From 53163849aced37460297bef63a92dfb062ac6b50 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 24 Aug 2023 14:58:13 +0000 Subject: [PATCH] Update best-of list for version 2023.08.24 --- README.md | 3621 +++++++++++++++---------------- history/2023-08-24_changes.md | 30 + history/2023-08-24_projects.csv | 915 ++++++++ latest-changes.md | 40 +- 4 files changed, 2760 insertions(+), 1846 deletions(-) create mode 100644 history/2023-08-24_changes.md create mode 100644 history/2023-08-24_projects.csv diff --git a/README.md b/README.md index 71be3439..18eac980 100644 --- a/README.md +++ b/README.md @@ -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”€ 72K Β· πŸ“¦ 300K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month Β· πŸ“¦ 15K Β· ⏱️ 17.08.2023): ``` 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· ⏱️ 17.08.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 24.08.2023): ``` docker pull tensorflow/tensorflow ```
scikit-learn (πŸ₯‡52 Β· ⭐ 55K) - 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“¦ 580K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 40M / month Β· πŸ“¦ 29K Β· ⏱️ 30.06.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 41M / month Β· πŸ“¦ 29K Β· ⏱️ 30.06.2023): ``` 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₯‡47 Β· ⭐ 70K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡51 Β· ⭐ 70K Β· πŸ“ˆ) - 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”€ 18K Β· πŸ“₯ 22K Β· πŸ“¦ 10 Β· πŸ“‹ 36K - 32% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 11M / month Β· πŸ“¦ 10K Β· ⏱️ 08.05.2023): ``` pip install torch ``` @@ -151,30 +151,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
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StatsModels (πŸ₯‡45 Β· ⭐ 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
Keras (πŸ₯‡45 Β· ⭐ 59K) - Deep Learning for humans. Apache-2 -- [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): +- [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): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month Β· πŸ“¦ 620 Β· ⏱️ 03.08.2023): ``` - pip install statsmodels + pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 11M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.2M Β· ⏱️ 28.07.2023): ``` - conda install -c conda-forge statsmodels + conda install -c conda-forge keras ```
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XGBoost (πŸ₯‡44 Β· ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
XGBoost (πŸ₯‡44 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 6.9K Β· πŸ“¦ 64K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 10M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.06.2023): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 10M / month Β· πŸ“¦ 1.7K Β· ⏱️ 17.08.2023): ``` pip install xgboost ``` @@ -183,46 +183,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge xgboost ```
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Keras (πŸ₯‡43 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”€ 18K Β· πŸ“¦ 10 Β· πŸ“‹ 12K - 2% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/keras-team/keras + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 11M / month Β· πŸ“¦ 5.2K Β· ⏱️ 05.05.2023): ``` - 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 ```
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 - 26% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 2.9M / month): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 2.8M / month): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 880K Β· ⏱️ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 890K 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”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 24K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.4M / month Β· πŸ“¦ 780 Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.3M / month): ``` pip install lightgbm ``` @@ -233,7 +233,7 @@ _General-purpose machine learning and deep learning frameworks._
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· ⏱️ 17.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -245,16 +245,16 @@ _General-purpose machine learning and deep learning frameworks._
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“¦ 890 Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 10.08.2023): +- [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): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 240K / month Β· πŸ“¦ 14 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 230K / month): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 53K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 54K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jina-core ``` @@ -263,37 +263,21 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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Catboost (πŸ₯ˆ40 Β· ⭐ 7.3K) - A fast, scalable, high performance Gradient Boosting on Decision.. 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· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/catboost/catboost - ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month Β· πŸ“¦ 320 Β· ⏱️ 01.05.2023): - ``` - pip install catboost - ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge catboost - ``` -
Fastai (πŸ₯ˆ39 Β· ⭐ 24K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 14K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 330K / month Β· πŸ“¦ 330 Β· ⏱️ 28.03.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 320K / month): ``` pip install fastai ```
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PySpark (πŸ₯ˆ38 Β· ⭐ 36K) - Apache Spark Python API. Apache-2 +
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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 24.08.2023): ``` git clone https://github.com/apache/spark @@ -302,35 +286,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.7M Β· ⏱️ 27.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.8M Β· ⏱️ 27.06.2023): ``` conda install -c conda-forge pyspark ```
pytorch-lightning (πŸ₯ˆ38 Β· ⭐ 24K) - 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· ⏱️ 17.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.1M / month): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.2M / month): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 910K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 920K Β· ⏱️ 16.08.2023): ``` conda install -c conda-forge pytorch-lightning ```
MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.6K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.7K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 420K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 430K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): ``` pip install mxnet ``` @@ -339,14 +323,30 @@ _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 + ``` +
Flax (πŸ₯ˆ37 Β· ⭐ 4.6K) - 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“¦ 4K Β· πŸ“‹ 720 - 13% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 500 Β· πŸ“₯ 49 Β· πŸ“¦ 4.1K Β· πŸ“‹ 730 - 13% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.5M / month): ``` pip install flax ``` @@ -355,44 +355,48 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge flax ```
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ivy (πŸ₯ˆ36 Β· ⭐ 13K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +
ivy (πŸ₯ˆ36 Β· ⭐ 13K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.1K Β· πŸ“¦ 80 Β· πŸ“‹ 13K - 32% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy-core) (πŸ“₯ 72 / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): +- [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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Thinc (πŸ₯ˆ36 Β· ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT +
Catboost (πŸ₯ˆ36 Β· ⭐ 7.3K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 260 Β· πŸ“¦ 35K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 11.08.2023): +- [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/explosion/thinc + git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.7M / month): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month): ``` - pip install thinc + pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.6M Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge thinc + conda install -c conda-forge catboost ```
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PyFlink (πŸ₯ˆ34 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 +
Thinc (πŸ₯ˆ36 Β· ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/apache/flink + git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 62K / month): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.6M / month Β· πŸ“¦ 630 Β· ⏱️ 11.08.2023): ``` - pip install apache-flink + pip install thinc + ``` +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.6M Β· ⏱️ 11.08.2023): + ``` + conda install -c conda-forge thinc ```
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 @@ -402,7 +406,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month): ``` pip install vowpalwabbit ``` @@ -411,14 +415,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
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einops (πŸ₯ˆ34 Β· ⭐ 7.1K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT +
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“¦ 15K Β· πŸ“‹ 150 - 18% open Β· ⏱️ 14.08.2023): +- [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): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.2M / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.4M / month): ``` pip install einops ``` @@ -429,12 +433,12 @@ _General-purpose machine learning and deep learning frameworks._
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’» 320 Β· πŸ”€ 1.3K 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”€ 1.4K 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): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 18K / month Β· πŸ“¦ 400 Β· ⏱️ 05.01.2022): ``` pip install chainer ``` @@ -443,46 +447,42 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge chainer ```
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skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
PyFlink (πŸ₯ˆ33 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 350 Β· πŸ“¦ 930 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 10 Β· ⏱️ 24.08.2023): ``` - git clone https://github.com/skorch-dev/skorch - ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 72K / month): - ``` - pip install skorch + git clone https://github.com/apache/flink ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 770K Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 57K / month): ``` - conda install -c conda-forge skorch + pip install apache-flink ```
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mlpack (πŸ₯‰32 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 12.08.2023): +- [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): ``` - git clone https://github.com/mlpack/mlpack + git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 29.12.2022): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 69K / month): ``` - pip install mlpack + pip install skorch ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 160K Β· ⏱️ 17.06.2023): +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 770K Β· ⏱️ 08.08.2023): ``` - conda install -c conda-forge mlpack + conda install -c conda-forge skorch ```
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· ⏱️ 04.08.2023): +- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 220 Β· πŸ“¦ 1.4K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 170K / month): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 180K / month): ``` pip install dm-haiku ``` @@ -498,7 +498,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 27K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 25K / month): ``` pip install dm-sonnet ``` @@ -507,14 +507,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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Ludwig (πŸ₯‰31 Β· ⭐ 9.1K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 +
Ludwig (πŸ₯‰31 Β· ⭐ 9.2K) - 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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.1K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.3K / month): ``` pip install ludwig ``` @@ -526,7 +526,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 16K / month): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 15K / month): ``` pip install tensorpack ``` @@ -537,12 +537,12 @@ _General-purpose machine learning and deep learning frameworks._
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”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 14.08.2023): +- [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“₯ 2.8K / month Β· πŸ“¦ 5 Β· ⏱️ 09.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 09.07.2023): ``` pip install tensorflow-rocm ``` @@ -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“₯ 580 / month Β· πŸ“¦ 19 Β· ⏱️ 09.12.2020): +- [PyPi](https://pypi.org/project/cntk) (πŸ“₯ 530 / 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· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 92K / month): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 88K / month): ``` pip install pytorch-ignite ``` @@ -582,90 +582,90 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 30K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 27K / 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 +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 340 Β· πŸ“₯ 700 Β· πŸ“‹ 91 - 37% open Β· ⏱️ 08.08.2023): +- [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): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.9K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 22K / month): ``` - pip install nnabla + pip install ktrain ```
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Determined (πŸ₯‰30 Β· ⭐ 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2 +
Geomstats (πŸ₯‰30 Β· ⭐ 980) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 6.9K Β· πŸ“‹ 410 - 30% open Β· ⏱️ 16.08.2023): +- [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): ``` - git clone https://github.com/determined-ai/determined + git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 13K / month Β· πŸ“¦ 4 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.9K / month): ``` - pip install determined + pip install geomstats + ``` +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.5K Β· ⏱️ 04.08.2023): + ``` + conda install -c conda-forge geomstats ```
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EvaDB (πŸ₯‰30 Β· ⭐ 2.2K) - Database system for building simpler and faster AI-powered.. Apache-2 +
Determined (πŸ₯‰29 Β· ⭐ 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 160 Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7K Β· πŸ“‹ 320 - 9% open Β· ⏱️ 24.08.2023): ``` - git clone https://github.com/georgia-tech-db/eva + git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 490 / month): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 15K / month): ``` - pip install evadb + pip install determined ```
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ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 +
EvaDB (πŸ₯‰29 Β· ⭐ 2.2K) - Database system for building simpler and faster AI-powered.. 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): +- [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/amaiya/ktrain + git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 520 / month Β· ⏱️ 20.06.2022): ``` - pip install ktrain + pip install evadb ```
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Geomstats (πŸ₯‰30 Β· ⭐ 980) - Computations and statistics on manifolds with geometric structures. MIT +
Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K Β· πŸ“‰) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 220 Β· πŸ“¦ 76 Β· πŸ“‹ 540 - 37% open Β· ⏱️ 27.07.2023): +- [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): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.3K / month Β· πŸ“¦ 3 Β· ⏱️ 28.06.2023): - ``` - pip install geomstats + git clone https://github.com/sony/nnabla ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.5K Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month): ``` - conda install -c conda-forge geomstats + pip install nnabla ```
Towhee (πŸ₯‰27 Β· ⭐ 2.6K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“₯ 1.2K Β· πŸ“‹ 630 - 2% open Β· ⏱️ 14.08.2023): +- [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/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.1K / month Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.6K / month Β· ⏱️ 07.07.2022): ``` pip install towhee ```
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“‹ 99 - 8% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/pyRiemann/pyRiemann @@ -681,12 +681,12 @@ _General-purpose machine learning and deep learning frameworks._
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 - 38% 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 - 40% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2K / month): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 23.02.2022): ``` pip install neural-tangents ``` @@ -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“₯ 2.7K / month Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.8K / 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“₯ 1.5K / month Β· πŸ“¦ 12 Β· ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 1.7K / month Β· πŸ“¦ 12 Β· ⏱️ 04.04.2019): ``` pip install neupy ``` @@ -722,43 +722,43 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 240 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 260 / month): ``` pip install thundersvm ```
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NeoML (πŸ₯‰19 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰20 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“‹ 65 - 23% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 84 - 40% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 150 / month): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 130 / month Β· ⏱️ 07.09.2022): ``` pip install neoml ```
chefboost (πŸ₯‰19 Β· ⭐ 400) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 46 Β· πŸ“‹ 32 - 15% open Β· ⏱️ 30.03.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 47 Β· πŸ“‹ 32 - 15% open Β· ⏱️ 30.03.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 610 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 550 / 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”€ 87 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”€ 83 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“₯ 43 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 45 / month): ``` pip install thundergbm ``` @@ -766,10 +766,10 @@ _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₯ˆ35 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- MindsDB (πŸ₯ˆ34 Β· ⭐ 18K) - MindsDB connects AI models to databases. ❗️GPL-3.0 +- 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 -- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed +- mlpack (πŸ₯‰30 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. ❗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 @@ -791,7 +791,7 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡48 Β· ⭐ 18K) - matplotlib: plotting with Python. ❗Unlicensed -- [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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/matplotlib/matplotlib @@ -800,19 +800,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 20M Β· ⏱️ 06.07.2023): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 20M Β· ⏱️ 18.08.2023): ``` conda install -c conda-forge matplotlib ```
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Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +
Bokeh (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“‰) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 74K Β· πŸ“‹ 7.4K - 10% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.7M / month Β· πŸ“¦ 3.7K Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.7M / month): ``` pip install bokeh ``` @@ -823,7 +823,7 @@ _General-purpose and task-specific data visualization libraries._
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· ⏱️ 09.08.2023): +- [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): ``` git clone https://github.com/mwaskom/seaborn @@ -832,14 +832,14 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 7.2M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 7.3M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge seaborn ```
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Altair (πŸ₯‡41 Β· ⭐ 8.4K) - Declarative statistical visualization library for Python. BSD-3 +
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“¦ 68K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 13.08.2023): +- [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): ``` git clone https://github.com/altair-viz/altair @@ -855,7 +855,7 @@ _General-purpose and task-specific data visualization libraries._
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“¦ 50K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 51K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/plotly/dash @@ -869,34 +869,34 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dash ```
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Plotly (πŸ₯‡39 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +
Plotly (πŸ₯‡39 Β· ⭐ 14K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 2.7K - 49% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 12M / month): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 4.6M Β· ⏱️ 16.08.2023): +- [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“₯ 40K / month): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 38K / month): ``` npm install plotlywidget ```
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pandas-profiling (πŸ₯ˆ38 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT +
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 700 - 24% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 950K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 940K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -905,37 +905,37 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pandas-profiling ```
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PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 7.8K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 21.08.2023): ``` - git clone https://github.com/pyqtgraph/pyqtgraph - ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 120K / month Β· πŸ“¦ 920 Β· ⏱️ 29.09.2022): - ``` - pip install pyqtgraph + git clone https://github.com/pyecharts/pyecharts ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 440K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 110K / month): ``` - conda install -c conda-forge pyqtgraph + pip install pyecharts ```
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pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT +
UMAP (πŸ₯ˆ35 Β· ⭐ 6.4K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 10.04.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“¦ 10K Β· πŸ“‹ 740 - 56% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/pyecharts/pyecharts + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 60K / month): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 830K / month Β· πŸ“¦ 480 Β· ⏱️ 13.04.2022): ``` - pip install pyecharts + pip install umap-learn + ``` +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge umap-learn ```
FiftyOne (πŸ₯ˆ35 Β· ⭐ 4K) - 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 - 37% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/voxel51/fiftyone @@ -945,7 +945,7 @@ _General-purpose and task-specific data visualization libraries._ pip install fiftyone ```
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plotnine (πŸ₯ˆ35 Β· ⭐ 3.5K) - A grammar of graphics for Python. MIT +
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): @@ -984,7 +984,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.1M / month Β· πŸ“¦ 800 Β· ⏱️ 18.05.2023): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.2M / month Β· πŸ“¦ 800 Β· ⏱️ 18.05.2023): ``` pip install wordcloud ``` @@ -993,57 +993,41 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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UMAP (πŸ₯ˆ34 Β· ⭐ 6.4K) - Uniform Manifold Approximation and Projection. BSD-3 +
PyVista (πŸ₯ˆ34 Β· ⭐ 1.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“¦ 10K Β· πŸ“‹ 740 - 56% open Β· ⏱️ 04.08.2023): +- [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): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 840K / month Β· πŸ“¦ 480 Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 130K / month): ``` - pip install umap-learn + pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 380K Β· ⏱️ 21.07.2023): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge pyvista ```
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datashader (πŸ₯ˆ34 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 +
datashader (πŸ₯ˆ33 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 350 Β· πŸ“¦ 2.8K Β· πŸ“‹ 560 - 22% open Β· ⏱️ 17.08.2023): +- [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“₯ 73K / month): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 75K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 640K Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 650K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge datashader ```
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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“₯ 770 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/pyvista/pyvista - ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 140K / month): - ``` - pip install pyvista - ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 380K Β· ⏱️ 21.07.2023): - ``` - conda install -c conda-forge pyvista - ``` -
bqplot (πŸ₯ˆ31 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 440 Β· πŸ“¦ 46 Β· πŸ“‹ 590 - 37% open Β· ⏱️ 27.07.2023): +- [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): ``` git clone https://github.com/bqplot/bqplot @@ -1056,7 +1040,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.8K / month): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.2K / month): ``` npm install bqplot ``` @@ -1072,27 +1056,27 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.3M Β· ⏱️ 17.08.2023): +- [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“₯ 640 / month): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 780 / month): ``` npm install @pyviz/jupyterlab_pyviz ```
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”€ 790 Β· πŸ“₯ 630 Β· πŸ“¦ 11 Β· πŸ“‹ 650 - 13% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 6.6K / month): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.6K / month): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 430K Β· ⏱️ 15.08.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 430K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge perspective ``` @@ -1103,7 +1087,7 @@ _General-purpose and task-specific data visualization libraries._
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· ⏱️ 21.07.2023): +- [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 @@ -1124,11 +1108,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 460K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 450K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): ``` pip install missingno ``` -- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 290K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 300K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge missingno ``` @@ -1140,78 +1124,62 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 260K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 270K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): ``` pip install mpld3 ``` -- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 180K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 190K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 740 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 720 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
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AutoViz (πŸ₯ˆ30 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
hvPlot (πŸ₯ˆ30 Β· ⭐ 800) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 530 Β· πŸ“‹ 77 - 2% open Β· ⏱️ 04.07.2023): +- [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): ``` - git clone https://github.com/AutoViML/AutoViz + git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 450K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 140K / month Β· πŸ“¦ 82 Β· ⏱️ 08.06.2023): ``` - pip install autoviz + pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 40K Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 440K Β· ⏱️ 20.06.2023): ``` - conda install -c conda-forge autoviz + conda install -c conda-forge hvplot ```
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lets-plot (πŸ₯ˆ30 Β· ⭐ 1.2K) - An open-source plotting library for statistical data. MIT +
lets-plot (πŸ₯‰29 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”€ 50 Β· πŸ“₯ 520 Β· πŸ“¦ 39 Β· πŸ“‹ 400 - 26% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): ``` pip install lets-plot ```
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hvPlot (πŸ₯ˆ30 Β· ⭐ 790) - 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”€ 87 Β· πŸ“¦ 3.4K Β· πŸ“‹ 650 - 42% open Β· ⏱️ 16.08.2023): - - ``` - git clone https://github.com/holoviz/hvplot - ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 130K / month): - ``` - pip install hvplot - ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 440K Β· ⏱️ 20.06.2023): - ``` - conda install -c conda-forge hvplot - ``` -
data-validation (πŸ₯‰29 Β· ⭐ 730) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 720 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 14.08.2023): +- [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/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 230K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 220K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-data-validation ```
Facets Overview (πŸ₯‰28 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 870 Β· πŸ“¦ 190 Β· πŸ“‹ 160 - 49% open Β· ⏱️ 24.05.2023): +- [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): ``` git clone https://github.com/pair-code/facets @@ -1221,46 +1189,62 @@ _General-purpose and task-specific data visualization libraries._ pip install facets-overview ```
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openTSNE (πŸ₯‰27 Β· ⭐ 1.2K) - Extensible, parallel implementations of t-SNE. BSD-3 +
AutoViz (πŸ₯‰27 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 640 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 26.05.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 540 Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/pavlin-policar/openTSNE + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 21K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 320K / month): ``` - pip install opentsne + pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 41K Β· ⏱️ 21.07.2023): ``` - conda install -c conda-forge opentsne + conda install -c conda-forge autoviz ```
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 780) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 51 Β· πŸ“¦ 480 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 14.08.2023): +- [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): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 470K / month): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 450K / month): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 26K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 27K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge plotly-resampler ```
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Chartify (πŸ₯‰26 Β· ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2 +
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): + + ``` + git clone https://github.com/pavlin-policar/openTSNE + ``` +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 22K / month): + ``` + pip install opentsne + ``` +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge opentsne + ``` +
+
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· ⏱️ 21.04.2023): +- [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): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2K / month): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.8K / month): ``` pip install chartify ``` @@ -1271,12 +1255,12 @@ _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“‹ 91 - 20% open Β· ⏱️ 19.07.2023): +- [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): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 22K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 22K / month): ``` pip install hiplot ``` @@ -1285,14 +1269,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hiplot ```
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Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
Multicore-TSNE (πŸ₯‰25 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 -- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 390 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): +- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 400 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 29K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 27K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1308,21 +1292,25 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month): ``` pip install pandas-bokeh ```
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Popmon (πŸ₯‰24 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT +
vega (πŸ₯‰24 Β· ⭐ 360 Β· πŸ“ˆ) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [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): +- [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): ``` - git clone https://github.com/ing-bank/popmon + git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 8.6K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.4K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): ``` - pip install popmon + pip install vega + ``` +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge vega ```
Sweetviz (πŸ₯‰23 Β· ⭐ 2.5K) - Visualize and compare datasets, target values and associations, with one.. MIT @@ -1332,7 +1320,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 67K / month Β· πŸ“¦ 10 Β· ⏱️ 14.06.2022): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 66K / month Β· πŸ“¦ 10 Β· ⏱️ 14.06.2022): ``` pip install sweetviz ``` @@ -1357,36 +1345,32 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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PDPbox (πŸ₯‰21 Β· ⭐ 770) - python partial dependence plot toolbox. MIT +
Popmon (πŸ₯‰22 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT -- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 40% open Β· ⏱️ 05.06.2023): +- [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/SauceCat/PDPbox - ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 35K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): - ``` - pip install pdpbox + git clone https://github.com/ing-bank/popmon ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 18K Β· ⏱️ 10.06.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.8K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` - conda install -c conda-forge pdpbox + pip install popmon ```
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vega (πŸ₯‰21 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
PDPbox (πŸ₯‰21 Β· ⭐ 770) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 40% open Β· ⏱️ 05.06.2023): ``` - git clone https://github.com/vega/ipyvega + git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.9K / month): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 34K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` - pip install vega + pip install pdpbox ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 18K Β· ⏱️ 10.06.2023): ``` - conda install -c conda-forge vega + conda install -c conda-forge pdpbox ```
ivis (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 @@ -1401,11 +1385,12 @@ _General-purpose and task-specific data visualization libraries._ pip install ivis ```
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Show 15 hidden projects... +
Show 16 hidden projects... -- cartopy (πŸ₯ˆ34 Β· ⭐ 1.2K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 +- 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₯‰27 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT +- 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 @@ -1416,8 +1401,8 @@ _General-purpose and task-specific data visualization libraries._ - 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 -- nptsne (πŸ₯‰13 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 - 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

@@ -1429,7 +1414,7 @@ _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“¦ 92K Β· πŸ“‹ 12K - 4% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/huggingface/transformers @@ -1438,19 +1423,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.3M Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.3M Β· ⏱️ 23.08.2023): ``` 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”€ 4.2K Β· πŸ“¦ 67K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 68K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6M / month Β· πŸ“¦ 2.8K Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.8M / month): ``` pip install spacy ``` @@ -1459,58 +1444,58 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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Rasa (πŸ₯‡40 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 +
nltk (πŸ₯‡42 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. 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· ⏱️ 16.08.2023): +- [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/RasaHQ/rasa + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month Β· πŸ“¦ 66 Β· ⏱️ 13.08.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 11M / month Β· πŸ“¦ 13K Β· ⏱️ 02.01.2023): ``` - pip install rasa + pip install nltk + ``` +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.2M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge nltk ```
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gensim (πŸ₯‡40 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 +
Rasa (πŸ₯‡41 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [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· ⏱️ 08.08.2023): +- [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): ``` - git clone https://github.com/RaRe-Technologies/gensim - ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.8M / month Β· πŸ“¦ 3.1K Β· ⏱️ 10.03.2023): - ``` - pip install gensim + git clone https://github.com/RasaHQ/rasa ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.1M Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month Β· πŸ“¦ 66 Β· ⏱️ 23.08.2023): ``` - conda install -c conda-forge gensim + pip install rasa ```
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nltk (πŸ₯‡40 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 210K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.06.2023): +- [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): ``` - git clone https://github.com/nltk/nltk + git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.8M / month Β· πŸ“¦ 3.1K Β· ⏱️ 24.08.2023): ``` - pip install nltk + pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.1M Β· ⏱️ 24.08.2023): ``` - conda install -c conda-forge nltk + conda install -c conda-forge gensim ```
fairseq (πŸ₯‡37 Β· ⭐ 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [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· ⏱️ 07.07.2023): +- [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/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 290K / month): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 280K / month): ``` pip install fairseq ``` @@ -1519,49 +1504,53 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fairseq ```
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haystack (πŸ₯‡37 Β· ⭐ 10K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 +
haystack (πŸ₯‡36 Β· ⭐ 10K) - 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“¦ 840 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.6K / month Β· πŸ“¦ 87 Β· ⏱️ 03.07.2017): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.4K / month): ``` pip install haystack ```
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Tokenizers (πŸ₯‡37 Β· ⭐ 7.4K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
TextBlob (πŸ₯‡36 Β· ⭐ 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 630 Β· πŸ“₯ 31 Β· πŸ“¦ 38K Β· πŸ“‹ 830 - 32% open Β· ⏱️ 16.08.2023): +- [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): ``` - git clone https://github.com/huggingface/tokenizers + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 11M / month Β· πŸ“¦ 280 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 630K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): ``` - pip install tokenizers + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge tokenizers + conda install -c conda-forge textblob ```
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spark-nlp (πŸ₯‡36 Β· ⭐ 3.4K) - State of the Art Natural Language Processing. Apache-2 +
Tokenizers (πŸ₯‡36 Β· ⭐ 7.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. 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· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/JohnSnowLabs/spark-nlp + git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.7M / month Β· πŸ“¦ 25 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 12M / month): ``` - pip install spark-nlp + pip install tokenizers + ``` +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tokenizers ```
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“¦ 13K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 08.08.2023): +- [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): ``` git clone https://github.com/UKPLab/sentence-transformers @@ -1582,7 +1571,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 44K / month): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 42K / month): ``` pip install allennlp ``` @@ -1591,70 +1580,50 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge allennlp ```
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TextBlob (πŸ₯‡35 Β· ⭐ 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
NeMo (πŸ₯‡35 Β· ⭐ 7.7K) - NeMo: a toolkit for conversational AI. Apache-2 -- [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): +- [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): ``` - git clone https://github.com/sloria/TextBlob - ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 640K / month): + git clone https://github.com/NVIDIA/NeMo ``` - pip install textblob +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 40K / month): ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge textblob - ``` -
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sentencepiece (πŸ₯‡35 Β· ⭐ 8K) - 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“₯ 29K Β· πŸ“¦ 37K 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“₯ 570K Β· ⏱️ 01.07.2023): - ``` - conda install -c conda-forge sentencepiece + pip install nemo-toolkit ```
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NeMo (πŸ₯‡35 Β· ⭐ 7.6K) - NeMo: a toolkit for conversational AI. Apache-2 +
OpenNMT (πŸ₯‡35 Β· ⭐ 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.7K Β· πŸ“₯ 60K Β· πŸ“¦ 10 Β· πŸ“‹ 1.8K - 6% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 40K / month Β· πŸ“¦ 10 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.3K / month Β· πŸ“¦ 10 Β· ⏱️ 22.06.2023): ``` - pip install nemo-toolkit + pip install OpenNMT-py ```
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OpenNMT (πŸ₯‡35 Β· ⭐ 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT +
spark-nlp (πŸ₯‡35 Β· ⭐ 3.4K) - State of the Art Natural Language Processing. Apache-2 -- [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· ⏱️ 01.08.2023): +- [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): ``` - git clone https://github.com/OpenNMT/OpenNMT-py + git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.5K / month): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.1M / month Β· πŸ“¦ 25 Β· ⏱️ 02.08.2023): ``` - pip install OpenNMT-py + 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 - 29% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.7K Β· πŸ“‹ 220 - 28% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.6M / month): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.5M / month): ``` pip install tensorflow-text ``` @@ -1666,69 +1635,81 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 210 Β· ⏱️ 28.04.2020): +- [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“₯ 62K Β· ⏱️ 16.06.2023): +- [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”€ 2.1K 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”€ 2K 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“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 860 / month): ``` pip install parlai ```
+
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”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 16% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 350 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 270 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge rubrix ```
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DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
torchtext (πŸ₯ˆ33 Β· ⭐ 3.4K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 350 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 810 Β· πŸ“‹ 810 - 37% open Β· ⏱️ 28.07.2023): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8K / month): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 440K / month Β· πŸ“¦ 470 Β· ⏱️ 08.05.2023): ``` - pip install deeppavlov + pip install torchtext ```
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spacy-transformers (πŸ₯ˆ31 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/explosion/spacy-transformers - ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month Β· πŸ“¦ 40 Β· ⏱️ 01.08.2023): - ``` - pip install spacy-transformers + git clone https://github.com/deepmipt/DeepPavlov ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 21K Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.6K / month Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): ``` - conda install -c conda-forge spacy-transformers + pip install deeppavlov ```
ftfy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT @@ -1738,41 +1719,45 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.4M / month): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.5M / month): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 260K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ftfy ```
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torchtext (πŸ₯ˆ30 Β· ⭐ 3.3K) - Models, data loaders and abstractions for language processing,.. BSD-3 +
jellyfish (πŸ₯ˆ30 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 770 Β· πŸ“‹ 760 - 33% open Β· ⏱️ 28.07.2023): +- [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): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/jamesturk/jellyfish + ``` +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.2M / month): ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 470K / month): + pip install jellyfish ``` - pip install torchtext +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 660K Β· ⏱️ 02.07.2023): + ``` + 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 +
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 6.6K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· ⏱️ 11.08.2023): ``` - git clone https://github.com/jamesturk/jellyfish + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.2M / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 280K / month): ``` - pip install jellyfish + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 660K Β· ⏱️ 02.07.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 21K Β· ⏱️ 09.08.2023): ``` - conda install -c conda-forge jellyfish + conda install -c conda-forge spacy-transformers ```
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 680) - Snowball compiler and stemming algorithms. BSD-3 @@ -1791,26 +1776,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge snowballstemmer ```
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english-words (πŸ₯ˆ29 Β· ⭐ 9.2K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense +
english-words (πŸ₯ˆ29 Β· ⭐ 9.3K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.7K Β· πŸ“¦ 1 Β· πŸ“‹ 130 - 73% open Β· ⏱️ 08.11.2022): ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 540K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 560K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` pip install english-words ```
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’» 71 Β· πŸ”€ 500 Β· πŸ“¦ 290 Β· πŸ“‹ 790 - 8% open Β· ⏱️ 17.02.2023): +- [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“₯ 87K / month): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 61K / month): ``` pip install dedupe ``` @@ -1821,24 +1806,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
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”€ 500 Β· πŸ“¦ 1.3K Β· πŸ“‹ 530 - 44% open Β· ⏱️ 25.12.2022): +- [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): ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 130K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` pip install gluonnlp ```
DeepKE (πŸ₯ˆ29 Β· ⭐ 2.2K) - 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· πŸ“‹ 300 - 0% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 760 / month Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 610 / month Β· ⏱️ 05.08.2023): ``` pip install deepke ``` @@ -1866,7 +1851,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 330K / month): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 320K / month): ``` pip install textdistance ``` @@ -1877,36 +1862,48 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fastNLP (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 -- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 460 Β· πŸ“₯ 74 Β· πŸ“¦ 160 Β· πŸ“‹ 220 - 28% open Β· ⏱️ 13.12.2022): +- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 460 Β· πŸ“₯ 74 Β· πŸ“¦ 160 Β· πŸ“‹ 220 - 28% open Β· ⏱️ 13.12.2022): ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 18K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): ``` pip install fastnlp ```
+
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): + + ``` + git clone https://github.com/DerwenAI/pytextrank + ``` +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 57K / 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“‹ 290 - 10% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 56K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 57K / month): ``` 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”€ 820 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 05.12.2022): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 850 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 05.12.2022): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 29K / month): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 30K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1917,48 +1914,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯‰27 Β· ⭐ 12K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 640 Β· πŸ“₯ 760 Β· πŸ“‹ 640 - 16% open Β· ⏱️ 10.08.2023): +- [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): ``` git clone https://github.com/qdrant/qdrant ```
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PyTextRank (πŸ₯‰27 Β· ⭐ 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT +
scattertext (πŸ₯‰27 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 450 Β· πŸ“‹ 99 - 27% open Β· ⏱️ 07.08.2023): +- [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/DerwenAI/pytextrank + git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 60K / month Β· πŸ“¦ 16 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 10K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): ``` - pip install pytextrank + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge scattertext ```
happy-transformer (πŸ₯‰27 Β· ⭐ 450) - 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”€ 57 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”€ 58 Β· πŸ“¦ 190 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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pytorch-nlp (πŸ₯‰26 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 - -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 560 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): - - ``` - git clone https://github.com/PetrochukM/PyTorch-NLP - ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.8K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): - ``` - pip install pytorch-nlp - ``` -
sense2vec (πŸ₯‰26 Β· ⭐ 1.5K) - Contextually-keyed word vectors. MIT - [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 57K Β· πŸ“¦ 280 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 20.04.2023): @@ -1966,7 +1955,7 @@ _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“₯ 1.8K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.7K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -1982,77 +1971,57 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 730 / month): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 330 / month): ``` pip install cltk ```
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scattertext (πŸ₯‰25 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“₯ 11K / month): - ``` - 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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promptsource (πŸ₯‰25 Β· ⭐ 2K) - Toolkit for creating, sharing and using natural language prompts. Apache-2 +
OpenPrompt (πŸ₯‰25 Β· ⭐ 3.7K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 53 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): +- [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): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 4.6K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.6K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` - pip install promptsource + pip install openprompt ```
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FARM (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 +
pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“‹ 400 - 0% open Β· ⏱️ 31.08.2022): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 560 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/deepset-ai/FARM - ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4.4K / month Β· πŸ“¦ 3 Β· ⏱️ 14.09.2020): - ``` - pip install farm + git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [Conda](https://anaconda.org/conda-forge/farm) (πŸ“₯ 2.9K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 7.4K / month): ``` - conda install -c conda-forge farm + pip install pytorch-nlp ```
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T5 (πŸ₯‰24 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
promptsource (πŸ₯‰25 Β· ⭐ 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [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/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 53 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 140K / month): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 5.2K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` - pip install t5 + pip install promptsource ```
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OpenPrompt (πŸ₯‰24 Β· ⭐ 3.7K) - An Open-Source Framework for Prompt-Learning. Apache-2 +
PyText (πŸ₯‰24 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 400 Β· πŸ“¦ 68 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): +- [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): ``` - git clone https://github.com/thunlp/OpenPrompt + git clone https://github.com/facebookresearch/pytext ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 91 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` - pip install openprompt + pip install pytext-nlp ```
jiant (πŸ₯‰24 Β· ⭐ 1.5K Β· πŸ’€) - jiant is an nlp toolkit. MIT @@ -2062,33 +2031,33 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 220 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 210 / month Β· ⏱️ 10.05.2021): ``` pip install jiant ```
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litellm (πŸ₯‰24 Β· ⭐ 580 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s +
litellm (πŸ₯‰24 Β· ⭐ 670 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 21 Β· πŸ“¦ 17 Β· πŸ“‹ 120 - 63% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 8.4K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 24.08.2023): ``` pip install litellm ```
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Texthero (πŸ₯‰23 Β· ⭐ 2.8K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT +
T5 (πŸ₯‰23 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 28.10.2022): +- [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): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 170K / month): ``` - pip install texthero + pip install t5 ```
fast-bert (πŸ₯‰23 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 @@ -2098,75 +2067,103 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): ``` pip install fast-bert ```
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YouTokenToMe (πŸ₯‰23 Β· ⭐ 890) - Unsupervised text tokenizer focused on computational efficiency. MIT +
