0.0.30,30.0,modelkit,,,,,,,https://pypi.org/project/modelkit,548.0,548.0,,,,,,,,3.0,,2023-08-24 10:06:11.000,,,,,,,,,,,,,,,,,,,, +850,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32,14.0,54.0,16.0,50.0,136,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,33.0,33.0,,,,,,,,3.0,,2018-11-23 09:49:59.000,5.0,,,,,,,,,,,,,,,,,,, +851,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,947,100.0,27.0,16.0,352.0,3517,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +852,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423,143.0,72.0,12.0,53.0,2187,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +853,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,165,61.0,10.0,26.0,6.0,1823,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,15,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,19.0,19.0,,,,,,,,3.0,41.0,2019-04-05 06:47:54.000,,,,,,,,,,,,,,,,,,,, +854,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483,67.0,26.0,5.0,96.0,1649,An Open-Source Package for Network Embedding (NE).,11.0,15,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +855,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2023-07-18 12:33:22.000000,2022-04-04 08:29:54,41.0,,294,53.0,19.0,42.0,85.0,1220,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +856,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-06-12 21:29:28.000000,2021-04-02 03:03:34,211.0,,209,40.0,39.0,56.0,34.0,1080,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +857,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-06-16 02:32:11.000000,2022-12-30 06:04:33,733.0,,110,28.0,108.0,9.0,22.0,949,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,1.0,1.0,,,,,,,,3.0,,2020-12-23 08:05:25.000,,,,,,,,,,,,,,,,,,,, +858,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121,51.0,21.0,15.0,9.0,820,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,80.0,80.0,,,,,,,,3.0,,2018-11-24 00:29:36.000,,,,,,,,,,,,,,,,,,,, +859,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,196,44.0,667.0,28.0,27.0,801,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,13.0,13.0,,,,,,,,3.0,,2018-05-01 19:59:40.000,,,,,,,,,,,,,,,,,,,, +860,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-04-04 09:45:40.000000,2020-05-29 14:37:29,126.0,,88,17.0,15.0,10.0,22.0,712,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,104.0,104.0,,,,,,,,3.0,,2020-05-29 14:38:32.000,,,,,,,,,,,,,,,,,,,, +861,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,40,26.0,4.0,4.0,2.0,666,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,98.0,98.0,,,,,,,,3.0,,2020-01-06 05:27:17.000,2.0,,,,,,,,,,,,,,,,,,, +862,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,50,17.0,83.0,18.0,49.0,538,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,75.0,75.0,,,,,,,,3.0,,2022-05-18 08:35:04.000,,,,,,,,,,,,,,,,,,,, +863,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84,37.0,47.0,5.0,12.0,401,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,22.0,22.0,,,,,,,,3.0,,2020-02-18 06:52:11.000,1.0,,,,,,,,,,,,,,,,,,, +864,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38,16.0,39.0,2.0,13.0,394,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,65.0,65.0,,,,,,,,3.0,,2021-10-22 03:19:11.000,,,,,,,,,,,,,,,,,,,, +865,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56,19.0,6.0,6.0,,381,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,37.0,186.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5526.0,,,,,3.0,,2018-08-29 15:14:41.000,1.0,,,,,,,,,,,,,,,,,,, +866,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33,8.0,72.0,31.0,8.0,225,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,56.0,56.0,,,,,,,,3.0,,2020-09-18 17:54:50.000,,,,,,,,,,,,,,,,,,,, +867,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51.0,,25,11.0,14.0,6.0,4.0,216,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,789.0,789.0,,,,,,,,3.0,,2020-06-02 21:11:12.000,4.0,,,,,,,,,,,,,,,,,,, +868,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9,5.0,3.0,1.0,,124,Data Analysis Baseline Library.,23.0,15,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,1507.0,1507.0,,,,,,,,3.0,,2022-11-03 05:52:04.962,,,,,,,,,,,,,,,,,,,, +869,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818,77.0,34.0,116.0,59.0,3128,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +870,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,476,110.0,12.0,39.0,8.0,2641,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +871,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,169,38.0,10.0,13.0,3.0,1306,A web app to generate template code for machine learning.,3.0,14,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +872,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,146,32.0,,50.0,59.0,1148,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,97.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +873,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,86,21.0,18.0,22.0,2.0,492,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,145.0,145.0,,,,,,,,3.0,,2020-04-24 18:16:15.000,,,,,,,,,,,,,,,,,,,, +874,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-07-11 13:38:58.000000,2023-07-11 13:38:50,71.0,1.0,57,17.0,57.0,7.0,9.0,434,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,14,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,61.0,61.0,,,,,,,,3.0,,2020-08-07 01:13:52.000,,,,,,,,,,,,,,,,,,,, +875,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40,12.0,17.0,2.0,5.0,372,A PyTorch Graph Neural Network Library.,7.