FARM (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 + +- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“‹ 400 - 0% open Β· ⏱️ 31.08.2022): + + ``` + git clone https://github.com/deepset-ai/FARM + ``` +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4K / month): + ``` + pip install farm + ``` +- [Conda](https://anaconda.org/conda-forge/farm) (πŸ“₯ 2.9K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge farm + ``` +
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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): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 34K / month): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 35K / month): ``` pip install youtokentome ``` -- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 35K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 36K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge youtokentome ```
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Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
detoxify (πŸ₯‰23 Β· ⭐ 700) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 300 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 10.08.2023): +- [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): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 620 / month): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 14K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): ``` - pip install sockeye + pip install detoxify ```
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detoxify (πŸ₯‰22 Β· ⭐ 690) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
Texthero (πŸ₯‰22 Β· ⭐ 2.8K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 90 Β· πŸ“₯ 260K Β· πŸ“¦ 370 Β· πŸ“‹ 53 - 56% open Β· ⏱️ 05.07.2023): +- [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): ``` - git clone https://github.com/unitaryai/detoxify + git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 15K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 15K / month): ``` - pip install detoxify + pip install texthero + ``` +
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Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 + +- [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): + + ``` + git clone https://github.com/awslabs/sockeye + ``` +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 590 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): + ``` + pip install sockeye ```
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finetune (πŸ₯‰22 Β· ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
finetune (πŸ₯‰22 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [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/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 240 / month Β· πŸ“¦ 2 Β· ⏱️ 20.12.2021): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 250 / month): ``` pip install finetune ```
small-text (πŸ₯‰22 Β· ⭐ 480) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 51 Β· πŸ“¦ 21 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 03.08.2023): +- [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): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 600 / month Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 620 / month Β· ⏱️ 19.08.2023): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 3.9K Β· ⏱️ 22.07.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4K Β· ⏱️ 19.08.2023): ``` conda install -c conda-forge small-text ``` @@ -2178,31 +2175,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 150 / month): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 180 / month): ``` pip install nlp-architect ```
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lightseq (πŸ₯‰19 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 +
lightseq (πŸ₯‰20 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 - [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 310 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 60% open Β· ⏱️ 10.05.2023): ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
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textaugment (πŸ₯‰18 Β· ⭐ 330) - TextAugment: Text Augmentation Library. MIT +
textaugment (πŸ₯‰19 Β· ⭐ 330) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 56 Β· πŸ“₯ 61 Β· πŸ“¦ 59 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 03.04.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 57 Β· πŸ“₯ 61 Β· πŸ“¦ 59 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 03.04.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.1K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.2K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` pip install textaugment ``` @@ -2217,19 +2214,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
UForm (πŸ₯‰17 Β· ⭐ 390 Β· 🐣) - Multi-Modal AI inference library for Multi-Lingual Text,.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 15 Β· πŸ“¦ 6 Β· ⏱️ 04.08.2023): +- [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“₯ 560 / month Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 890 / month Β· ⏱️ 17.08.2023): ``` pip install uform ```
TextBox (πŸ₯‰16 Β· ⭐ 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 66 - 6% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 66 - 6% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox @@ -2246,32 +2243,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 84 / month): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 67 / month): ``` pip install vizseq ```
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Show 41 hidden projects... +
Show 40 hidden projects... - flair (πŸ₯‡37 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed -- ChatterBot (πŸ₯‡35 Β· ⭐ 13K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- 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 - 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₯‰26 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- flashtext (πŸ₯‰27 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 -- pySBD (πŸ₯‰25 Β· ⭐ 640 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 440 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 -- MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - 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 @@ -2279,21 +2275,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - 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 -- Camphr (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - fastT5 (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 -- textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. 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 -- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT - NeuralQA (πŸ₯‰14 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 -- spacy-dbpedia-spotlight (πŸ₯‰14 Β· ⭐ 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy - 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 +- spacy-dbpedia-spotlight (πŸ₯‰13 Β· ⭐ 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2305,55 +2301,71 @@ _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’» 440 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 2.9K - 3% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 62M / month Β· πŸ“¦ 66K Β· ⏱️ 01.07.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 63M / month): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 31M Β· ⏱️ 02.07.2023): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 32M Β· ⏱️ 02.07.2023): ``` conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡38 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 6.6K Β· πŸ“₯ 29K Β· πŸ“¦ 10 Β· πŸ“‹ 2.9K - 25% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.8M / month): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.8M / month Β· πŸ“¦ 4.5K Β· ⏱️ 08.05.2023): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 800K Β· ⏱️ 22.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 810K 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”€ 860 Β· πŸ“₯ 790 Β· πŸ“¦ 5.7K Β· πŸ“‹ 820 - 30% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.3M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.4M / month): ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 94K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 95K 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“₯ 810 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“¦ 99K Β· πŸ“‹ 560 - 15% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/imageio/imageio @@ -2362,46 +2374,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.4M Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.5M Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge imageio ```
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MoviePy (πŸ₯‡37 Β· ⭐ 11K) - Video editing with Python. MIT +
InsightFace (πŸ₯‡36 Β· ⭐ 18K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 28K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 11.07.2023): +- [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): ``` - git clone https://github.com/Zulko/moviepy - ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month): - ``` - pip install moviepy + git clone https://github.com/deepinsight/insightface ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 200K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 290K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): ``` - conda install -c conda-forge moviepy + pip install insightface ```
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PyTorch Image Models (πŸ₯‡36 Β· ⭐ 26K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
MoviePy (πŸ₯‡36 Β· ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.1K Β· πŸ“₯ 5.2M Β· πŸ“¦ 10 Β· πŸ“‹ 770 - 8% open Β· ⏱️ 16.08.2023): +- [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): ``` - git clone https://github.com/rwightman/pytorch-image-models + git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.6M / month): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month Β· πŸ“¦ 920 Β· ⏱️ 15.12.2021): ``` - pip install timm + pip install moviepy ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 87K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 200K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge timm + conda install -c conda-forge moviepy ```
MMDetection (πŸ₯ˆ35 Β· ⭐ 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 8K Β· πŸ“¦ 10 Β· πŸ“‹ 7.4K - 12% open Β· ⏱️ 30.06.2023): +- [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): ``` git clone https://github.com/open-mmlab/mmdetection @@ -2434,7 +2442,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1M / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.1M / month): ``` pip install albumentations ``` @@ -2445,12 +2453,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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“₯ 21K 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“₯ 22K Β· πŸ“¦ 17K Β· πŸ“‹ 400 - 5% open Β· ⏱️ 16.06.2023): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 740K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 730K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` pip install wand ``` @@ -2461,31 +2469,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 990 Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.1K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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deepface (πŸ₯ˆ32 Β· ⭐ 7.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (πŸ₯ˆ32 Β· ⭐ 7.2K) - 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“‹ 740 - 1% open Β· ⏱️ 07.08.2023): +- [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): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 28K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 27K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): ``` pip install deepface ```
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 - 4% open Β· ⏱️ 05.08.2023): +- [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): ``` git clone https://github.com/JohannesBuchner/imagehash @@ -2513,31 +2521,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleDetection (πŸ₯ˆ30 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 100 Β· πŸ“‹ 5K - 23% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 110 Β· πŸ“‹ 5K - 23% open Β· ⏱️ 18.08.2023): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 920 / month): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): ``` pip install paddledet ```
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’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 18% open Β· ⏱️ 16.08.2023): +- [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“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 22.08.2023): ``` pip install lightly ```
imageai (πŸ₯ˆ29 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“₯ 870K 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“‹ 730 - 39% open Β· ⏱️ 19.06.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI @@ -2551,42 +2559,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageai ```
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Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.4K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
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“‹ 300 - 22% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 55K / month): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 57K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
doctr (πŸ₯ˆ29 Β· ⭐ 2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“₯ 1.7M Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 14.08.2023): +- [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): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 8.5K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 7.8K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): ``` pip install python-doctr ```
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GluonCV (πŸ₯‰28 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 10 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): - - ``` - git clone https://github.com/dmlc/gluon-cv - ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 42K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): - ``` - pip install gluoncv - ``` -
facenet-pytorch (πŸ₯‰28 Β· ⭐ 3.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - [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): @@ -2594,31 +2590,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 28K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 29K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
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opencv-python (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
opencv-python (πŸ₯‰28 Β· ⭐ 3.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 710 Β· πŸ“‹ 690 - 9% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 9.7M / month): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 9.9M / month): ``` pip install opencv-python ```
sahi (πŸ₯‰28 Β· ⭐ 2.9K) - 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“¦ 590 Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 430 Β· πŸ“₯ 17K Β· πŸ“¦ 600 Β· ⏱️ 13.06.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 76K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 79K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): ``` pip install sahi ``` @@ -2629,19 +2625,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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“¦ 430 Β· πŸ“‹ 260 - 1% open Β· ⏱️ 22.07.2023): +- [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): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 22K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 29K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): ``` pip install vidgear ```
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layout-parser (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +
GluonCV (πŸ₯‰27 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 + +- [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): + + ``` + git clone https://github.com/dmlc/gluon-cv + ``` +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 39K / month): + ``` + pip install gluoncv + ``` +
+
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“¦ 480 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“¦ 490 Β· πŸ“‹ 140 - 61% open Β· ⏱️ 06.08.2022): ``` git clone https://github.com/Layout-Parser/layout-parser @@ -2658,7 +2666,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9.3K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2669,24 +2677,24 @@ _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“₯ 5.4K 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“₯ 5.5K 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“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 920 / 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“‹ 130 - 35% open Β· ⏱️ 28.04.2023): +- [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): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.5K / month): ``` pip install imagededup ``` @@ -2698,19 +2706,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [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 Β· πŸ“‰) - Image augmentation library in Python for machine learning. MIT +
Augmentor (πŸ₯‰24 Β· ⭐ 4.9K) - Image augmentation library in Python for machine learning. MIT -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 630 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): +- [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): ``` git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 10K / month): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 9.7K / month): ``` pip install Augmentor ``` @@ -2734,31 +2742,47 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
+
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“‹ 780 - 30% open Β· ⏱️ 11.07.2023): +- [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): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 240 / month): ``` 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”€ 310 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· ⏱️ 27.07.2023): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 240 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 210 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2770,27 +2794,11 @@ _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“₯ 6K / month Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.6K / month Β· ⏱️ 24.08.2023): ``` pip install kubric-nightly ```
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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”€ 270 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): - - ``` - git clone https://github.com/facebookresearch/ClassyVision - ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.1K / 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): @@ -2798,7 +2806,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 5.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2810,7 +2818,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 55K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 57K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): ``` pip install pyvips ``` @@ -2821,7 +2829,7 @@ _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”€ 2K Β· πŸ“¦ 10 Β· πŸ“‹ 500 - 43% open Β· ⏱️ 07.02.2023): +- [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): ``` git clone https://github.com/facebookresearch/detr @@ -2829,16 +2837,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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“‹ 80 - 30% open Β· ⏱️ 12.06.2023): +- [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): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 310K / month): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 210K / month Β· ⏱️ 05.09.2020): ``` 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): + + ``` + git clone https://github.com/facebookresearch/SlowFast + ``` +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 12 / month Β· ⏱️ 15.01.2020): + ``` + pip install pyslowfast + ``` +
image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - [GitHub](https://github.com/rhsimplex/image-match) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 400 Β· πŸ“‹ 110 - 57% open Β· ⏱️ 06.12.2022): @@ -2846,7 +2866,7 @@ _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“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 1K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): ``` pip install image_match ``` @@ -2863,48 +2883,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install tensorflow-graphics ```
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PySlowFast (πŸ₯‰19 Β· ⭐ 5.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
scenic (πŸ₯‰19 Β· ⭐ 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. 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/google-research/scenic) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 340 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 24.08.2023): ``` - git clone https://github.com/facebookresearch/SlowFast - ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 16 / month): - ``` - pip install pyslowfast - ``` -
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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’» 66 Β· πŸ”€ 340 Β· πŸ“‹ 220 - 67% open Β· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/google-research/scenic + git clone https://github.com/google-research/scenic ```
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Show 20 hidden projects... +
Show 19 hidden projects... -- scikit-image (πŸ₯‡42 Β· ⭐ 5.5K) - Image processing in Python. ❗Unlicensed +- 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₯ˆ35 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- InsightFace (πŸ₯ˆ32 Β· ⭐ 17K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- 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 - PyTorch3D (πŸ₯ˆ31 Β· ⭐ 7.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- imutils (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- 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 -- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K) - The friendly PIL fork. ❗️PIL -- segmentation_models (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. 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 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. 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 +- 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 - 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₯‰14 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 +- Torch Points 3D (πŸ₯‰16 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2914,42 +2921,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡44 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 - -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 3K Β· πŸ“₯ 65 Β· πŸ“¦ 180K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 13.08.2023): - - ``` - git clone https://github.com/networkx/networkx - ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 27M / month Β· πŸ“¦ 14K 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 - ``` -
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dgl (πŸ₯‡39 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
dgl (πŸ₯‡38 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”€ 2.9K Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 17% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 110K / month Β· πŸ“¦ 74 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 120K / month): ``` pip install dgl ```
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PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 200K / month Β· πŸ“¦ 99 Β· ⏱️ 27.04.2023): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 220K / month): ``` pip install torch-geometric ``` @@ -2958,18 +2949,18 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ```
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ogb (πŸ₯ˆ31 Β· ⭐ 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
ogb (πŸ₯ˆ30 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“₯ 30K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 32K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ogb ``` @@ -2981,45 +2972,45 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ```
pygraphistry (πŸ₯ˆ28 Β· ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 96 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 200 Β· πŸ“¦ 96 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.3K / month Β· πŸ“¦ 5 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 23.08.2023): ``` pip install graphistry ```
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Paddle Graph Learning (πŸ₯ˆ27 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
AmpliGraph (πŸ₯ˆ27 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [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): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 43 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.08.2022): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 500 / month Β· ⏱️ 25.05.2021): ``` - pip install pgl + pip install ampligraph ```
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AmpliGraph (πŸ₯ˆ26 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 +
Paddle Graph Learning (πŸ₯ˆ27 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 42 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [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): ``` - git clone https://github.com/Accenture/AmpliGraph + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 520 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month): ``` - pip install ampligraph + pip install pgl ```
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT @@ -3029,31 +3020,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
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“₯ 170 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· ⏱️ 09.08.2023): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.2K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.1K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ```
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.1K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 440 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“‹ 89 - 3% open Β· ⏱️ 19.10.2022): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 130K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 84K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3062,72 +3053,60 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.3K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 - -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 430 Β· πŸ“₯ 160 Β· πŸ“‹ 190 - 28% open Β· ⏱️ 08.12.2022): - - ``` - git clone https://github.com/facebookresearch/PyTorch-BigGraph - ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 310K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): - ``` - pip install torchbiggraph - ``` -
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graph-nets (πŸ₯‰22 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”€ 780 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 Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 110 / month Β· ⏱️ 20.01.2022): ``` - pip install graph-nets + pip install graph4nlp ```
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jraph (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +
jraph (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- [GitHub](https://github.com/deepmind/jraph) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 77 Β· πŸ“¦ 90 Β· πŸ“‹ 38 - 31% open Β· ⏱️ 31.08.2022): +- [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/deepmind/jraph ``` -- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 8.1K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 7.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): ``` pip install jraph ``` -- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 3.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 3.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jraph ```
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torch-cluster (πŸ₯‰22 Β· ⭐ 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
graph-nets (πŸ₯‰20 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 05.06.2023): +- [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): ``` - git clone https://github.com/rusty1s/pytorch_cluster - ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month Β· πŸ“¦ 37 Β· ⏱️ 11.03.2022): - ``` - pip install torch-cluster + git clone https://github.com/deepmind/graph_nets ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 77K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.5K / month): ``` - conda install -c conda-forge pytorch_cluster + pip install graph-nets ```
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graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +
torch-cluster (πŸ₯‰20 Β· ⭐ 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [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/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 05.06.2023): ``` - git clone https://github.com/graph4ai/graph4nlp + git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 120 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month): ``` - pip install graph4nlp + pip install torch-cluster + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pytorch_cluster ```
deepsnap (πŸ₯‰20 Β· ⭐ 500) - Python library assists deep learning on graphs. MIT @@ -3137,7 +3116,7 @@ _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“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3149,7 +3128,7 @@ _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“₯ 75 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 55 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ``` @@ -3161,7 +3140,7 @@ _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“₯ 120 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 110 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3189,26 +3168,28 @@ _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“₯ 1 / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 2 / month Β· ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
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Show 14 hidden projects... +
Show 16 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 - 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

@@ -3221,19 +3202,19 @@ _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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 31K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 29K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): ``` pip install espnet ```
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speechbrain (πŸ₯‡38 Β· ⭐ 6.4K) - A PyTorch-based Speech Toolkit. Apache-2 +
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“¦ 890 Β· πŸ“‹ 980 - 17% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/speechbrain/speechbrain @@ -3245,19 +3226,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
torchaudio (πŸ₯‡35 Β· ⭐ 2.2K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 590 Β· πŸ“‹ 920 - 26% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“‹ 920 - 26% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.2M / month Β· πŸ“¦ 350 Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.1M / month Β· πŸ“¦ 350 Β· ⏱️ 08.05.2023): ``` pip install torchaudio ```
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 14K) - - 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“₯ 1.2M 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· ⏱️ 14.08.2023): ``` git clone https://github.com/coqui-ai/TTS @@ -3271,9 +3252,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge tts ```
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Pydub (πŸ₯ˆ34 Β· ⭐ 7.5K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +
Pydub (πŸ₯ˆ34 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“¦ 35K Β· πŸ“‹ 570 - 53% open Β· ⏱️ 08.12.2022): +- [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): ``` git clone https://github.com/jiaaro/pydub @@ -3282,7 +3263,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 61K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ``` @@ -3303,7 +3284,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.4K) - Speech recognition module for Python, supporting several.. BSD-3 +
SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.5K) - Speech recognition module for Python, supporting several.. BSD-3 - [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): @@ -3342,7 +3323,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 2.9K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): ``` pip install magenta ``` @@ -3354,26 +3335,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 21K / month Β· πŸ“¦ 5 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 20K / month Β· πŸ“¦ 5 Β· ⏱️ 15.08.2023): ``` 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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.4K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.5K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): ``` pip install pvporcupine ```
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audioread (πŸ₯ˆ29 Β· ⭐ 440 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +
audioread (πŸ₯ˆ29 Β· ⭐ 440) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 15K Β· πŸ“‹ 88 - 40% open Β· ⏱️ 18.11.2022): +- [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 @@ -3389,19 +3370,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.4K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“¦ 380 Β· πŸ“‹ 310 - 60% open Β· ⏱️ 18.09.2022): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.2K Β· πŸ“¦ 380 Β· πŸ“‹ 310 - 61% open Β· ⏱️ 18.09.2022): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 18K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
tinytag (πŸ₯‰28 Β· ⭐ 610) - 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“¦ 830 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 15.08.2023): +- [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 @@ -3418,7 +3399,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3427,22 +3408,6 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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DeepSpeech (πŸ₯‰24 Β· ⭐ 22K 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“₯ 19K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): - ``` - pip install deepspeech - ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.1K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge deepspeech - ``` -
python-soundfile (πŸ₯‰24 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): @@ -3466,35 +3431,43 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.5K / 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”€ 24 Β· πŸ“¦ 540 Β· πŸ“‹ 11 - 18% open Β· ⏱️ 19.09.2022): +- [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): ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 170K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 160K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): ``` pip install julius ```
+
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): + + ``` + git clone https://github.com/facebookresearch/textlesslib + ``` +
Show 10 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₯‰27 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-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 - Dejavu (πŸ₯‰23 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 890 Β· πŸ’€) - kapre: Keras Audio Preprocessors. 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 - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC -- textlesslib (πŸ₯‰10 Β· ⭐ 430 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT

@@ -3506,27 +3479,27 @@ _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“‹ 2.7K - 8% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.4M / month Β· πŸ“¦ 36 Β· ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.4M / month Β· πŸ“¦ 38 Β· ⏱️ 15.04.2023): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 420K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 430K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 470 Β· ⏱️ 03.08.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 470 Β· ⏱️ 18.08.2023): ``` 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“₯ 2.1K Β· πŸ“¦ 25K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 26.07.2023): +- [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· ⏱️ 21.08.2023): ``` git clone https://github.com/geopandas/geopandas @@ -3547,7 +3520,7 @@ _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“¦ 770 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 640K / month Β· πŸ“¦ 780 Β· ⏱️ 12.12.2022): ``` pip install folium ``` @@ -3558,12 +3531,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
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“¦ 8.5K 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· ⏱️ 15.08.2023): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1.7M / month Β· πŸ“¦ 950 Β· ⏱️ 28.06.2023): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1.7M / month Β· πŸ“¦ 960 Β· ⏱️ 28.06.2023): ``` pip install rasterio ``` @@ -3574,7 +3547,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
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“₯ 2.3K Β· πŸ“¦ 50K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 30.07.2023): +- [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): ``` git clone https://github.com/shapely/shapely @@ -3583,7 +3556,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.2M Β· ⏱️ 19.08.2023): ``` conda install -c conda-forge shapely ``` @@ -3599,7 +3572,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6.4M Β· ⏱️ 14.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6.5M Β· ⏱️ 14.06.2023): ``` conda install -c conda-forge pyproj ``` @@ -3622,12 +3595,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (πŸ₯ˆ33 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 200 Β· πŸ“¦ 14K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 13.08.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 200 Β· πŸ“¦ 14K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.8M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.7M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): ``` pip install fiona ``` @@ -3643,7 +3616,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 02.06.2023): ``` pip install ipyleaflet ``` @@ -3651,19 +3624,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 48K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 45K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): ``` npm install jupyter-leaflet ```
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ArcGIS API (πŸ₯‰31 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
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): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 83K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 79K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): ``` pip install arcgis ``` @@ -3690,12 +3663,12 @@ _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“¦ 730 Β· πŸ“‹ 330 - 33% open Β· ⏱️ 10.08.2023): +- [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): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7.4K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): ``` pip install geoviews ``` @@ -3706,12 +3679,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
EarthPy (πŸ₯‰27 Β· ⭐ 450) - A package built to support working with spatial data using open source.. BSD-3 -- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 150 Β· πŸ“¦ 240 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 150 Β· πŸ“¦ 240 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3727,7 +3700,7 @@ _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“₯ 23K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 24K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): ``` pip install pysal ``` @@ -3738,16 +3711,16 @@ _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’» 15 Β· πŸ”€ 79 Β· πŸ“¦ 300 Β· πŸ“‹ 53 - 16% open Β· ⏱️ 05.03.2023): +- [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): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 64K / month Β· πŸ“¦ 20 Β· ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 61K / month): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 58K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pymap3d ``` @@ -3757,10 +3730,10 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - 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 - 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· ⭐ 9.9K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 +- 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

@@ -3788,56 +3761,56 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
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· ⏱️ 04.08.2023): +- [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): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ```
-
Alpha Vantage (πŸ₯ˆ29 Β· ⭐ 4K Β· πŸ’€) - A python wrapper for Alpha Vantage API for financial data. MIT +
ta (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 690 Β· πŸ“¦ 380 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 25.12.2022): +- [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): ``` - git clone https://github.com/RomelTorres/alpha_vantage + git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 32K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 60K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): ``` - pip install alpha_vantage + pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge alpha_vantage + conda install -c conda-forge ta ```
-
ta (πŸ₯ˆ29 Β· ⭐ 3.7K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +
Alpha Vantage (πŸ₯ˆ29 Β· ⭐ 4K Β· πŸ’€) - A python wrapper for Alpha Vantage API for financial data. 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/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 690 Β· πŸ“¦ 390 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 25.12.2022): ``` - git clone https://github.com/bukosabino/ta + git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 58K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 30K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): ``` - pip install ta + pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge ta + 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 - 0% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 570 Β· πŸ“‹ 520 - 1% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 27K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 26K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3846,9 +3819,9 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ib-insync ```
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bt (πŸ₯ˆ29 Β· ⭐ 1.7K) - bt - flexible backtesting for Python. MIT +
bt (πŸ₯ˆ29 Β· ⭐ 1.8K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 360 Β· πŸ“¦ 1.5K Β· πŸ“‹ 330 - 23% open Β· ⏱️ 23.05.2023): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 390 Β· πŸ“¦ 1.5K Β· πŸ“‹ 330 - 24% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/pmorissette/bt @@ -3862,14 +3835,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
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ffn (πŸ₯ˆ29 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯‰28 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“¦ 350 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 28.05.2023): +- [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“₯ 250K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 290K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): ``` pip install ffn ``` @@ -3880,7 +3853,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
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”€ 280 Β· πŸ“¦ 910 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 30.07.2023): +- [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): ``` git clone https://github.com/jealous/stockstats @@ -3892,16 +3865,16 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
TensorTrade (πŸ₯‰26 Β· ⭐ 4.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 -- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 46 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 23.08.2022): +- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 48 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 23.08.2022): ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` -- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 2.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensortrade ``` @@ -3913,19 +3886,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.6K / month Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.3K / month Β· ⏱️ 17.08.2023): ``` pip install FinQuant ```
PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.1K) - Python Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.3K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): +- [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/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 600 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 560 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -3949,7 +3922,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 180 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 170 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ``` @@ -3961,7 +3934,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 320 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3970,7 +3943,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - zipline (πŸ₯‡33 Β· ⭐ 16K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡32 Β· ⭐ 5.1K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- arch (πŸ₯ˆ31 Β· ⭐ 1.1K) - ARCH models in Python. ❗️NCSA +- arch (πŸ₯ˆ30 Β· ⭐ 1.1K) - ARCH models in Python. ❗️NCSA - 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 @@ -3988,90 +3961,106 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡39 Β· ⭐ 6.7K) - A unified framework for machine learning with time series. BSD-3 +
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“¦ 1.5K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 17.08.2023): +- [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· ⏱️ 23.08.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 790K / month Β· πŸ“¦ 41 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 760K / month Β· πŸ“¦ 44 Β· ⏱️ 18.08.2023): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 790K Β· ⏱️ 22.07.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 810K Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge sktime-all-extras ```
Prophet (πŸ₯‡36 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· ⏱️ 07.07.2023): +- [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): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 990K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 1M / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 970K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1M Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge prophet ```
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“¦ 920 Β· πŸ“‹ 310 - 38% open Β· ⏱️ 18.07.2023): +- [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): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 270K / month Β· πŸ“¦ 43 Β· ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 270K / month Β· πŸ“¦ 45 Β· ⏱️ 21.08.2023): ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.1M Β· ⏱️ 05.07.2023): +- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.2M Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge tslearn ```
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pmdarima (πŸ₯‡33 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT +
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.1K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 5.9K Β· πŸ“‹ 310 - 14% open Β· ⏱️ 03.07.2023): +- [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): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.5M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 3 Β· ⏱️ 09.08.2023): ``` - pip install pmdarima + pip install neuralprophet ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 880K Β· ⏱️ 16.06.2023): +
+
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): + ``` - conda install -c conda-forge pmdarima + git clone https://github.com/TDAmeritrade/stumpy + ``` +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / 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 install -c conda-forge stumpy ```
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NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.1K) - NeuralProphet: A simple forecasting package. MIT +
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 430 Β· πŸ“¦ 280 Β· πŸ“‹ 480 - 10% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 6K Β· πŸ“‹ 310 - 14% open Β· ⏱️ 03.07.2023): ``` - git clone https://github.com/ourownstory/neural_prophet + git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 3 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.5M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): ``` - pip install neuralprophet + pip install pmdarima + ``` +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 900K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pmdarima ```
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tsfresh (πŸ₯ˆ31 Β· ⭐ 7.6K) - Automatic extraction of relevant features from time series:. MIT +
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): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 260K / month Β· πŸ“¦ 72 Β· ⏱️ 21.12.2021): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 73 Β· ⏱️ 21.12.2021): ``` pip install tsfresh ``` @@ -4082,7 +4071,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯ˆ31 Β· ⭐ 6.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 700 Β· πŸ“¦ 340 Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/unit8co/darts @@ -4100,62 +4089,46 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l docker pull unit8/darts ```
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GluonTS (πŸ₯ˆ31 Β· ⭐ 3.7K) - Probabilistic time series modeling in Python. Apache-2 +
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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 870 - 30% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 280K / month Β· πŸ“¦ 12 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 230K / month Β· πŸ“¦ 12 Β· ⏱️ 07.08.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 450 Β· ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 460 Β· ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
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“¦ 410 Β· πŸ“‹ 210 - 41% open Β· ⏱️ 16.08.2023): +- [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“₯ 440K / month Β· πŸ“¦ 16 Β· ⏱️ 28.02.2023): +- [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“₯ 46K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 47K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge statsforecast ```
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STUMPY (πŸ₯ˆ31 Β· ⭐ 2.7K) - 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“‹ 460 - 13% open Β· ⏱️ 12.08.2023): - - ``` - git clone https://github.com/TDAmeritrade/stumpy - ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / month Β· πŸ“¦ 14 Β· ⏱️ 31.03.2022): - ``` - pip install stumpy - ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 820K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge stumpy - ``` -
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pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.1K) - Time series forecasting with PyTorch. MIT +
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): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4166,32 +4139,32 @@ _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“¦ 35 Β· πŸ“‹ 330 - 22% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 8K / month Β· πŸ“¦ 3 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 7.7K / month Β· πŸ“¦ 3 Β· ⏱️ 16.08.2023): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9.2K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9.4K Β· ⏱️ 16.08.2023): ``` conda install -c conda-forge neuralforecast ```
pyts (πŸ₯ˆ28 Β· ⭐ 1.6K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 440 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 450 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 95K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 100K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` pip install pyts ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 20K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 21K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge pyts ``` @@ -4203,18 +4176,18 @@ _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“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 16K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 710K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 720K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge streamz ```
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“¦ 31 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): +- [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): ``` git clone https://github.com/uber/orbit @@ -4223,33 +4196,33 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 4K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 4.1K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge orbit-ml ```
-
greykite (πŸ₯‰23 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 +
TSFEL (πŸ₯‰24 Β· ⭐ 720) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 97 Β· πŸ“₯ 4 Β· πŸ“¦ 20 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 92 Β· πŸ“‹ 66 - 7% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 16K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 23K / month Β· ⏱️ 22.08.2023): ``` - pip install greykite + pip install tsfel ```
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TSFEL (πŸ₯‰23 Β· ⭐ 710) - An intuitive library to extract features from time series. BSD-3 +
greykite (πŸ₯‰23 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 92 Β· πŸ“‹ 78 - 24% open Β· ⏱️ 02.03.2023): +- [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/fraunhoferportugal/tsfel + git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 24K / month Β· ⏱️ 14.02.2021): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 15K / month Β· ⏱️ 15.07.2022): ``` - pip install tsfel + pip install greykite ```
luminol (πŸ₯‰22 Β· ⭐ 1.1K) - Anomaly Detection and Correlation library. Apache-2 @@ -4264,26 +4237,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install luminol ```
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seglearn (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 +
seglearn (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. 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): ``` git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 13.03.2021): ``` pip install seglearn ```
tick (πŸ₯‰21 Β· ⭐ 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“₯ 280 Β· πŸ“¦ 70 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): +- [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/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 840 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 810 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4295,7 +4268,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 33K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ``` @@ -4307,7 +4280,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4.5K / month Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4.2K / month Β· ⏱️ 16.08.2022): ``` pip install auto-ts ``` @@ -4319,7 +4292,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 320 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 240 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4347,12 +4320,12 @@ _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· ⏱️ 16.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 78K / month Β· πŸ“¦ 270 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 81K / month Β· πŸ“¦ 270 Β· ⏱️ 15.08.2023): ``` pip install mne ``` @@ -4363,7 +4336,7 @@ _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’» 160 Β· πŸ”€ 860 Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/Project-MONAI/MONAI @@ -4379,12 +4352,12 @@ _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“₯ 130 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 17.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 27K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 26K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): ``` pip install nilearn ``` @@ -4395,12 +4368,12 @@ _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“¦ 2.3K 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“¦ 2.9K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 31.07.2023): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 66K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 67K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): ``` pip install nipype ``` @@ -4427,24 +4400,24 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ33 Β· ⭐ 880) - 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· ⏱️ 16.08.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 17K / month Β· πŸ“¦ 15 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / 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“¦ 850 Β· πŸ“‹ 860 - 17% open Β· ⏱️ 14.08.2023): +- [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): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 15K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): ``` pip install dipy ``` @@ -4455,12 +4428,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (πŸ₯ˆ33 Β· ⭐ 570) - 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“¦ 13K Β· πŸ“‹ 500 - 24% open Β· ⏱️ 06.08.2023): +- [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): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 270K / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.04.2023): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 260K / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.04.2023): ``` pip install nibabel ``` @@ -4488,7 +4461,7 @@ _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“₯ 1.5K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.6K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4501,9 +4474,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - NiftyNet (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰23 Β· ⭐ 500 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 -- Glow (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Brainiak (πŸ₯‰20 Β· ⭐ 310 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 +- Glow (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 820 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - MedicalNet (πŸ₯‰13 Β· ⭐ 1.7K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT @@ -4519,12 +4492,12 @@ _Libraries for processing tabular and structured data._
carefree-learn (πŸ₯ˆ21 Β· ⭐ 400) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 790 / month Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 400 / month Β· ⏱️ 14.08.2023): ``` pip install carefree-learn ``` @@ -4544,7 +4517,7 @@ _Libraries for processing tabular and structured data._
Show 3 hidden projects... - miceforest (πŸ₯‡22 Β· ⭐ 260 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT -- upgini (πŸ₯‰19 Β· ⭐ 240) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- upgini (πŸ₯‰20 Β· ⭐ 240) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 510 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4555,93 +4528,93 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡37 Β· ⭐ 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
PaddleOCR (πŸ₯‡38 Β· ⭐ 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 6.4K Β· πŸ“¦ 1.7K Β· πŸ“‹ 7.8K - 7% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 63K / month): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 66K / month Β· πŸ“¦ 27 Β· ⏱️ 10.08.2023): ``` pip install paddleocr ```
-
EasyOCR (πŸ₯‡34 Β· ⭐ 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
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”€ 2.7K Β· πŸ“₯ 5.8M Β· πŸ“¦ 3.5K Β· πŸ“‹ 860 - 32% open Β· ⏱️ 04.07.2023): +- [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): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month Β· πŸ“¦ 67 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month): ``` pip install easyocr ```
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OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 9.6K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯‡33 Β· ⭐ 9.6K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 750 Β· πŸ“₯ 43 Β· πŸ“¦ 580 Β· πŸ“‹ 990 - 10% open Β· ⏱️ 13.08.2023): +- [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): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 12.08.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 41K / month): ``` pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 54K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ocrmypdf ```
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tesserocr (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT +
Tesseract (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [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/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 650 Β· πŸ“‹ 340 - 9% open Β· ⏱️ 03.08.2023): ``` - git clone https://github.com/sirfz/tesserocr + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 57K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.08.2022): ``` - pip install tesserocr + pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge tesserocr + conda install -c conda-forge pytesseract ```
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MMOCR (πŸ₯ˆ28 Β· ⭐ 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
tesserocr (πŸ₯ˆ30 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 660 Β· πŸ“¦ 71 Β· πŸ“‹ 860 - 15% open Β· ⏱️ 26.07.2023): +- [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): ``` - git clone https://github.com/open-mmlab/mmocr + git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 59K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): ``` - pip install mmocr + pip install tesserocr + ``` +- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tesserocr ```
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Tesseract (πŸ₯‰27 Β· ⭐ 5K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
MMOCR (πŸ₯‰28 Β· ⭐ 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 650 Β· πŸ“‹ 340 - 8% open Β· ⏱️ 03.08.2023): +- [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): ``` - git clone https://github.com/madmaze/pytesseract - ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.2M / month): - ``` - pip install pytesseract + git clone https://github.com/open-mmlab/mmocr ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.9K / month): ``` - conda install -c conda-forge pytesseract + pip install mmocr ```
keras-ocr (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 610K Β· πŸ“¦ 290 Β· πŸ“‹ 200 - 43% open Β· ⏱️ 24.12.2022): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 620K Β· πŸ“¦ 300 Β· πŸ“‹ 200 - 43% open Β· ⏱️ 24.12.2022): ``` git clone https://github.com/faustomorales/keras-ocr @@ -4655,21 +4628,21 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ```
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calamari (πŸ₯‰22 Β· ⭐ 990 Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰21 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 - 21% open Β· ⏱️ 22.11.2022): +- [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“₯ 1.4K / month Β· πŸ“¦ 5 Β· ⏱️ 28.02.2022): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.6K / month): ``` pip install calamari_ocr ```
Mozart (πŸ₯‰10 Β· ⭐ 490 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 -- [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 69 Β· πŸ“‹ 14 - 14% open Β· ⏱️ 24.08.2022): +- [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 70 Β· πŸ“‹ 14 - 14% open Β· ⏱️ 24.08.2022): ``` git clone https://github.com/aashrafh/Mozart @@ -4678,8 +4651,8 @@ _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₯‰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 +- 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

@@ -4731,12 +4704,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 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’» 900 Β· πŸ”€ 4.7K Β· πŸ“₯ 86 Β· πŸ“¦ 11K Β· πŸ“‹ 15K - 20% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.2M / month Β· πŸ“¦ 400 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 3.1M / month Β· πŸ“¦ 400 Β· ⏱️ 15.08.2023): ``` pip install ray ``` @@ -4745,50 +4718,50 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge ray-tune ```
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dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 +
DeepSpeed (πŸ₯‡41 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· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/dask/dask + git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.4M / month Β· πŸ“¦ 2.9K Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 520K / month Β· πŸ“¦ 62 Β· ⏱️ 18.08.2023): ``` - pip install dask + pip install deepspeed ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 9.8M Β· ⏱️ 05.08.2023): +- [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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DeepSpeed (πŸ₯‡41 Β· ⭐ 28K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
dask (πŸ₯‡41 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“¦ 2.7K Β· πŸ“‹ 2.1K - 44% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/microsoft/DeepSpeed + git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 510K / month Β· πŸ“¦ 61 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 9.4M / month): ``` - 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“₯ 9.8M Β· ⏱️ 18.08.2023): ``` - docker pull deepspeed/deepspeed + conda install -c conda-forge dask ```
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dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 +
dask.distributed (πŸ₯‡38 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 30K Β· πŸ“‹ 3.6K - 38% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 5.6M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 6.5M / month): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 12M Β· ⏱️ 05.08.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 12M Β· ⏱️ 18.08.2023): ``` conda install -c conda-forge distributed ``` @@ -4800,31 +4773,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 70K / month Β· πŸ“¦ 31 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 79K / month Β· πŸ“¦ 31 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
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H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.4K) - 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· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/h2oai/h2o-3 - ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 350K / month Β· πŸ“¦ 81 Β· ⏱️ 25.07.2023): - ``` - pip install h2o - ``` -
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BigDL (πŸ₯ˆ35 Β· ⭐ 4.3K) - Fast, distributed, secure AI for Big Data. Apache-2 +
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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2K - 39% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): ``` pip install bigdl ``` @@ -4837,14 +4798,26 @@ _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): + + ``` + git clone https://github.com/h2oai/h2o-3 + ``` +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 350K / 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“₯ 3.3K Β· πŸ“¦ 14K Β· πŸ“‹ 670 - 6% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 9.5K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 5.6K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4855,7 +4828,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
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“¦ 250 Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/hpcaitech/colossalai @@ -4868,7 +4841,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 660K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 700K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4879,56 +4852,56 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.4K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 43% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 290K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 330K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): ``` pip install synapseml ```
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dask-ml (πŸ₯ˆ30 Β· ⭐ 860) - Scalable Machine Learning with Dask. BSD-3 +
Elephas (πŸ₯ˆ29 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 840 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): +- [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/dask/dask-ml + git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 210K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 71K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): ``` - pip install dask-ml + pip install elephas ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/elephas) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge dask-ml + conda install -c conda-forge elephas ```
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Elephas (πŸ₯ˆ29 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras +
dask-ml (πŸ₯ˆ29 Β· ⭐ 860) - Scalable Machine Learning with Dask. BSD-3 -- [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): +- [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): ``` - git clone https://github.com/maxpumperla/elephas + git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 72K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 210K / month): ``` - pip install elephas + pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/elephas) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge elephas + conda install -c conda-forge dask-ml ```
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mpi4py (πŸ₯‰28 Β· ⭐ 670) - Python bindings for MPI. BSD-2 +
mpi4py (πŸ₯‰28 Β· ⭐ 680) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 98 Β· πŸ“₯ 14K Β· πŸ“‹ 120 - 6% open Β· ⏱️ 10.08.2023): +- [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): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 170K / month Β· πŸ“¦ 690 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 160K / month Β· πŸ“¦ 690 Β· ⏱️ 02.11.2022): ``` pip install mpi4py ``` @@ -4944,23 +4917,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 360K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 350K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` -- [Conda](https://anaconda.org/conda-forge/tensorflowonspark) (πŸ“₯ 19K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflowonspark) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorflowonspark ```
Mesh (πŸ₯‰27 Β· ⭐ 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 840 Β· πŸ“‹ 110 - 87% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 850 Β· πŸ“‹ 110 - 87% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 140K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 180K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ``` @@ -4977,14 +4950,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install petastorm ```
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Hivemind (πŸ₯‰26 Β· ⭐ 1.6K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
Hivemind (πŸ₯‰25 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“¦ 68 Β· πŸ“‹ 160 - 35% open Β· ⏱️ 22.07.2023): +- [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): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 9.5K / month Β· πŸ“¦ 5 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 7.4K / month Β· πŸ“¦ 5 Β· ⏱️ 23.07.2023): ``` pip install hivemind ``` @@ -5000,7 +4973,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge submitit ``` @@ -5019,7 +4992,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (πŸ₯‰23 Β· ⭐ 4.4K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 43% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -5029,14 +5002,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install mmlspark ```
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launchpad (πŸ₯‰22 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 +
launchpad (πŸ₯‰23 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/deepmind/launchpad) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 33 Β· πŸ“¦ 63 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -5052,7 +5025,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.3K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.4K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ``` @@ -5076,7 +5049,7 @@ _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 -- ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.4K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed +- 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 - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 @@ -5095,14 +5068,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
NNI (πŸ₯‡36 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯‡35 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): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 22K / month Β· πŸ“¦ 34 Β· ⏱️ 22.06.2022): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 22K / month): ``` pip install nni ``` @@ -5125,12 +5098,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 83K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 84K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): ``` pip install featuretools ``` @@ -5141,7 +5114,7 @@ _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· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/facebook/Ax @@ -5157,40 +5130,40 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡33 Β· ⭐ 2.7K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 330 Β· πŸ“¦ 640 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 200K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 80K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 81K 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“¦ 540 Β· πŸ“‹ 890 - 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“‹ 880 - 14% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 9.6K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 9.4K / month): ``` 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“₯ 49 Β· πŸ“¦ 480 Β· πŸ“‹ 990 - 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“‹ 980 - 16% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 29K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 32K / month): ``` pip install auto-sklearn ``` @@ -5199,7 +5172,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge auto-sklearn ```
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Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 6.9K) - A Python implementation of global optimization with.. MIT +
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 7K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 130 Β· πŸ“¦ 2K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 14.07.2023): @@ -5218,7 +5191,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 72K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 75K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): ``` pip install nevergrad ``` @@ -5227,14 +5200,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ```
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mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ“ˆ) - Python package for AutoML on Tabular Data with Feature.. MIT +
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): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install mljar-supervised ``` @@ -5259,14 +5232,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge keras-tuner ```
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AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.1K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 +
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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 24.08.2023): ``` pip install autogluon ``` @@ -5282,7 +5255,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 27K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 29K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): ``` pip install lazypredict ``` @@ -5310,7 +5283,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 8.1K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ``` @@ -5327,26 +5300,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install talos ```
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FEDOT (πŸ₯ˆ23 Β· ⭐ 550) - Automated modeling and machine learning framework FEDOT. BSD-3 +
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“‹ 470 - 19% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ```
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featurewiz (πŸ₯‰22 Β· ⭐ 450) - Use advanced feature engineering strategies and select best.. Apache-2 +
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): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install featurewiz ``` @@ -5358,26 +5331,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 560 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): ``` pip install neuraxle ```
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Hyperactive (πŸ₯‰21 Β· ⭐ 450) - 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“₯ 990 / month Β· πŸ“¦ 5 Β· ⏱️ 04.05.2022): - ``` - pip install hyperactive - ``` -
igel (πŸ₯‰20 Β· ⭐ 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT -- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): +- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): ``` git clone https://github.com/nidhaloff/igel @@ -5387,26 +5348,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install igel ```
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Dragonfly (πŸ₯‰20 Β· ⭐ 790 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT +
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): ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 34K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): ``` pip install dragonfly-opt ```
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Auto ViML (πŸ₯‰19 Β· ⭐ 460) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
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”€ 91 Β· πŸ“¦ 22 Β· πŸ“‹ 28 - 14% open Β· ⏱️ 21.05.2023): +- [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): ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 630 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 350 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` pip install autoviml ``` @@ -5418,33 +5391,33 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 110 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 67 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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opytimizer (πŸ₯‰17 Β· ⭐ 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
shap-hypetune (πŸ₯‰18 Β· ⭐ 480 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT -- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 37 Β· πŸ“¦ 15 Β· ⏱️ 11.05.2023): +- [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): ``` - git clone https://github.com/gugarosa/opytimizer + git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 270 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): ``` - pip install opytimizer + pip install shap-hypetune ```
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shap-hypetune (πŸ₯‰17 Β· ⭐ 470 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
opytimizer (πŸ₯‰17 Β· ⭐ 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 -- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 57 Β· πŸ“¦ 14 Β· πŸ“‹ 26 - 7% open Β· ⏱️ 24.08.2022): +- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 37 Β· πŸ“¦ 15 Β· ⏱️ 11.05.2023): ``` - git clone https://github.com/cerlymarco/shap-hypetune + git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 3.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 300 / month Β· ⏱️ 04.05.2022): ``` - pip install shap-hypetune + pip install opytimizer ```
Show 26 hidden projects... @@ -5453,9 +5426,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - 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 -- AdaNet (πŸ₯ˆ23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- SMAC3 (πŸ₯ˆ23 Β· ⭐ 890) - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter.. ❗Unlicensed -- HpBandSter (πŸ₯ˆ23 Β· ⭐ 580 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 +- SMAC3 (πŸ₯ˆ25 Β· ⭐ 890) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 +- 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 @@ -5465,9 +5438,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - 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 -- automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - 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 @@ -5491,7 +5464,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 380K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 370K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5502,12 +5475,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
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“¦ 1.2K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 310K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 260K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): ``` pip install tf-agents ``` @@ -5519,7 +5492,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 960 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 850 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): ``` pip install vizdoom ``` @@ -5538,7 +5511,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
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· ⏱️ 13.08.2023): +- [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): ``` git clone https://github.com/AI4Finance-Foundation/FinRL @@ -5548,42 +5521,42 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install finrl ```
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Acme (πŸ₯ˆ27 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 +
TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 400 Β· πŸ“¦ 160 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.6K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): ``` - git clone https://github.com/deepmind/acme - ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): - ``` - pip install dm-acme + git clone https://github.com/tensorlayer/tensorlayer ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.3K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.1K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): ``` - conda install -c conda-forge dm-acme + pip install tensorlayer ```
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TensorLayer (πŸ₯ˆ26 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
Acme (πŸ₯ˆ27 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.6K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): +- [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): ``` - git clone https://github.com/tensorlayer/tensorlayer + git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` - pip install tensorlayer + pip install dm-acme + ``` +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dm-acme ```
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PARL (πŸ₯ˆ26 Β· ⭐ 3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰26 Β· ⭐ 3.1K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 500 - 20% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5595,7 +5568,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 580 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 510 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ``` @@ -5607,7 +5580,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 170K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 140K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5626,24 +5599,24 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
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· ⏱️ 17.07.2023): +- [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“₯ 25 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 24 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
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TensorForce (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ“‰) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
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): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 540 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -5655,7 +5628,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5667,14 +5640,14 @@ _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“₯ 99 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 75 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
rliable (πŸ₯‰12 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“¦ 83 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): +- [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): ``` git clone https://github.com/google-research/rliable @@ -5702,21 +5675,21 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 420 Β· πŸ“¦ 79 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“₯ 420 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“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 50K / 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· ⏱️ 20.07.2023): +- [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): ``` git clone https://github.com/benfred/implicit @@ -5737,7 +5710,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 430K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 440K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5765,7 +5738,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 360K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 370K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ``` @@ -5786,19 +5759,19 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
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torchrec (πŸ₯ˆ27 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 +
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“¦ 22 Β· πŸ“‹ 220 - 60% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 91 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 68 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
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Cornac (πŸ₯ˆ27 Β· ⭐ 740) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
Cornac (πŸ₯‰27 Β· ⭐ 740) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 130 - 7% open Β· ⏱️ 13.08.2023): @@ -5816,12 +5789,12 @@ _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“‹ 760 - 16% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 520 Β· πŸ“‹ 780 - 18% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): ``` pip install recbole ``` @@ -5830,23 +5803,23 @@ _Libraries for building and evaluating recommendation systems._ conda install -c aibox recbole ```
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recmetrics (πŸ₯‰21 Β· ⭐ 520) - A library of metrics for evaluating recommender systems. MIT +
recmetrics (πŸ₯‰21 Β· ⭐ 530) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 97 Β· πŸ“₯ 5 Β· πŸ“¦ 43 Β· πŸ“‹ 27 - 48% open Β· ⏱️ 16.06.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 5 Β· πŸ“¦ 44 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 10K / month Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 12K / month Β· ⏱️ 26.04.2022): ``` pip install recmetrics ```
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 - Collie (πŸ₯‰18 Β· ⭐ 100) - A library for preparing, training, and evaluating scalable deep.. BSD-3 @@ -5862,12 +5835,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡36 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“‹ 3.5K - 4% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.7K / month Β· πŸ“¦ 5 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.9K / month Β· πŸ“¦ 5 Β· ⏱️ 24.08.2023): ``` pip install syft ``` @@ -5879,7 +5852,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 30K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5895,7 +5868,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 16K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): ``` pip install tensorflow-privacy ``` @@ -5907,7 +5880,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 3 / month Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 4 / month Β· ⏱️ 06.05.2020): ``` pip install ETAF ``` @@ -5919,19 +5892,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 310 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 330 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ```
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”€ 280 Β· πŸ“¦ 30 Β· πŸ“‹ 250 - 25% 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· ⏱️ 12.08.2023): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 270 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 250 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5950,7 +5923,7 @@ _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’» 620 Β· πŸ”€ 3.5K Β· πŸ“¦ 23K Β· πŸ“‹ 3.3K - 36% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/mlflow/mlflow @@ -5959,19 +5932,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.4M Β· ⏱️ 15.08.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.5M Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge mlflow ```
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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 19M / month Β· πŸ“¦ 2.8K Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 20M / month Β· πŸ“¦ 2.8K Β· ⏱️ 08.08.2023): ``` pip install tensorboard ``` @@ -5982,28 +5955,28 @@ _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“₯ 37K Β· πŸ“¦ 9K Β· πŸ“‹ 4.4K - 12% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 710K / month Β· πŸ“¦ 67 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 750K / month Β· πŸ“¦ 68 Β· ⏱️ 22.08.2023): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 12.08.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge dvc ```
wandb client (πŸ₯‡41 Β· ⭐ 7.1K) - 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· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 4.7M / month Β· πŸ“¦ 500 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 5.6M / month Β· πŸ“¦ 500 Β· ⏱️ 01.08.2023): ``` pip install wandb ``` @@ -6014,16 +5987,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
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· ⏱️ 16.08.2023): +- [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· ⏱️ 23.08.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 32M / month Β· πŸ“¦ 79 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 32M / month Β· πŸ“¦ 80 Β· ⏱️ 21.08.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 14.08.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 22.08.2023): ``` conda install -c conda-forge sagemaker-python-sdk ``` @@ -6035,7 +6008,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 240K / month Β· πŸ“¦ 14 Β· ⏱️ 06.06.2022): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 230K / month Β· πŸ“¦ 14 Β· ⏱️ 06.06.2022): ``` pip install pycaret ``` @@ -6046,16 +6019,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
tensorboardX (πŸ₯ˆ35 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 33K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 34K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.4M / month Β· πŸ“¦ 970 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.4M / month Β· πŸ“¦ 980 Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.1M Β· ⏱️ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.1M Β· ⏱️ 20.08.2023): ``` conda install -c conda-forge tensorboardx ``` @@ -6067,7 +6040,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 89K / month Β· πŸ“¦ 240 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 85K / month Β· πŸ“¦ 240 Β· ⏱️ 09.08.2023): ``` pip install snakemake ``` @@ -6078,40 +6051,24 @@ _Libraries to organize, track, and visualize machine learning experiments._
AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. 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· ⏱️ 28.06.2023): +- [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): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.3M / month Β· πŸ“¦ 46 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.3M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): ``` pip install azureml-sdk ```
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Metaflow (πŸ₯ˆ33 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): - - ``` - git clone https://github.com/Netflix/metaflow - ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 150K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2023): - ``` - pip install metaflow - ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 140K Β· ⏱️ 19.07.2023): - ``` - conda install -c conda-forge metaflow - ``` -
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ClearML (πŸ₯ˆ33 Β· ⭐ 4.6K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 +
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“₯ 1.4K Β· πŸ“¦ 670 Β· πŸ“‹ 860 - 42% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 220K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 220K / month): ``` pip install clearml ``` @@ -6122,12 +6079,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ33 Β· ⭐ 4.1K) - 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“¦ 290 Β· πŸ“‹ 930 - 31% open Β· ⏱️ 14.08.2023): +- [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): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 110K / month Β· πŸ“¦ 13 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 23.08.2023): ``` pip install aim ``` @@ -6136,6 +6093,22 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge aim ```
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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): + + ``` + git clone https://github.com/Netflix/metaflow + ``` +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 170K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2023): + ``` + pip install metaflow + ``` +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 140K 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): @@ -6147,7 +6120,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 130K Β· ⏱️ 18.07.2023): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 140K Β· ⏱️ 18.07.2023): ``` conda install -c conda-forge kaggle ``` @@ -6159,23 +6132,23 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 150K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 140K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): ``` pip install visualdl ```
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Neptune.ai (πŸ₯ˆ30 Β· ⭐ 400) - The MLOps stack component for experiment tracking. Apache-2 +
Neptune.ai (πŸ₯ˆ30 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 47 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 23.08.2023): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 210K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 210K Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge neptune-client ``` @@ -6187,7 +6160,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 28K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 30K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): ``` pip install sacred ``` @@ -6196,26 +6169,26 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sacred ```
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ml-metadata (πŸ₯‰28 Β· ⭐ 550) - For recording and retrieving metadata associated with ML.. Apache-2 +
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· ⏱️ 15.08.2023): +- [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· ⏱️ 17.08.2023): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 99K / month Β· πŸ“¦ 22 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 100K / month Β· πŸ“¦ 22 Β· ⏱️ 10.08.2023): ``` pip install ml-metadata ```
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“‹ 80 - 23% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 240 Β· πŸ“‹ 83 - 26% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.2K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.1K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ``` @@ -6234,19 +6207,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (πŸ₯‰25 Β· ⭐ 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 96 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5.2K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): ``` pip install labml ```
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quinn (πŸ₯‰23 Β· ⭐ 500) - pyspark methods to enhance developer productivity. Apache-2 +
quinn (πŸ₯‰24 Β· ⭐ 500) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 67 Β· πŸ“₯ 8 Β· πŸ“¦ 68 Β· πŸ“‹ 65 - 53% open Β· ⏱️ 08.05.2023): +- [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): ``` git clone https://github.com/MrPowers/quinn @@ -6275,31 +6248,31 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.3K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ```
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lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +
lore (πŸ₯‰20 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“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): +- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): ``` pip install lore ```
caliban (πŸ₯‰16 Β· ⭐ 480) - Research workflows made easy, locally and in the Cloud. Apache-2 -- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 67 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 01.08.2023): +- [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“₯ 71 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 33 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -6307,19 +6280,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 14 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 -- SKLL (πŸ₯‰27 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- 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 -- MXBoard (πŸ₯‰20 Β· ⭐ 330 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- 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 - 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₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 +- traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6331,12 +6304,12 @@ _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· ⏱️ 16.08.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 18K Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.7M / month Β· πŸ“¦ 560 Β· ⏱️ 04.05.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.7M / month Β· πŸ“¦ 570 Β· ⏱️ 04.05.2023): ``` pip install onnx ``` @@ -6345,38 +6318,38 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge onnx ```
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triton (πŸ₯‡39 Β· ⭐ 7.9K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡40 Β· ⭐ 7.9K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 830 Β· πŸ“¦ 6.1K Β· πŸ“‹ 760 - 41% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4M / month Β· πŸ“¦ 47 Β· ⏱️ 17.03.2023): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4.2M / month Β· πŸ“¦ 49 Β· ⏱️ 17.03.2023): ``` pip install triton ```
BentoML (πŸ₯ˆ35 Β· ⭐ 5.5K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 610 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 940 - 19% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 620 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 950 - 20% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 100K / month Β· πŸ“¦ 10 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 11 Β· ⏱️ 24.08.2023): ``` 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“‹ 540 - 20% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“‹ 560 - 23% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 14M / month Β· πŸ“¦ 370 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 15M / month Β· πŸ“¦ 380 Β· ⏱️ 07.07.2023): ``` pip install huggingface_hub ``` @@ -6387,7 +6360,7 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 3.6K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 7.5K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.2K - 19% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 7.6K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.2K - 19% open Β· ⏱️ 18.08.2023): ``` git clone https://github.com/apple/coremltools @@ -6403,7 +6376,7 @@ _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· ⏱️ 08.08.2023): +- [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): ``` git clone https://github.com/pytorch/serve @@ -6412,7 +6385,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 100K Β· ⏱️ 14.06.2023): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 110K Β· ⏱️ 14.06.2023): ``` conda install -c pytorch torchserve ``` @@ -6423,16 +6396,16 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 280 Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 290 Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 32K Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 33K Β· ⏱️ 12.07.2023): ``` conda install -c conda-forge hummingbird-ml ``` @@ -6456,19 +6429,19 @@ _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“₯ 530 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 470 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): ``` pip install mmdnn ```
hls4ml (πŸ₯ˆ25 Β· ⭐ 900) - 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· ⏱️ 16.08.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 580 / month Β· ⏱️ 12.11.2021): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 470 / month Β· ⏱️ 12.11.2021): ``` pip install hls4ml ``` @@ -6484,14 +6457,14 @@ _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“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ```
nebullvm (πŸ₯‰23 Β· ⭐ 8.3K) - The next-generation platform to monitor and optimize your AI costs.. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 640 Β· πŸ“‹ 200 - 47% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/nebuly-ai/nebullvm @@ -6508,7 +6481,7 @@ _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₯‰15 Β· ⭐ 140) - Toolkit for developing and maintaining ML models. MIT +- modelkit (πŸ₯‰16 Β· ⭐ 140) - 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
@@ -6522,7 +6495,7 @@ _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· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/slundberg/shap @@ -6531,7 +6504,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2M Β· ⏱️ 26.07.2023): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.1M Β· ⏱️ 26.07.2023): ``` conda install -c conda-forge shap ``` @@ -6554,36 +6527,36 @@ _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“₯ 50K Β· πŸ“¦ 10 Β· πŸ“‹ 970 - 2% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 17.08.2023): ``` pip install netron ```
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InterpretML (πŸ₯‡34 Β· ⭐ 5.6K) - Fit interpretable models. Explain blackbox machine learning. MIT +
InterpretML (πŸ₯‡34 Β· ⭐ 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 670 Β· πŸ“¦ 500 Β· πŸ“‹ 380 - 15% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 64K / month): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 61K / month Β· πŸ“¦ 28 Β· ⏱️ 05.08.2023): ``` pip install interpret ```
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Captum (πŸ₯‡32 Β· ⭐ 4.1K) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (πŸ₯‡31 Β· ⭐ 4.1K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 430 Β· πŸ“¦ 1.4K Β· πŸ“‹ 460 - 30% open Β· ⏱️ 08.07.2023): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.4K Β· πŸ“‹ 500 - 35% open Β· ⏱️ 08.07.2023): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): ``` pip install captum ``` @@ -6592,14 +6565,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge captum ```
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pyLDAvis (πŸ₯ˆ31 Β· ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
pyLDAvis (πŸ₯‡31 Β· ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 350 Β· πŸ“¦ 5.3K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 5.3K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 290K / month): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 290K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): ``` pip install pyldavis ``` @@ -6610,12 +6583,12 @@ _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”€ 850 Β· πŸ“₯ 33 Β· πŸ“¦ 280 Β· πŸ“‹ 390 - 29% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 43K / month Β· πŸ“¦ 5 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 43K / month Β· πŸ“¦ 7 Β· ⏱️ 30.07.2023): ``` pip install dowhy ``` @@ -6626,12 +6599,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.6K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 870 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 880 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 140K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` @@ -6642,172 +6615,156 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
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“¦ 340 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): +- [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): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 38K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 36K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge explainerdashboard ```
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evaluate (πŸ₯ˆ30 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“¦ 3.4K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 24.06.2023): - - ``` - git clone https://github.com/huggingface/evaluate - ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 750K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): - ``` - pip install evaluate - ``` -
Alibi (πŸ₯ˆ29 Β· ⭐ 2.1K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“¦ 510 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 510 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 16K / month): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 16K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): ``` pip install alibi ```
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.6K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 450 - 38% open Β· ⏱️ 31.07.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 450 - 38% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): ``` pip install fairlearn ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 28K Β· ⏱️ 28.07.2023): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 29K Β· ⏱️ 28.07.2023): ``` conda install -c conda-forge fairlearn ```
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imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
evaluate (πŸ₯ˆ29 Β· ⭐ 1.5K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 75 - 34% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 85K / month Β· πŸ“¦ 4 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 730K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): ``` - pip install imodels + pip install evaluate ```
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shapash (πŸ₯ˆ28 Β· ⭐ 2.4K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 +
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 120 Β· πŸ“‹ 160 - 18% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 5.6K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): ``` - pip install shapash + pip install tensorflow-model-analysis ```
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responsible-ai-widgets (πŸ₯ˆ28 Β· ⭐ 930) - Responsible AI Toolbox is a suite of tools providing.. MIT +
imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 63 Β· πŸ“‹ 320 - 29% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6.7K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 89K / month Β· πŸ“¦ 4 Β· ⏱️ 22.08.2023): ``` - pip install raiwidgets + pip install imodels ```
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CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 +
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 930) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): +- [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): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6.9K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): ``` - pip install causalnex + pip install raiwidgets ```
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Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 +
shapash (πŸ₯ˆ28 Β· ⭐ 2.4K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 79 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 120 Β· πŸ“‹ 170 - 18% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/Trusted-AI/AIX360 + git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 710 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): ``` - pip install aix360 + pip install shapash ```
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Model Analysis (πŸ₯ˆ27 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 +
CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 250 Β· πŸ“‹ 73 - 28% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): ``` - pip install tensorflow-model-analysis + pip install causalnex ```
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yellowbrick (πŸ₯‰26 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 79 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 420K / month Β· πŸ“¦ 79 Β· ⏱️ 21.08.2022): - ``` - pip install yellowbrick + git clone https://github.com/Trusted-AI/AIX360 ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 700 / month): ``` - conda install -c conda-forge yellowbrick + pip install aix360 ```
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”€ 700 Β· πŸ“¦ 290 Β· πŸ“‹ 260 - 65% open Β· ⏱️ 27.07.2023): +- [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): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.5K / month Β· πŸ“¦ 11 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5.5K / month): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 6.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge aif360 ```
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“₯ 76 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“₯ 77 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“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): ``` pip install innvestigate ``` @@ -6819,7 +6776,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.9K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.4K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6828,54 +6785,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge checklist ```
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DiCE (πŸ₯‰24 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 41% open Β· ⏱️ 06.08.2023): +- [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/interpretml/DiCE + git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 72K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` - pip install dice-ml + pip install keract + ``` +
+
yellowbrick (πŸ₯‰23 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”€ 530 Β· πŸ“‹ 690 - 11% open Β· ⏱️ 05.07.2023): + + ``` + git clone https://github.com/DistrictDataLabs/yellowbrick + ``` +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 390K / month): + ``` + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick ```
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“‹ 160 - 53% open Β· ⏱️ 02.12.2022): +- [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): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 1.1K / month): ``` pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 64K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lit-nlp ```
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keract (πŸ₯‰23 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT +
DiCE (πŸ₯‰23 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“‹ 88 - 2% open Β· ⏱️ 08.08.2023): +- [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/philipperemy/keract + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 7K / month): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 91K / month): ``` - pip install keract + pip install dice-ml ```
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What-If Tool (πŸ₯‰23 Β· ⭐ 830) - Source code/webpage/demos for the What-If Tool. Apache-2 +
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“‹ 140 - 58% open Β· ⏱️ 27.04.2023): +- [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): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.2K / month): ``` pip install witwidget ``` @@ -6883,43 +6856,31 @@ _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“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 740 / month): ``` npm install wit-widget ```
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model-card-toolkit (πŸ₯‰23 Β· ⭐ 380) - A toolkit that streamlines and automates the generation.. Apache-2 +
model-card-toolkit (πŸ₯‰22 Β· ⭐ 380) - A toolkit that streamlines and automates the generation.. Apache-2 - [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 8 Β· πŸ“¦ 19 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
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aequitas (πŸ₯‰22 Β· ⭐ 560) - Bias and Fairness Audit Toolkit. MIT - -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 140 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 12.05.2023): - - ``` - git clone https://github.com/dssg/aequitas - ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): - ``` - pip install aequitas - ``` -
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“₯ 64 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 - 46% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 680 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6928,6 +6889,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge ecco ```
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aequitas (πŸ₯‰21 Β· ⭐ 560) - Bias and Fairness Audit Toolkit. MIT + +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 140 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 20.08.2023): + + ``` + git clone https://github.com/dssg/aequitas + ``` +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): + ``` + pip install aequitas + ``` +
fairness-indicators (πŸ₯‰19 Β· ⭐ 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 16.08.2023): @@ -6935,23 +6908,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.2K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.3K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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LOFO (πŸ₯‰18 Β· ⭐ 760) - Leave One Feature Out Importance. MIT +
LOFO (πŸ₯‰18 Β· ⭐ 770) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 27 - 22% open Β· ⏱️ 14.04.2023): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): ``` pip install lofo-importance ```
+
sklearn-evaluation (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT + +- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): + + ``` + 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): + ``` + pip install sklearn-evaluation + ``` +