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,103.0,103.0,,,,,,,,3.0,,2021-10-21 21:43:04.000,,,,,,,,,,,,,,,,,,,, +876,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15,11.0,6.0,9.0,6.0,298,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,112.0,112.0,,,,,,,,3.0,,2021-03-08 12:51:05.000,,,,,,,,,,,,,,,,,,,, +877,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12,16.0,14.0,5.0,4.0,241,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,191.0,191.0,,,,,,,,3.0,,2021-04-20 13:53:12.000,,,,,,,,,,,,,,,,,,,, +878,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26,8.0,16.0,4.0,6.0,189,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,14,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,29.0,29.0,,,,,,,,3.0,,2020-12-03 14:17:09.000,,,,,,,,,,,,,,,,,,,, +879,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,36,1.0,,,,158,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,,,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +880,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-08-07 12:46:14.000000,2023-08-07 12:45:03,300.0,30.0,7,8.0,121.0,11.0,6.0,97,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,14,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +881,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,72,46.0,4.0,1.0,,2340,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],,,https://pypi.org/project/ane-transformers,1794.0,1797.0,,,,,,,,3.0,47.0,2022-08-09 04:22:00.465,,,,,,,,,,,,,,,,,,,, +882,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,395,63.0,6.0,62.0,17.0,1685,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,13,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +883,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,,40,11.0,7.0,2.0,11.0,611,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,84.0,84.0,https://pypi.org/project/rliable`,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +884,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-01-06 03:52:07.000000,2021-12-06 17:38:41,146.0,,66,20.0,167.0,87.0,17.0,376,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,False,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,105.0,105.0,,,,,,,,3.0,,2021-12-07 01:57:31.000,,,,,,,,,,,,,,,,,,,, +885,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,35,12.0,8.0,9.0,3.0,314,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,854.0,854.0,,,,,,,,3.0,,2020-04-17 02:50:25.000,2.0,,,,,,,,,,,,,,,,,,, +886,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,19,12.0,57.0,4.0,20.0,291,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,27.0,27.0,,,,,,,,3.0,,2020-05-28 19:00:02.000,,,,,,,,,,,,,,,,,,,, +887,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28,8.0,6.0,7.0,8.0,235,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:24:24.000,0.1.9,9.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +888,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-08-31 12:56:30.000000,2021-08-01 07:11:57,363.0,,12,5.0,1194.0,4.0,10.0,125,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,89.0,100.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,2019-04-09 10:41:20.000,,,,,,,,,,,,,,,,,,,, +889,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34,14.0,18.0,27.0,16.0,116,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,35.0,35.0,,,,,,,,3.0,,2019-06-10 21:04:04.000,,,,,,,,,,,,,,,,,,,, +890,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11,7.0,4.0,5.0,13.0,91,A spaCy wrapper for DBpedia Spotlight.,5.0,13,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,675.0,675.0,,,,,,,,3.0,,2022-10-07 09:58:11.751,,,,,,,,,,,,,,,,,,,, +891,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,10,14.0,26.0,4.0,13.0,83,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,13,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,31.0,31.0,,,,,,,,3.0,,2021-01-25 04:56:57.000,,,,,,,,,,,,,,,,,,,, +892,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12,7.0,20.0,3.0,,48,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,111.0,111.0,,,,,,,,3.0,,2020-12-14 14:49:33.000,,,,,,,,,,,,,,,,,,,, +893,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2,3.0,3.0,7.0,6.0,31,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,64.0,64.0,,,,,,,,3.0,,2021-12-23 15:53:08.000,,,,,,,,,,,,,,,,,,,, +894,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,302,87.0,11.0,12.0,6.0,1625,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42.0,,48,16.0,2.0,2.0,1.0,510,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,38.0,38.0,,,,,,,,3.0,,2020-04-09 01:48:32.000,,,,,,,,,,,,,,,,,,,, +896,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,24.0,43,13.0,13.0,7.0,9.0,439,Library for Textless Spoken Language Processing.,8.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +897,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-08-27 14:21:13.000000,2022-11-21 12:12:41,1044.0,,11,6.0,26.0,1.0,2.0,246,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,79.0,87.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,240.0,3.0,,2021-12-13 16:04:42.000,,,,,,,,,,,,,,,,,,,, +898,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9,6.0,,2.0,4.0,116,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,31.0,31.0,,,,,,,,3.0,,2019-10-31 18:03:05.000,,,,,,,,,,,,,,,,,,,, +899,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207.0,,11,13.0,5.0,3.0,2.0,108,"Better, faster hyper-parameter optimization.",9.