ExplainX.ai (πŸ₯‰16 Β· ⭐ 360 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 49 Β· πŸ“₯ 11 Β· πŸ“‹ 29 - 41% open Β· ⏱️ 15.09.2022): @@ -6959,35 +6944,34 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.8K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.7K / month): ``` pip install explainx ```
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Show 22 hidden projects... +
Show 21 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- Deep Checks (πŸ₯ˆ29 Β· ⭐ 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗Unlicensed +- Deep Checks (πŸ₯ˆ30 Β· ⭐ 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - eli5 (πŸ₯ˆ28 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- scikit-plot (πŸ₯ˆ27 Β· ⭐ 2.3K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯‰26 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- random-forest-importances (πŸ₯‰22 Β· ⭐ 560 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT +- TreeInterpreter (πŸ₯‰23 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- tf-explain (πŸ₯‰22 Β· ⭐ 990 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT +- random-forest-importances (πŸ₯‰22 Β· ⭐ 570 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - Quantus (πŸ₯‰22 Β· ⭐ 400) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- Skater (πŸ₯‰21 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- tf-explain (πŸ₯‰21 Β· ⭐ 990 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - Public facing deeplift repo. MIT -- TreeInterpreter (πŸ₯‰21 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- 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₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- Anchor (πŸ₯‰15 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₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰10 Β· ⭐ 43 Β· πŸ’€) - MIT -- sklearn-evaluation (πŸ₯‰9 Β· ⭐ 1 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- Attribution Priors (πŸ₯‰11 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

@@ -7001,44 +6985,44 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡39 Β· ⭐ 22K) - 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“₯ 36K Β· πŸ“‹ 8.7K - 7% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 470K / month Β· πŸ“¦ 31 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 460K / month Β· πŸ“¦ 32 Β· ⏱️ 23.08.2023): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.3M Β· ⭐ 32 Β· ⏱️ 17.08.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.4M Β· ⭐ 32 Β· ⏱️ 24.08.2023): ``` 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“¦ 1.9K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 470K / month Β· πŸ“¦ 31 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 460K / month Β· πŸ“¦ 32 Β· ⏱️ 23.08.2023): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 850K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 860K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge faiss ```
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Annoy (πŸ₯ˆ35 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (πŸ₯ˆ36 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 390 - 13% open Β· ⏱️ 14.06.2023): +- [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“₯ 980K / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 970K / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -7047,30 +7031,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge python-annoy ```
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hnswlib (πŸ₯ˆ30 Β· ⭐ 3.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 +
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“¦ 3.2K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 05.02.2023): +- [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): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 840K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 800K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 100K Β· ⏱️ 28.06.2023): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 110K Β· ⏱️ 28.06.2023): ``` conda install -c conda-forge hnswlib ```
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PyNNDescent (πŸ₯ˆ30 Β· ⭐ 780) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
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”€ 97 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 98 Β· πŸ“¦ 4.2K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 810K / month Β· πŸ“¦ 54 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 800K / month Β· πŸ“¦ 55 Β· ⏱️ 31.10.2022): ``` pip install pynndescent ``` @@ -7079,22 +7063,22 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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USearch (πŸ₯‰24 Β· ⭐ 640 Β· 🐣) - Fastest search engine in a single file - supporting C++ 11, C 99,.. Apache-2 +
USearch (πŸ₯‰24 Β· ⭐ 660 Β· 🐣) - Fastest Similarity Search engine for Vectors and Strings in C++.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 29 Β· πŸ“₯ 59 Β· πŸ“¦ 7 Β· πŸ“‹ 38 - 36% open Β· ⏱️ 07.08.2023): +- [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): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 7.5K / month Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 4.7K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 1.7K / month Β· ⏱️ 07.08.2023): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 24.08.2023): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 2 Β· ⭐ 1 Β· ⏱️ 07.08.2023): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 19 Β· ⭐ 1 Β· ⏱️ 24.08.2023): ``` docker pull unum/usearch ``` @@ -7118,7 +7102,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 760 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 680 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -7130,7 +7114,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 470 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 450 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7151,12 +7135,12 @@ _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· ⏱️ 16.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 410K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 420K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -7167,12 +7151,12 @@ _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· ⏱️ 16.08.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 420 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.2M / month Β· πŸ“¦ 420 Β· ⏱️ 04.08.2023): ``` pip install tensorflow-probability ``` @@ -7183,16 +7167,16 @@ _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“¦ 1.5K 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· ⏱️ 06.08.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 600K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 620K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 95K Β· ⏱️ 29.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 97K Β· ⏱️ 29.07.2023): ``` conda install -c conda-forge pyro-ppl ``` @@ -7204,7 +7188,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` @@ -7220,11 +7204,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/rlabbe/filterpy ``` -- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 2M / month Β· πŸ“¦ 160 Β· ⏱️ 10.10.2018): +- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 2.1M / month Β· πŸ“¦ 160 Β· ⏱️ 10.10.2018): ``` pip install filterpy ``` -- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge filterpy ``` @@ -7247,24 +7231,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.4K) - 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“¦ 700 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 17.08.2023): +- [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· ⏱️ 24.08.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 57K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 54K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): ``` pip install pgmpy ```
patsy (πŸ₯ˆ31 Β· ⭐ 900 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 77K Β· πŸ“‹ 150 - 49% open Β· ⏱️ 09.10.2022): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 78K Β· πŸ“‹ 150 - 49% open Β· ⏱️ 09.10.2022): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.4M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.5M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): ``` pip install patsy ``` @@ -7275,7 +7259,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
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 - 14% open Β· ⏱️ 20.07.2023): +- [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): ``` git clone https://github.com/SALib/SALib @@ -7284,19 +7268,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/salib): ``` conda install -c conda-forge salib ```
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pandas-ta (πŸ₯‰30 Β· ⭐ 3.9K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +
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): ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 69K / month Β· πŸ“¦ 32 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 71K / month Β· πŸ“¦ 32 Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ``` @@ -7328,7 +7312,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 51K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 48K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): ``` pip install gpflow ``` @@ -7355,12 +7339,12 @@ _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“¦ 81 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 10.08.2023): +- [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): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 02.07.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 19K / month Β· πŸ“¦ 6 Β· ⏱️ 02.07.2023): ``` pip install bambi ``` @@ -7369,32 +7353,32 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
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Orbit (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +
Baal (πŸ₯‰24 Β· ⭐ 770) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 31 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): +- [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): ``` - git clone https://github.com/uber/orbit + git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 03.05.2022): ``` - pip install orbit-ml + pip install baal + ``` +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 6.8K Β· ⏱️ 12.06.2023): + ``` + conda install -c conda-forge baal ```
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Baal (πŸ₯‰23 Β· ⭐ 770) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 +
Orbit (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. 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· ⏱️ 17.07.2023): +- [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): ``` - git clone https://github.com/baal-org/baal - ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 03.05.2022): - ``` - pip install baal + git clone https://github.com/uber/orbit ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 6.7K Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` - conda install -c conda-forge baal + pip install orbit-ml ```
Show 7 hidden projects... @@ -7402,7 +7386,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - pingouin (πŸ₯‰28 Β· ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - 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· ⭐ 290) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +- scikit-posthocs (πŸ₯‰21 Β· ⭐ 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - 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 @@ -7417,23 +7401,23 @@ _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“¦ 400 Β· πŸ“‹ 830 - 13% open Β· ⏱️ 03.08.2023): +- [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): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 45K / month Β· πŸ“¦ 7 Β· ⏱️ 30.06.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 42K / month Β· πŸ“¦ 8 Β· ⏱️ 20.08.2023): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 31K Β· ⏱️ 01.07.2023): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 31K Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
CleverHans (πŸ₯ˆ30 Β· ⭐ 5.9K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 500 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 510 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): ``` git clone https://github.com/cleverhans-lab/cleverhans @@ -7442,7 +7426,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` pip install cleverhans ``` -- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge cleverhans ``` @@ -7454,11 +7438,11 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.6K / month Β· πŸ“¦ 6 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.7K / month Β· πŸ“¦ 6 Β· ⏱️ 25.05.2022): ``` pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textattack ``` @@ -7470,7 +7454,7 @@ _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“₯ 36 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 38 / month Β· ⏱️ 05.12.2018): ``` pip install advbox ``` @@ -7491,62 +7475,58 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (πŸ₯‡38 Β· ⭐ 7.1K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT +
optimum (πŸ₯‡32 Β· ⭐ 1.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 700 Β· πŸ“₯ 140K Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 17.08.2023): +- [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): ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 21K / month Β· πŸ“¦ 190 Β· ⏱️ 08.08.2023): - ``` - pip install cupy + git clone https://github.com/huggingface/optimum ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 190K / month Β· πŸ“¦ 19 Β· ⏱️ 23.08.2023): ``` - conda install -c conda-forge cupy + pip install optimum ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 58K Β· ⭐ 11 Β· ⏱️ 15.08.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.7K Β· ⏱️ 18.06.2023): ``` - docker pull cupy/cupy + conda install -c conda-forge optimum ```
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optimum (πŸ₯‡32 Β· ⭐ 1.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
cuDF (πŸ₯‡31 Β· ⭐ 5.9K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 250 Β· πŸ“¦ 390 Β· πŸ“‹ 470 - 43% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 720 Β· πŸ“‹ 5.7K - 15% open Β· ⏱️ 24.08.2023): ``` - git clone https://github.com/huggingface/optimum - ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 190K / month Β· πŸ“¦ 18 Β· ⏱️ 17.08.2023): - ``` - pip install optimum + git clone https://github.com/rapidsai/cudf ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.6K Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 1.7K / month Β· πŸ“¦ 8 Β· ⏱️ 01.06.2020): ``` - conda install -c conda-forge optimum + pip install cudf ```
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cuDF (πŸ₯ˆ31 Β· ⭐ 5.9K) - cuDF - GPU DataFrame Library. Apache-2 +
gpustat (πŸ₯‡31 Β· ⭐ 3.5K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 720 Β· πŸ“‹ 5.6K - 15% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 3.9K Β· πŸ“‹ 120 - 25% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/rapidsai/cudf + git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 1.8K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.2M / month Β· πŸ“¦ 130 Β· ⏱️ 22.08.2023): ``` - pip install cudf + pip install gpustat + ``` +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 250K Β· ⏱️ 23.08.2023): + ``` + conda install -c conda-forge gpustat ```
-
PyCUDA (πŸ₯ˆ31 Β· ⭐ 1.6K) - CUDA integration for Python, plus shiny features. MIT +
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): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 40K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 39K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): ``` pip install pycuda ``` @@ -7557,7 +7537,7 @@ _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· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/NVIDIA/apex @@ -7569,7 +7549,7 @@ _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· ⏱️ 09.08.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/rapidsai/cuml @@ -7579,37 +7559,21 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c pip install cuml ```
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gpustat (πŸ₯ˆ29 Β· ⭐ 3.5K) - A simple command-line utility for querying and monitoring GPU status. MIT - -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 3.9K Β· πŸ“‹ 120 - 25% open Β· ⏱️ 01.06.2023): - - ``` - git clone https://github.com/wookayin/gpustat - ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.2M / month Β· πŸ“¦ 130 Β· ⏱️ 05.04.2023): - ``` - pip install gpustat - ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 250K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge gpustat - ``` -
ArrayFire (πŸ₯ˆ28 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· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 950 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 840 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
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cuGraph (πŸ₯‰27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/rapidsai/cugraph @@ -7623,15 +7587,35 @@ _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 + +- [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): + ``` + pip install cupy + ``` +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 22.08.2023): + ``` + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 58K Β· ⭐ 11 Β· ⏱️ 15.08.2023): + ``` + docker pull cupy/cupy + ``` +
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· ⏱️ 11.08.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/NVIDIA/DALI ```
-
Merlin (πŸ₯‰23 Β· ⭐ 570) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
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): @@ -7650,14 +7634,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 110 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 100 / month Β· ⏱️ 13.04.2022): ``` pip install kp ```
-
cuSignal (πŸ₯‰19 Β· ⭐ 690) - GPU accelerated signal processing. Apache-2 +
cuSignal (πŸ₯‰19 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· ⏱️ 09.08.2023): +- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“‹ 160 - 16% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/rapidsai/cusignal @@ -7668,7 +7652,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - scikit-cuda (πŸ₯‰24 Β· ⭐ 940 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - GPUtil (πŸ₯‰23 Β· ⭐ 990 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - py3nvml (πŸ₯‰23 Β· ⭐ 220 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 -- BlazingSQL (πŸ₯‰21 Β· ⭐ 1.8K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 +- 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 @@ -7683,12 +7667,12 @@ _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 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.7M / month Β· πŸ“¦ 200 Β· ⏱️ 13.04.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.8M / month Β· πŸ“¦ 200 Β· ⏱️ 13.04.2023): ``` pip install tensorflow-datasets ``` @@ -7697,6 +7681,22 @@ _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 + +- [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/hub + ``` +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.1M / month Β· πŸ“¦ 330 Β· ⏱️ 13.07.2023): + ``` + 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 + ``` +
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. 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): @@ -7704,54 +7704,38 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 890K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 870K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): ``` pip install tensorflow-addons ```
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”€ 3.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): +- [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): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.3K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.1K / month): ``` pip install tensor2tensor ```
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 970) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 21% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.5K Β· πŸ“‹ 210 - 21% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 630K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 710K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
-
tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ“‰) - A library for transfer learning by reusing parts of.. Apache-2 +
TFX (πŸ₯ˆ31 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. 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): - - ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month): - ``` - pip install tensorflow-hub - ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 87K Β· ⏱️ 13.07.2023): - ``` - conda install -c conda-forge tensorflow-hub - ``` -
-
TFX (πŸ₯ˆ31 Β· ⭐ 2K Β· πŸ“ˆ) - 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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 910 - 10% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/tensorflow/tfx @@ -7763,7 +7747,7 @@ _Libraries that extend TensorFlow with additional capabilities._
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 - 55% 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 - 56% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/tensorflow/model-optimization @@ -7775,12 +7759,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow I/O (πŸ₯‰30 Β· ⭐ 660) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 42% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 42% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.7M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.5M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): ``` pip install tensorflow-io ``` @@ -7804,7 +7788,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 67K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7816,7 +7800,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 5.6K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): ``` pip install tensorflow-compression ``` @@ -7825,8 +7809,8 @@ _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

@@ -7837,14 +7821,14 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend Jax with additional capabilities._ -
equinox (πŸ₯‡29 Β· ⭐ 1.3K) - Elegant easy-to-use neural networks in JAX... Apache-2 +
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”€ 78 Β· πŸ“¦ 210 Β· πŸ“‹ 210 - 25% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 27K / month Β· πŸ“¦ 30 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 28K / month Β· πŸ“¦ 31 Β· ⏱️ 26.07.2023): ``` pip install equinox ``` @@ -7856,7 +7840,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2022): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2022): ``` pip install evojax ``` @@ -7867,7 +7851,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects... -- jaxdf (πŸ₯‰14 Β· ⭐ 95) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0 +- jaxdf (πŸ₯‰14 Β· ⭐ 97) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

@@ -7879,64 +7863,64 @@ _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“‹ 560 - 6% open Β· ⏱️ 09.08.2023): +- [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): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 3.6M / month Β· πŸ“¦ 320 Β· ⏱️ 08.07.2023): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 4.1M / month): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 450K Β· ⏱️ 08.07.2023): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 460K Β· ⏱️ 08.07.2023): ``` conda install -c conda-forge imbalanced-learn ```
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MLxtend (πŸ₯‡34 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’» 76 Β· πŸ”€ 160 Β· πŸ“¦ 7.5K Β· πŸ“‹ 210 - 24% open Β· ⏱️ 24.08.2023): ``` - git clone https://github.com/rasbt/mlxtend + git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 690K / 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“₯ 280K 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 ```
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scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
MLxtend (πŸ₯ˆ33 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“¦ 7.4K Β· πŸ“‹ 210 - 24% open Β· ⏱️ 17.08.2023): +- [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): ``` - 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“₯ 200K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 610K / 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 ```
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category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +
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”€ 390 Β· πŸ“¦ 980 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month Β· πŸ“¦ 150 Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 230K Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge category_encoders ``` @@ -7948,19 +7932,19 @@ _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“₯ 83K / month Β· πŸ“¦ 23 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 82K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
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scikit-lego (πŸ₯‰25 Β· ⭐ 1K) - Extra blocks for scikit-learn pipelines. MIT +
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): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 38K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): ``` pip install scikit-lego ``` @@ -7971,12 +7955,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-opt (πŸ₯‰24 Β· ⭐ 4.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 890 Β· πŸ“¦ 130 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 19.02.2023): +- [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“₯ 2.7K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7988,7 +7972,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 86K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 67K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ``` @@ -8011,12 +7995,12 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-contrib-lightning (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 -- iterative-stratification (πŸ₯‰22 Β· ⭐ 780 Β· πŸ’€) - scikit-learn cross validators for iterative.. 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 - 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₯‰15 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3 +- dabl (πŸ₯‰13 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3

@@ -8028,28 +8012,28 @@ _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 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 580 Β· πŸ“¦ 12K Β· πŸ“‹ 910 - 10% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 5M / month Β· πŸ“¦ 270 Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 5.2M / month Β· πŸ“¦ 290 Β· ⏱️ 23.08.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 55K Β· ⏱️ 15.07.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 57K 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 -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 850 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“¦ 860 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“₯ 250K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 240K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -8060,7 +8044,7 @@ _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“¦ 24 Β· πŸ“‹ 320 - 11% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/geohot/tinygrad @@ -8084,12 +8068,12 @@ _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”€ 850 Β· πŸ“¦ 2K Β· πŸ“‹ 200 - 29% open Β· ⏱️ 20.05.2023): +- [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): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.2M / month Β· πŸ“¦ 33 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.3M / month): ``` pip install torchdiffeq ``` @@ -8100,12 +8084,12 @@ _Libraries that extend Pytorch with additional capabilities._
pytorch-optimizer (πŸ₯ˆ29 Β· ⭐ 2.8K) - torch-optimizer -- collection of optimizers for.. Apache-2 -- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 270 Β· πŸ“¦ 970 Β· πŸ“‹ 60 - 50% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 270 Β· πŸ“¦ 980 Β· πŸ“‹ 60 - 50% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 82K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 84K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` @@ -8116,12 +8100,12 @@ _Libraries that extend Pytorch with additional capabilities._
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“¦ 1.2K Β· πŸ“‹ 66 - 27% open Β· ⏱️ 15.08.2023): +- [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): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.3M / month Β· πŸ“¦ 8 Β· ⏱️ 20.07.2021): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.3M / month): ``` pip install torchsde ``` @@ -8130,22 +8114,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchsde ```
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TabNet (πŸ₯ˆ27 Β· ⭐ 2.2K) - PyTorch implementation of TabNet paper :.. MIT - -- [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/dreamquark-ai/tabnet - ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 31K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): - ``` - pip install pytorch-tabnet - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.2K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pytorch-tabnet - ``` -
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 04.06.2023): @@ -8153,7 +8121,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 44K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 41K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): ``` pip install torch-scatter ``` @@ -8164,7 +8132,7 @@ _Libraries that extend Pytorch with additional capabilities._
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“₯ 38 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt @@ -8174,14 +8142,30 @@ _Libraries that extend Pytorch with additional capabilities._ pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯‰25 Β· ⭐ 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
TabNet (πŸ₯ˆ25 Β· ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT + +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 430 Β· πŸ“‹ 280 - 5% open Β· ⏱️ 23.07.2023): + + ``` + git clone https://github.com/dreamquark-ai/tabnet + ``` +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 35K / month): + ``` + pip install pytorch-tabnet + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.3K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pytorch-tabnet + ``` +
+
PyTorch Sparse (πŸ₯ˆ25 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“₯ 26K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): ``` pip install torch-sparse ``` @@ -8197,7 +8181,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.2K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.1K / month): ``` pip install reformer-pytorch ``` @@ -8209,19 +8193,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 680 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): ``` pip install tez ```
madgrad (πŸ₯‰16 Β· ⭐ 790) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 59 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 60 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8229,18 +8213,18 @@ _Libraries that extend Pytorch with additional capabilities._
Show 18 hidden projects... - pretrainedmodels (πŸ₯ˆ30 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- pytorch-summary (πŸ₯ˆ27 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT +- pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT - 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 -- EfficientNets (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. 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 +- 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 -- Performer Pytorch (πŸ₯‰19 Β· ⭐ 980 Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - micrograd (πŸ₯‰18 Β· ⭐ 6K 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 @@ -8265,63 +8249,63 @@ _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“¦ 76K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.7M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.9M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4.1M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sympy ```
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· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 61M / month Β· πŸ“¦ 63K Β· ⏱️ 28.06.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 62M / month Β· πŸ“¦ 63K Β· ⏱️ 17.08.2023): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 41M Β· ⏱️ 29.06.2023): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 41M Β· ⏱️ 20.08.2023): ``` conda install -c conda-forge scipy ```
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 - 14% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.3M / month Β· πŸ“¦ 140 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.4M / month Β· πŸ“¦ 140 Β· ⏱️ 23.08.2023): ``` 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’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 930 Β· πŸ“‹ 3.5K - 19% open Β· ⏱️ 16.08.2023): +- [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): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.3M / month Β· πŸ“¦ 960 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.4M / month): ``` pip install streamlit ```
Autograd (πŸ₯‡36 Β· ⭐ 6.4K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 870 Β· πŸ“¦ 5.9K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 870 Β· πŸ“¦ 6K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 02.08.2023): ``` git clone https://github.com/HIPS/autograd @@ -8337,12 +8321,12 @@ _Libraries for connecting to, operating, and querying databases._
DeepChem (πŸ₯‡36 Β· ⭐ 4.5K) - 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· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 11K / month Β· πŸ“¦ 8 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 11K / month Β· πŸ“¦ 9 Β· ⏱️ 23.08.2023): ``` pip install deepchem ``` @@ -8351,35 +8335,35 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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carla (πŸ₯‡33 Β· ⭐ 9.5K) - Open-source simulator for autonomous driving research. MIT +
Datasette (πŸ₯‡34 Β· ⭐ 8.1K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [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/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): ``` - git clone https://github.com/carla-simulator/carla + git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 28K / month Β· πŸ“¦ 190 Β· ⏱️ 22.08.2023): ``` - pip install carla + pip install datasette + ``` +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge datasette ```
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Datasette (πŸ₯‡33 Β· ⭐ 8.1K) - An open source multi-tool for exploring and publishing data. Apache-2 +
carla (πŸ₯ˆ33 Β· ⭐ 9.5K) - Open-source simulator for autonomous driving research. MIT -- [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· ⏱️ 11.08.2023): +- [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): ``` - git clone https://github.com/simonw/datasette - ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 29K / month Β· πŸ“¦ 190 Β· ⏱️ 09.08.2023): + git clone https://github.com/carla-simulator/carla ``` - pip install datasette +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge datasette + pip install carla ```
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PyOD (πŸ₯‡33 Β· ⭐ 7.3K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯ˆ33 Β· ⭐ 7.3K) - 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): @@ -8390,35 +8374,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 78K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 79K Β· ⏱️ 26.06.2023): ``` conda install -c conda-forge pyod ```
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hdbscan (πŸ₯‡33 Β· ⭐ 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3 +
hdbscan (πŸ₯ˆ33 Β· ⭐ 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 460 Β· πŸ“¦ 2.5K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 460 Β· πŸ“¦ 2.5K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 550K / month Β· πŸ“¦ 200 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 530K / month Β· πŸ“¦ 200 Β· ⏱️ 18.07.2023): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 03.08.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 24.08.2023): ``` conda install -c conda-forge hdbscan ```
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Pythran (πŸ₯‡33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 +
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· ⏱️ 13.08.2023): +- [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): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 160K / month Β· πŸ“¦ 22 Β· ⏱️ 02.05.2023): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 150K / month Β· πŸ“¦ 22 Β· ⏱️ 02.05.2023): ``` pip install pythran ``` @@ -8427,9 +8411,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pythran ```
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PennyLane (πŸ₯‡33 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
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· ⏱️ 16.08.2023): +- [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· ⏱️ 23.08.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane @@ -8445,7 +8429,7 @@ _Libraries for connecting to, operating, and querying databases._
PaddleHub (πŸ₯ˆ32 Β· ⭐ 12K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.1K Β· πŸ“₯ 660 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.3K - 45% open Β· ⏱️ 28.03.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.1K Β· πŸ“₯ 660 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 45% open Β· ⏱️ 28.03.2023): ``` git clone https://github.com/PaddlePaddle/PaddleHub @@ -8457,12 +8441,12 @@ _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”€ 480 Β· πŸ“¦ 340 Β· πŸ“‹ 450 - 4% open Β· ⏱️ 09.08.2023): +- [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): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 14K / month Β· πŸ“¦ 25 Β· ⏱️ 26.06.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 15K / month): ``` pip install river ``` @@ -8471,58 +8455,38 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge river ```
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agate (πŸ₯ˆ32 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT - -- [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/wireservice/agate - ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.6M / month Β· πŸ“¦ 140 Β· ⏱️ 04.01.2023): - ``` - pip install agate - ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge agate - ``` -
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pyopencl (πŸ₯ˆ32 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. MIT +
adapter-transformers (πŸ₯ˆ32 Β· ⭐ 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.6K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 14.08.2023): +- [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· ⏱️ 22.05.2023): ``` - git clone https://github.com/inducer/pyopencl - ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 200 Β· ⏱️ 15.08.2023): - ``` - pip install pyopencl + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 930K Β· ⏱️ 15.08.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` - conda install -c conda-forge pyopencl + pip install adapter-transformers ```
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adapter-transformers (πŸ₯ˆ31 Β· ⭐ 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface +
causalml (πŸ₯ˆ31 Β· ⭐ 4.2K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [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/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 670 Β· πŸ“¦ 160 Β· πŸ“‹ 360 - 28% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 280K / month Β· πŸ“¦ 1 Β· ⏱️ 10.07.2023): ``` - pip install adapter-transformers + pip install causalml ```
tensorly (πŸ₯ˆ31 Β· ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 270 Β· πŸ“¦ 460 Β· πŸ“‹ 240 - 23% open Β· ⏱️ 02.08.2023): +- [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): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 14K / month Β· πŸ“¦ 46 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 15K / month Β· πŸ“¦ 46 Β· ⏱️ 14.01.2023): ``` pip install tensorly ``` @@ -8531,44 +8495,36 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge tensorly ```
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datalad (πŸ₯ˆ31 Β· ⭐ 450) - Keep code, data, containers under control with git and git-annex. MIT +
agate (πŸ₯ˆ31 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 10.08.2023): +- [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): ``` - git clone https://github.com/datalad/datalad + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 13K / month Β· πŸ“¦ 61 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.7M / month): ``` - pip install datalad + pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 380K Β· ⏱️ 10.08.2023): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge datalad + conda install -c conda-forge agate ```
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causalml (πŸ₯ˆ30 Β· ⭐ 4.2K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
datalad (πŸ₯ˆ31 Β· ⭐ 450) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 670 Β· πŸ“¦ 160 Β· πŸ“‹ 340 - 30% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 10.08.2023): ``` - git clone https://github.com/uber/causalml - ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 280K / month Β· πŸ“¦ 1 Β· ⏱️ 10.07.2023): - ``` - pip install causalml + git clone https://github.com/datalad/datalad ``` -
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avalanche (πŸ₯ˆ30 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): - +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 12K / month Β· πŸ“¦ 62 Β· ⏱️ 10.08.2023): ``` - git clone https://github.com/ContinualAI/avalanche + pip install datalad ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 380K Β· ⏱️ 10.08.2023): ``` - pip install avalanche-lib + conda install -c conda-forge datalad ```
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT @@ -8587,6 +8543,18 @@ _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): @@ -8599,20 +8567,16 @@ _Libraries for connecting to, operating, and querying databases._ pip install alibi-detect ```
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TabPy (πŸ₯ˆ29 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
avalanche (πŸ₯ˆ29 Β· ⭐ 1.4K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 570 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 21.06.2023): +- [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): ``` - git clone https://github.com/tableau/TabPy - ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 8.7K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): - ``` - pip install tabpy + git clone https://github.com/ContinualAI/avalanche ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` - conda install -c anaconda tabpy-client + pip install avalanche-lib ```
kmodes (πŸ₯ˆ29 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT @@ -8622,7 +8586,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 190K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 180K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): ``` pip install kmodes ``` @@ -8631,19 +8595,7 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge kmodes ```
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pandas-ai (πŸ₯‰28 Β· ⭐ 8.2K Β· 🐣) - PandasAI is a Python library that integrates generative artificial.. MIT - -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 620 Β· πŸ“¦ 830 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/gventuri/pandas-ai - ``` -- [PyPi](https://pypi.org/project/pandas-ai): - ``` - pip install pandas-ai - ``` -
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pysc2 (πŸ₯‰28 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 +
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): @@ -8655,44 +8607,44 @@ _Libraries for connecting to, operating, and querying databases._ pip install pysc2 ```
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anomalib (πŸ₯‰27 Β· ⭐ 2.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
anomalib (πŸ₯ˆ28 Β· ⭐ 2.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 410 Β· πŸ“₯ 1.7K Β· πŸ“¦ 21 Β· πŸ“‹ 560 - 13% open Β· ⏱️ 17.08.2023): +- [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): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 7.4K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2023): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 8.6K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2023): ``` pip install anomalib ```
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PySwarms (πŸ₯‰27 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. MIT +
TabPy (πŸ₯ˆ28 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. 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/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 570 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 21.06.2023): ``` - git clone https://github.com/ljvmiranda921/pyswarms + git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.5K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` - pip install pyswarms + pip install tabpy + ``` +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.1K Β· ⏱️ 16.06.2023): + ``` + conda install -c anaconda tabpy-client ```
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Prince (πŸ₯‰27 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT +
PySwarms (πŸ₯‰27 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. 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): +- [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): ``` - git clone https://github.com/MaxHalford/prince - ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 51K / month Β· πŸ“¦ 9 Β· ⏱️ 08.08.2023): - ``` - pip install prince + git clone https://github.com/ljvmiranda921/pyswarms ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.5K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` - conda install -c conda-forge prince-factor-analysis + pip install pyswarms ```
Trax (πŸ₯‰26 Β· ⭐ 7.7K) - Trax Deep Learning with Clear Code and Speed. Apache-2 @@ -8702,26 +8654,14 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 6.1K / month Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.6K / month Β· ⏱️ 26.10.2021): ``` pip install trax ```
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Mars (πŸ₯‰26 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): - - ``` - git clone https://github.com/mars-project/mars - ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 89K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): - ``` - pip install pymars - ``` -
pycm (πŸ₯‰26 Β· ⭐ 1.4K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 230 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 240 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): ``` git clone https://github.com/sepandhaghighi/pycm @@ -8731,28 +8671,16 @@ _Libraries for connecting to, operating, and querying databases._ pip install pycm ```
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dstack (πŸ₯‰26 Β· ⭐ 770) - Cost-effective LLM development in any cloud (AWS, GCP, Azure, Lambda,.. MPL-2.0 +
Mars (πŸ₯‰25 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 11 Β· πŸ“‹ 360 - 6% open Β· ⏱️ 17.08.2023): - - ``` - git clone https://github.com/dstackai/dstack - ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.3K / month Β· ⏱️ 10.08.2023): - ``` - pip install dstack - ``` -
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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’» 31 Β· πŸ”€ 280 Β· πŸ“¦ 75 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 03.07.2023): ``` - git clone https://github.com/facebookresearch/AugLy + git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` - pip install augly + pip install pymars ```
Feature Engine (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 @@ -8773,52 +8701,92 @@ _Libraries for connecting to, operating, and querying databases._
gplearn (πŸ₯‰25 Β· ⭐ 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 420 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 430 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 4.7K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gplearn ```
+
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 + ``` +
+
dstack (πŸ₯‰25 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): + + ``` + git clone https://github.com/dstackai/dstack + ``` +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.4K / month Β· ⏱️ 22.08.2023): + ``` + pip install dstack + ``` +
+
AugLy (πŸ₯‰24 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT + +- [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): + + ``` + 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 + ``` +
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”€ 310 Β· πŸ“₯ 26 Β· πŸ“¦ 13 Β· πŸ“‹ 150 - 62% open Β· ⏱️ 01.06.2023): +- [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“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 23.08.2023): ``` pip install modAL ```
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’» 49 Β· πŸ”€ 160 Β· πŸ“₯ 60K Β· πŸ“‹ 450 - 18% open Β· ⏱️ 11.08.2023): +- [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): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 620 / month Β· ⏱️ 13.08.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 740 / month Β· ⏱️ 20.08.2023): ``` pip install monailabel-weekly ```
SUOD (πŸ₯‰24 Β· ⭐ 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 45 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 46 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 79K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 60K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): ``` pip install suod ``` @@ -8839,14 +8807,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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BioPandas (πŸ₯‰23 Β· ⭐ 630) - Working with molecular structures in pandas DataFrames. BSD-3 +
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“₯ 5.3K / month Β· πŸ“¦ 18 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.2K / month): ``` pip install biopandas ``` @@ -8855,28 +8823,28 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
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rrcf (πŸ₯‰21 Β· ⭐ 450) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 12.08.2023): +- [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/kLabUM/rrcf + git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3.9K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 520 / month Β· ⏱️ 07.09.2022): ``` - pip install rrcf + pip install pythae ```
-
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
rrcf (πŸ₯‰20 Β· ⭐ 450) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT -- [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): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 52 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 12.08.2023): ``` - git clone https://github.com/clementchadebec/benchmark_VAE + git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 490 / month Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` - pip install pythae + pip install rrcf ```
pykale (πŸ₯‰20 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT @@ -8886,19 +8854,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 79 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 75 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
NeuralCompression (πŸ₯‰17 Β· ⭐ 360) - 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· ⏱️ 17.08.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 37 Β· πŸ“‹ 69 - 10% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 78 / month Β· ⏱️ 12.01.2022): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 76 / month Β· ⏱️ 12.01.2022): ``` pip install neuralcompression ``` @@ -8910,20 +8878,21 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 74 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 72 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
-
Show 19 hidden projects... +
Show 20 hidden projects... - cleanlab (πŸ₯ˆ30 Β· ⭐ 6.4K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 -- Cython BLIS (πŸ₯ˆ30 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- pyclustering (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 +- pyopencl (πŸ₯ˆ30 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. ❗Unlicensed +- 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 - findspark (πŸ₯‰25 Β· ⭐ 490 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 -- metricflow (πŸ₯‰24 Β· ⭐ 940) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed +- 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 - mlens (πŸ₯‰22 Β· ⭐ 800 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - opyrator (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT @@ -8932,9 +8901,9 @@ _Libraries for connecting to, operating, and querying databases._ - 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 -- 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 -- traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT +- 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/2023-08-24_changes.md b/history/2023-08-24_changes.md new file mode 100644 index 00000000..eef255f2 --- /dev/null +++ b/history/2023-08-24_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._ + +- 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 + +## 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 + diff --git a/history/2023-08-24_projects.csv b/history/2023-08-24_projects.csv new file mode 100644 index 00000000..30aa3467 --- /dev/null +++ b/history/2023-08-24_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_latest_release_published_at,pypi_dependent_project_count,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,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,updated_github_id,brew_id,apt_id,yum_id,helm_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 18:32:44,1514.0,48.0,570,107.0,298.0,44.0,123.0,3970,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 13:09:27.000,2023-08-17 16:23:52.000000,2023-08-17 16:23:51,259.0,25.0,149,51.0,155.0,1.0,2.0,1989,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-08-17 16:23:56.000,2023.08.17,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-08-24 13:57:29.000000,2023-08-24 13:57:29,276.0,27.0,215,88.0,157.0,4.0,4.0,3117,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 19:11:32.000,2023-08-24 13:57:29.000000,2023-08-24 13:57:29,276.0,27.0,215,88.0,157.0,4.0,4.0,3117,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 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+6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-08-24 14:05:41.000000,2023-08-24 14:00:46,152837.0,4222.0,88846,7696.0,23290.0,2122.0,35889.0,179342,An Open Source Machine Learning Framework for Everyone.,4424.0,55,True,2023-07-05 19:49:02.000,2.12.1,181.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],315199.0,300097.0,https://pypi.org/project/tensorflow,2023-08-17 18:16:39.000,15102.0,16304479.0,17715507.0,https://anaconda.org/conda-forge/tensorflow,2023-07-21 23:54:54.123,4307405.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-08-24 12:48:54.272974,2195.0,73998747.0,1.0,,,,,,,,,,,,,,,,,,,, +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 09:43:38.000,2023-08-24 13:48:57.000000,2023-08-24 13:28:14,30305.0,317.0,24573,2150.0,15939.0,2240.0,8752.0,55483,scikit-learn: machine learning in Python.,2975.0,52,True,2023-06-30 08:07:27.000,1.3.0,71.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],615272.0,586146.0,https://pypi.org/project/scikit-learn,2023-06-30 07:56:57.845,29126.0,40911342.0,41525046.0,https://anaconda.org/conda-forge/scikit-learn,2023-06-30 12:52:16.828,23934078.0,,,,,1.0,892.0,,,,,,,,,,,,,,,,,,, +8,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-08-24 13:56:48.000000,2023-08-24 11:38:35,63311.0,2717.0,19178,1672.0,71706.0,12475.0,24247.0,70015,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4287.0,51,True,2023-05-08 19:55:19.000,2.0.1,45.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],10475.0,10.0,https://pypi.org/project/torch,2023-05-08 16:30:35.713,10465.0,10899328.0,11679431.0,https://anaconda.org/pytorch/pytorch,2023-06-16 19:17:28.406,17936147.0,,,,,1.0,22494.0,4.0,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-08-24 14:06:49.000000,2023-08-24 13:15:43,13792.0,800.0,20928,1054.0,12861.0,593.0,11956.0,110652,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2089.0,50,True,2023-08-22 13:11:09.000,4.32.0,100.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",94020.0,94020.0,https://pypi.org/project/transformers,,,15675344.0,15709789.0,https://anaconda.org/conda-forge/transformers,2023-08-23 04:20:34.550,1274382.0,,,,,1.0,142.0,,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2023-08-24 10:41:44.000000,2023-08-24 00:10:42,48182.0,748.0,6827,588.0,16883.0,1185.0,8501.0,17932,matplotlib: plotting with Python.,1546.0,48,True,2023-07-05 20:58:47.000,3.7.2,75.0,matplotlib,conda-forge/matplotlib,,,,924314.0,924314.0,https://pypi.org/project/matplotlib,,,37251147.0,37780636.0,https://anaconda.org/conda-forge/matplotlib,2023-08-18 18:51:57.826,20120588.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-08-24 13:48:07.000000,2023-08-24 13:09:06,55494.0,1152.0,3997,291.0,12586.0,4826.0,8468.0,11219,A computer algebra system written in pure Python.,1237.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,82453.0,77854.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4599.0,9936303.0,9987481.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4086035.0,,,,,1.0,509827.0,,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-08-24 14:35:33.000000,2023-08-24 11:23:14,30691.0,466.0,4896,347.0,9791.0,1684.0,7912.0,11618,"Ecosystem of open-source software for mathematics, science, and engineering.",1521.0,47,True,2023-08-17 23:02:23.000,1.11.2,96.0,scipy,conda-forge/scipy,,,,63328.0,10.0,https://pypi.org/project/scipy,2023-08-17 22:08:09.000,63318.0,61643647.0,62888700.0,https://anaconda.org/conda-forge/scipy,2023-08-20 07:05:06.617,40957779.0,,,,,1.0,379248.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-08-24 09:02:43.000000,2023-08-23 17:33:59,15151.0,267.0,1913,221.0,4357.0,82.0,2783.0,11067,Python Imaging Library (Fork).,446.0,47,True,2023-07-01 14:57:17.000,10.0.0,51.0,Pillow,conda-forge/pillow,,,,1309112.0,1309112.0,https://pypi.org/project/Pillow,,,62518048.0,63375085.0,https://anaconda.org/conda-forge/pillow,2023-07-02 00:52:56.834,31710374.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-08-24 09:45:02.000000,2023-08-22 05:30:30,8343.0,103.0,19399,1919.0,6533.0,377.0,11511.0,59066,Deep Learning for humans.,1201.0,45,True,2023-06-27 23:42:33.000,2.13.1,81.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],632.0,10.0,https://pypi.org/project/keras,2023-08-03 20:50:32.000,622.0,10917284.0,11001431.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3197589.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-08-24 14:25:33.000000,2023-08-24 06:15:08,18825.0,1314.0,4691,459.0,23469.0,3156.0,12149.0,27238,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,906.0,44,True,2023-08-15 16:40:29.000,ray-2.6.3,89.0,ray,conda-forge/ray-tune,,,,11416.0,11019.0,https://pypi.org/project/ray,2023-08-15 16:39:07.000,397.0,3079373.0,3084296.0,https://anaconda.org/conda-forge/ray-tune,2023-08-17 00:56:02.998,157529.0,,,,,1.0,86.0,,,,,,,,,,,,,,,,,,, +16,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-08-24 11:30:06.000000,2023-08-21 08:52:32,15983.0,62.0,4091,551.0,3846.0,76.0,5388.0,26923,Industrial-strength Natural Language Processing (NLP) in Python.,735.0,44,True,2023-08-08 14:45:58.000,3.6.1,100.0,spacy,conda-forge/spacy,,,,67710.0,67710.0,https://pypi.org/project/spacy,,,5815834.0,5899603.0,https://anaconda.org/conda-forge/spacy,2023-08-09 19:17:06.552,3183224.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +17,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-08-24 11:01:27.000000,2023-08-23 21:29:52,6523.0,161.0,8641,912.0,4618.0,372.0,4582.0,24509,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",622.0,44,True,2023-06-19 03:01:12.670,1.7.6,76.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,66452.0,64786.0,https://pypi.org/project/xgboost,2023-08-17 18:54:04.000,1666.0,9951803.0,10064951.0,https://anaconda.org/conda-forge/xgboost,2023-08-05 01:52:21.106,4184219.0,,,,,1.0,6942.0,,,,,,,,,,,,,,,,,,, +18,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-08-24 13:04:11.000000,2023-08-24 13:04:10,4558.0,496.0,3523,292.0,6173.0,1203.0,2081.0,15067,Open source platform for the machine learning lifecycle.,628.0,44,True,2023-08-15 07:11:16.000,2.6.0,80.0,mlflow,conda-forge/mlflow,,,,23472.0,22998.0,https://pypi.org/project/mlflow,2023-08-15 06:14:52.000,474.0,14074055.0,14112416.0,https://anaconda.org/conda-forge/mlflow,2023-08-15 08:47:37.291,1457732.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +19,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-08-18 15:36:10.000000,2023-08-10 17:52:58,15098.0,42.0,2754,277.0,3800.0,2653.0,2693.0,8792,Statsmodels: statistical modeling and econometrics in Python.,416.0,44,True,2023-05-05 11:36:02.375,0.14.0,35.0,statsmodels,conda-forge/statsmodels,,,,105829.0,100607.0,https://pypi.org/project/statsmodels,2023-05-05 11:36:02.375,5222.0,11270280.0,11398688.0,https://anaconda.org/conda-forge/statsmodels,2023-06-16 13:16:44.091,11043169.0,,,,,1.0,29.0,,,,,,,,,,,,,,,,,,, +20,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-08-24 14:10:16.000000,2023-08-24 13:03:10,17161.0,941.0,2204,313.0,10731.0,1197.0,3228.0,24391,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",564.0,43,True,2023-07-27 23:20:52.000,jax-v0.4.14,79.0,jax,conda-forge/jaxlib,,,,16711.0,16711.0,https://pypi.org/project/jax,,,2808764.0,2832133.0,https://anaconda.org/conda-forge/jaxlib,2023-07-30 18:45:00.131,888043.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +21,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-08-24 06:17:12.000000,2023-08-23 16:21:46,3324.0,53.0,3641,441.0,2965.0,286.0,2797.0,15394,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",287.0,43,True,2023-07-13 18:43:08.000,4.0.0,28.0,lightgbm,conda-forge/lightgbm,,,,24486.0,24486.0,https://pypi.org/project/lightgbm,,,6259588.0,6317677.0,https://anaconda.org/conda-forge/lightgbm,2023-07-14 13:55:17.383,1941801.0,,,,,1.0,198327.0,,,,,,,,,,,,,,,,,,, +22,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-08-24 13:45:53.000000,2023-08-24 13:45:53,5637.0,129.0,1604,192.0,4750.0,640.0,1201.0,6338,TensorFlows Visualization Toolkit.,305.0,43,True,2023-08-08 22:35:21.000,2.14.0,53.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],186932.0,184180.0,https://pypi.org/project/tensorboard,2023-08-08 22:35:21.000,2752.0,19746703.0,19857710.0,https://anaconda.org/conda-forge/tensorboard,2023-08-09 15:42:17.420,4218293.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +23,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-08-24 14:43:22.000000,2023-08-24 10:12:27,5567.0,429.0,1442,130.0,2311.0,401.0,2241.0,21233,"Wrap UIs around any model, share with anyone.",193.0,42,True,2023-08-23 23:33:20.000,3.41.0,482.0,gradio,,,,,12196.0,12054.0,https://pypi.org/project/gradio,2023-08-23 23:33:01.000,142.0,4350142.0,4350142.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-08-24 14:10:20.000000,2023-08-24 12:05:43,43216.0,1291.0,5107,727.0,39291.0,1086.0,16089.0,20760,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1090.0,42,True,2023-07-25 11:09:59.000,2.5.0,60.0,paddlepaddle,,,,['paddle'],277.0,277.0,https://pypi.org/project/paddlepaddle,,,174759.0,174941.0,,,,,,,,2.0,15357.0,,,,,,,,,,,,,,,,,,, +25,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-08-23 15:08:56.000000,2023-08-23 15:08:52,20195.0,82.0,4021,445.0,5793.0,732.0,6648.0,17873,"Interactive Data Visualization in the browser, from Python.",668.0,42,True,,,53.0,bokeh,conda-forge/bokeh,,,,74629.0,74629.0,https://pypi.org/project/bokeh,,,4653615.0,4978487.0,https://anaconda.org/conda-forge/bokeh,2023-08-14 08:47:36.698,12345173.0,,,,,1.0,,-3.0,,,,,,,,,,,,,,,,,, +26,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-08-24 00:04:53.000000,2023-08-23 23:35:28,2483.0,119.0,3567,433.0,2895.0,369.0,2150.0,15373,Open standard for machine learning interoperability.,292.0,42,True,2023-05-05 16:35:02.000,1.14.0,29.0,onnx,conda-forge/onnx,,,,18440.0,17874.0,https://pypi.org/project/onnx,2023-05-04 23:16:04.549,566.0,2693215.0,2714821.0,https://anaconda.org/conda-forge/onnx,2023-07-12 10:54:40.179,810679.0,,,,,1.0,19167.0,,,,,,,,,,,,,,,,,,, +27,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-08-24 14:14:53.000000,2023-08-24 08:01:58,3636.0,125.0,6768,397.0,4937.0,931.0,2186.0,14450,"Datasets, Transforms and Models specific to Computer Vision.",547.0,42,True,2023-05-08 20:12:27.000,0.15.2,37.0,torchvision,conda-forge/torchvision,,,['pytorch'],4515.0,10.0,https://pypi.org/project/torchvision,2023-05-08 17:33:10.987,4505.0,6793972.0,6822232.0,https://anaconda.org/conda-forge/torchvision,2023-06-22 22:01:34.204,808399.0,,,,,1.0,29275.0,4.0,,,,,,,,,,,,,,,,,, +28,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,,2010-09-06 00:53:44.000,2023-08-24 06:55:53.000000,2023-08-24 06:55:53,7366.0,69.0,2876,279.0,3378.0,200.0,2831.0,13098,Network Analysis in Python.,663.0,42,False,2023-04-04 20:05:38.000,networkx-3.1,52.0,networkx,conda-forge/networkx,,,,179974.0,179974.0,https://pypi.org/project/networkx,,,26743406.0,26900661.0,https://anaconda.org/conda-forge/networkx,2023-06-16 13:18:51.990,12894979.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,,, +29,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 02:45:47,14445.0,1.0,2767,468.0,1427.0,258.0,1483.0,12256,Suite of libraries and programs for symbolic and statistical natural language processing for English.,441.0,42,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,227268.0,214754.0,https://pypi.org/project/nltk,2023-01-02 22:02:43.849,12514.0,11482535.0,11508245.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2159678.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +30,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-08-24 13:59:02.000000,2023-08-23 13:25:49,4497.0,51.0,2022,1702.0,4314.0,233.0,2519.0,11127,WebGL2 powered visualization framework.,234.0,42,True,2023-08-18 07:08:26.219,8.9.25,608.0,pydeck,conda-forge/pydeck,,,['jupyter'],6905.0,6401.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,38.0,1407374.0,1866506.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,427734.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-08-18 07:08:26.219,466.0,448948.0,,,,,,,,,,,,, +31,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-08-24 01:09:06.000000,2023-08-24 01:09:05,3161.0,14.0,1693,256.0,1020.0,124.0,2237.0,11022,Statistical data visualization in Python.,198.0,42,True,2022-12-30 19:12:05.000,0.12.2,33.0,seaborn,conda-forge/seaborn,,,,293669.0,293669.0,https://pypi.org/project/seaborn,,,9877165.0,9963819.0,https://anaconda.org/conda-forge/seaborn,2023-06-16 13:21:42.625,7278837.0,,,,,1.0,260.0,,,,,,,,,,,,,,,,,,, +32,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-08-22 14:15:36.000000,2023-08-22 11:04:02,3547.0,46.0,700,150.0,1249.0,178.0,1651.0,8435,Declarative statistical visualization library for Python.,157.0,42,True,2023-05-26 21:55:53.000,5.0.1,23.0,altair,conda-forge/altair,,,,69338.0,69338.0,https://pypi.org/project/altair,,,14211494.0,14309918.0,https://anaconda.org/conda-forge/altair,2023-07-12 14:27:15.237,1968481.0,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,, +33,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-08-21 18:06:34.000000,2023-08-21 18:02:12,13668.0,109.0,2086,187.0,4217.0,513.0,1986.0,5551,Image processing in Python.,625.0,42,False,2023-06-02 05:03:22.000,0.21.0,22.0,scikit-image,conda-forge/scikit-image,,,,151544.0,151544.0,https://pypi.org/project/scikit-image,,,8118776.0,8262500.0,https://anaconda.org/conda-forge/scikit-image,2023-07-08 14:10:33.891,5461514.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +34,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-08-24 11:51:44.000000,2023-08-24 00:12:18,1753.0,212.0,3358,301.0,2047.0,864.0,1264.0,27880,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",231.0,41,True,2023-08-18 22:29:18.000,0.10.1,69.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],3450.0,3388.0,https://pypi.org/project/deepspeed,2023-08-18 22:27:52.000,62.0,520105.0,520501.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,3.0,17042.0,1.0,,,,,,,,,,,,,,,,,,,, +35,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-08-23 14:23:34.000000,2023-08-23 14:23:26,2486.0,135.0,2970,258.0,666.0,1436.0,851.0,19960,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,,,,13278.0,12877.0,https://pypi.org/project/shap,2023-07-15 11:31:17.694,401.0,7000428.0,7064515.0,https://anaconda.org/conda-forge/shap,2023-07-26 09:30:41.606,2050814.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,,, +36,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-08-24 10:44:27.000000,2023-08-22 08:27:29,32446.0,466.0,4418,346.0,6089.0,122.0,6642.0,16902,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",591.0,41,True,2023-08-23 16:41:56.000,3.6.6,345.0,rasa,,,,['tensorflow'],3681.0,3615.0,https://pypi.org/project/rasa,2023-08-23 16:41:44.000,66.0,104375.0,104375.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +37,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-08-24 13:43:13.000000,2023-08-24 13:43:08,4502.0,33.0,4376,434.0,1675.0,395.0,1440.0,14584,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,52430.0,49334.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3096.0,3775705.0,3814397.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1120713.0,,,,,1.0,4450.0,,,,,,,,,,,,,,,,,,, +38,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-08-24 13:58:39.000000,2023-08-24 07:16:43,8945.0,201.0,1077,135.0,5125.0,568.0,3870.0,11895,Data Version Control | Git for Data & Models | ML Experiments Management.,285.0,41,True,2023-08-22 23:08:42.000,3.16.0,467.0,dvc,conda-forge/dvc,,,,9168.0,9100.0,https://pypi.org/project/dvc,2023-08-22 23:09:40.000,68.0,748149.0,795300.0,https://anaconda.org/conda-forge/dvc,2023-08-23 01:15:21.107,1671463.0,,,,,1.0,37995.0,,,,,,,,dvc,dvc,dvc,,,,,,,,, +39,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-08-24 14:18:04.000000,2023-08-18 20:23:41,7841.0,69.0,1643,214.0,5415.0,941.0,4017.0,11320,Parallel computing with task scheduling.,584.0,41,True,,,153.0,dask,conda-forge/dask,,,,51995.0,51995.0,https://pypi.org/project/dask,,,9392494.0,9644951.0,https://anaconda.org/conda-forge/dask,2023-08-18 22:28:14.439,9845835.0,,,,,1.0,,,,,,,,,,,,stable/dask,,,,,,,, +40,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-08-24 14:32:53.000000,2023-08-24 14:32:51,5725.0,355.0,534,54.0,3480.0,693.0,1986.0,7123,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,154.0,41,True,2023-08-01 21:13:51.000,0.15.8,259.0,wandb,conda-forge/wandb,,,,28669.0,28170.0,https://pypi.org/project/wandb,2023-08-01 21:11:58.000,499.0,5602959.0,5611983.0,https://anaconda.org/conda-forge/wandb,2023-08-03 02:01:41.391,333900.0,,,,,1.0,,,,,,,,wandb/wandb,,,,,,,,,,,, +41,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,,8561,1049.0,1448.0,68.0,1714.0,32596,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,,,,47590.0,44931.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2659.0,365537.0,371640.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,244155.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-08-24 06:52:23.000000,2023-08-23 18:17:38,5695.0,162.0,2312,298.0,3606.0,655.0,2868.0,26704,Streamlit A faster way to build and share data apps.,195.0,40,True,2023-07-20 22:07:55.000,1.25.0,62.0,streamlit,,,,,938.0,938.0,https://pypi.org/project/streamlit,,,2389074.0,2389074.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +43,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-08-23 20:28:02.000000,2023-08-22 19:41:18,6992.0,147.0,1921,415.0,983.0,763.0,829.0,19207,Data Apps & Dashboards for Python. No JavaScript Required.,140.0,40,True,2023-08-16 18:05:53.000,2.12.1,170.0,dash,conda-forge/dash,,,,51930.0,50554.0,https://pypi.org/project/dash,2023-08-16 18:04:33.000,1376.0,1982777.0,2010811.0,https://anaconda.org/conda-forge/dash,2023-08-17 04:22:03.341,1065319.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +44,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-08-24 14:01:53.000000,2023-08-24 13:49:49,8427.0,100.0,2106,204.0,4084.0,13.0,1879.0,19008,"Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus,..",171.0,40,True,2023-08-10 15:51:36.000,3.20.1,100.0,jina,conda-forge/jina-core,jinaai/jina,,,903.0,903.0,https://pypi.org/project/jina,,,229620.0,261854.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,53637.0,https://hub.docker.com/r/jinaai/jina,2023-08-10 16:05:47.069847,8.0,1255885.0,2.0,,,,,,,,,,,,,,,,,,,, +45,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-08-15 20:50:21.000000,2023-08-06 13:33:09,8218.0,19.0,2789,479.0,669.0,45.0,2099.0,12189,A toolkit for making real world machine learning and data analysis applications in C++.,189.0,40,False,2023-05-14 13:10:44.000,19.24.2,26.0,dlib,conda-forge/dlib,,,,21651.0,21651.0,https://pypi.org/project/dlib,,,119653.0,127283.0,https://anaconda.org/conda-forge/dlib,2023-06-05 15:05:40.278,611889.0,,,,,2.0,25288.0,,,,,,,,,,,,,,,,,,, +46,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-08-24 14:46:14.000000,2023-08-24 13:58:18,1208.0,253.0,847,153.0,1334.0,316.0,453.0,7931,Development repository for the Triton language and compiler.,155.0,40,True,2023-03-03 02:41:05.821,2.0.0,190.0,triton,,,,,6436.0,6387.0,https://pypi.org/project/triton,2023-03-17 16:48:01.607,49.0,4195572.0,4195572.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +47,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-08-22 05:26:03.000000,2023-08-22 05:26:03,2691.0,24.0,7222,612.0,2189.0,159.0,1579.0,24400,The fastai deep learning library.,240.0,39,True,2023-03-28 20:28:42.000,2.7.12,49.0,fastai,,,,['pytorch'],14472.0,14472.0,https://pypi.org/project/fastai,,,315647.0,315647.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +48,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-08-24 02:40:13.280361,2023-08-24 01:46:24,17815.0,648.0,2451,342.0,16587.0,674.0,8066.0,22430,"A cloud-native vector database, storage for next generation AI applications.",252.0,39,True,2023-08-23 15:38:04.000,2.3.0,100.0,pymilvus,,milvusdb/milvus,,,32.0,,https://pypi.org/project/pymilvus,2023-08-23 14:17:56.000,32.0,456642.0,555348.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-08-24 02:40:13.280361,32.0,4443011.0,1.0,37569.0,,,,,,,,,,,,,,,,,,, +49,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 12:28:14,6172.0,213.0,2335,280.0,1542.0,1343.0,1346.0,13999,The interactive graphing library for Python This project now includes Plotly Express!.,244.0,39,True,2023-08-16 18:25:11.000,5.16.1,95.0,plotly,conda-forge/plotly,,,,10.0,10.0,https://pypi.org/project/plotly,,,11553776.0,11711236.0,https://anaconda.org/conda-forge/plotly,2023-08-16 21:22:51.337,4664352.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,,,37862.0,,,,,,,,,,,,, +50,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 12:05:02,1039.0,101.0,1963,227.0,449.0,171.0,984.0,10089,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,,,,26688.0,26429.0,https://pypi.org/project/yfinance,2023-08-13 12:07:59.000,259.0,1041465.0,1044638.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,79349.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-08-24 08:47:23.000000,2023-08-17 06:32:22,16391.0,418.0,852,123.0,3190.0,128.0,1379.0,8532,A hyperparameter optimization framework.,236.0,39,False,2023-08-07 07:14:37.000,3.3.0,60.0,optuna,conda-forge/optuna,,,,9676.0,9284.0,https://pypi.org/project/optuna,2023-08-07 07:14:37.000,392.0,1735075.0,1747904.0,https://anaconda.org/conda-forge/optuna,2023-08-07 10:47:33.490,487525.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +52,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-08-24 11:22:41.000000,2023-08-24 11:22:41,9615.0,97.0,1800,229.0,3680.0,207.0,2894.0,7736,Bayesian Modeling in Python.,462.0,39,True,2023-08-09 08:31:31.000,5.7.2,67.0,pymc3,conda-forge/pymc3,,,,2131.0,1883.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,248.0,417155.0,423680.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,533592.0,,,,,1.0,1923.0,,,,,,,,,,,,,,,,,,, +53,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-08-24 14:21:38.000000,2023-08-23 23:52:28,3834.0,236.0,1123,105.0,2923.0,649.0,1240.0,6754,A unified framework for machine learning with time series.,280.0,39,True,2023-08-18 16:45:13.000,0.22.0,52.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1611.0,1567.0,https://pypi.org/project/sktime,2023-08-18 16:45:13.000,44.0,760247.0,792802.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-08-21 09:01:06.403,813865.0,,,,,1.0,84.0,,,,,,,sktime/sktime,,,,,,,,,,,, +54,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-08-24 13:05:19.000000,2023-08-21 17:34:56,1783.0,30.0,846,107.0,1420.0,429.0,1133.0,3813,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'],26640.0,25039.0,https://pypi.org/project/geopandas,2023-06-06 14:56:58.336,1601.0,5355962.0,5390727.0,https://anaconda.org/conda-forge/geopandas,2023-06-06 13:24:28.136,3091895.0,,,,,1.0,2156.0,,,,,,,,,,,,,,,,,,, +55,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-08-24 14:07:17.000000,2023-08-24 10:18:43,37859.0,1026.0,26076,2042.0,42631.0,,,36531,Apache Spark Python API.,2930.0,38,True,,,32.0,pyspark,conda-forge/pyspark,,,['spark'],,,https://pypi.org/project/pyspark,,,25260358.0,25333036.0,https://anaconda.org/conda-forge/pyspark,2023-06-27 13:31:45.123,2761784.0,,,,,2.0,,,,,,,,,,,,stable/spark,,,,,,,, +56,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-08-24 09:33:03.000000,2023-08-24 03:55:07,6088.0,61.0,6610,411.0,2695.0,746.0,7180.0,32705,"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'],1713.0,1686.0,https://pypi.org/project/paddleocr,2023-08-10 09:02:06.000,27.0,65864.0,65864.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,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 05:51:12.000,2023-08-24 06:28:05.000000,2023-08-24 05:51:56,1986.0,84.0,4245,300.0,373.0,62.0,717.0,26475,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",108.0,38,True,2023-08-03 23:55:13.000,0.9.5,48.0,timm,conda-forge/timm,,,['pytorch'],288.0,10.0,https://pypi.org/project/timm,2023-08-03 23:52:58.000,278.0,3748919.0,3854226.0,https://anaconda.org/conda-forge/timm,2023-08-04 20:58:37.045,88319.0,,,,,1.0,5248965.0,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,,, +58,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 00:45:57.000,2023-08-24 14:05:40.000000,2023-08-24 13:35:46,9607.0,334.0,2916,236.0,9305.0,648.0,5735.0,24422,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",898.0,38,True,2023-08-16 07:30:01.000,2.0.7,100.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],,,https://pypi.org/project/pytorch-lightning,,,4243847.0,4268374.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-08-16 09:12:41.182,916223.0,,,,,2.0,12917.0,,,,,,,,,,,,,,,,,,, +59,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-08-23 14:17:56.000000,2023-08-19 17:26:36,871.0,46.0,3089,463.0,785.0,343.0,1829.0,24065,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,,,,2501.0,2469.0,https://pypi.org/project/pymilvus,2023-08-23 14:17:56.000,32.0,456642.0,478584.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,855755.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-08-21 15:44:06.000000,2023-01-26 21:28:45,11896.0,,6880,1081.0,11118.0,1799.0,7763.0,20519,"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'],6953.0,6658.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,290.0,431787.0,432237.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10064.0,,,,,2.0,26345.0,,,,,,,apache/mxnet,,,,,5.0,,,,,,, +61,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-08-24 09:41:43.000000,2023-08-24 09:34:13,3337.0,281.0,2790,170.0,3870.0,299.0,2027.0,12117,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",273.0,38,True,2023-08-15 07:31:40.000,1.1.2,33.0,dgl,,,,,137.0,137.0,https://pypi.org/project/dgl,,,118005.0,118005.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +62,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511,547.0,4118.0,685.0,2087.0,9770,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17028.0,14190.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,408027.0,435725.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2354392.0,,,,,2.0,,3.0,,,,,,,,,,,,,,,,,, +63,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-08-24 05:47:40.000000,2023-08-24 05:24:23,2518.0,76.0,838,124.0,1598.0,227.0,572.0,8512,Computer Vision and Robotics Library for AI.,223.0,38,True,2023-08-02 09:57:58.000,0.7.0,36.0,kornia,conda-forge/kornia,,,['pytorch'],5849.0,5849.0,https://pypi.org/project/kornia,,,2365732.0,2368718.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,95137.0,,,,,1.0,797.0,,,,,,,,,,,,,,,,,,, +64,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-08-23 22:55:35.000000,2023-08-23 02:51:39,19170.0,1064.0,1978,180.0,3087.0,214.0,2010.0,6909,End-to-End Speech Processing Toolkit.,365.0,38,True,2023-08-03 13:36:23.000,.202308,50.0,espnet,,,,,225.0,220.0,https://pypi.org/project/espnet,2023-08-03 13:37:00.000,5.0,28945.0,28946.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +65,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-08-24 13:16:48.000000,2023-08-18 22:46:26,9127.0,690.0,1107,126.0,966.0,168.0,813.0,6458,A PyTorch-based Speech Toolkit.,219.0,38,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],913.0,899.0,https://pypi.org/project/speechbrain,2023-07-22 18:08:45.000,14.0,197998.0,197998.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-08-15 08:38:49.000000,2023-08-15 08:38:44,1690.0,16.0,2195,168.0,766.0,55.0,968.0,6367,Python Data. Leaflet.js Maps.,152.0,38,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,28788.0,28013.0,https://pypi.org/project/folium,2022-12-12 20:39:34.303,775.0,641992.0,667271.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2249843.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-08-24 14:28:00.000000,2023-08-24 14:27:59,1048.0,194.0,592,93.0,960.0,91.0,825.0,5547,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",171.0,38,True,2023-08-23 06:26:33.000,0.22.0,34.0,accelerate,conda-forge/accelerate,,,['pytorch'],12494.0,12204.0,https://pypi.org/project/accelerate,2023-08-23 06:25:15.000,290.0,5181880.0,5184479.0,https://anaconda.org/conda-forge/accelerate,2023-08-23 14:08:26.871,57179.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +68,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 03:31:13.000,2023-08-24 13:40:01.000000,2023-08-24 06:04:23,17537.0,115.0,1217,85.0,7368.0,531.0,4054.0,2326,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,,,,3192.0,2922.0,https://pypi.org/project/mne,2023-08-15 17:55:48.000,270.0,81483.0,89672.0,https://anaconda.org/conda-forge/mne,2023-08-15 19:52:43.445,319373.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +69,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 01:03:33.000,2023-08-23 22:57:06.000000,2023-08-23 14:45:30,3224.0,138.0,1037,135.0,2608.0,480.0,835.0,1911,A library for training and deploying machine learning models on Amazon SageMaker.,386.0,38,True,2023-08-21 21:23:48.000,2.179.0,531.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",2997.0,2917.0,https://pypi.org/project/sagemaker,2023-08-21 21:23:48.000,80.0,32291515.0,32310210.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-08-22 00:20:25.314,673052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +70,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-08-24 13:25:42.000000,2023-08-24 13:25:42,5462.0,149.0,679,57.0,4662.0,1142.0,2230.0,1486,A distributed task scheduler for Dask.,316.0,38,True,,,174.0,distributed,conda-forge/distributed,,,,30160.0,30160.0,https://pypi.org/project/distributed,,,6549168.0,6851199.0,https://anaconda.org/conda-forge/distributed,2023-08-18 21:49:20.600,11779215.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +71,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-08-23 17:10:27.000000,2023-08-12 13:53:29,1496.0,15.0,260,32.0,462.0,88.0,477.0,1301,Python library for reading and writing image data.,105.0,38,True,2023-06-12 03:02:52.000,2.31.1,56.0,imageio,conda-forge/imageio,,,,99135.0,99135.0,https://pypi.org/project/imageio,,,15267522.0,15336524.0,https://anaconda.org/conda-forge/imageio,2023-06-12 06:54:47.545,5450119.0,,,,,1.0,819.0,,,,,,,,,,,,,,,,,,, +72,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,,6699,1287.0,164.0,662.0,219.0,31119,Chinese Words Segementation Utilities.,49.0,37,False,2020-01-20 14:23:50.000,0.42.1,9.0,jieba,conda-forge/jieba,,,,23638.0,23638.0,https://pypi.org/project/jieba,,,550885.0,552780.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,144041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-08-23 09:48:48.000000,2023-08-18 15:10:40,2313.0,10.0,5781,414.0,1297.0,976.0,3011.0,27251,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],1891.0,1891.0,https://pypi.org/project/fairseq,,,283109.0,284358.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,46064.0,,,,,1.0,317.0,,,,,,,,,,,,,,,,,,, +74,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-07-28 17:48:29.000000,2023-06-26 06:46:56,1325.0,5.0,2205,334.0,1562.0,359.0,1842.0,13518,"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,,,,,1008.0,977.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,31.0,79062.0,79062.0,,,,,,,,2.0,,,,,,,,,,,,stable/horovod,,,,,,,, +75,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-08-22 12:18:41.000000,2023-08-16 18:54:36,5608.0,69.0,1692,205.0,1138.0,44.0,2121.0,13032,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'],2673.0,2673.0,https://pypi.org/project/flair,,,87734.0,88285.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,20403.0,,,,,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 23:47:55.000,2023-08-23 19:58:43.000000,2023-08-21 11:12:40,1330.0,33.0,1532,151.0,700.0,174.0,531.0,11038,1 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']",1374.0,1186.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,188.0,938840.0,943497.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,391206.0,,,,,2.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,, +77,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-08-19 08:01:05.000000,2023-08-07 13:29:00,4918.0,91.0,1639,127.0,930.0,294.0,1848.0,7618,"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,,,,4241.0,4227.0,https://pypi.org/project/pycaret,2022-06-06 15:35:50.000,14.0,230952.0,232000.0,https://anaconda.org/conda-forge/pycaret,2023-08-08 20:36:32.365,37144.0,,,,,2.0,657.0,,,,,,,,,,,,,,,,,,, +78,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 08:39:17,844.0,39.0,1182,143.0,484.0,23.0,529.0,6462,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'],19469.0,19469.0,https://pypi.org/project/imbalanced-learn,,,4144313.0,4156320.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,456277.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-08-23 23:10:02.000000,2023-08-23 17:08:10,3759.0,156.0,505,79.0,1914.0,100.0,626.0,4634,Flax is a neural network library for JAX that is designed for flexibility.,201.0,37,True,2023-08-09 01:43:16.000,0.7.2,33.0,flax,conda-forge/flax,,,['jax'],4079.0,4079.0,https://pypi.org/project/flax,,,1538684.0,1539805.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,32495.0,,,,,2.0,49.0,,,,,,,,,,,,,,,,,,, +80,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-08-23 16:56:17.000000,2023-08-23 16:56:15,11946.0,46.0,1077,170.0,451.0,647.0,726.0,3962,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'],418.0,,https://pypi.org/project/tensorflow-probability,2023-08-04 18:00:53.000,418.0,1245910.0,1249598.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-07-23 10:45:53.935,110659.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +81,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-08-18 22:35:02.000000,2023-08-15 03:05:03,3770.0,22.0,522,148.0,1091.0,141.0,1571.0,2003,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,,,,9525.0,8567.0,https://pypi.org/project/rasterio,2023-06-28 16:47:03.167,958.0,1688209.0,1769818.0,https://anaconda.org/conda-forge/rasterio,2023-06-29 11:08:32.699,2529638.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,, +82,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-08-22 08:27:14.000000,2023-08-22 08:27:14,2276.0,30.0,4628,486.0,147.0,953.0,1326.0,17509,State-of-the-art 2D and 3D Face Analysis Project.,57.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],710.0,699.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,11.0,292186.0,378564.0,,,,,,,,1.0,345515.0,4.0,,,,,,,,,,,,,,,,,, +83,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-08-21 22:27:06.000000,2023-08-21 22:27:06,776.0,12.0,4421,425.0,426.0,367.0,1677.0,16267,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,169.0,36,True,2023-05-29 15:12:28.000,1.1.4,15.0,fbprophet,conda-forge/prophet,,,,137.0,10.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,127.0,1005097.0,1040759.0,https://anaconda.org/conda-forge/prophet,2023-06-15 14:12:13.774,997866.0,,,,,1.0,1906.0,,,,,,,,,,,,,,,,,,, +84,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-08-21 03:59:31.000000,2023-08-21 03:59:26,1627.0,9.0,2759,381.0,453.0,3.0,1765.0,13815,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,3.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3404.0,3404.0,https://pypi.org/project/pyecharts,,,106988.0,106988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +85,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-08-24 14:50:24.000000,2023-08-24 14:38:37,15696.0,2339.0,5184,69.0,9560.0,4225.0,8990.0,12756,The Unified AI Framework.,1264.0,36,True,2023-08-21 10:13:58.000,0.0.2.0,20.0,ivy-core,,,,,86.0,80.0,https://pypi.org/project/ivy-core,2022-06-01 09:22:21.000,6.0,38.0,38.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +86,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 17:38:53,890.0,11.0,1110,319.0,266.0,54.0,339.0,11798,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,36,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3374.0,3112.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,262.0,972973.0,977248.0,https://anaconda.org/conda-forge/python-annoy,2023-06-16 13:18:50.070,354826.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +87,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-08-23 04:56:16.000000,2023-07-11 16:23:35,1095.0,2.0,1397,252.0,648.0,356.0,1013.0,10797,Video editing with Python.,160.0,36,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,28746.0,27827.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,919.0,667922.0,670652.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,199298.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +88,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-08-24 10:32:48.000000,2023-08-23 15:03:37,2486.0,217.0,1310,114.0,2583.0,366.0,2058.0,10458,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",188.0,36,True,2023-07-26 16:22:23.000,1.19.0,60.0,haystack,,,,,849.0,849.0,https://pypi.org/project/haystack,,,2432.0,2432.0,,,,,,,,1.0,23.0,,,,,,,,,,,,,,,,,,, +89,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-08-24 13:09:09.000000,2023-08-24 12:35:52,23763.0,2035.0,1935,205.0,4596.0,167.0,3301.0,8904,Perform data science on data that remains in someone elses server.,500.0,36,True,2023-06-23 11:01:18.384,0.8.1,180.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-08-24 07:57:43.000,5.0,4862.0,4862.0,,,,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,, +90,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,,1119,269.0,156.0,113.0,155.0,8658,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,36,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,33458.0,32037.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1421.0,631179.0,633914.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,229813.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,, +91,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-08-23 14:29:17.000000,2023-08-23 14:29:16,1696.0,29.0,608,118.0,516.0,242.0,565.0,7482,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,,,,38770.0,38770.0,https://pypi.org/project/tokenizers,,,11523241.0,11556029.0,https://anaconda.org/conda-forge/tokenizers,2023-06-16 19:20:53.569,1213165.0,,,,,1.0,31.0,,,,,,,,,,,,,,,,,,, +92,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-08-24 11:36:58.000000,2023-08-24 11:36:56,46368.0,404.0,1092,195.0,362.0,501.0,1608.0,7318,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1163.0,36,True,2023-05-01 23:11:47.000,1.2,82.0,catboost,conda-forge/catboost,,,,9.0,9.0,https://pypi.org/project/catboost,,,1897642.0,1921804.0,https://anaconda.org/conda-forge/catboost,2023-06-16 16:11:52.269,1369524.0,,,,,2.0,172157.0,-4.0,,,,,,,,,,,,,,,,,, +93,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 10:57:30,1413.0,24.0,872,214.0,219.0,174.0,232.0,6435,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,,,,6271.0,5959.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,312.0,1204848.0,1229316.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,342564.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +94,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-08-24 09:26:49.000000,2023-08-21 19:02:19,2798.0,106.0,864,94.0,3018.0,319.0,2349.0,4598,AI Toolkit for Healthcare Imaging.,167.0,36,True,2023-06-08 17:16:23.000,1.2.0,71.0,monai,conda-forge/monai,,,['pytorch'],1288.0,1246.0,https://pypi.org/project/monai,2022-06-13 17:32:37.000,42.0,79562.0,80402.0,https://anaconda.org/conda-forge/monai,2023-06-08 17:03:07.715,16810.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +95,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-08-24 13:18:14.000000,2023-08-23 19:15:57,9195.0,300.0,1502,148.0,1924.0,466.0,1204.0,4546,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",224.0,36,True,2022-12-01 14:00:47.111,2.7.1,671.0,deepchem,conda-forge/deepchem,,,['tensorflow'],253.0,244.0,https://pypi.org/project/deepchem,2023-08-23 19:22:32.000,9.0,10772.0,13213.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,102536.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +96,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-08-24 13:55:10.000000,2023-08-24 10:15:08,20309.0,435.0,1120,236.0,7018.0,784.0,1198.0,4298,"Fast, distributed, secure AI for Big Data.",179.0,36,True,2023-04-24 02:17:43.000,2.3.0,641.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,2023-08-24 13:50:13.000,1.0,4222.0,4222.0,,,,,,,,2.0,,,,,,,,,,,,,,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,,, +97,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-08-24 14:43:23.000000,2023-08-24 14:43:15,5984.0,143.0,1459,112.0,3961.0,647.0,685.0,3980,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",291.0,36,True,2023-04-13 11:23:03.098,4.9.2,35.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],202.0,,https://pypi.org/project/tensorflow-datasets,2023-04-13 11:23:03.098,202.0,1762098.0,1762910.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,21934.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +98,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-08-19 21:28:16.000000,2023-08-19 21:28:11,2204.0,13.0,539,88.0,740.0,226.0,870.0,3396,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,,,,51737.0,50843.0,https://pypi.org/project/shapely,2023-02-02 20:56:31.341,894.0,12944148.0,13171332.0,https://anaconda.org/conda-forge/shapely,2023-08-19 10:00:46.820,8174747.0,,,,,2.0,2389.0,,,,,,,,,,,,,,,,,,, +99,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 07:15:00,5247.0,13.0,278,83.0,760.0,18.0,122.0,2739,"A refreshing functional take on deep learning, compatible with your favorite libraries.",62.0,36,True,2023-08-11 09:46:01.000,8.2.0,228.0,thinc,conda-forge/thinc,,,,36104.0,35471.0,https://pypi.org/project/thinc,2023-08-11 09:35:19.000,633.0,4642261.0,4708384.0,https://anaconda.org/conda-forge/thinc,2023-08-11 14:32:35.502,2578819.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +100,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-08-17 01:04:22.000000,2023-07-21 21:04:15,1505.0,16.0,202,29.0,655.0,26.0,552.0,913,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,,,,24601.0,22676.0,https://pypi.org/project/pyproj,2023-06-12 15:23:40.386,1925.0,7266108.0,7441548.0,https://anaconda.org/conda-forge/pyproj,2023-06-14 07:22:14.931,6491285.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +101,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-08-24 04:58:42.000000,2023-06-30 07:37:44,2613.0,25.0,7977,376.0,2997.0,884.0,6496.0,25278,OpenMMLab Detection Toolbox and Benchmark.,411.0,35,True,2023-06-30 07:41:30.000,3.1.0,51.0,mmdet,,,,['pytorch'],10.0,10.0,https://pypi.org/project/mmdet,,,175974.0,175974.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,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 16:03:03.000,2023-08-24 13:12:32.000000,2023-08-24 13:12:30,6902.0,206.0,3248,257.0,2289.0,719.0,2431.0,18319,Graph Neural Network Library for PyTorch.,434.0,35,True,2023-04-27 10:19:51.000,2.3.1,35.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],,,https://pypi.org/project/torch-geometric,,,216349.0,217139.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,29256.0,,,,,1.0,,-3.0,,,,,,,,,,,,,,,,,, +103,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,,2349,232.0,336.0,281.0,222.0,13737,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,,,,16049.0,16049.0,https://pypi.org/project/imgaug,,,300375.0,303126.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,137562.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +104,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,,4325,549.0,708.0,372.0,1266.0,13523,"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,,,,,5627.0,5275.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,352.0,31128.0,31128.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +105,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-08-21 14:58:08.000000,2023-08-07 02:39:54,3011.0,21.0,1819,285.0,3498.0,304.0,1671.0,13208,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,35,True,2023-05-10 04:36:56.000,3.0rc1,39.0,nni,,,,,461.0,461.0,https://pypi.org/project/nni,,,21737.0,21737.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +106,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-08-21 16:46:49.000000,2023-08-08 07:06:22,1202.0,4.0,2096,122.0,248.0,1018.0,792.0,11672,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'],14222.0,13824.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,398.0,2449350.0,2453454.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,143666.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +107,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,,2176,284.0,3096.0,80.0,2477.0,11562,"An open-source NLP research library, built on PyTorch.",265.0,35,True,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3712.0,3712.0,https://pypi.org/project/allennlp,,,42176.0,44221.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,114553.0,,,,,1.0,61.0,,,,,,,,,,,,,,,,,,, +108,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-08-21 09:18:23.000000,2023-08-06 21:01:36,2407.0,18.0,971,204.0,2229.0,241.0,815.0,8088,Deep universal probabilistic programming with Python and PyTorch.,140.0,35,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1649.0,1557.0,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,92.0,619980.0,623336.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,97332.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +109,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-08-24 13:23:29.000000,2023-08-23 21:24:16,5726.0,221.0,1670,165.0,5056.0,63.0,1661.0,7689,NeMo: a toolkit for conversational AI.,238.0,35,True,2023-08-04 19:50:15.000,1.20.0,44.0,nemo-toolkit,,,,['pytorch'],10.0,10.0,https://pypi.org/project/nemo-toolkit,,,39643.0,40969.0,,,,,,,,1.0,62363.0,,,,,,,,,,,,,,,,,,, +110,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 11:58:59,525.0,15.0,870,86.0,271.0,78.0,375.0,7671,"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,,,,34594.0,33615.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,979.0,2434510.0,2464023.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1091825.0,,,,,2.0,398.0,,,,,,,,,,,,,,,,,,, +111,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 16:08:07.000,2023-08-24 14:52:01.000000,2023-08-22 16:14:52,32054.0,110.0,1991,390.0,6596.0,2708.0,6392.0,6452,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",245.0,35,True,,,146.0,h2o,,,,,91.0,10.0,https://pypi.org/project/h2o,2023-08-22 18:34:10.000,81.0,349223.0,349223.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +112,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 17:24:09,1734.0,49.0,739,126.0,257.0,417.0,322.0,6406,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,,,,10642.0,10162.0,https://pypi.org/project/umap-learn,2022-04-13 21:20:36.000,480.0,827921.0,861138.0,https://anaconda.org/conda-forge/umap-learn,2023-06-16 16:09:19.013,2125896.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +113,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-08-17 15:01:43.000000,2023-08-01 19:55:45,2813.0,50.0,2204,174.0,1062.0,27.0,1383.0,6219,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'],225.0,215.0,https://pypi.org/project/OpenNMT-py,2023-06-22 11:36:01.660,10.0,3326.0,3326.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +114,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-08-24 08:44:55.000000,2023-08-24 04:38:17,2604.0,156.0,619,68.0,3013.0,191.0,755.0,5517,Build Production-Grade AI Applications.,172.0,35,True,2023-08-24 05:07:39.000,1.1.3,112.0,bentoml,,,,,1229.0,1218.0,https://pypi.org/project/bentoml,2023-08-24 05:07:39.000,11.0,108683.0,108723.0,,,,,,,,2.0,2108.0,,,,,,,,,,,,,,,,,,, +115,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 00:16:45,2332.0,76.0,1068,191.0,226.0,271.0,275.0,5240,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,,,,4215.0,3850.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,365.0,193521.0,203002.0,https://anaconda.org/conda-forge/deap,2023-07-21 14:58:59.700,322356.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-08-24 04:45:49.000000,2023-08-24 03:02:04,17886.0,699.0,400,51.0,2139.0,505.0,865.0,4048,"Visualize, create, and debug image and video datasets and model predictions.",89.0,35,True,2023-08-08 16:28:35.000,0.21.6,127.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",389.0,381.0,https://pypi.org/project/fiftyone,2023-08-08 15:23:07.000,8.0,103086.0,103086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +117,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 07:57:53,1994.0,27.0,203,68.0,128.0,80.0,498.0,3540,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,,,,5888.0,5639.0,https://pypi.org/project/plotnine,2023-07-21 09:28:59.000,249.0,1479187.0,1486926.0,https://anaconda.org/conda-forge/plotnine,2023-07-31 20:56:37.934,294110.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,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 12:05:45,1163.0,20.0,1715,149.0,209.0,3.0,675.0,3389,A library for transfer learning by reusing parts of TensorFlow models.,106.0,35,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,2023-07-13 13:55:03.605,329.0,2099265.0,2101696.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,87532.0,,,,,1.0,,4.0,,,,,,,,,,,,,,,,,, +119,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-08-24 14:07:07.000000,2023-08-24 07:51:30,8293.0,63.0,664,98.0,12960.0,39.0,770.0,3387,State of the Art Natural Language Processing.,108.0,35,True,2023-08-02 20:10:07.000,5.0.2,128.0,spark-nlp,,,,['spark'],359.0,334.0,https://pypi.org/project/spark-nlp,2023-08-02 18:21:58.000,25.0,3085576.0,3085576.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +120,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-08-24 11:34:20.000000,2023-08-23 18:27:16,2221.0,146.0,587,76.0,2736.0,243.0,680.0,2182,"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'],351.0,,https://pypi.org/project/torchaudio,2023-05-08 18:00:01.264,351.0,1147334.0,1147334.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +121,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-08-24 09:56:48.000000,2023-08-11 10:02:34,4804.0,76.0,463,21.0,1057.0,852.0,561.0,1889,"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,,,,1873.0,1628.0,https://pypi.org/project/snakemake,2023-08-09 08:21:02.000,245.0,84638.0,93514.0,https://anaconda.org/bioconda/snakemake,2023-08-10 01:02:22.462,834347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +122,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 13:46:52,1510.0,8.0,590,59.0,1870.0,251.0,892.0,1659,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'],13094.0,12880.0,https://pypi.org/project/tensorflow-addons,2023-07-12 00:08:03.536,214.0,870001.0,870001.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +123,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-08-24 13:21:13.000000,2023-08-23 12:11:13,1432.0,144.0,321,28.0,1152.0,47.0,628.0,1610,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",208.0,35,True,2023-08-22 19:49:42.000,1.1.0,36.0,metrics,conda-forge/torchmetrics,,,['pytorch'],14377.0,14364.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,5606.0,41086.0,https://anaconda.org/conda-forge/torchmetrics,2023-08-08 17:51:41.137,1025519.0,,,,,2.0,3435.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,, +124,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 10:06:51,1199.0,15.0,198,33.0,41.0,9.0,153.0,1436,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,,,,55438.0,52115.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3323.0,8509554.0,8510072.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,39436.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,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 22:29:35,1506.0,16.0,341,49.0,1447.0,167.0,653.0,1429,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,,,,4752.0,4613.0,https://pypi.org/project/arviz,2023-07-18 20:14:08.000,139.0,1414852.0,1463699.0,https://anaconda.org/conda-forge/arviz,2023-07-19 16:40:50.313,1904960.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,, +126,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-08-24 13:30:58.000000,2023-08-24 09:55:59,851.0,23.0,293,45.0,983.0,62.0,157.0,1132,Making text a first-class citizen in TensorFlow.,109.0,35,True,2023-07-06 20:43:53.000,2.13.0,50.0,tensorflow-text,,,,['tensorflow'],5707.0,5707.0,https://pypi.org/project/tensorflow-text,,,3530011.0,3530011.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +127,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-08-24 13:42:18.000000,2023-08-24 13:42:18,9997.0,135.0,526,72.0,2089.0,296.0,1567.0,1033,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'],2771.0,2495.0,https://pypi.org/project/nilearn,2023-04-28 09:18:01.445,276.0,26185.0,28946.0,https://anaconda.org/conda-forge/nilearn,2023-06-16 13:17:38.098,239812.0,,,,,2.0,136.0,,,,,,,,,,,,,,,,,,, +128,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-08-08 13:17:52.000000,2023-07-31 23:09:25,14769.0,50.0,506,50.0,2260.0,392.0,946.0,698,Workflows and interfaces for neuroimaging packages.,250.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3053.0,2880.0,https://pypi.org/project/nipype,2017-05-21 03:34:02.000,173.0,66660.0,73491.0,https://anaconda.org/conda-forge/nipype,2023-06-16 13:24:57.429,580703.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +129,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-08-24 07:11:39.000000,2023-08-14 17:13:08,1484.0,17.0,6543,377.0,630.0,334.0,3009.0,26008,"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'],1335.0,1335.0,https://pypi.org/project/detectron2,,,,5364.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,198490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-07-03 09:20:46.000000,2023-06-21 06:01:59,384.0,2.0,4645,850.0,262.0,543.0,609.0,24942,Library for fast text representation and classification.,62.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5098.0,4883.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,215.0,1249486.0,1250380.0,https://anaconda.org/conda-forge/fasttext,2023-06-16 13:22:18.275,62580.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +131,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-08-24 05:47:16.000000,2023-08-24 05:44:01,7092.0,285.0,2537,292.0,169.0,26.0,943.0,23798,"Visualizer for neural network, deep learning, and machine learning models.",2.0,34,True,2023-08-17 21:51:04.000,7.1.4,591.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,2023-08-17 21:51:04.000,73.0,15834.0,101835.0,,,,,,,,1.0,86001.0,,,,,,,,,,,,,,,,,,, +132,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 13:12:55.000000,2021-11-17 17:52:52,3466.0,,3821,667.0,1667.0,134.0,1979.0,22874,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],403.0,360.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,19845.0,37775.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2164.0,,,,,2.0,1052851.0,10.0,,,,,,,,,,,,,,,,,, +133,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-08-23 09:43:26.000000,2023-07-05 17:40:19,8478.0,76.0,2812,264.0,1177.0,166.0,622.0,16210,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,2022-04-01 08:49:49.000,2.0,49595.0,49602.0,,,,,,,,1.0,422.0,,,,,,,recommenders-team/recommenders,,,,,,,,,,,, +134,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-08-24 04:50:34.000000,2023-08-14 19:04:44,4390.0,98.0,1861,181.0,545.0,36.0,642.0,14340,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",139.0,34,True,2023-08-13 10:31:13.000,0.16.3,67.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",15.0,,https://pypi.org/project/tts,2023-08-13 10:31:13.000,15.0,33490.0,77368.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9482.0,,,,,2.0,1259986.0,,,,,,,,,,,,,,,,,,, +135,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 07:12:14,779.0,2.0,1499,125.0,655.0,358.0,425.0,12448,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,34,True,2023-06-10 07:44:08.000,1.3.1,18.0,albumentations,conda-forge/albumentations,,,['pytorch'],16945.0,16945.0,https://pypi.org/project/albumentations,,,1071655.0,1074228.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,128668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-08-14 23:36:50.000000,2023-08-14 19:39:56,4348.0,24.0,1995,291.0,3392.0,47.0,1494.0,10255,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,213.0,34,True,2023-06-06 20:16:41.000,1.7.2,23.0,parlai,,,,['pytorch'],208.0,208.0,https://pypi.org/project/parlai,,,863.0,863.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,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,,2299,221.0,231.0,107.0,409.0,9599,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,,,,815.0,10.0,https://pypi.org/project/wordcloud,2023-05-18 18:12:02.829,805.0,1152550.0,1164152.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,429283.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +138,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,,898,266.0,148.0,108.0,103.0,8940,Fuzzy String Matching in Python.,70.0,34,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,22101.0,20027.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2074.0,5051579.0,5057471.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,500901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,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 19:36:58.000,2023-08-18 14:40:10.000000,2023-07-20 17:28:39,10386.0,17.0,1861,349.0,3378.0,124.0,1126.0,8267,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,,,117915.0,121723.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-08-17 14:28:24.942,129498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +140,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-08-24 14:24:23.000000,2023-08-23 18:35:42,2417.0,42.0,564,102.0,413.0,537.0,1139.0,8149,An open source multi-tool for exploring and publishing data.,74.0,34,True,2023-04-27 15:09:02.422,0.64.3,135.0,datasette,conda-forge/datasette,,,,1232.0,1044.0,https://pypi.org/project/datasette,2023-08-22 17:23:16.000,188.0,27523.0,28407.0,https://anaconda.org/conda-forge/datasette,2023-06-16 19:25:39.949,24735.0,,,,,1.0,55.0,,,,,,,,datasette,,,,,,,,,,, +141,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-08-05 09:01:24.000000,2023-08-05 09:01:02,884.0,2.0,985,125.0,254.0,25.0,626.0,8075,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,34,True,2023-05-02 03:20:40.000,0.1.99,25.0,sentencepiece,conda-forge/sentencepiece,,,,38511.0,38511.0,https://pypi.org/project/sentencepiece,,,9870811.0,9886866.0,https://anaconda.org/conda-forge/sentencepiece,2023-07-01 19:06:44.275,575811.0,,,,,2.0,29613.0,,,,,,,,,,,,,,,,,,, +142,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,,948,133.0,217.0,302.0,266.0,7558,Manipulate audio with a simple and easy high level interface.,95.0,34,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,37350.0,36216.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1134.0,3279401.0,3280504.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,61809.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,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 20:34:30,632.0,32.0,305,67.0,95.0,27.0,120.0,7155,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",23.0,34,True,2023-04-19 04:13:12.000,0.6.1,12.0,einops,conda-forge/einops,,,,15684.0,15684.0,https://pypi.org/project/einops,,,4438147.0,4441008.0,https://anaconda.org/conda-forge/einops,2023-06-16 16:16:58.561,134492.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,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 19:21:45,1213.0,17.0,1022,127.0,267.0,349.0,300.0,6837,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,34,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12065.0,11577.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,488.0,1934146.0,1946351.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,720104.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +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 16:30:25,1302.0,21.0,843,157.0,1634.0,166.0,796.0,6757,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,,,,1474.0,1400.0,https://pypi.org/project/featuretools,2023-07-24 15:40:37.000,74.0,84121.0,88391.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,162271.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +146,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-08-22 16:34:36.000000,2023-08-15 17:52:04,3248.0,11.0,897,138.0,618.0,46.0,1076.0,6138,Python library for audio and music analysis.,115.0,34,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1411.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1411.0,2220771.0,2239207.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,682133.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-06-16 19:17:58.452000,2022-10-17 02:18:00,30611.0,,1397,292.0,6586.0,12.0,2030.0,5819,A flexible framework of neural networks for deep learning.,326.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3485.0,3082.