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,40.0,40.0,,,,,,,,3.0,,2019-10-23 15:40:12.000,,,,,,,,,,,,,,,,,,,, +900,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8,7.0,4.0,14.0,18.0,82,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,41.0,41.0,,,,,,,,3.0,,2021-06-25 14:27:32.000,,,,,,,,,,,,,,,,,,,, +901,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416,96.0,17.0,48.0,15.0,3244,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +902,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112,47.0,13.0,7.0,20.0,951,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +903,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143,40.0,7.0,15.0,14.0,909,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +904,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41,17.0,7.0,2.0,13.0,230,Easy training and deployment of seq2seq models.,2.0,11,False,,,,headliner,,,,,4.0,4.0,https://pypi.org/project/headliner,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +905,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26,22.0,44.0,1.0,5.0,198,An automatic ML model optimization tool.,11.0,11,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,20.0,20.0,,,,,,,,3.0,,2021-03-02 02:40:32.000,,,,,,,,,,,,,,,,,,,, +906,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12,12.0,15.0,,,43,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,36.0,36.0,,,,,,,,3.0,,2021-04-22 15:20:54.000,,,,,,,,,,,,,,,,,,,, +907,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,72,18.0,5.0,2.0,12.0,498,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +908,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20,12.0,41.0,7.0,12.0,358,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +909,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24,17.0,51.0,11.0,1.0,128,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,11.0,11.0,,,,,,,,3.0,,2020-07-16 05:36:19.000,,,,,,,,,,,,,,,,,,,, +910,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10,10.0,44.0,,2.0,136,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,32.0,32.0,,,,,,,,3.0,,2020-01-26 23:08:16.000,,,,,,,,,,,,,,,,,,,, +911,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,24,7.0,2.0,2.0,6.0,134,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,11.0,11.0,,,,,,,,3.0,,2020-03-13 20:31:47.000,,,,,,,,,,,,,,,,,,,, +912,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,2,4.0,,,,50,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,8.0,8.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,2022-11-22 17:50:34.944,1.0,,,,,,,,,,,,,,,,,,, +913,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1,4.0,,,,12,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,10.0,10.0,,,,,,,,3.0,,2020-11-02 02:25:32.000,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index eef255f2..ca29fb88 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- PyTorch (πŸ₯‡51 Β· ⭐ 70K Β· πŸ“ˆ) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- InsightFace (πŸ₯‡36 Β· ⭐ 18K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- tensorflow-hub (πŸ₯‡35 Β· ⭐ 3.4K Β· πŸ“ˆ) - A library for transfer learning by reusing parts of.. Apache-2 -- DeepSpeech (πŸ₯ˆ34 Β· ⭐ 23K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- torchtext (πŸ₯ˆ33 Β· ⭐ 3.4K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 -- Tesseract (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- vega (πŸ₯‰24 Β· ⭐ 360 Β· πŸ“ˆ) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- sklearn-evaluation (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +- Plotly (πŸ₯‡43 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +- Catboost (πŸ₯ˆ41 Β· ⭐ 7.3K Β· πŸ“ˆ) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 +- PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +- PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +- HoloViews (πŸ₯ˆ35 Β· ⭐ 2.5K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 +- opencv-python (πŸ₯ˆ34 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Sweetviz (πŸ₯‰29 Β· ⭐ 2.6K Β· πŸ“ˆ) - Visualize and compare datasets, target values and associations, with.. MIT +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K Β· πŸ“ˆ) - The friendly PIL fork. ❗️PIL ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- Bokeh (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“‰) - Interactive Data Visualization in the browser, from Python. BSD-3 -- Catboost (πŸ₯ˆ36 Β· ⭐ 7.3K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 -- PyTorch Geometric (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- PyQtGraph (πŸ₯ˆ34 Β· ⭐ 3.4K Β· πŸ“‰) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed -- glfw (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ“‰) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K Β· πŸ“‰) - Neural Network Libraries. Apache-2 -- CuPy (πŸ₯‰26 Β· ⭐ 7.1K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- Pillow-SIMD (πŸ₯‰21 Β· ⭐ 2K Β· πŸ“‰) - The friendly PIL fork. ❗️PIL -- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- PyTorch (πŸ₯‡47 Β· ⭐ 70K Β· πŸ“‰) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +- Keras (πŸ₯‡43 Β· ⭐ 59K Β· πŸ“‰) - Deep Learning for humans. Apache-2 +- PyTorch Image Models (πŸ₯‡36 Β· ⭐ 27K Β· πŸ“‰) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +- Theano (πŸ₯ˆ36 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed +- InsightFace (πŸ₯ˆ32 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed +- torchtext (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ“‰) - Models, data loaders and abstractions for language.. BSD-3 +- scattertext (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ“‰) - Beautiful visualizations of how language differs among.. Apache-2 +- DeepSpeech (πŸ₯‰24 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- FATE (πŸ₯‰22 Β· ⭐ 5.2K Β· πŸ“‰) - An Industrial Grade Federated Learning Framework. Apache-2