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,403.0,17590.0,17956.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-08-24 07:27:27.000000,2023-08-24 07:26:13,2732.0,203.0,681,140.0,84.0,70.0,320.0,5657,Fit interpretable models. Explain blackbox machine learning.,39.0,34,True,2023-08-11 13:45:31.000,0.4.3,44.0,interpret,,,,['jupyter'],530.0,502.0,https://pypi.org/project/interpret,2023-08-05 05:24:46.000,28.0,60967.0,60967.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +149,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 17:20:35.000,2023-07-25 15:01:13.000000,2023-07-25 15:00:08,1165.0,47.0,626,67.0,122.0,50.0,421.0,5398,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,34,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],882.0,863.0,https://pypi.org/project/pytorch-metric-learning,2023-07-25 14:56:04.000,19.0,240352.0,240599.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10649.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +150,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-08-24 00:19:37.000000,2022-11-13 09:58:17,1107.0,,615,92.0,263.0,43.0,243.0,4047,Geocoding library for Python.,128.0,34,True,2022-11-13 10:18:02.100,2.3.0,59.0,geopy,conda-forge/geopy,,,,4009.0,,https://pypi.org/project/geopy,2022-11-13 10:18:02.100,4009.0,4040092.0,4052852.0,https://anaconda.org/conda-forge/geopy,2023-06-16 13:17:28.231,1135703.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-08-23 18:41:25.000000,2023-08-23 18:41:24,1277.0,9.0,2327,1993.0,523.0,343.0,1071.0,3769,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-08-23 02:38:47.000,1.53.0,100.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-08-23 02:38:47.000,48.0,1341811.0,1341819.0,,,,,,,,2.0,502.0,,,,,,,,,,,,,,,,,,, +152,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,,2013-09-12 07:18:21.000,2023-08-24 14:00:49.000000,2023-08-24 14:00:49,3777.0,93.0,992,154.0,1495.0,327.0,853.0,3368,Fast data visualization and GUI tools for scientific / engineering applications.,258.0,34,False,2023-04-14 21:24:10.000,pyqtgraph-0.13.3,13.0,pyqtgraph,conda-forge/pyqtgraph,,,,7782.0,7782.0,https://pypi.org/project/pyqtgraph,,,119029.0,124699.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,448003.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,, +153,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-08-24 11:42:38.000000,2023-08-24 07:10:40,2401.0,440.0,226,22.0,2116.0,226.0,1155.0,2430,Argilla: the open-source data curation platform for LLMs.,61.0,34,True,2023-08-16 14:46:00.000,1.14.1,94.0,rubrix,conda-forge/rubrix,,,,1566.0,1566.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,269.0,1554.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,25713.0,,,,,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,,, +154,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-08-24 04:22:17.000000,2023-08-24 04:07:22,2507.0,97.0,270,68.0,1220.0,50.0,541.0,2115,Adaptive Experimentation Platform.,150.0,34,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,2023-08-11 14:57:03.000,25.0,150975.0,151447.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,12284.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +155,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-08-23 23:54:18.000000,2023-08-22 19:17:55,3729.0,171.0,349,31.0,2499.0,349.0,914.0,1921,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,129.0,34,True,2023-06-30 16:23:12.000,0.40.0,61.0,pyvista,conda-forge/pyvista,,,['jupyter'],2139.0,2139.0,https://pypi.org/project/pyvista,,,130765.0,140895.0,https://anaconda.org/conda-forge/pyvista,2023-07-21 18:56:11.170,384554.0,,,,,2.0,775.0,,,,,,,,,,,,,,,,,,, +156,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-06-16 20:29:18.000000,2023-06-16 20:29:14,1824.0,6.0,195,28.0,205.0,22.0,380.0,1306,The ctypes-based simple ImageMagick binding for Python.,102.0,34,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,17608.0,16898.0,https://pypi.org/project/wand,2023-01-05 13:11:36.729,710.0,734426.0,735401.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,28330.0,,,,,2.0,22001.0,,,,,,,,,,,,,,,,,,, +157,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-08-23 10:53:37.000000,2023-08-22 14:23:11,2867.0,91.0,348,57.0,1075.0,326.0,889.0,1254,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,,,,4048.0,3649.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,399.0,81120.0,161342.0,https://anaconda.org/conda-forge/cartopy,2023-08-09 21:12:28.547,3128663.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,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 10:20:28.000,2023-08-24 03:26:00.000000,2023-08-21 10:05:50,1035.0,62.0,265,56.0,977.0,129.0,428.0,1110,All the open source things related to the Hugging Face Hub.,103.0,34,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,2023-07-07 14:35:04.525,381.0,14954582.0,14997559.0,https://anaconda.org/conda-forge/huggingface_hub,2023-07-15 10:26:02.115,1289321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,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 06:45:41.000,2023-08-24 14:04:33.000000,2023-08-24 10:02:11,1387.0,67.0,164,31.0,1182.0,51.0,157.0,1021,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,76.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],7534.0,7517.0,https://pypi.org/project/scikit-learn-intelex,2023-07-21 11:46:24.000,17.0,172269.0,179413.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,200032.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +160,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-08-24 14:13:50.000000,2023-08-24 12:48:41,33924.0,548.0,11922,945.0,23274.0,,,21823,Apache Flink Python API.,1761.0,33,True,,,,apache-flink,,,,,10.0,10.0,https://pypi.org/project/apache-flink,,,56554.0,56554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +161,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-08-19 06:49:24.000000,2023-07-04 12:44:09,600.0,2.0,2629,293.0,228.0,275.0,576.0,19223,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",122.0,33,True,2023-05-25 09:11:38.000,1.7.0,21.0,easyocr,,,,,3500.0,3500.0,https://pypi.org/project/easyocr,,,119230.0,275530.0,,,,,,,,1.0,5939401.0,,,,,,,,,,,,,,,,,,, +162,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-08-24 13:36:29.000000,2023-08-24 12:38:26,13806.0,1839.0,2249,375.0,3684.0,600.0,2604.0,17667,MindsDB connects AI models to databases.,748.0,33,False,2023-08-20 13:31:05.000,23.8.3.0,436.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2023-08-20 11:43:50.000,,7775.0,7775.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,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,,4627,1004.0,1868.0,357.0,658.0,16408,"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,2020-10-05 15:46:20.429,85.0,2887.0,3094.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7275.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +164,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,,3235,463.0,671.0,575.0,672.0,14004,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 16:10:01.000,1.15.7,75.0,tensor2tensor,,,,['tensorflow'],1403.0,1403.0,https://pypi.org/project/tensor2tensor,,,4082.0,4082.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +165,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,,1760,264.0,113.0,96.0,535.0,10795,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,,,,4366.0,4201.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,165.0,278639.0,280875.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,178950.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +166,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 08:25:57,3462.0,47.0,739,133.0,147.0,103.0,890.0,9617,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",85.0,33,True,2023-08-12 09:53:50.000,14.4.0,46.0,ocrmypdf,conda-forge/ocrmypdf,,,,588.0,588.0,https://pypi.org/project/ocrmypdf,,,40603.0,42517.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,54587.0,,,,,1.0,95.0,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,, +167,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-07-26 20:24:00.000000,2020-11-30 04:34:51,613.0,,2415,463.0,256.0,570.0,362.0,9595,Deep learning library featuring a higher-level API for TensorFlow.,128.0,33,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5103.0,4614.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,8356.0,8356.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +168,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-08-16 20:13:21.000000,2023-06-06 09:08:21,5835.0,2.0,2949,236.0,1381.0,802.0,3778.0,9547,Open-source simulator for autonomous driving research.,153.0,33,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,526.0,522.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,4.0,13745.0,13745.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +169,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 18:20:37,2422.0,6.0,1542,290.0,423.0,281.0,623.0,9195,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'],2351.0,2290.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,61.0,36088.0,42142.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,230077.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-08-23 06:16:56.000000,2023-08-18 01:59:56,2842.0,13.0,1542,87.0,1590.0,307.0,1565.0,7494,"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'],995.0,991.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,2067.0,2067.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +171,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,,2276,283.0,130.0,297.0,307.0,7454,"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,,,,802.0,10.0,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,792.0,450762.0,452802.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,171418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,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 10:19:01,1688.0,8.0,1275,146.0,200.0,183.0,143.0,7337,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,,,,2750.0,2699.0,https://pypi.org/project/pyod,2023-06-25 06:02:01.357,51.0,570921.0,572942.0,https://anaconda.org/conda-forge/pyod,2023-06-26 04:46:35.290,78853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-08-24 10:55:12.000000,2023-08-24 10:55:05,2184.0,68.0,603,87.0,227.0,366.0,497.0,4652,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",84.0,33,True,2023-08-11 22:49:06.000,1.12.2,87.0,clearml,,allegroai/trains,,,680.0,680.0,https://pypi.org/project/clearml,,,224217.0,224849.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30180.0,2.0,1483.0,,,,,,,,,,,,,,,,,,, +174,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-08-03 18:16:40.000000,2023-07-14 23:18:16,1628.0,2.0,821,117.0,513.0,133.0,335.0,4494,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,99.0,33,True,2023-04-02 19:01:01.792,0.22.0,50.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],10400.0,10226.0,https://pypi.org/project/mlxtend,2022-05-27 02:03:51.000,174.0,606655.0,610560.0,https://anaconda.org/conda-forge/mlxtend,2023-06-16 13:24:16.113,285110.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-08-24 13:43:27.000000,2023-08-24 13:10:10,2395.0,113.0,253,46.0,2026.0,297.0,637.0,4141,"Aim An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing).",65.0,33,True,2023-06-02 08:59:51.000,3.17.5,724.0,aim,conda-forge/aim,,,,309.0,296.0,https://pypi.org/project/aim,2023-08-23 20:10:27.000,13.0,122167.0,123650.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,37098.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,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 14:40:43.000,2023-08-24 09:35:42.000000,2023-08-20 21:54:19,11656.0,164.0,1043,97.0,1226.0,123.0,722.0,3910,"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,,,,414.0,406.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-08-20 22:22:42.000,8.0,41647.0,42481.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-08-21 01:02:57.756,30859.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +177,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-08-22 23:19:43.000000,2023-08-18 20:34:49,1071.0,32.0,548,116.0,752.0,238.0,980.0,3580,"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,,,,3449.0,3287.0,https://pypi.org/project/coremltools,2023-08-15 16:50:49.000,162.0,158432.0,160044.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,51218.0,,,,,2.0,7574.0,,,,,,,,,,,,,,,,,,, +178,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-08-24 11:38:03.000000,2023-07-28 15:49:47,1288.0,4.0,811,268.0,1429.0,302.0,507.0,3350,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,33,True,2023-05-08 19:49:25.000,0.15.2,27.0,torchtext,,,,['pytorch'],471.0,,https://pypi.org/project/torchtext,2023-05-08 18:01:04.941,471.0,439798.0,439798.0,,,,,,,,2.0,,3.0,,,,,,,,,,,,,,,,,, +179,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,,2013-03-21 18:43:22.000,2023-08-21 15:28:48.000000,2023-07-17 15:51:35,7263.0,43.0,592,118.0,1129.0,298.0,1094.0,3103,High-performance interactive 2D/3D data visualization library.,187.0,33,False,2023-05-17 15:53:12.000,0.13.0,33.0,vispy,conda-forge/vispy,,,['jupyter'],1224.0,1224.0,https://pypi.org/project/vispy,,,83970.0,90001.0,https://anaconda.org/conda-forge/vispy,2023-06-16 13:22:11.969,421738.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,,,7.0,,,,,,,,,,,,, +180,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 08:45:48,1464.0,39.0,363,94.0,706.0,133.0,432.0,3047,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,,,,2904.0,2786.0,https://pypi.org/project/datashader,2023-08-17 10:29:09.000,118.0,74814.0,91479.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,649954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +181,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-08-24 12:34:46.000000,2023-08-23 23:35:08,1647.0,104.0,329,52.0,1379.0,71.0,369.0,2716,Bayesian optimization in PyTorch.,100.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],675.0,644.0,https://pypi.org/project/botorch,2023-08-11 00:20:30.000,31.0,197374.0,199624.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,81004.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,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,,,,4917.0,4661.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,256.0,567447.0,576539.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,663764.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +183,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-08-23 21:35:14.000000,2023-08-23 21:34:09,2231.0,14.0,688,82.0,196.0,184.0,458.0,2570,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",139.0,33,True,2023-07-10 22:27:02.271,0.17.0,46.0,tf-agents,,,,['tensorflow'],1257.0,1253.0,https://pypi.org/project/tf-agents,2019-01-17 17:24:54.000,4.0,264886.0,264886.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,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 13:08:13.000,2023-08-21 16:01:42.662000,2023-08-21 13:21:15,1615.0,13.0,317,59.0,166.0,119.0,191.0,2568,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'],978.0,933.0,https://pypi.org/project/tslearn,2023-08-21 13:31:48.000,45.0,271437.0,301803.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1153916.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +185,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 14:59:32,990.0,25.0,460,55.0,130.0,330.0,163.0,2512,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'],2733.0,2528.0,https://pypi.org/project/hdbscan,2023-07-18 17:54:02.116,205.0,525493.0,574571.0,https://anaconda.org/conda-forge/hdbscan,2023-08-24 10:24:17.396,1668680.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,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 00:20:21,2255.0,14.0,535,70.0,474.0,254.0,670.0,2158,Survival analysis in Python.,111.0,33,True,2023-05-01 16:16:01.635,0.27.7,168.0,lifelines,conda-forge/lifelines,,,,1897.0,1777.0,https://pypi.org/project/lifelines,2023-05-01 16:16:01.635,120.0,342286.0,345575.0,https://anaconda.org/conda-forge/lifelines,2023-06-16 13:24:15.529,282909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,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 08:02:14.000,2023-08-19 21:34:33.000000,2023-08-19 21:34:33,3652.0,16.0,189,52.0,1327.0,125.0,699.0,1919,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,,,,1127.0,1105.0,https://pypi.org/project/pythran,2023-05-02 20:06:11.980,22.0,151141.0,162641.0,https://anaconda.org/conda-forge/pythran,2023-06-25 19:04:18.173,402525.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +188,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-08-24 14:35:17.000000,2023-08-23 19:30:28,3546.0,201.0,479,53.0,3518.0,309.0,778.0,1866,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,143.0,33,True,2023-08-02 16:06:18.000,0.31.1,48.0,pennylane,conda-forge/pennylane,,,,659.0,603.0,https://pypi.org/project/pennylane,2023-08-02 16:06:18.000,56.0,38454.0,39472.0,https://anaconda.org/conda-forge/pennylane,2023-06-30 17:57:03.243,21372.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,, +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 16:38:57,2649.0,73.0,244,34.0,184.0,43.0,466.0,1145,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,,,,2538.0,2131.0,https://pypi.org/project/python-igraph,2023-07-19 15:43:15.000,407.0,255289.0,274769.0,https://anaconda.org/conda-forge/igraph,2023-07-15 16:20:54.682,448515.0,,,,,1.0,561794.0,,,,,,,,,,,,,,,,,,, +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 22:07:05,1445.0,6.0,202,48.0,505.0,38.0,719.0,1067,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,,,,15112.0,14243.0,https://pypi.org/project/fiona,2023-05-23 23:16:02.878,869.0,5727334.0,5781645.0,https://anaconda.org/conda-forge/fiona,2023-06-16 13:17:11.785,4833743.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +191,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-08-24 13:50:54.000000,2023-08-24 02:29:54,10935.0,213.0,230,58.0,11353.0,97.0,2061.0,885,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'],124.0,109.0,https://pypi.org/project/hail,2023-07-27 23:40:28.000,15.0,18483.0,18483.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +192,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-08-24 08:28:13.000000,2023-08-22 18:51:06,13033.0,93.0,375,53.0,1882.0,151.0,708.0,612,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",145.0,33,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,960.0,860.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,100.0,15039.0,19665.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,402523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +193,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-08-23 14:27:11.000000,2023-08-06 23:46:30,5554.0,20.0,248,36.0,758.0,122.0,383.0,574,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,,,,14733.0,13610.0,https://pypi.org/project/nibabel,2023-04-03 15:53:03.644,1123.0,260444.0,267585.0,https://anaconda.org/conda-forge/nibabel,2023-06-16 13:17:25.616,621297.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +194,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-08-24 12:27:49.000000,2023-08-24 01:29:25,2674.0,293.0,3648,334.0,3017.0,313.0,1032.0,31752,"Making large AI models cheaper, faster and more accessible.",143.0,32,True,2023-08-01 07:02:44.000,0.3.1,31.0,,,,,,255.0,255.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,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,,2072,185.0,1000.0,572.0,696.0,12089,"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'],1363.0,1357.0,https://pypi.org/project/paddlehub,2021-12-28 02:55:41.000,6.0,4311.0,4323.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,,, +196,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,,1126,347.0,1682.0,498.0,1294.0,11059,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,2020-09-30 22:51:40.000,21.0,30254.0,30388.0,,,,,,,,3.0,9145.0,,,,,,,,,,,,,,,,,,, +197,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 18:12:56,4638.0,3.0,4047,387.0,640.0,499.0,1235.0,11027,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,32,False,2022-07-22 13:50:50.000,3.3.8,19.0,glfw,conda-forge/glfw,,,,11.0,11.0,https://pypi.org/project/glfw,,,178727.0,214603.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,143205.0,,,,,2.0,3355747.0,-3.0,,,,,,,,,,,,,,,,,, +198,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 09:03:21,1077.0,55.0,1452,106.0,82.0,11.0,741.0,7192,"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,,,,,1789.0,1775.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,14.0,27031.0,27031.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +199,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-08-24 11:41:42.000000,2023-08-09 00:08:33,743.0,40.0,652,269.0,959.0,277.0,308.0,6927,Build and manage real-life data science projects with ease!.,72.0,32,True,2023-07-17 15:00:39.868,2.9.11,91.0,metaflow,conda-forge/metaflow,,,,532.0,512.0,https://pypi.org/project/metaflow,2023-07-17 15:00:39.868,20.0,168434.0,172345.0,https://anaconda.org/conda-forge/metaflow,2023-07-19 20:43:51.522,144726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,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 07:21:00,2693.0,13.0,1123,210.0,1030.0,18.0,611.0,6327,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-08-17 08:55:26.000,1.3.0,60.0,deeppavlov,,,,['tensorflow'],361.0,355.0,https://pypi.org/project/deeppavlov,2023-08-17 08:55:26.000,6.0,7624.0,7624.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,, +201,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-08-23 09:48:02.000000,2023-08-18 12:54:59,1069.0,20.0,347,83.0,508.0,47.0,442.0,5275,A scikit-learn compatible neural network library that wraps PyTorch.,59.0,32,True,2023-06-26 15:29:37.000,0.14.0,14.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",934.0,934.0,https://pypi.org/project/skorch,,,69405.0,91521.0,https://anaconda.org/conda-forge/skorch,2023-08-08 10:23:25.251,774067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +202,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,,1594,307.0,292.0,152.0,265.0,5112,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,,,,886.0,852.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,10459.0,10644.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12258.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +203,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-08-03 07:24:09.000000,2023-08-03 07:24:06,540.0,10.0,650,109.0,158.0,31.0,311.0,5025,Python-tesseract is an optical character recognition (OCR) tool for python.,43.0,32,True,2022-08-16 19:20:38.334,0.3.10,27.0,pytesseract,conda-forge/pytesseract,,,,1085.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1085.0,1070958.0,1082754.0,https://anaconda.org/conda-forge/pytesseract,2023-06-16 16:15:55.452,578047.0,,,,,2.0,,5.0,,,,,,,,,,,,,,,,,, +204,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-08-09 21:36:17.000000,2023-08-09 21:35:56,3729.0,97.0,473,82.0,501.0,13.0,432.0,4369,Online machine learning in Python.,103.0,32,True,2023-06-27 09:20:33.000,0.18.0,11.0,river,conda-forge/river,,,,346.0,346.0,https://pypi.org/project/river,,,14724.0,16437.0,https://anaconda.org/conda-forge/river,2023-06-16 19:25:37.799,47988.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +205,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-08-24 08:07:53.000000,2023-08-22 21:23:57,3465.0,60.0,759,57.0,1176.0,311.0,1074.0,3629,"Serve, optimize and scale PyTorch models in production.",166.0,32,True,2023-06-14 23:54:09.000,0.8.1,20.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],11.0,,https://pypi.org/project/torchserve,2023-06-14 18:13:00.919,11.0,35602.0,64055.0,https://anaconda.org/pytorch/torchserve,2023-06-14 18:34:05.576,105204.0,https://hub.docker.com/r/pytorch/torchserve,2023-06-14 18:58:43.090933,17.0,1182335.0,2.0,4871.0,,,,,,,,,,,,,,,,,,, +206,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-08-23 21:46:04.000000,2023-08-23 21:36:21,427.0,16.0,599,81.0,221.0,80.0,384.0,3243,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,32,True,2023-06-13 05:29:00.998,0.7.0,45.0,implicit,conda-forge/implicit,,,,1119.0,1081.0,https://pypi.org/project/implicit,2022-12-11 00:50:00.539,38.0,133021.0,147891.0,https://anaconda.org/conda-forge/implicit,2023-07-25 23:46:06.092,519489.0,,,,,1.0,542.0,,,,,,,,,,,,,,,,,,, +207,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-08-16 07:36:25.000000,2023-08-11 20:45:38,3818.0,23.0,504,56.0,864.0,320.0,950.0,3196,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'],1560.0,1493.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,67.0,226114.0,229112.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,116954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +208,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-08-21 17:20:22.000000,2023-08-21 17:20:21,1350.0,18.0,426,52.0,690.0,49.0,433.0,3101,NeuralProphet: A simple forecasting package.,40.0,32,True,2023-06-14 22:41:07.000,0.6.2,26.0,neuralprophet,,,,['pytorch'],289.0,286.0,https://pypi.org/project/neuralprophet,2023-08-09 16:12:13.000,3.0,151864.0,151864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +209,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,,557,77.0,72.0,58.0,160.0,2840,"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,,,,3968.0,3807.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,161.0,2077567.0,2080742.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,235004.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-08-21 11:50:40.587000,2023-08-21 11:35:28,1269.0,42.0,264,54.0,209.0,51.0,396.0,2752,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,,,,529.0,514.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,15.0,173663.0,195917.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,845665.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +211,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-08-23 22:10:23.000000,2023-08-23 22:10:18,926.0,33.0,216,41.0,487.0,66.0,167.0,2587,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,,,,1425.0,1425.0,https://pypi.org/project/dm-haiku,,,180172.0,180587.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,12461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +212,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 16:10:39,917.0,4.0,376,38.0,140.0,41.0,232.0,2268,A library of sklearn compatible categorical variable encoders.,61.0,32,True,2023-08-15 16:12:45.000,2.6.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],986.0,986.0,https://pypi.org/project/category_encoders,,,1200559.0,1211229.0,https://anaconda.org/conda-forge/category_encoders,2023-08-15 19:21:54.750,234745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,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 16:21:43.000,2023-08-20 17:46:00.000000,2023-05-22 12:29:35,12581.0,,285,24.0,246.0,65.0,272.0,1816,Huggingface Transformers + Adapters =.,1714.0,32,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],226.0,219.0,https://pypi.org/project/adapter-transformers,2022-05-18 08:45:47.000,7.0,15704.0,15704.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,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,,,,8038.0,7516.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,522.0,428991.0,430646.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,129127.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +215,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-08-24 14:20:45.000000,2023-08-23 16:04:14,791.0,112.0,250,50.0,886.0,215.0,268.0,1499,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,77.0,32,True,2023-08-23 12:27:48.000,1.12.0,46.0,optimum,conda-forge/optimum,,,,434.0,415.0,https://pypi.org/project/optimum,2023-08-23 12:27:23.000,19.0,188274.0,188817.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,8697.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +216,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 18:08:53,1073.0,1.0,227,35.0,244.0,46.0,268.0,1408,"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,,,,6061.0,5980.0,https://pypi.org/project/pmdarima,2023-03-15 20:50:50.683,81.0,1513054.0,1539646.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,904158.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +217,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 07:03:26,1146.0,1.0,348,63.0,567.0,249.0,340.0,1393,A Jupyter - Leaflet.js bridge.,83.0,32,True,2023-06-02 07:27:55.785,0.17.3,77.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5203.0,5041.0,https://pypi.org/project/ipyleaflet,2023-06-02 07:10:00.534,157.0,159840.0,217024.0,https://anaconda.org/conda-forge/ipyleaflet,2023-06-05 07:39:09.482,1056951.0,,,,,2.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-06-02 07:27:55.785,5.0,45036.0,,,,,,,,,,,,, +218,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 22:46:20,912.0,22.0,214,60.0,98.0,45.0,169.0,968,Input pipeline framework.,27.0,32,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1508.0,1452.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,710753.0,710753.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,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,,12750,1569.0,220.0,707.0,583.0,49120,The worlds simplest facial recognition api for Python and the command line.,54.0,31,False,2018-04-02 17:18:43.000,1.2.2,2.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],10.0,10.0,https://pypi.org/project/face_recognition,,,47924.0,48447.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,17835.0,,,,,2.0,1119.0,,,,,,,,,,,,,,,,,,, +220,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-08-18 15:32:28.000000,2023-07-13 08:50:20,531.0,1.0,2541,375.0,115.0,205.0,555.0,23278,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'],570.0,564.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,15516.0,73413.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78206.0,,,,,2.0,2583405.0,,,,,,,,,,,,,,,,,,, +221,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-08-24 14:05:17.000000,2023-08-23 21:58:47,2353.0,476.0,1980,251.0,1278.0,49.0,292.0,18984,You like pytorch? You like micrograd? You love tinygrad!.,203.0,31,True,2023-05-26 01:02:57.000,0.6.0,3.0,,,,,['pytorch'],26.0,26.0,,,,,,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,,, +222,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 13:03:36,1421.0,1.0,3721,773.0,1131.0,373.0,588.0,18630,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'],498.0,460.0,https://pypi.org/project/magenta,2018-07-31 15:38:15.000,38.0,2868.0,2868.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-08-24 13:24:51.000000,2023-08-24 13:24:50,1950.0,24.0,2113,263.0,868.0,225.0,555.0,11846,"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'],11.0,10.0,https://pypi.org/project/pyqlib,2022-06-15 06:55:10.000,1.0,2012.0,2022.0,,,,,,,,2.0,371.0,,,,,,,,,,,,,,,,,,, +224,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 09:09:17,859.0,2.0,1267,423.0,82.0,30.0,157.0,9602,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'],1126.0,1126.0,https://pypi.org/project/dm-sonnet,,,25305.0,25863.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,25118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +225,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-08-23 23:33:17.000000,2023-08-23 16:21:14,3601.0,82.0,1014,188.0,2550.0,231.0,703.0,9192,"Low-code framework for building custom LLMs, neural networks, and other AI models.",139.0,31,True,2023-08-15 16:26:33.000,0.8.1.post1,37.0,ludwig,,,,['tensorflow'],188.0,188.0,https://pypi.org/project/ludwig,,,2329.0,2329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +226,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 15:51:47,1385.0,1.0,1362,304.0,887.0,128.0,757.0,8905,AutoML library for deep learning.,142.0,31,True,2023-01-28 18:28:09.000,1.1.0,58.0,autokeras,,,,['tensorflow'],546.0,546.0,https://pypi.org/project/autokeras,,,9398.0,9631.0,,,,,,,,2.0,16102.0,,,,,,,,,,,,,,,,,,, +227,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 21:07:06,544.0,9.0,1155,164.0,421.0,58.0,468.0,7671,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'],83.0,10.0,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,73.0,244962.0,275544.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1192715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-08-15 17:41:01.000000,2023-08-15 17:36:06,1100.0,25.0,1141,140.0,149.0,202.0,1165.0,7592,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'],554.0,554.0,https://pypi.org/project/pytorch3d,,,5624.0,8785.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,142255.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-08-19 07:00:39.000000,2023-04-18 11:08:13,2759.0,,1212,216.0,697.0,158.0,826.0,7102,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,35.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],480.0,480.0,https://pypi.org/project/auto-sklearn,,,31714.0,32381.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,18690.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,, +230,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 06:46:40,354.0,1.0,1455,133.0,123.0,12.0,306.0,6960,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,,,,,2143.0,2040.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,103.0,199451.0,199452.0,,,,,,,,2.0,133.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,, +231,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 00:30:36,2944.0,1.0,1816,201.0,206.0,9.0,1343.0,6280,"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'],1345.0,1345.0,https://pypi.org/project/tensorpack,,,14978.0,15426.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,9815.0,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,, +232,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-08-23 08:55:16.000000,2023-08-18 07:00:53,1067.0,52.0,706,55.0,828.0,237.0,913.0,6250,A python library for user-friendly forecasting and anomaly detection on time series.,99.0,31,True,2023-08-05 12:01:10.000,0.25.0,36.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,347.0,343.0,https://pypi.org/project/u8darts,2023-08-05 12:01:10.000,4.0,10817.0,12185.0,https://anaconda.org/conda-forge/u8darts-all,2023-08-07 19:08:54.536,34068.0,https://hub.docker.com/r/unit8/darts,2023-08-04 15:26:31.586999,,388.0,2.0,,,,,,,,,,,,,,,,,,,, +233,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-08-24 14:09:28.000000,2023-08-24 14:02:11,36919.0,283.0,721,139.0,8342.0,883.0,4768.0,5894,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,2020-06-01 20:07:47.000,8.0,1704.0,1704.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +234,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 16:59:29,152.0,5.0,1004,195.0,91.0,120.0,275.0,5489,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,58.0,kaggle,conda-forge/kaggle,,,,382.0,10.0,https://pypi.org/project/kaggle,2023-08-02 23:56:26.000,372.0,178894.0,182761.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,135360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,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'],2274.0,2234.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,40.0,144617.0,144625.0,,,,,,,,2.0,320.0,,,,,,,,,,,,,,,,,,, +236,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,,1006,153.0,112.0,150.0,79.0,4374,"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,,,,37369.0,36538.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,831.0,346815.0,349708.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,144684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-08-23 10:37:31.000000,2023-08-22 20:01:01,544.0,47.0,673,77.0,283.0,103.0,257.0,4191,Uplift modeling and causal inference with machine learning algorithms.,56.0,31,True,2023-07-10 01:15:00.701,0.14.0,21.0,causalml,,,,,165.0,164.0,https://pypi.org/project/causalml,2023-07-10 01:15:00.701,1.0,284642.0,284642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-08-15 23:28:49.000000,2023-07-08 00:30:37,1017.0,9.0,440,217.0,702.0,175.0,321.0,4121,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'],1428.0,1382.0,https://pypi.org/project/captum,2022-12-27 23:25:01.082,46.0,142199.0,142944.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,14908.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +239,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-08-24 09:29:29.000000,2023-08-23 07:41:59,1391.0,59.0,709,73.0,1698.0,265.0,608.0,3753,Probabilistic time series modeling in Python.,108.0,31,True,2023-08-07 13:56:19.000,0.13.3,92.0,gluonts,anaconda/gluonts,,,['mxnet'],12.0,,https://pypi.org/project/gluonts,2023-08-07 13:56:19.000,12.0,233054.0,233074.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,459.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,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 21:52:11,238.0,5.0,262,45.0,48.0,29.0,87.0,3513,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,,,,4023.0,3894.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,129.0,1214647.0,1222331.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,253577.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +241,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-08-22 17:11:36.000000,2023-07-27 17:51:40,1055.0,18.0,336,62.0,1303.0,131.0,158.0,3496,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,,,,546.0,524.0,https://pypi.org/project/nevergrad,2023-07-25 17:51:48.000,22.0,75343.0,76380.0,https://anaconda.org/conda-forge/nevergrad,2023-06-16 19:18:43.339,41498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +242,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 08:27:48.000000,2023-07-27 13:38:57,3654.0,13.0,446,102.0,1036.0,219.0,367.0,3466,Plotting library for IPython/Jupyter notebooks.,62.0,31,True,2023-08-04 08:28:46.000,0.12.41,62.0,bqplot,conda-forge/bqplot,,,['jupyter'],46.0,46.0,https://pypi.org/project/bqplot,,,166644.0,201744.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1205525.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,,,4190.0,,,,,,,,,,,,, +243,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-08-24 13:36:56.000000,2023-02-05 22:03:50,437.0,,484,63.0,201.0,171.0,142.0,3391,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,,,,3928.0,3877.0,https://pypi.org/project/hnswlib,2023-02-05 22:20:00.654,51.0,803341.0,806645.0,https://anaconda.org/conda-forge/hnswlib,2023-06-28 06:05:30.185,105731.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,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,,425,91.0,121.0,71.0,348.0,3124,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,,,,981.0,924.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,57.0,243722.0,246140.0,https://anaconda.org/conda-forge/nmslib,2023-06-16 19:18:40.569,96740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-08-23 19:27:53.000000,2023-08-23 19:10:26,1192.0,57.0,194,28.0,351.0,88.0,123.0,2839,Lightning fast forecasting with statistical and econometric models.,27.0,31,True,2023-02-28 19:28:00.449,1.5.0,27.0,statsforecast,conda-forge/statsforecast,,,,442.0,421.0,https://pypi.org/project/statsforecast,2023-08-23 19:27:53.000,21.0,388804.0,391571.0,https://anaconda.org/conda-forge/statsforecast,2023-06-18 08:40:58.514,47048.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-06-16 16:11:46.167000,2023-04-18 19:00:21,461.0,,729,120.0,110.0,57.0,365.0,2818,"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'],2139.0,2002.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,137.0,205401.0,208754.0,https://anaconda.org/conda-forge/hmmlearn,2023-06-16 16:11:46.167,191163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,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 13:28:57,327.0,8.0,318,65.0,69.0,7.0,116.0,2815,A Python Perceptual Image Hashing Module.,25.0,31,True,2021-03-25 13:49:48.000,4.1.0,7.0,ImageHash,conda-forge/imagehash,,,,10250.0,10250.0,https://pypi.org/project/ImageHash,,,1232458.0,1236513.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,328474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-08-10 16:17:52.000000,2023-08-10 16:17:52,1098.0,46.0,353,43.0,60.0,120.0,440.0,2728,"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,2023-01-02 17:10:49.041,2.0,11032.0,11433.0,https://anaconda.org/conda-forge/mljar-supervised,2023-07-06 16:03:32.383,10428.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-06-16 19:27:50.549000,2023-04-20 03:41:53,699.0,,233,37.0,781.0,67.0,280.0,2524,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'],2864.0,2806.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,58.0,704130.0,711394.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,152556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-08-23 23:53:22.000000,2023-08-16 16:42:36,10579.0,83.0,368,62.0,2784.0,976.0,2073.0,2485,"With Holoviews, your data visualizes itself.",136.0,31,True,2023-08-17 07:08:33.000,1.17.1,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],,,https://pypi.org/project/holoviews,,,307822.0,344296.0,https://anaconda.org/conda-forge/holoviews,2023-08-17 07:12:54.422,1356208.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,,,785.0,,,,,,,,,,,,, +251,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-08-24 11:59:55.000000,2023-08-24 11:59:55,2890.0,15.0,675,80.0,825.0,250.0,607.0,2442,"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,,,,,736.0,707.0,https://pypi.org/project/pgmpy,2022-06-30 09:26:19.000,29.0,54005.0,54012.0,,,,,,,,2.0,282.0,,,,,,,,,,,,,,,,,,, +252,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-08-24 14:55:47.000000,2023-08-24 14:55:40,5243.0,147.0,666,92.0,5334.0,93.0,815.0,1988,TFX is an end-to-end platform for deploying production ML pipelines.,176.0,31,True,2023-05-03 20:28:00.880,1.13.0,93.0,tfx,,,,['tensorflow'],13.0,,https://pypi.org/project/tfx,2023-05-03 20:28:00.880,13.0,45154.0,45154.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,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,,355,53.0,77.0,82.0,99.0,1733,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'],5427.0,5271.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,156.0,287312.0,288475.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,72114.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +254,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 18:47:16.000,2023-08-21 11:07:59.000000,2023-08-14 12:35:10,1131.0,101.0,206,36.0,1056.0,26.0,495.0,1703,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,2022-05-11 18:17:54.000,3.0,2051.0,2675.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,14996.0,,,,,1.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,, +255,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 01:09:14.000,2023-08-12 00:57:27.000000,2023-08-12 00:57:27,3955.0,53.0,1032,154.0,1040.0,63.0,577.0,1654,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,2023-01-27 17:01:00.499,31.0,78878.0,79123.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-06-17 15:56:10.986929,40.0,12326.0,3.0,8926.0,,,,,,,,,,,,,,,,,,, +256,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-06-19 19:39:48.000000,2023-06-19 19:00:00,1583.0,3.0,270,55.0,133.0,78.0,178.0,1607,"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,,,,2549.0,2332.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,217.0,38826.0,47315.0,https://anaconda.org/conda-forge/pycuda,2023-06-16 19:25:22.090,246198.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +257,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 18:37:12,811.0,6.0,320,125.0,760.0,204.0,159.0,1430,"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'],3106.0,3076.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,361950.0,361950.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,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 18:28:25,1801.0,28.0,269,45.0,259.0,58.0,185.0,1425,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,,,,511.0,465.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,46.0,15263.0,21001.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,361497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,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 18:09:08,1494.0,9.0,142,41.0,130.0,8.0,634.0,1141,A Python data analysis library that is optimized for humans instead of machines.,51.0,31,True,,,7.0,agate,conda-forge/agate,,,,2067.0,2067.0,https://pypi.org/project/agate,,,3660982.0,3662790.0,https://anaconda.org/conda-forge/agate,2023-06-16 13:19:47.023,141055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,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,,,,80402.0,77682.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2720.0,9482684.0,9586576.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,8726965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,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 13:07:33,1845.0,46.0,217,19.0,278.0,48.0,264.0,741,"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,,,,944.0,864.0,https://pypi.org/project/salib,2022-06-22 01:55:54.000,80.0,109862.0,109862.0,https://anaconda.org/conda-forge/salib,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,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 21:24:50.000,2023-08-23 15:59:18.000000,2023-08-22 19:01:26,156508.0,3808.0,78,52.0,1849.0,94.0,279.0,654,TensorFlow ROCm port.,4447.0,31,True,2022-12-06 16:42:53.965,2.9.4,95.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2023-07-09 23:23:00.955,5.0,2900.0,2900.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +263,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 15:56:19,17006.0,149.0,108,26.0,3531.0,509.0,3367.0,450,"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,2023-08-10 15:56:42.000,62.0,12009.0,22067.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,382215.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,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,,4382,1262.0,557.0,836.0,2543.0,17397,"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,2020-12-09 22:21:57.000,19.0,534.0,690.0,,,,,,,,3.0,14207.0,,,,,,,,,,,,,,,,,,, +265,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 16:48:55,286.0,13.0,2451,134.0,40.0,109.0,122.0,15056,"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'],304.0,298.0,https://pypi.org/project/vit-pytorch,2023-08-14 16:49:34.000,6.0,16277.0,16277.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-08-24 11:40:23.000000,2023-08-18 02:24:45,2147.0,9.0,2647,195.0,3551.0,1187.0,3819.0,11043,"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,2022-09-19 20:42:09.271,1.0,885.0,885.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,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,,1840,220.0,46.0,96.0,94.0,8802,"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'],104.0,10.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,126780.0,127477.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,26518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-08-24 06:59:25.000000,2023-08-22 09:54:41,1128.0,14.0,1248,104.0,591.0,672.0,511.0,7503,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,117.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],1942.0,1942.0,,,,,3690.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,169750.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,,2017-09-26 08:00:56.000,2023-08-24 04:17:53.000000,2023-03-14 16:10:05,3603.0,,831,146.0,441.0,92.0,718.0,6747,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",58.0,30,False,2023-03-14 05:09:33.000,1.5.0,16.0,stanza,stanfordnlp/stanza,,,,2054.0,2054.0,https://pypi.org/project/stanza,,,121872.0,122038.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,6832.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-08-23 14:38:24.000000,2023-08-15 01:06:15,5718.0,103.0,800,111.0,1516.0,87.0,567.0,6583,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,30,True,2023-08-15 13:31:30.000,2.5.0,42.0,perspective-python,conda-forge/perspective,,,['jupyter'],11.0,11.0,https://pypi.org/project/perspective-python,,,5607.0,18796.0,https://anaconda.org/conda-forge/perspective,2023-08-17 17:47:39.546,433848.0,,,,,2.0,762.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,,,1010.0,,,,,,,,,,,,, +271,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-08-24 14:32:21.000000,2023-08-23 05:14:29,1370.0,58.0,518,72.0,543.0,66.0,183.0,6423,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",35.0,30,False,2023-05-13 04:22:02.613,2.4.0,23.0,cleanlab,conda-forge/cleanlab,,,,166.0,162.0,https://pypi.org/project/cleanlab,2022-11-28 17:41:01.653,4.0,16957.0,17361.0,https://anaconda.org/conda-forge/cleanlab,2023-06-16 19:18:40.370,16192.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-08-24 05:16:24.000000,2023-08-17 13:39:18,908.0,47.0,861,137.0,587.0,118.0,281.0,6086,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,79.0,30,True,2023-07-30 13:54:28.000,0.10,12.0,dowhy,conda-forge/dowhy,,,,290.0,283.0,https://pypi.org/project/dowhy,2023-07-30 13:57:04.000,7.0,43070.0,43485.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,16216.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,, +273,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,,1390,191.0,783.0,38.0,423.0,5889,"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'],518.0,506.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1124.0,1304.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,6867.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,,2014-12-17 18:16:59.000,2023-08-24 09:09:21.000000,2023-08-24 00:13:34,28766.0,100.0,1487,183.0,1987.0,19.0,1523.0,4506,"mlpack: a fast, header-only C++ machine learning library.",306.0,30,False,2023-06-16 19:48:54.000,4.2.0,44.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,,,1577.0,5755.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,158769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +275,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-07-03 20:37:09.000000,2023-04-30 18:36:20,483.0,,661,92.0,206.0,137.0,356.0,4406,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1228.0,1181.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,47.0,438575.0,441018.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,163682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +276,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-24 05:42:35.000000,2023-08-11 13:10:00,1487.0,57.0,770,145.0,1375.0,308.0,394.0,4366,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,2022-11-22 14:39:00.749,3.0,326279.0,326279.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-08-24 13:16:22.000000,2023-08-24 08:22:05,1610.0,29.0,588,59.0,1751.0,117.0,1142.0,4321,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,,,88026.0,90519.0,https://anaconda.org/pytorch/ignite,2023-06-16 16:08:55.791,154606.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +278,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 09:34:48.000,2023-08-23 15:17:59.000000,2023-08-23 15:17:59,734.0,35.0,349,73.0,263.0,51.0,475.0,4208,Visualizer for pandas data structures.,30.0,30,True,2023-07-19 16:44:58.000,3.3.0,171.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",850.0,833.0,https://pypi.org/project/dtale,2023-07-19 16:26:09.000,17.0,225060.0,231267.0,https://anaconda.org/conda-forge/dtale,2023-07-19 17:10:42.907,242102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,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,,434,41.0,124.0,61.0,154.0,4072,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,866.0,840.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,26.0,135647.0,136128.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,12514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-08-14 22:30:05.000000,2022-09-24 16:20:26,585.0,,789,91.0,195.0,98.0,408.0,3952,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'],3257.0,3225.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,32.0,70963.0,71777.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,17928.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +281,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,,796,149.0,116.0,132.0,99.0,3738,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,,,,2485.0,2442.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,43.0,59584.0,60186.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,18080.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,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,,455,72.0,37.0,8.0,121.0,3627,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,,,,12729.0,12592.0,https://pypi.org/project/missingno,2022-02-27 20:39:36.000,137.0,449552.0,453600.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,295540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,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,,114,76.0,66.0,13.0,120.0,3588,"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,,,,12942.0,12942.0,https://pypi.org/project/ftfy,,,3465547.0,3469038.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,265378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +284,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-08-23 23:31:42.000000,2023-08-23 14:05:13,15248.0,75.0,468,71.0,3262.0,796.0,1531.0,3511,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,2020-06-01 20:09:10.000,5.0,1689.0,1689.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +285,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,2020-10-21 14:31:01.000,29.0,27462.0,27611.0,,,,,,,,3.0,12246.0,,,,,,,,,,,,,,,,,,, +286,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-08-15 19:37:14.000000,2023-08-15 18:16:11,972.0,3.0,570,101.0,330.0,29.0,705.0,3158,"Fast, flexible and easy to use probabilistic modelling in Python.",69.0,30,True,2023-08-15 18:16:33.000,1.0.2,71.0,pomegranate,conda-forge/pomegranate,,,,1038.0,981.0,https://pypi.org/project/pomegranate,2023-08-15 18:16:33.000,57.0,19360.0,22053.0,https://anaconda.org/conda-forge/pomegranate,2023-06-16 16:15:58.517,131987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +287,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-08-23 13:27:32.000000,2023-08-23 13:27:28,1458.0,70.0,221,14.0,1652.0,255.0,718.0,2982,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,,,,,251.0,245.0,https://pypi.org/project/deepchecks,2023-07-27 06:52:56.000,6.0,51370.0,51403.0,,,,,,,,2.0,742.0,,,,,,,,,,,,,,,,,,, +288,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 22:38:21.000,2023-08-18 22:17:30.000000,2023-08-10 21:20:25,1035.0,2.0,374,65.0,440.0,197.0,258.0,2763,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'],2674.0,2618.0,https://pypi.org/project/keras-tuner,2023-04-13 04:37:00.942,56.0,177714.0,178685.0,https://anaconda.org/conda-forge/keras-tuner,2023-06-15 21:56:32.772,23306.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,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 17:20:36,617.0,9.0,318,50.0,117.0,55.0,131.0,2623,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,,,,901.0,877.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,137200.0,138908.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,56381.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-08-24 14:18:36.000000,2023-08-23 07:04:01,1085.0,68.0,209,25.0,920.0,83.0,360.0,2461,A python library for self-supervised learning on images.,30.0,30,True,2023-08-22 09:07:38.000,1.4.16,103.0,lightly,,,,['pytorch'],163.0,159.0,https://pypi.org/project/lightly,2023-08-22 09:07:38.000,4.0,9980.0,9980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,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 00:28:47,2830.0,11.0,962,122.0,480.0,53.0,289.0,2457,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'],296.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,296.0,283252.0,293343.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,888053.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,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,,353,85.0,166.0,215.0,146.0,2266,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,,,,5392.0,4977.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,407.0,272497.0,275323.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,185126.0,,,,,2.0,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,723.0,,,,,,,,,,,,, +293,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 12:07:51,1342.0,18.0,272,23.0,43.0,24.0,193.0,1979,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,,,,360.0,351.0,https://pypi.org/project/explainerdashboard,2023-08-01 11:53:07.000,9.0,36090.0,37300.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,38734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,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 05:19:43,522.0,8.0,157,44.0,68.0,6.0,119.0,1880,a python library for doing approximate and phonetic matching of strings.,30.0,30,True,,,12.0,jellyfish,conda-forge/jellyfish,,,,6655.0,6655.0,https://pypi.org/project/jellyfish,,,2241715.0,2259108.0,https://anaconda.org/conda-forge/jellyfish,2023-07-02 18:32:29.866,660944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,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 13:22:55,187.0,2.0,251,58.0,65.0,75.0,183.0,1835,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,,,,942.0,870.0,https://pypi.org/project/tesserocr,2023-07-19 13:59:08.000,72.0,59300.0,61952.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,122014.0,,,,,2.0,39.0,,,,,,,,,,,,,,,,,,, +296,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-08-21 11:09:09.000000,2023-08-09 07:05:49,2440.0,7.0,435,74.0,1251.0,143.0,679.0,1759,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'],584.0,548.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,36.0,47935.0,48306.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,23389.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +297,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 14:30:23,670.0,3.0,400,41.0,58.0,19.0,256.0,1731,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,30,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1052.0,1030.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,31599.0,32359.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,26600.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-08-23 13:46:30.000000,2023-08-17 11:00:44,1068.0,71.0,170,22.0,138.0,43.0,121.0,1479,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-15 11:25:56.000,0.32.0,35.0,audiomentations,,,,,327.0,322.0,https://pypi.org/project/audiomentations,2023-08-15 11:25:56.000,5.0,20159.0,20159.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,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 12:04:06,917.0,4.0,427,88.0,197.0,49.0,233.0,1352,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,,,,2360.0,2012.0,https://pypi.org/project/emcee,2022-05-10 15:29:37.000,348.0,100577.0,104064.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,303408.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +300,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-08-24 14:29:49.000000,2023-08-24 08:39:48,714.0,84.0,80,21.0,243.0,56.0,158.0,1322,Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/.,32.0,30,True,2023-07-26 00:11:28.000,0.10.11,43.0,equinox,,,,['jax'],244.0,213.0,https://pypi.org/project/equinox,2023-07-26 00:11:28.000,31.0,27629.0,27629.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +301,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 14:16:32,1460.0,9.0,151,33.0,233.0,,,1276,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",21.0,30,True,2023-08-01 12:10:59.000,1.3.0,39.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1204.0,1204.0,https://pypi.org/project/spacy-transformers,,,276215.0,277212.0,https://anaconda.org/conda-forge/spacy-transformers,2023-08-09 15:18:33.481,20943.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-08-03 09:47:07.000000,2023-08-03 09:42:45,1496.0,22.0,161,19.0,743.0,108.0,427.0,1184,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,,,,460.0,442.0,https://pypi.org/project/pyjanitor,2023-07-27 14:28:53.000,18.0,31892.0,34637.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,178483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,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 10:51:40,2989.0,24.0,256,34.0,37.0,3.0,468.0,1162,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'],451.0,451.0,https://pypi.org/project/ktrain,,,21849.0,21849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +304,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2023-08-16 01:53:22.000000,2023-07-12 12:05:32,1079.0,9.0,237,42.0,482.0,25.0,175.0,1148,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,,,,1153.0,1091.0,https://pypi.org/project/arch,2022-06-22 10:47:05.000,62.0,219169.0,224867.0,https://anaconda.org/conda-forge/arch-py,2023-06-16 16:19:10.926,256441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,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,2020-05-14 03:55:22.223,1572.0,6114329.0,6146962.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2023280.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +306,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,,2011-04-06 02:51:33.000,2023-08-15 07:43:50.000000,2023-08-14 22:36:46,3261.0,12.0,233,50.0,342.0,60.0,261.0,986,"OpenCL integration for Python, plus shiny features.",95.0,30,False,2023-08-14 22:37:25.000,2023.1.2,55.0,pyopencl,conda-forge/pyopencl,,,,1620.0,1620.0,https://pypi.org/project/pyopencl,,,84529.0,108984.0,https://anaconda.org/conda-forge/pyopencl,2023-08-15 04:21:33.200,929309.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-08-24 09:11:27.000000,2023-07-27 18:39:39,9991.0,143.0,209,33.0,1380.0,166.0,335.0,979,Computations and statistics on manifolds with geometric structures.,82.0,30,True,2023-06-28 08:13:55.000,2.6.0,21.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,77.0,77.0,https://pypi.org/project/geomstats,,,2873.0,2981.0,https://anaconda.org/conda-forge/geomstats,2023-08-04 16:05:05.649,1525.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +308,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-08-24 10:46:52.000000,2023-08-22 13:43:37,12210.0,234.0,265,33.0,1631.0,434.0,580.0,938,Python package for earth-observing satellite data processing.,147.0,30,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,2023-02-09 10:49:31.597,16.0,2772.0,7074.0,https://anaconda.org/conda-forge/satpy,2023-07-03 21:06:11.068,163488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +309,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-08-23 15:48:47.000000,2023-08-16 07:19:23,582.0,18.0,88,26.0,427.0,280.0,372.0,796,"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,,,,3573.0,3491.0,https://pypi.org/project/hvplot,2023-06-08 11:14:01.153,82.0,138792.0,150457.0,https://anaconda.org/conda-forge/hvplot,2023-06-20 07:28:53.177,443305.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-08-21 14:27:15.000000,2023-08-21 14:27:15,651.0,11.0,98,13.0,91.0,65.0,60.0,784,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,,,,4227.0,4172.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,55.0,800113.0,832024.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1595574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +311,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 04:36:46,941.0,2.0,170,36.0,112.0,31.0,52.0,677,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,,,,6802.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6798.0,9488451.0,9572291.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7042606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,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 22:48:44,1617.0,21.0,277,42.0,1226.0,261.0,356.0,662,"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,2023-08-02 02:25:49.000,31.0,1495759.0,1495759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +313,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 11:25:57.000,2023-08-24 13:32:02.000000,2023-08-24 12:06:34,1611.0,110.0,48,14.0,1233.0,35.0,193.0,406,The MLOps stack component for experiment tracking.,48.0,30,True,2023-08-23 08:09:39.000,1.6.1,173.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,2023-08-23 08:09:39.000,44.0,570729.0,576054.0,https://anaconda.org/conda-forge/neptune-client,2023-08-23 09:32:07.909,207680.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,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,,3342,589.0,214.0,42.0,,11373,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1720.0,1661.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,59.0,12363.0,12363.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,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,,1700,199.0,68.0,96.0,34.0,9255,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,2023-01-06 00:05:02.564,8.0,558337.0,558337.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-08-24 13:03:10.000000,2023-08-24 13:03:09,405.0,234.0,627,78.0,162.0,87.0,188.0,8305,"PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making..",41.0,29,True,2023-08-24 09:40:04.000,1.0.9,58.0,pandas-ai,,,,,1459.0,1459.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-06-29 10:33:10.000000,2023-06-19 11:23:04,378.0,3.0,2068,290.0,95.0,286.0,441.0,7981,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1418.0,1418.0,https://pypi.org/project/imageai,,,5170.0,19014.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6230.0,,,,,2.0,875297.0,,,,,,,,,,,,,,,,,,, +318,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 14:43:11.000000,2023-08-16 23:55:56,220.0,9.0,1300,172.0,45.0,75.0,235.0,6451,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],19.0,10.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,9.0,56968.0,56968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-08-24 09:04:40.000000,2023-08-24 05:10:20,1880.0,126.0,768,97.0,2085.0,253.0,826.0,6150,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",108.0,29,True,2023-06-30 22:19:00.811,0.8.2,1252.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2023-08-24 09:04:40.000,7.0,36239.0,36314.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,14.0,3715.0,2.0,,,,,,,,,,,,,,,,,,,, +320,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-08-09 20:44:49.000000,2023-05-20 00:55:24,246.0,,817,122.0,38.0,57.0,142.0,4792,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,,,4.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2014.0,2014.0,https://pypi.org/project/torchdiffeq,,,1258955.0,1259283.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,12825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +321,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 05:07:42,1342.0,1.0,374,71.0,364.0,96.0,460.0,4078,"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,,,,2639.0,2533.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,106.0,30026.0,30208.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,3822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,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,,693,176.0,79.0,8.0,268.0,4000,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,,,,417.0,388.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,29.0,29866.0,30028.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5048.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,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,,506,121.0,361.0,66.0,728.0,3800,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,29,True,,,12.0,dedupe,conda-forge/dedupe,,,,290.0,290.0,https://pypi.org/project/dedupe,,,60525.0,62449.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,38486.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +324,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,,399,46.0,1084.0,6.0,351.0,3165,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1005.0,973.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,32.0,55231.0,55231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +325,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,,508,41.0,689.0,429.0,274.0,3159,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,2020-07-26 21:35:43.000,10.0,71699.0,73096.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,48911.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-08-23 19:51:21.000000,2023-08-23 19:51:18,1100.0,102.0,442,61.0,597.0,3.0,475.0,3133,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,2022-06-28 23:59:24.000,11.0,3456.0,3456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +327,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,,667,111.0,73.0,99.0,123.0,2873,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],9078.0,8908.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,170.0,95686.0,95686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +328,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 03:16:39.000,2023-08-21 10:49:35.000000,2023-06-20 03:14:12,435.0,5.0,273,34.0,466.0,30.0,30.0,2834,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'],1022.0,980.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,42.0,84171.0,84478.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,8621.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,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,,412,64.0,931.0,315.0,745.0,2760,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,2018-09-14 03:43:24.000,8.0,9888.0,9888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,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 05:02:19,540.0,13.0,468,97.0,42.0,82.0,240.0,2655,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,2023-08-11 17:56:48.000,13.0,120370.0,120370.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,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,,519,99.0,1043.0,260.0,297.0,2519,"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 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1373.0,1351.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,129096.0,129096.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-08-24 06:15:42.000000,2023-08-24 01:27:08,6324.0,571.0,306,76.0,7404.0,30.0,287.0,2429,"Determined is a deep-learning platform that simplifies distributed training, hyperparameter tuning, experiment..",102.0,29,True,2023-08-18 18:05:34.000,0.24.0,91.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",,,https://pypi.org/project/determined,,,14570.0,14744.0,,,,,,,,3.0,6973.0,,,,,,,,,,,,,,,,,,, +333,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 12:09:24.000,2023-08-24 13:34:54.000000,2023-08-24 13:34:51,750.0,23.0,569,175.0,70.0,6.0,512.0,2313,Python sync/async framework for Interactive Brokers API.,35.0,29,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,2022-11-21 09:32:01.715,23.0,25785.0,26499.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,35031.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-08-24 03:34:12.000000,2023-08-24 03:33:57,1420.0,205.0,551,42.0,27.0,1.0,298.0,2241,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,29,True,2023-08-05 13:13:21.000,2.2.6,110.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,2023-08-05 13:13:21.000,,613.0,613.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +335,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 02:26:03.000,2023-08-24 14:08:32.000000,2023-08-24 05:47:49,2058.0,180.0,162,29.0,822.0,16.0,96.0,2205,Database system for building simpler and faster AI-powered applications.,58.0,29,True,2023-06-30 04:23:00.884,0.3.1,36.0,evadb,,,,['pytorch'],18.0,18.0,https://pypi.org/project/evadb,2022-06-20 00:29:52.000,,523.0,31100.0,,,,,,,,3.0,397509.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,, +336,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 10:17:08,630.0,26.0,229,46.0,610.0,131.0,219.0,2136,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,2023-07-07 14:10:05.734,25.0,16329.0,16329.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +337,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,,255,91.0,123.0,33.0,230.0,2096,"NLP, before and after spaCy.",35.0,29,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1629.0,1515.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,114.0,55808.0,57602.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,134594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-08-15 14:08:44.000000,2023-08-14 10:00:39,737.0,34.0,272,35.0,801.0,42.0,219.0,2030,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",35.0,29,True,2022-09-29 11:52:22.795,0.6.0,12.0,python-doctr,,,,"['tensorflow', 'pytorch']",179.0,176.0,https://pypi.org/project/python-doctr,2022-09-29 11:52:22.795,3.0,7821.0,66216.0,,,,,,,,2.0,1751874.0,,,,,,,,,,,,,,,,,,, +339,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 14:12:47,699.0,27.0,188,35.0,502.0,134.0,231.0,1914,"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,,,,,372.0,366.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,6.0,17362.0,17362.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,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,,393,84.0,93.0,80.0,250.0,1750,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,,,,1574.0,1548.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,26.0,8302.0,8914.0,https://anaconda.org/conda-forge/bt,2023-06-16 19:25:41.987,17155.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-08-24 10:39:36.000000,2023-08-24 10:39:36,801.0,19.0,358,36.0,817.0,175.0,274.0,1631,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,2023-07-27 16:36:24.000,24.0,179690.0,180555.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,28557.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,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 23:40:11,359.0,4.0,240,48.0,306.0,232.0,180.0,1628,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'],249.0,248.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,371635.0,371635.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-08-14 16:12:00.000000,2023-08-14 16:02:23,1697.0,34.0,360,57.0,95.0,51.0,405.0,1570,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,2022-04-18 01:07:39.000,16.0,848.0,979.0,,,,,,,,1.0,11720.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,, +344,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,,308,104.0,49.0,7.0,151.0,1566,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']",75.0,72.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,71144.0,71408.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,12691.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-08-04 15:48:32.000000,2023-06-24 11:01:56,930.0,2.0,166,46.0,284.0,104.0,116.0,1497,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,,,,,3553.0,3454.0,https://pypi.org/project/evaluate,2022-12-13 13:28:07.299,99.0,729944.0,729944.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,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 14:39:40,3622.0,187.0,238,32.0,532.0,80.0,653.0,1441,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,,,,,41.0,40.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,1843.0,1843.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,, +347,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-08-17 22:40:28.000000,2023-08-17 22:40:27,1355.0,28.0,266,73.0,102.0,34.0,52.0,1211,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,2023-08-14 20:39:41.000,23.0,231706.0,231706.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-08-22 10:46:58.000000,2023-08-22 10:46:45,3446.0,226.0,48,147.0,444.0,108.0,298.0,1196,Multiplatform plotting library based on Grammar of Graphics.,19.0,29,True,2023-08-17 11:44:10.000,4.0.0,63.0,lets-plot,,,,,42.0,41.0,https://pypi.org/project/lets-plot,2023-08-17 11:09:12.000,1.0,11987.0,11998.0,,,,,,,,3.0,527.0,,,,,,,,,,,,,,,,,,, +349,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,,,,2236.0,2203.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,33.0,179479.0,180328.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,33993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-08-22 16:33:46.000000,2023-08-22 16:33:44,976.0,55.0,102,25.0,113.0,25.0,50.0,1161,"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,2023-08-22 16:27:40.000,4.0,89246.0,89246.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,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 22:15:53.000,2023-08-17 20:12:02.000000,2023-07-22 14:48:14,967.0,70.0,200,24.0,109.0,23.0,180.0,969,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,2023-06-11 15:03:35.997,8.0,79257.0,81847.0,https://anaconda.org/conda-forge/scikit-survival,2023-06-11 18:58:18.077,54410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,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 20:46:53.000,2023-08-24 14:26:11.000000,2023-08-23 21:58:59,1738.0,150.0,248,22.0,1986.0,84.0,223.0,930,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,38.0,29,True,2023-07-07 02:56:02.235,0.29.0,47.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",66.0,63.0,https://pypi.org/project/raiwidgets,2023-01-18 23:21:09.936,3.0,6931.0,6931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,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,,236,41.0,502.0,221.0,252.0,862,Scalable Machine Learning with Dask.,77.0,29,True,2023-03-24 22:04:58.000,2023.3.24,28.0,dask-ml,conda-forge/dask-ml,,,,843.0,843.0,https://pypi.org/project/dask-ml,,,207257.0,218021.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,753536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,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 23:30:39,485.0,3.0,120,31.0,125.0,25.0,72.0,834,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,,,,15708.0,14472.0,https://pypi.org/project/geojson,2023-01-26 16:04:02.467,1236.0,1139230.0,1147516.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,737493.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +355,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 19:21:48,925.0,24.0,149,48.0,81.0,37.0,138.0,727,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']",757.0,727.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,224708.0,224715.0,,,,,,,,3.0,470.0,,,,,,,,,,,,,,,,,,, +356,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 17:52:43,277.0,5.0,107,24.0,50.0,36.0,53.0,444,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,,,,15030.0,14672.0,https://pypi.org/project/audioread,2022-08-12 20:27:02.876,358.0,1124014.0,1132179.0,https://anaconda.org/conda-forge/audioread,2023-06-16 13:18:56.097,694032.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +357,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-04-02 11:36:25.000000,2020-01-31 13:06:18,347.0,,4769,642.0,370.0,495.0,435.0,14715,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,557.0,518.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,855.0,855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,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 16:28:24,325.0,5.0,1372,440.0,46.0,96.0,86.0,10193,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'],46.0,10.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,34460.0,34460.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +359,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-08-24 11:20:04.000000,2023-08-24 11:20:04,2834.0,30.0,1990,186.0,370.0,160.0,468.0,7983,FinRL: Financial Reinforcement Learning.,101.0,28,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1069.0,1069.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,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,,1153,352.0,79.0,47.0,230.0,7790,StarCraft II Learning Environment.,39.0,28,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,619.0,593.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1086.0,1509.0,,,,,,,,2.0,30524.0,,,,,,,,,,,,,,,,,,, +361,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 15:56:22.000000,2023-05-24 15:56:22,277.0,,870,269.0,98.0,78.0,81.0,7160,Visualizations for machine learning datasets.,31.0,28,True,2019-07-01 16:35:20.000,1.0.0,4.0,facets-overview,,,,['jupyter'],196.0,196.0,https://pypi.org/project/facets-overview,,,200649.0,200649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +362,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,,1582,625.0,2111.0,464.0,1338.0,6328,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,155.0,117.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1854.0,1854.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +363,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,,960,146.0,93.0,73.0,304.0,5923,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,,,,60.0,10.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,119017.0,123980.0,https://anaconda.org/conda-forge/scikit-surprise,2023-06-16 16:08:26.431,332568.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +364,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,,1360,208.0,157.0,42.0,227.0,5431,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,2018-06-01 07:52:24.000,54.0,1445.0,1445.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,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,,1156,215.0,90.0,194.0,120.0,5393,"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,,,,,397.0,378.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,17680.0,17680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-08-24 00:45:08.000000,2023-08-19 20:44:11,6145.0,61.0,508,152.0,1886.0,285.0,1317.0,4208,ArrayFire: a general purpose GPU library.,88.0,28,True,2023-02-13 16:47:37.000,3.8.3,33.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,837.0,881.0,,,,,,,,2.0,4324.0,,,,,,,,,,,,,,,,,,, +367,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,,948,144.0,30.0,46.0,77.0,4032,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,,,,7294.0,7106.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,188.0,259743.0,260186.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,12870.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +368,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,,406,39.0,55.0,118.0,43.0,3857,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'],10572.0,10466.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,106.0,125261.0,125261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +369,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,,,,,1260.0,1000.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,2231.0,2231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +370,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,,799,49.0,48.0,61.0,106.0,3685,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'],1286.0,1267.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,28966.0,43711.0,,,,,,,,3.0,663535.0,,,,,,,,,,,,,,,,,,, +371,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 10:34:37,927.0,24.0,711,85.0,185.0,69.0,623.0,3677,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",47.0,28,True,2023-08-09 11:17:17.000,76,70.0,opencv-python,,,,,,,https://pypi.org/project/opencv-python,,,9882062.0,9882062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,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 02:32:14,1136.0,4.0,666,60.0,1005.0,112.0,731.0,3627,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",84.0,28,True,2023-07-04 07:11:53.000,1.0.1,20.0,mmocr,,,,['pytorch'],71.0,71.0,https://pypi.org/project/mmocr,,,5860.0,5860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +373,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 07:20:07,437.0,4.0,506,114.0,83.0,16.0,98.0,3227,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,2141.0,2141.0,https://pypi.org/project/sumy,,,22842.0,23085.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,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,,238,62.0,45.0,,,3158,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",13.0,28,True,2022-09-18 07:47:16.000,4.5.0,11.0,textdistance,conda-forge/textdistance,,,,4721.0,4721.0,https://pypi.org/project/textdistance,,,320564.0,327607.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,442951.0,,,,,2.0,914.0,,,,,,,,,,,,,,,,,,, +375,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,,357,80.0,61.0,151.0,186.0,3021,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,,,,419.0,393.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,26.0,3613.0,11749.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,626515.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +376,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,,455,84.0,245.0,61.0,154.0,2972,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,,,,,159.0,157.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,18767.0,18768.0,,,,,,,,2.0,74.0,,,,,,,,,,,,,,,,,,, +377,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-08-14 01:31:24.000000,2023-06-13 12:27:52,469.0,5.0,432,35.0,488.0,6.0,,2945,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,,,,607.0,598.0,https://pypi.org/project/sahi,2022-06-25 20:18:21.000,9.0,79035.0,81727.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,46487.0,,,,,3.0,17386.0,,,,,,,,,,,,,,,,,,, +378,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 08:44:14,1017.0,21.0,226,60.0,106.0,5.0,258.0,2910,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,,,,,445.0,438.0,https://pypi.org/project/vidgear,2023-07-22 18:35:14.000,7.0,29281.0,29298.0,,,,,,,,3.0,913.0,,,,,,,,,,,,,,,,,,, +379,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/eli5,2022-05-11 09:37:12.000,90.0,506442.0,508332.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,141755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,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,,409,130.0,129.0,189.0,245.0,2556,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,2021-11-24 21:09:00.501,631.0,116546.0,117188.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,32133.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,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,,413,45.0,347.0,32.0,333.0,2539,"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,,,,527.0,513.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1718.0,2034.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,11702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +382,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-07-24 16:06:20.000000,2023-07-24 16:06:19,2605.0,7.0,319,34.0,492.0,44.0,211.0,2461,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",58.0,28,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,2022-05-25 19:09:47.000,6.0,3668.0,3852.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6461.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,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 11:28:30,1429.0,12.0,286,42.0,292.0,30.0,136.0,2399,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,2023-07-25 14:23:03.000,2.0,4689.0,4689.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,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,,282,66.0,58.0,26.0,39.0,2342,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'],3845.0,3772.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,73.0,409646.0,411851.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,160996.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,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 22:10:29,1131.0,8.0,335,44.0,57.0,64.0,200.0,2288,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,2023-06-01 22:17:00.684,6.0,7023.0,7023.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-08-24 13:58:14.000000,2023-08-22 10:44:16,469.0,37.0,410,27.0,544.0,78.0,489.0,2234,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",49.0,28,True,2023-06-15 14:34:02.513,0.6.0,26.0,anomalib,,,,,25.0,24.0,https://pypi.org/project/anomalib,2023-06-15 14:34:02.513,1.0,8644.0,8736.0,,,,,,,,2.0,1850.0,,,,,,,,,,,,,,,,,,, +387,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-08-22 16:20:29.000000,2023-08-22 16:20:29,468.0,16.0,309,62.0,144.0,6.0,91.0,2039,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,,,,,455.0,455.0,https://pypi.org/project/pytextrank,,,57394.0,57394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-08-24 08:38:44.000000,2023-08-23 04:08:35,1308.0,24.0,196,50.0,216.0,143.0,146.0,1899,"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,2023-08-23 04:10:08.000,5.0,3080.0,3080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +389,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-08-24 07:38:07.000000,2023-08-23 14:35:27,1033.0,35.0,180,25.0,357.0,74.0,256.0,1685,Scalable and user friendly neural forecasting algorithms.,27.0,28,True,2023-08-16 20:56:25.000,1.6.2,18.0,neuralforecast,conda-forge/neuralforecast,,,,40.0,37.0,https://pypi.org/project/neuralforecast,2023-08-16 20:56:25.000,3.0,7720.0,8273.0,https://anaconda.org/conda-forge/neuralforecast,2023-08-16 23:20:32.500,9403.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +390,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 23:36:46,406.0,2.0,269,59.0,84.0,21.0,95.0,1579,ffn - a financial function library for Python.,30.0,28,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,391.0,362.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,29.0,287205.0,287388.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +391,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-06-20 13:16:51.000000,2023-06-20 13:16:50,391.0,5.0,151,25.0,80.0,41.0,34.0,1558,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,,,,467.0,448.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,100862.0,101796.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,20557.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +392,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-08-24 14:14:17.000000,2023-08-24 00:34:42,1256.0,131.0,279,28.0,1241.0,130.0,87.0,1513,Pytorch domain library for recommendation systems.,169.0,28,True,2023-03-15 20:48:02.000,0.4.0,77.0,torchrec-nightly-cpu,,,,,59.0,59.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,68.0,68.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +393,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 01:33:09,1027.0,2.0,194,53.0,197.0,33.0,263.0,1464,A full spaCy pipeline and models for scientific/biomedical documents.,30.0,28,True,2023-04-29 21:21:03.000,0.5.2,9.0,scispacy,,,,,743.0,743.0,https://pypi.org/project/scispacy,,,56835.0,56835.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,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 19:37:56,696.0,2.0,294,43.0,346.0,68.0,186.0,1463,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'],660.0,643.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,17.0,29887.0,30482.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11281.0,,,,,2.0,99.0,,,,,,,,,,,,,,,,,,, +395,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 21:30:40,940.0,9.0,567,108.0,274.0,11.0,299.0,1429,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,,,,141.0,139.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,10412.0,10465.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4069.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +396,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 12:33:17,1222.0,2.0,130,31.0,93.0,35.0,226.0,1397,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,,,,1441.0,1387.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,74262.0,76109.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,103483.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +397,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-08-15 11:33:28.000000,2023-08-15 11:33:25,159.0,2.0,163,34.0,70.0,16.0,49.0,1336,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,6.0,28,True,2021-01-05 18:31:38.000,0.2.4,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],1269.0,1269.0,https://pypi.org/project/torchsde,,,1321590.0,1322182.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18364.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +398,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 14:26:08,846.0,15.0,260,74.0,474.0,37.0,197.0,1211,Underthesea - Vietnamese NLP Toolkit.,17.0,28,False,2023-07-28 08:49:28.000,6.7.0,124.0,underthesea,,,,,782.0,756.0,https://pypi.org/project/underthesea,2023-07-28 08:49:28.000,26.0,8912.0,8976.0,,,,,,,,2.0,4830.0,,,,,,,,,,,,,,,,,,, +399,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 07:05:58,66.0,21.0,287,57.0,61.0,11.0,107.0,1163,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,,,,,940.0,911.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,29.0,16268.0,16268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +400,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,,336,71.0,83.0,27.0,26.0,1105,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,,,,1332.0,1189.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,143.0,28090.0,28456.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,24197.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,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,,239,40.0,36.0,66.0,590.0,1092,"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,,,,555.0,524.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,31.0,71398.0,72686.0,https://anaconda.org/conda-forge/pyclustering,2023-06-16 16:20:28.705,56455.0,,,,,2.0,466.0,,,,,,,,,,,,,,,,,,, +402,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,,236,61.0,244.0,22.0,337.0,912,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,,,,507.0,471.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,36.0,13152.0,13860.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,23998.0,,,,,3.0,260.0,,,,,,,,,,,,,,,,,,, +403,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 13:05:44.000,2023-07-06 21:23:13.000000,2023-04-19 21:43:19,547.0,,165,35.0,84.0,88.0,122.0,862,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'],1251.0,1227.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,81520.0,81520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +404,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-08-23 22:13:23.000000,2023-08-23 22:13:22,2872.0,43.0,98,15.0,213.0,9.0,111.0,678,Python bindings for MPI.,25.0,28,True,2022-11-02 14:23:02.643,3.1.4,26.0,mpi4py,conda-forge/mpi4py,,,,689.0,,https://pypi.org/project/mpi4py,2022-11-02 14:23:02.643,689.0,160752.0,186204.0,https://anaconda.org/conda-forge/mpi4py,2023-06-16 13:22:26.826,2079839.0,,,,,3.0,14594.0,,,,,,,,,,,,,,,,,,, +405,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 19:46:25,451.0,24.0,100,23.0,82.0,16.0,93.0,614,"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,2022-03-12 17:51:16.000,106.0,18479.0,18479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-08-10 16:45:56.000000,2023-08-10 16:42:09,774.0,21.0,71,29.0,340.0,110.0,221.0,512,"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,,,,774.0,740.0,https://pypi.org/project/geoviews,2023-07-20 15:18:17.000,34.0,6963.0,12341.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,188236.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +407,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,,2017-10-15 09:56:16.000,2023-08-08 09:17:25.121000,2023-07-24 08:34:41,564.0,3.0,38,14.0,63.0,6.0,25.0,202,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-07-21 07:42:13.000,0.7.10,15.0,blis,conda-forge/cython-blis,,,,31769.0,31769.0,https://pypi.org/project/blis,,,4940057.0,4995336.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1934767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +408,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,,847,219.0,451.0,57.0,260.0,13860,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",47.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,30472.0,30878.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-08-11 14:23:28.113587,14.0,19909.0,3.0,,,,,,,,,,,,,,,,,,,, +409,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-08-24 14:46:33.000000,2023-08-23 11:28:19,1719.0,261.0,670,91.0,1773.0,138.0,538.0,12441,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,,,,,,,,,,,,28.0,,,,,,,,3.0,804.0,,,,,,,,,,,,,,,,,,, +410,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,,1642,462.0,698.0,32.0,441.0,7227,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,2022-02-15 02:05:47.000,40.0,1112.0,1131.0,,,,,,,,2.0,1617.0,,,,,,,,,,,,,,,,,,, +411,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,,1185,155.0,950.0,40.0,781.0,5617,Gluon CV Toolkit.,118.0,27,True,2021-03-09 00:20:06.000,0.10.0,10.0,gluoncv,,,,['mxnet'],10.0,10.0,https://pypi.org/project/gluoncv,,,39091.0,39091.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +412,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,,609,139.0,30.0,66.0,53.0,5435,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,1342.0,1296.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,46.0,900415.0,900873.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,16962.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,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,,780,277.0,437.0,221.0,328.0,4800,"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,2018-01-22 06:03:05.000,40.0,374.0,374.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +414,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,,964,283.0,227.0,10.0,355.0,3857,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,2022-04-21 20:05:56.000,5.0,352061.0,352504.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,19533.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,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,,384,65.0,55.0,86.0,54.0,3856,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,,,,,497.0,493.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,79513.0,79513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +416,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-08-21 16:04:48.000000,2023-08-21 16:04:19,1183.0,7.0,396,83.0,52.0,56.0,199.0,3181,A library of reinforcement learning components and agents.,83.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],165.0,162.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1333.0,1555.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +417,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,,1023,218.0,3648.0,418.0,1108.0,2967,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 13:22:38.816,127847.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1501.0,3.0,,,,,,,,,shogun,,,,,,,,,,, +418,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,,1007,167.0,214.0,42.0,146.0,2771,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,,,,659.0,641.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2160.0,2453.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19377.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +419,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 03:30:22,3432.0,61.0,327,157.0,1139.0,21.0,58.0,2642,Neural Network Libraries.,72.0,27,True,2023-07-14 02:40:27.000,1.36.0,71.0,nnabla,,,,,,,https://pypi.org/project/nnabla,,,3254.0,3263.0,,,,,,,,3.0,704.0,-3.0,,,,,,,,,,,,,,,,,, +420,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 00:01:16,1564.0,58.0,227,47.0,2002.0,17.0,620.0,2588,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,2022-07-07 12:28:54.000,,3607.0,3667.0,,,,,,,,3.0,1202.0,,,,,,,,,,,,,,,,,,, +421,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,,278,57.0,14.0,20.0,78.0,2124,Beautiful visualizations of how language differs among document types.,14.0,27,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,430.0,420.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,10394.0,11547.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,83058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,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,,482,40.0,23.0,66.0,38.0,2033,"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'],3957.0,3906.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,38766.0,39004.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10036.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,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 18:14:01,1515.0,28.0,237,65.0,58.0,31.0,185.0,1978,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,2021-05-25 16:47:29.000,,502.0,502.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +424,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 07:11:36,210.0,6.0,222,44.0,82.0,17.0,115.0,1920,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,2021-11-11 15:15:32.000,3.0,9960.0,9960.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-08-15 19:25:46.000000,2023-08-15 18:42:02,824.0,22.0,429,63.0,279.0,111.0,91.0,1804,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,2022-10-19 20:29:02.229,14.0,15907.0,15909.0,,,,,,,,2.0,117.0,,,,,,,,,,,,,,,,,,, +426,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 02:52:06,1364.0,4.0,304,28.0,368.0,72.0,119.0,1536,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,27,True,2023-05-18 06:27:52.000,2.2.5,10.0,pgl,,,,['paddle'],45.0,45.0,https://pypi.org/project/pgl,,,1368.0,1368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,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,,318,74.0,742.0,54.0,168.0,1477,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,,,,,390.0,360.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,30.0,2190.0,2190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,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,,242,49.0,310.0,95.0,14.0,1453,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,2022-05-15 21:06:13.000,33.0,179349.0,179349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,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 11:04:34,170.0,12.0,171,30.0,16.0,,75.0,1407,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,27,True,,,34.0,autoviz,conda-forge/autoviz,,,,535.0,535.0,https://pypi.org/project/autoviz,,,320744.0,322432.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,40528.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +430,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 14:21:42,580.0,119.0,302,52.0,113.0,54.0,29.0,1383,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-01 11:47:13.000,0.3.0,3.0,aix360,,,,,79.0,79.0,https://pypi.org/project/aix360,,,701.0,701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +431,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-08-24 04:57:58.000000,2023-08-24 00:44:24,6049.0,96.0,248,47.0,2293.0,307.0,1277.0,1360,cuGraph - RAPIDS Graph Analytics Library.,102.0,27,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,2020-06-01 20:09:06.000,2.0,166.0,747.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,16273.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +432,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,,233,50.0,183.0,53.0,119.0,1343,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,2016-07-14 01:21:21.000,12.0,14780.0,15028.0,https://anaconda.org/conda-forge/metric-learn,2023-06-16 19:18:35.492,10207.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +433,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 07:48:29,1028.0,3.0,159,18.0,61.0,23.0,306.0,1333,PyTorch Extension Library of Optimized Scatter Operations.,27.0,27,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,2022-11-24 15:04:00.671,67.0,41345.0,47047.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-06-16 19:19:31.487,216676.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +434,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,,,,452.0,415.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,16057.0,26147.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,716397.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +435,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 09:46:40,415.0,2.0,319,40.0,295.0,21.0,200.0,1127,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,,,,,306.0,292.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,9507.0,9507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-08-21 19:21:54.000000,2023-08-18 20:01:59,764.0,23.0,105,33.0,365.0,67.0,281.0,931,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,,,,88.0,82.0,https://pypi.org/project/bambi,2023-07-02 15:44:00.377,6.0,18685.0,19472.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,25195.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,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,,,,1226.0,1099.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,127.0,8995.0,19068.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,382778.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +438,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-08-14 19:14:28.000000,2023-08-08 22:52:30,15577.0,4.0,359,43.0,1594.0,278.0,2942.0,789,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,2023-08-14 19:14:28.000,1.0,923.0,970.0,,,,,,,,3.0,5519.0,,,,,,,,,,,,,,,,,,, +439,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 10:51:56.000,2023-08-21 11:00:48.000000,2023-08-14 07:23:47,753.0,22.0,51,12.0,111.0,36.0,94.0,781,Visualize large time series data with plotly.py.,11.0,27,True,2023-07-13 11:26:44.000,0.9.1,19.0,plotly-resampler,conda-forge/plotly-resampler,,,,497.0,497.0,https://pypi.org/project/plotly-resampler,,,449520.0,450919.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,26591.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,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 04:51:13,1265.0,10.0,118,26.0,400.0,10.0,120.0,737,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,2023-07-22 18:42:55.000,16.0,96729.0,105079.0,https://anaconda.org/conda-forge/cornac,2023-07-25 03:34:46.928,317327.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,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 21:02:09.000,2023-08-17 18:16:43.000000,2023-08-17 18:16:41,794.0,42.0,123,28.0,81.0,27.0,75.0,549,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,,,,,366.0,344.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,22.0,99545.0,99584.0,,,,,,,,3.0,2109.0,,,,,,,,,,,,,,,,,,, +442,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 06:09:13,508.0,15.0,150,31.0,163.0,8.0,92.0,522,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'],291.0,274.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,17.0,28659.0,28933.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,3848.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +443,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 03:20:53,1214.0,227.0,58,8.0,206.0,27.0,109.0,453,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,2023-08-05 22:54:02.000,5.0,4289.0,4289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +444,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-08-24 03:05:16.000000,2023-08-23 17:20:54,1241.0,47.0,148,20.0,669.0,23.0,208.0,451,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,,,,259.0,242.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4905.0,6197.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,67223.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,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'],7303.0,7024.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,279.0,344885.0,345864.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39191.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +446,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-08-19 11:58:26.000000,2023-03-29 01:15:47,1614.0,,800,146.0,1555.0,110.0,125.0,7688,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,,,,,120.0,120.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,,5638.0,5638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +447,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-08-22 12:28:01.512000,,,,700,,,511.0,,7105,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,,,193.0,,https://pypi.org/project/cupy,2023-08-08 06:14:47.000,193.0,19629.0,97784.0,https://anaconda.org/conda-forge/cupy,2023-08-22 12:28:01.512,3020348.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57616.0,3.0,,-12.0,,,,,,,,,,,,,,,,,, +448,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,,1337,346.0,14.0,40.0,65.0,6148,Python library for processing Chinese text.,8.0,26,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1243.0,1201.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,3821.0,3821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +449,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-08-24 11:23:58.000000,2023-06-14 07:01:38,11504.0,43.0,1503,142.0,3252.0,775.0,994.0,5169,An Industrial Grade Federated Learning Framework.,92.0,26,True,2023-06-02 10:06:56.000,1.11.2,44.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,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,,982,240.0,214.0,51.0,198.0,4234,"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,2021-05-10 18:00:35.000,1.0,473.0,578.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,2964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-08-07 20:52:40.000000,2023-08-07 19:43:13,445.0,8.0,263,47.0,434.0,57.0,242.0,3202,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,2020-06-10 22:08:15.000,3.0,8402.0,9530.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,32514.0,,,,,2.0,286.0,,,,,,,,,,,,,,,,,,, +452,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,,811,62.0,628.0,102.0,394.0,3052,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,2022-05-13 04:46:41.000,1.0,462.0,462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,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,,468,101.0,49.0,56.0,253.0,2735,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,2019-04-08 09:56:00.000,23.0,2740.0,3100.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14724.0,,,,,3.0,759.0,,,,,,,,,,,,,,,,,,, +454,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-08-11 02:47:56.000000,2023-07-20 22:17:22,3415.0,9.0,501,111.0,330.0,385.0,643.0,2493,"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,,,,,505.0,489.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,16.0,4083.0,4083.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,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.,151.0,26,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,2018-11-11 16:46:28.000,2.0,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,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 19:09:06,413.0,5.0,685,91.0,229.0,140.0,90.0,2108,"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,,,,291.0,291.0,https://pypi.org/project/aif360,,,5506.0,5698.0,https://anaconda.org/conda-forge/aif360,2023-06-16 19:22:49.476,6754.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,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,,238,25.0,315.0,70.0,37.0,2108,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'],651.0,650.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,29027.0,29126.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +458,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 16:48:48.000,2023-08-22 01:52:20.000000,2023-08-22 01:52:20,621.0,16.0,228,67.0,31.0,58.0,85.0,2070,Fast and Easy Infinite Neural Networks in Python.,26.0,26,True,2023-02-11 00:45:44.000,0.6.2,28.0,neural-tangents,,,,,79.0,78.0,https://pypi.org/project/neural-tangents,2022-02-23 16:56:29.000,1.0,1889.0,1897.0,,,,,,,,3.0,320.0,,,,,,,,,,,,,,,,,,, +459,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'],1716.0,1702.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,49808.0,54737.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,420.0,,,,,3.0,250791.0,,,,,,,,,,,,,,,,,,, +460,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,,158,61.0,66.0,65.0,129.0,1787,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,,,,,310.0,310.0,https://pypi.org/project/hypertools,,,819.0,819.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +461,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,,275,43.0,494.0,172.0,149.0,1662,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,2023-02-03 00:33:00.499,8.0,31133.0,31140.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,,, +462,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-08-24 05:13:39.000000,2023-08-23 23:33:38,634.0,115.0,238,51.0,451.0,22.0,61.0,1554,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,2018-07-29 23:16:03.000,38.0,6080.0,6080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,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,,238,51.0,48.0,20.0,91.0,1526,Contextually-keyed word vectors.,19.0,26,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,292.0,279.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,1734.0,3355.0,https://anaconda.org/conda-forge/sense2vec,2023-06-16 16:17:11.586,34297.0,,,,,3.0,57121.0,,,,,,,,,,,,,,,,,,, +464,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-08-20 19:12:06.000000,2023-08-20 20:11:50,1165.0,58.0,115,29.0,68.0,1.0,29.0,1418,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,2022-06-27 19:59:57.000,7.0,14832.0,14832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +465,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 07:35:59,3033.0,2.0,118,38.0,323.0,11.0,186.0,1396,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,251.0,235.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,16.0,34625.0,34625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-08-08 13:01:48.000000,2023-08-08 13:01:48,514.0,2.0,396,32.0,43.0,13.0,115.0,1280,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,457.0,438.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,19.0,23791.0,23791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +467,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 19:22:07,680.0,9.0,143,25.0,123.0,2.0,124.0,1253,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-05-24 13:51:37.000,1.0.0,20.0,opentsne,conda-forge/opentsne,,,,639.0,639.0,https://pypi.org/project/opentsne,,,22150.0,26095.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,220975.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +468,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,,157,47.0,161.0,18.0,375.0,1236,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,,,,133.0,127.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,6.0,13368.0,13694.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10135.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +469,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,,305,48.0,42.0,85.0,112.0,1223,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'],302.0,297.0,https://pypi.org/project/keras-ocr,2022-12-24 01:56:46.564,5.0,11002.0,28663.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,264.0,,,,,3.0,617886.0,,,,,,,,,,,,,,,,,,, +470,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'],1445.0,1413.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,32.0,10409.0,10409.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +471,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 02:37:17,4198.0,2.0,285,85.0,637.0,14.0,604.0,1179,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,2023-08-01 02:39:38.000,36.0,23751.0,29782.0,https://anaconda.org/conda-forge/pysal,2023-06-16 13:25:31.155,512673.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +472,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 15:44:32,1102.0,3.0,236,39.0,66.0,51.0,203.0,1157,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'],108.0,106.0,https://pypi.org/project/innvestigate,2023-01-31 17:36:00.641,2.0,666.0,672.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,, +473,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,,174,42.0,253.0,59.0,211.0,1128,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,2018-11-14 14:56:22.000,33.0,2867.0,2867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,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 19:32:05,566.0,3.0,191,49.0,61.0,1.0,68.0,971,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,2022-07-29 21:05:16.715,3.0,14991.0,14991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,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 20:19:05,5777.0,118.0,77,14.0,77.0,216.0,218.0,813,"Experiment tracking, ML developer tools.",29.0,26,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,81.0,81.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1141.0,1141.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +476,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-07-13 21:06:16.000000,2023-03-06 13:54:05,3661.0,,314,69.0,671.0,37.0,516.0,795,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,,,327.0,327.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +477,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 15:55:22,3693.0,65.0,66,46.0,346.0,20.0,387.0,535,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,2023-01-19 17:28:00.723,18.0,598.0,1085.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,10244.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +478,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 21:59:57,217.0,1.0,50,14.0,194.0,9.0,184.0,272,"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,2023-04-23 19:42:01.507,259.0,1770910.0,1805158.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2637100.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,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,2022-08-22 17:10:40.826,8.0,2932.0,2932.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +480,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,,606,147.0,1362.0,118.0,985.0,7952,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,2022-09-23 17:40:01.770,1.0,11572.0,11572.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +481,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,,979,185.0,325.0,334.0,292.0,5744,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,2020-07-24 06:34:39.000,3.0,470.0,523.0,,,,,,,,2.0,3679.0,,,,,,,,,,,,,,,,,,, +482,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,,419,60.0,87.0,26.0,86.0,4659,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:26:08.000,0.3.2,8.0,imagededup,,,,['tensorflow'],55.0,55.0,https://pypi.org/project/imagededup,,,1507.0,1507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-08-24 14:09:27.000000,2023-08-24 11:54:16,3223.0,97.0,588,90.0,3557.0,265.0,1215.0,4569,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,85.0,25,True,2023-08-24 13:24:42.000,1.29.0,69.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,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,,658,160.0,130.0,83.0,101.0,4565,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,2021-03-19 16:01:00.000,6.0,664.0,664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,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,,396,39.0,49.0,72.0,173.0,3676,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,70.0,68.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,2615.0,2615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +486,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 08:49:31.000000,2023-08-23 08:47:21,208.0,1.0,299,86.0,90.0,43.0,31.0,3376,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-08-23 08:49:31.000,4.0.4,24.0,chartify,conda-forge/chartify,,,,73.0,73.0,https://pypi.org/project/chartify,,,1761.0,2252.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,28038.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2022-08-23 09:45:09.000000,2022-06-05 10:44:18,1342.0,,512,110.0,71.0,185.0,115.0,3064,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,122.0,122.0,https://pypi.org/project/xlearn,,,4891.0,4954.0,,,,,,,,3.0,4157.0,,,,,,,,,,,,,,,,,,, +488,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-08-23 13:57:33.000000,2023-08-12 03:51:14,4233.0,10.0,525,41.0,971.0,143.0,638.0,2788,"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,2022-02-25 07:32:53.000,2.0,1993.0,2101.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,3589.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +489,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,,,,730.0,725.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,45417.0,45711.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,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 11:44:54,1294.0,2.0,313,94.0,2150.0,206.0,982.0,2633,"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,2022-06-12 11:43:21.000,1.0,104538.0,104538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,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 21:16:10,470.0,1.0,299,65.0,315.0,38.0,123.0,2593,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,2022-05-25 17:42:19.000,1.0,2042.0,2418.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14323.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,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 07:40:10,212.0,8.0,126,29.0,196.0,13.0,72.0,2533,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2021-11-04 14:24:43.000,0.1.32,35.0,hiplot,conda-forge/hiplot,,,,299.0,299.0,https://pypi.org/project/hiplot,,,22295.0,25958.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,153861.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +493,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,,,,,577.0,398.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,179.0,108049.0,108049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-08-21 18:55:22.000000,2023-07-23 14:42:27,191.0,5.0,430,36.0,235.0,16.0,259.0,2253,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,True,2023-07-23 13:34:05.000,4.1.0,17.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,,,34931.0,35194.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5261.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +495,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 21:11:26,451.0,4.0,257,58.0,56.0,19.0,50.0,2191,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,True,2019-11-04 05:16:00.000,0.5.0,5.0,pytorch-nlp,,,,['pytorch'],558.0,558.0,https://pypi.org/project/pytorch-nlp,,,7360.0,7360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,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 21:40:58,1936.0,5.0,309,38.0,80.0,13.0,155.0,2179,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,2022-09-04 16:10:00.738,4.0,1941.0,1941.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +497,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,,312,66.0,38.0,96.0,160.0,2164,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,25,True,,,,hyperas,,,,['tensorflow'],319.0,319.0,https://pypi.org/project/hyperas,,,10573.0,10573.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +498,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 17:48:45,753.0,5.0,283,28.0,693.0,49.0,141.0,2057,"Toolkit for creating, sharing and using natural language prompts.",64.0,25,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,54.0,53.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,5213.0,5213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,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,,,,,264.0,248.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,87949.0,87949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,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,,191,30.0,59.0,35.0,82.0,1937,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'],279.0,272.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,3357.0,3557.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6208.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-08-14 19:44:49.000000,2023-05-15 21:21:45,660.0,,189,34.0,132.0,6.0,125.0,1908,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,2022-05-30 21:14:58.000,3.0,5733.0,5740.0,,,,,,,,3.0,276.0,,,,,,,,,,,,,,,,,,, +502,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,,228,44.0,36.0,45.0,21.0,1797,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'],417.0,395.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,27241.0,27714.0,https://anaconda.org/conda-forge/multicore-tsne,2023-06-16 16:11:52.180,26987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,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,,294,56.0,1313.0,233.0,810.0,1727,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,2021-03-23 22:18:36.000,2.0,512.0,512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,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 13:50:19.000,2023-08-24 13:16:04.000000,2023-07-22 17:11:01,561.0,6.0,105,52.0,432.0,56.0,101.0,1628,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,25,True,2023-07-23 13:25:31.000,1.1.9,26.0,hivemind,,,,,76.0,71.0,https://pypi.org/project/hivemind,2023-07-23 13:24:10.000,5.0,7392.0,7392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +505,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-08-24 14:00:30.000000,2023-08-24 14:00:22,1325.0,38.0,107,29.0,88.0,19.0,20.0,1597,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,25,True,2023-07-24 03:25:41.000,0.4.167,143.0,labml,,,,,103.0,97.0,https://pypi.org/project/labml,2023-07-24 03:25:41.000,6.0,5175.0,5175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-08-17 16:35:21.000000,2023-04-11 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,2023-08-16 12:44:32.000,,2792.0,2792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,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,2022-11-22 11:29:10.203,68.0,150109.0,151162.0,https://anaconda.org/conda-forge/feature_engine,2023-07-10 07:40:43.547,37925.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,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 06:34:27,161.0,2.0,248,50.0,86.0,21.0,188.0,1398,"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'],439.0,426.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,13.0,4724.0,4878.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,5865.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-08-12 10:47:17.000000,2023-08-09 20:23:19,2797.0,3.0,167,27.0,646.0,109.0,418.0,1320,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,2023-02-22 18:29:02.145,5.0,4069.0,4073.0,,,,,,,,2.0,175.0,,,,,,,,,,,,,,,,,,, +510,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,,142,29.0,63.0,7.0,70.0,1259,"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'],1156.0,1143.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,16014.0,16014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-06-16 16:13:35.056000,2022-10-19 11:01:06,75.0,,226,20.0,16.0,3.0,86.0,1109,Implementation of the node2vec algorithm.,12.0,25,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,468.0,450.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,18.0,83880.0,84298.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26371.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +512,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 12:48:55,206.0,7.0,76,33.0,106.0,12.0,18.0,1074,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'],156.0,154.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,138612.0,138612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-08-14 23:37:29.000000,2023-08-08 13:40:53,374.0,27.0,169,24.0,30.0,3.0,126.0,1060,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,25,True,,,5.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],399.0,399.0,https://pypi.org/project/prince,,,48401.0,48772.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,16710.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,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 19:07:12,454.0,2.0,99,22.0,301.0,30.0,244.0,1051,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,2023-07-18 19:02:01.000,7.0,37940.0,39014.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,41921.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,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 16:05:04,507.0,38.0,156,33.0,86.0,16.0,32.0,1030,"A program for financial portfolio management, analysis and optimisation.",11.0,25,True,2023-08-17 08:46:10.000,0.6.2,14.0,FinQuant,,,,,79.0,79.0,https://pypi.org/project/FinQuant,2023-08-17 08:46:10.000,,1293.0,1293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,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 14:00:41,129.0,2.0,104,22.0,92.0,33.0,71.0,931,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,,,,1497.0,1487.0,https://pypi.org/project/submitit,2022-07-20 17:19:06.753,10.0,148294.0,149034.0,https://anaconda.org/conda-forge/submitit,2023-06-16 19:21:24.805,26654.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-08-23 08:22:45.000000,2023-08-22 12:36:36,1691.0,62.0,337,56.0,423.0,139.0,238.0,901,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,2021-11-12 12:26:50.000,,471.0,659.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6600.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +518,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 13:02:51,2070.0,2.0,195,43.0,577.0,72.0,424.0,892,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,2023-08-01 13:30:07.000,41.0,31111.0,31663.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,16030.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +519,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,176,39.0,173.0,59.0,173.0,888,A Jupyter - Three.js bridge.,30.0,25,False,2022-08-31 09:02:38.000,2.4.1,18.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],26.0,26.0,https://pypi.org/project/pythreejs,,,74114.0,83972.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,502245.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,,,4086.0,,,,,,,,,,,,, +520,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,,252,42.0,72.0,103.0,188.0,886,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,490.0,452.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,7464.0,7464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +521,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 11:19:26,724.0,4.0,140,15.0,97.0,29.0,220.0,859,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,2022-12-22 14:51:10.764,59.0,24780.0,30784.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,228162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, 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13:16:45.065,847418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,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,,57,13.0,11.0,30.0,5.0,443,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,2016-04-04 01:19:40.000,3683.0,222093.0,224494.0,https://anaconda.org/conda-forge/whoosh,2023-06-16 13:17:46.809,196884.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,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'],294.0,287.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,70186.0,70186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,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,,76,13.0,28.0,6.0,44.0,321,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,14.0,25,True,2023-03-05 05:32:23.000,3.0.1,56.0,pymap3d,conda-forge/pymap3d,,,,305.0,305.0,https://pypi.org/project/pymap3d,,,60883.0,62291.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,57741.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,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,,1075,179.0,212.0,17.0,533.0,7843,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,,,,,,10.0,10.0,,,,,210.0,,,,,,,,3.0,6533.0,,,,,,,,,,,,,,,,,,, +528,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824,170.0,1588.0,145.0,74.0,6362,A natural language modeling framework based on PyTorch.,234.0,24,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],11.0,10.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,91.0,97.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,, +529,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,,840,124.0,62.0,119.0,74.0,4939,Image augmentation library in Python for machine learning.,23.0,24,True,,,,Augmentor,,,,,637.0,637.0,https://pypi.org/project/Augmentor,,,9698.0,9698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,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,2020-02-02 21:16:15.000,16.0,923.0,936.0,,,,,,,,3.0,881.0,,,,,,,,,,,,,,,,,,, +531,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-07-21 01:05:46.000000,2023-07-21 00:58:40,208.0,2.0,282,65.0,176.0,19.0,54.0,4798,"A data augmentations library for audio, image, text, and video.",31.0,24,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,80.0,77.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,2052.0,2052.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,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,,890,45.0,28.0,61.0,110.0,4329,"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'],144.0,136.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,8.0,2770.0,2770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,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,,4104,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,187.0,166.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,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,,711,66.0,247.0,124.0,822.0,3888,"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,2021-04-06 12:38:10.521,35.0,5446.0,5446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-08-21 17:24:33.000000,2023-08-21 17:17:33,1570.0,10.0,491,154.0,608.0,69.0,75.0,3430,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",160.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-06-16 19:24:31.206000,2022-03-16 17:52:29,715.0,,212,55.0,31.0,67.0,120.0,3011,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,2021-08-14 09:14:51.000,5.0,3341.0,3979.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,19802.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-08-01 20:56:00.000000,2023-07-25 01:15:10,176.0,2.0,353,166.0,79.0,87.0,99.0,2968,A deep learning library for video understanding research.,54.0,24,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,36712.0,36712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,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'],2822.0,2793.0,https://pypi.org/project/keras-vis,2017-04-02 03:54:58.000,29.0,1033.0,1033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,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,,673,164.0,60.0,7.0,636.0,2883,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'],,,,,,,901.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,55853.0,,,,,3.0,4676.0,,,,,,,,,,,,,,,,,,, +540,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,,216,48.0,480.0,45.0,70.0,2600,"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,2022-04-26 01:24:34.000,3.0,14122.0,14123.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +541,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-07-13 15:17:55.000000,2023-07-05 16:58:10,934.0,5.0,160,19.0,72.0,87.0,162.0,2598,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,2022-01-28 20:40:22.000,1.0,822.0,822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,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,2022-07-07 07:51:54.000,1.0,1047.0,1047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,326,79.0,54.0,151.0,68.0,2193,Multilingual text (NLP) processing toolkit.,26.0,24,False,,,,polyglot,,,,,1072.0,1072.0,https://pypi.org/project/polyglot,,,76098.0,76098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,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,,291,66.0,14.0,26.0,46.0,2125,Stand-alone language identification system.,9.0,24,False,,,,langid,,,,,6987.0,6987.0,https://pypi.org/project/langid,,,358760.0,358760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-08-23 19:47:58.000000,2023-06-01 12:18:23,739.0,2.0,318,42.0,41.0,92.0,56.0,1998,A modular active learning framework for Python.,20.0,24,True,2023-08-23 19:47:58.000,0.51.3149,157.0,modAL,,,,['sklearn'],14.0,13.0,https://pypi.org/project/modAL,2023-08-23 19:47:58.000,1.0,21417.0,21417.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +546,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,,230,45.0,33.0,48.0,90.0,1842,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,2021-09-20 16:06:33.000,,2866.0,2866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,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,,124,34.0,406.0,65.0,325.0,1700,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,,,,33.0,32.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,121226.0,121441.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4093.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,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,,113,39.0,11.0,32.0,51.0,1600,"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,2020-05-25 11:26:36.000,13.0,3753.0,3753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,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,,268,28.0,182.0,9.0,389.0,1593,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,True,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],172.0,165.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,7.0,1190.0,1190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +550,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-07-20 16:32:55.000000,2023-07-20 16:32:55,1068.0,26.0,245,33.0,34.0,21.0,164.0,1574,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,2015-08-23 10:30:20.000,8.0,328.0,328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +551,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,,281,75.0,728.0,53.0,64.0,1560,An end-to-end PyTorch framework for image and video classification.,77.0,24,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,2195.0,2619.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18257.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,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,,285,46.0,801.0,69.0,485.0,1548,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,2021-05-10 18:56:39.000,,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,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,,407,91.0,165.0,103.0,224.0,1337,[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,2019-10-10 10:59:33.000,1.0,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,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,2022-11-16 09:12:55.841,9.0,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,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,,223,73.0,415.0,75.0,147.0,1123,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,2020-02-14 05:35:56.000,10.0,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,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,2022-09-25 14:40:40.377,9.0,4459.0,4459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-08-23 20:44:29.000000,2023-08-18 18:20:29,1696.0,345.0,72,18.0,559.0,62.0,108.0,946,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,24,False,2023-08-18 22:37:59.000,0.201.0,48.0,metricflow,,,,,11.0,8.0,https://pypi.org/project/metricflow,2023-08-18 17:37:41.000,3.0,3714.0,3714.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,, +558,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,,171,48.0,111.0,51.0,170.0,944,Python interface to GPU-powered libraries.,43.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,311.0,262.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,49.0,615.0,615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,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 17:42:31.000,0.5.5,5.0,pandas-bokeh,,,,['pandas'],505.0,505.0,https://pypi.org/project/pandas-bokeh,,,26195.0,26195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-08-20 14:06:08.000000,2023-08-20 14:06:08,210.0,9.0,80,21.0,147.0,25.0,78.0,771,Library to enable Bayesian active learning in your research or labeling work.,21.0,24,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,2022-05-03 12:50:00.000,1.0,1100.0,1318.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,6764.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,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,,160,33.0,25.0,33.0,235.0,743,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,164.0,152.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,12.0,1737.0,1737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,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 10:38:02,306.0,15.0,129,19.0,72.0,5.0,61.0,716,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,2023-08-22 10:46:05.000,,22599.0,22599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-08-24 14:42:17.000000,2023-08-24 14:42:17,617.0,617.0,30,9.0,23.0,95.0,74.0,671,"lightweight package to simplify LLM API calls - Azure, OpenAI, Cohere, Anthropic, Replicate. Manages input/output..",7.0,24,True,2023-08-23 22:16:12.000,0.1.465,138.0,litellm,,,,others,29.0,27.0,https://pypi.org/project/litellm,2023-08-24 04:27:49.000,2.0,12151.0,12151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-08-24 13:25:25.000000,2023-08-24 11:57:19,969.0,626.0,31,10.0,179.0,22.0,26.0,662,"Fastest Similarity Search engine for Vectors and Strings in C++ 11, C 99, Python 3, JavaScript, Rust, Java,..",16.0,24,True,2023-08-24 11:58:35.603,1.2.2,61.0,usearch,,unum/usearch,,,11.0,8.0,https://pypi.org/project/usearch,2023-08-24 13:25:25.000,1.0,4669.0,6282.0,,,,https://hub.docker.com/r/unum/usearch,2023-08-24 11:58:23.448296,1.0,19.0,3.0,65.0,,usearch,https://www.npmjs.com/package/usearch,2023-08-24 11:58:35.603,2.0,1589.0,,,,,,,,,,,,, +565,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-06-16 19:27:37.870000,2021-02-11 16:40:18,279.0,,68,11.0,47.0,19.0,52.0,640,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,,,,845.0,845.0,https://pypi.org/project/pysbd,,,131387.0,131579.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4227.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-04-07 19:10:09.000000,2023-03-24 08:30:46,549.0,,93,19.0,183.0,93.0,131.0,581,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,24,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,169.0,1472550.0,1472688.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,15740.0,,,,,,,,,,,,,,,,,,, +567,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-08-24 11:43:29.000000,2023-05-08 16:18:21,133.0,,68,22.0,49.0,35.0,30.0,499,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,2023-02-17 21:54:00.812,6.0,808772.0,808772.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +568,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-08-24 14:33:12.000000,2023-08-21 15:04:06,930.0,12.0,158,25.0,796.0,80.0,371.0,447,MONAI Label is an intelligent open source image labeling and learning tool.,50.0,24,True,2023-06-10 01:10:23.000,0.7.0,108.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-08-20 02:17:31.000,,741.0,3161.0,,,,,,,,3.0,60512.0,,,,,,,,,,,,,,,,,,, +569,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-08-01 02:21:14.000000,2023-08-01 02:20:09,642.0,8.0,62,31.0,404.0,13.0,91.0,360,IPython/Jupyter notebook module for Vega and Vega-Lite.,14.0,24,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,2022-02-10 02:01:39.000,83.0,9362.0,15946.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,566300.0,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,, +570,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 11:29:26,153.0,7.0,46,17.0,2.0,9.0,3.0,353,(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,2021-10-01 18:05:35.000,2.0,60422.0,60422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,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,,132,37.0,349.0,45.0,113.0,348,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,2021-03-29 16:34:34.000,50.0,1586.0,3028.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105275.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,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,2022-11-01 06:28:00.638,5.0,1886.0,1886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,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,,474,81.0,36.0,51.0,26.0,10010,"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,2021-10-19 13:33:43.000,,2915.0,3018.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,1962.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,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 10:37:26,755.0,6.0,646,99.0,150.0,96.0,103.0,8274,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,2023-06-18 11:03:00.511,2.0,574.0,574.0,,,,,,,,3.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,,, +575,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,,1379,264.0,68.0,115.0,132.0,6108,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,13.0,10.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,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 21:45:14.000,2023-08-15 16:56:27.000000,2023-08-15 16:56:21,592.0,2.0,709,107.0,579.0,58.0,344.0,5423,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,23,True,2020-04-03 19:06:25.000,0.4.0,1.0,t5,,,,['tensorflow'],,,https://pypi.org/project/t5,,,173312.0,173312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,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 06:18:50,1090.0,2.0,881,117.0,674.0,107.0,540.0,5294,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,115.0,23,True,2019-08-26 19:04:21.000,0.3.1,2.0,mmf,,,,['pytorch'],14.0,14.0,https://pypi.org/project/mmf,,,237.0,237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,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,,1273,307.0,204.0,67.0,205.0,4471,"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 13:00:35.801133,8.0,142966.0,3.0,,,,,,,,,,,,,,,,,,,, +579,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-24 05:42:35.000000,2023-08-11 13:10:00,1487.0,57.0,770,145.0,1375.0,308.0,394.0,4366,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,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,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,,694,103.0,32.0,99.0,112.0,4282,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],119.0,114.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5253.0,5257.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,228.0,3.0,,,,,,,,,,,,,,,,,,,, +581,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 18:14:28,901.0,1.0,529,105.0,617.0,81.0,606.0,4080,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,23,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],,,https://pypi.org/project/yellowbrick,,,392865.0,394730.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,67155.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,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,,824,336.0,89.0,91.0,306.0,3864,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,2018-01-05 23:25:04.000,1.0,71.0,95.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1767.0,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,, +583,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,,507,139.0,649.0,66.0,197.0,3827,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,,,1575.0,1575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,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,,894,176.0,385.0,33.0,430.0,3785,"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,,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,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,,529,175.0,49.0,64.0,49.0,3458,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 20:53:28.000,0.9.0,11.0,adanet,,,,['tensorflow'],53.0,53.0,https://pypi.org/project/adanet,,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,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,2021-08-30 20:13:45.000,2.0,535.0,535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-08-24 13:48:20.000000,2022-12-02 19:48:37,904.0,,329,70.0,1178.0,42.0,76.0,3180,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,27.0,23,True,2022-12-02 03:32:59.000,0.5,7.0,lit-nlp,conda-forge/lit-nlp,,,,20.0,20.0,https://pypi.org/project/lit-nlp,,,1071.0,2887.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,63572.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-07-27 22:24:12.000000,2023-07-27 22:17:12,404.0,3.0,316,55.0,412.0,79.0,106.0,3095,"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,2021-11-02 15:36:07.000,1.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-08-22 16:59:46.000000,2023-06-30 11:01:43,105.0,1.0,250,50.0,17.0,46.0,75.0,2524,"Visualize and compare datasets, target values and associations, with one line of code.",7.0,23,True,2022-06-14 21:52:54.000,2.1.4,32.0,sweetviz,conda-forge/sweetviz,,,,10.0,,https://pypi.org/project/sweetviz,2022-06-14 21:46:56.000,10.0,66078.0,66884.0,https://anaconda.org/conda-forge/sweetviz,2023-06-16 19:24:35.489,24192.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,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,,413,130.0,136.0,60.0,128.0,2401,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],49.0,47.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1546.0,1727.0,,,,,,,,3.0,12690.0,,,,,,,,,,,,,,,,,,, +591,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,,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,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,,304,67.0,78.0,62.0,68.0,2091,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,2021-06-17 23:33:37.000,3.0,2914.0,2914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-08-24 00:45:47.000000,2023-08-16 23:07:32,523.0,1.0,174,36.0,106.0,54.0,125.0,1970,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,23.0,23,True,2023-08-23 00:45:46.000,2023.8.23,649.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-08-24 00:45:47.000,,5632.0,5632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,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,,628,82.0,48.0,24.0,64.0,1945,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,412.0,400.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6671.0,6671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,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 13:04:26.000000,2023-07-27 13:04:12,336.0,8.0,337,42.0,68.0,159.0,95.0,1807,Super easy library for BERT based NLP models.,36.0,23,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2023-07-27 13:04:26.000,2.0,1595.0,1595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,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 17:48:50,26.0,3.0,98,37.0,27.0,22.0,78.0,1734,"A flexible, intuitive and fast forecasting library.",9.0,23,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,20.0,20.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,15251.0,15251.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,, +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,,124,34.0,406.0,65.0,325.0,1700,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,,,,,33.0,32.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,121226.0,121226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,231,56.0,444.0,4.0,401.0,1682,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,,,4050.0,4153.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,2889.0,,,,,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,,209,39.0,111.0,54.0,42.0,1671,"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'],137.0,130.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,7.0,1011.0,3379.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,200147.0,,,,,3.0,385.0,,,,,,,,,,,,,,,,,,, +600,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,,114,28.0,31.0,58.0,50.0,1546,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'],306.0,301.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,41697.0,41697.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-08-12 22:40:29.000000,2023-08-12 21:52:04,339.0,1.0,292,40.0,251.0,67.0,189.0,1333,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,2022-12-08 22:11:59.883,1.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,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,,160,32.0,22.0,42.0,34.0,1245,"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,2019-12-18 13:39:19.000,1.0,292.0,292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-08-22 20:10:25.000000,2023-08-22 20:10:25,688.0,42.0,161,18.0,232.0,57.0,92.0,1139,Generate Diverse Counterfactual Explanations for any machine learning model.,18.0,23,True,2023-06-26 15:48:01.000,0.10,11.0,dice-ml,,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/dice-ml,,,90733.0,90733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-08-15 22:11:55.000000,2023-08-15 22:07:22,180.0,15.0,103,37.0,23.0,15.0,107.0,1074,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,23,True,2023-08-15 22:53:07.000,2.1.2,75.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,11222.0,11222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,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 15:16:10,420.0,10.0,139,97.0,117.0,33.0,45.0,1062,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,2023-07-16 15:34:00.704,1.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,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,,102,12.0,18.0,13.0,15.0,991,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,,,,,4034.0,3783.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,251.0,265166.0,265166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,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,,282,95.0,120.0,62.0,94.0,939,"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,2022-03-01 20:02:01.000,35.0,1052.0,1609.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,40140.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,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,,75,26.0,53.0,30.0,27.0,895,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,,,,500.0,500.0,https://pypi.org/project/youtokentome,,,35401.0,36951.0,https://anaconda.org/conda-forge/youtokentome,2023-06-16 19:27:19.938,35660.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +609,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,,135,25.0,593.0,62.0,511.0,832,"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,2022-02-10 15:55:46.374,6.0,5732.0,5732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,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'],515.0,503.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,12.0,78258.0,78382.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,4234.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,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 11:46:56,231.0,8.0,90,15.0,35.0,30.0,24.0,695,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,,,,,391.0,381.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,14399.0,22257.0,,,,,,,,3.0,259324.0,,,,,,,,,,,,,,,,,,, +612,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,,,,337.0,331.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,16442.0,16504.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1689.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,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 19:01:34,397.0,1.0,155,17.0,72.0,35.0,105.0,650,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,2021-02-17 18:38:15.000,24.0,36663.0,37541.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,77286.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +614,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,2019-06-02 16:02:54.380,15.0,13025.0,13025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-08-01 17:58:07.000000,2023-07-31 17:58:49,335.0,16.0,112,19.0,75.0,23.0,32.0,637,Working with molecular structures in pandas DataFrames.,13.0,23,True,2022-05-13 14:31:23.000,0.4.1,15.0,biopandas,conda-forge/biopandas,,,['pandas'],195.0,195.0,https://pypi.org/project/biopandas,,,5162.0,6954.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,143403.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,, +616,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,2018-11-06 12:56:55.000,22.0,36702.0,37092.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,12496.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-08-23 21:00:59.000000,2023-08-16 21:02:43,473.0,38.0,86,30.0,536.0,197.0,240.0,575,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",31.0,23,True,2023-06-22 16:11:32.190,23.6.0,15.0,merlin-core,,,,,,,https://pypi.org/project/merlin-core,2023-01-02 17:36:18.094,,2164.0,2164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-08-24 14:19:31.000000,2023-08-24 12:14:14,812.0,24.0,76,10.0,655.0,83.0,394.0,550,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,2023-07-25 13:17:29.000,1.0,1044.0,1044.0,,,,,,,,3.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,, +619,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 02:33:23,460.0,2.0,47,8.0,49.0,148.0,219.0,533,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,,,,620.0,574.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,46.0,56610.0,57963.0,https://anaconda.org/conda-forge/pyvips,2023-06-16 16:16:45.970,64961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,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,,129,19.0,32.0,13.0,70.0,496,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,,,,1413.0,1369.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,17602.0,18324.0,https://anaconda.org/conda-forge/medpy,2023-06-16 19:26:34.899,18778.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,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'],64.0,63.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,2273.0,2273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,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,,,,864.0,819.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,45.0,111788.0,112981.0,https://anaconda.org/conda-forge/py3nvml,2023-06-16 19:17:42.495,51302.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,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,,2071,149.0,85.0,227.0,284.0,11546,End-to-End Object Detection with Transformers.,26.0,22,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],10.0,10.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,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,,1457,131.0,51.0,150.0,141.0,7487,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,22,False,2020-03-01 03:29:43.000,1.0,1.0,efficientnet-pytorch,,,,['pytorch'],,,https://pypi.org/project/efficientnet-pytorch,,,143624.0,223073.0,,,,,,,,3.0,3257418.0,-5.0,,,,,,,,,,,,,,,,,, +625,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,,809,234.0,109.0,55.0,619.0,4806,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,,,,,,,,,,,,,,,,,,, +626,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,2022-03-13 19:09:50.000,,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-05-08 22:33:33.000000,2022-07-29 10:37:24,205.0,,982,97.0,61.0,246.0,267.0,4391,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,False,2020-01-10 11:28:38.000,1.0.1,4.0,segmentation_models,,,,['tensorflow'],,,https://pypi.org/project/segmentation_models,,,20048.0,20048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,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,,771,100.0,90.0,106.0,344.0,3990,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,2021-12-13 01:36:44.000,2.0,10324.0,10324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +629,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,2021-10-18 01:47:20.000,7.0,3974.0,3984.0,,,,,,,,3.0,522.0,,,,,,,,,,,,,,,,,,, +630,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,,482,217.0,16.0,24.0,4.0,3178,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,168.0,168.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,, +631,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,,379,208.0,9.0,6.0,16.0,3142,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,2021-08-16 12:19:16.000,3.0,1886.0,1886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-06-23 11:41:33.000000,2022-10-28 22:04:55,271.0,,231,44.0,108.0,54.0,64.0,2768,"Text preprocessing, representation and visualization from zero to hero.",20.0,22,True,2021-07-01 16:53:52.000,1.1.0,4.0,texthero,,,,,,,https://pypi.org/project/texthero,,,15286.0,15288.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,, +633,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,,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-06-12 21:55:06.000000,2023-06-12 19:01:21,105.0,1.0,230,62.0,105.0,25.0,56.0,2076,"Codebase for Image Classification Research, written in PyTorch.",18.0,22,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,212320.0,212320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,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 21:39:32,2288.0,1.0,224,41.0,35.0,5.0,109.0,1959,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,_10304,100.0,karateclub,conda-forge/karateclub,,,,184.0,184.0,https://pypi.org/project/karateclub,,,5648.0,6196.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,20295.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,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 16:17:31.557,987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,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,,255,44.0,13.0,57.0,35.0,1722,"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']",223.0,212.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1173.0,1173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,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,2018-02-22 01:13:03.000,7.0,244.0,244.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +639,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,,270,67.0,51.0,23.0,74.0,1439,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,2020-08-25 09:32:37.000,,386.0,386.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,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,,184,29.0,56.0,20.0,35.0,1198,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,2020-06-15 01:20:07.000,5.0,446.0,446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-08-15 18:22:55.000000,2023-08-10 16:44:57,829.0,1.0,327,52.0,788.0,2.0,298.0,1186,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,59.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2017-06-12 16:32:29.000,2.0,587.0,587.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +642,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,,217,66.0,29.0,31.0,12.0,1117,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,2017-12-11 06:04:15.000,15.0,11778.0,11778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,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,,166,56.0,14.0,30.0,19.0,1003,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,2016-07-27 14:55:01.000,12.0,1816.0,2013.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,5327.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,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,,109,48.0,98.0,41.0,51.0,990,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,2021-11-18 20:57:29.000,8.0,2014.0,2014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,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'],2306.0,2292.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,1535.0,1535.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +646,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,,150,29.0,104.0,64.0,56.0,831,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:36:36.000,1.8.1,4.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,,,https://pypi.org/project/witwidget,,,9154.0,62387.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,1994730.0,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,,,741.0,,,,,,,,,,,,, +647,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,,,,,322.0,318.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,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,,73,6.0,5.0,4.0,23.0,788,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'],356.0,344.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,63761.0,63761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,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 15:55:37,272.0,4.0,240,44.0,18.0,6.0,91.0,769,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,2023-07-26 23:20:24.000,2.0,6349.0,6349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,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,,73,26.0,37.0,25.0,21.0,736,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,23.0,63035.0,63035.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +651,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,,77,36.0,637.0,22.0,118.0,686,Scikit-learn style model finetuning for NLP.,21.0,22,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,,,248.0,248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,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,,104,30.0,1.0,12.0,3.0,621,(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']",576.0,571.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,5.0,67215.0,67215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,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,,129,23.0,18.0,8.0,29.0,566,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,2021-01-28 23:19:33.000,5.0,23704.0,23704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,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,2021-12-19 09:42:50.000,9.0,14652.0,15062.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,21761.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,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 08:06:41.000,2023-08-23 20:54:24.000000,2023-08-19 18:28:43,446.0,26.0,51,25.0,7.0,9.0,29.0,476,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,2023-08-19 18:14:35.000,,620.0,930.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4035.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,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 10:24:07,542.0,28.0,35,14.0,222.0,15.0,40.0,469,Monitor the stability of a Pandas or Spark dataframe.,17.0,22,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,2023-07-18 10:32:00.587,2.0,6783.0,6786.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,, +657,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 12:58:18,278.0,6.0,73,7.0,8.0,2.0,69.0,456,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,2023-01-02 17:22:46.739,2.0,9951.0,9951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,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 15:04:58.000,2023-08-24 13:23:29.000000,2023-08-10 14:15:29,1546.0,88.0,54,6.0,183.0,37.0,74.0,401,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,2023-08-10 10:58:42.000,1.0,504.0,511.0,,,,,,,,3.0,129.0,,,,,,,,,,,,,,,,,,, +659,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,2022-04-28 16:34:21.000,1.0,1376.0,1376.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +660,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 22:25:22,5548.0,155.0,86,14.0,726.0,33.0,419.0,378,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,2023-08-07 15:56:06.000,2.0,5269.0,5269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,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,2021-09-14 22:55:51.000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,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,,,,83.0,81.0,https://pypi.org/project/miceforest,2022-04-15 14:53:33.000,2.0,23759.0,24179.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,10503.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +663,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,2023-08-10 10:30:37.000,,2123.0,2145.0,,,,,,,,3.0,941.0,,,,,,,,,,,,,,,,,,, +664,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 20:58:34.000,2018.7.23,7.0,stop-words,,,,,1966.0,1966.0,https://pypi.org/project/stop-words,,,90904.0,90904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,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 07:38:22,956.0,3.0,532,167.0,45.0,36.0,28.0,3996,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,2022-08-19 12:40:54.257,2.0,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-06-12 18:21:59.000000,2023-06-12 18:21:59,114.0,2.0,357,101.0,16.0,53.0,17.0,3330,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",14.0,21,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,128.0,121.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,1162.0,1162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,,2018-10-01 20:41:16.000,2022-12-08 21:21:56.000000,2022-12-08 21:13:23,167.0,,431,92.0,78.0,55.0,137.0,3276,Generate embeddings from large-scale graph-structured data.,29.0,21,False,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],,,https://pypi.org/project/torchbiggraph,,,304604.0,304607.0,,,,,,,,3.0,163.0,,,,,,,,,,,,,,,,,,, +668,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,,443,168.0,120.0,14.0,112.0,2914,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,,,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-07-20 08:09:53.000000,2023-04-02 02:43:29,2583.0,,998,131.0,978.0,53.0,67.0,2902,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,,,,,42.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,664.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,3401.0,3.0,,,,,,,,,,,,,,,,,,,, +670,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,,327,76.0,2.0,18.0,7.0,2900,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,2019-02-26 04:23:45.000,8.0,1318.0,1318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-08-14 22:34:47.000000,2021-05-06 12:10:38,127.0,,145,50.0,46.0,2.0,30.0,2874,"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,2021-05-04 18:48:03.000,,109.0,175.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,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,,827,87.0,30.0,45.0,80.0,2585,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,2018-04-29 21:05:18.000,7.0,628.0,628.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,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,,357,86.0,4.0,3.0,18.0,2086,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,2018-01-09 08:00:24.000,1.0,287.0,287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,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 17:42:34,12566.0,2.0,84,41.0,47.0,11.0,74.0,2012,The friendly PIL fork.,385.0,21,False,,,,pillow-simd,,,,,,,https://pypi.org/project/pillow-simd,,,53854.0,53854.0,,,,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,, +675,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 17:09:47,309.0,5.0,138,24.0,30.0,26.0,30.0,1772,"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,2022-01-09 21:14:50.000,1.0,823.0,1018.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,3882.0,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,, +676,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,,203,38.0,6.0,14.0,33.0,1622,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,2020-10-23 22:42:49.000,6.0,2227.0,2227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,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,,193,30.0,423.0,11.0,163.0,1613,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,2022-01-20 15:18:44.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,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,,295,67.0,200.0,1.0,74.0,1556,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,,,,,,,,,,,,,,,,,,,, +679,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,,204,56.0,52.0,67.0,148.0,1498,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,21,True,2019-11-17 09:36:51.000,0.3.4,5.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,,,255.0,287.0,,,,,,,,3.0,2668.0,,,,,,,,,,,,,,,,,,, +680,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,,358,64.0,47.0,37.0,72.0,1472,"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,,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-08-17 08:55:57.000000,2023-08-12 13:23:12,1192.0,3.0,86,29.0,136.0,65.0,127.0,1245,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",22.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,104.0,116.0,,,,,,,,3.0,454.0,,,,,,,,,,,,,,,,,,, +682,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,2019-04-02 00:53:47.000,3.0,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,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,,77,39.0,14.0,12.0,26.0,1209,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,2022-08-12 15:25:29.659,6.0,7337.0,7490.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3376.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,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,,208,28.0,61.0,54.0,60.0,1045,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,2017-11-23 06:59:56.000,10.0,324.0,329.0,,,,,,,,3.0,582.0,,,,,,,,,,,,,,,,,,, +685,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 11:26:50.000000,2023-08-18 11:01:23,442.0,1.0,203,55.0,82.0,58.0,204.0,989,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:26:46.000,1.0.6,35.0,calamari_ocr,,,,,,,https://pypi.org/project/calamari_ocr,,,1617.0,1617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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,,132,36.0,16.0,8.0,3.0,914,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3526.0,3514.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,1741.0,1741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,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 01:35:02,228.0,1.0,124,18.0,24.0,26.0,39.0,771,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,2021-03-14 16:21:17.000,26.0,33621.0,33996.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,18420.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,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.,16.0,21,False,2016-01-02 19:06:03.000,0.2,20.0,gmaps,conda-forge/gmaps,,,['jupyter'],3.0,3.0,https://pypi.org/project/gmaps,,,6102.0,11326.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,306891.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,,,1133.0,,,,,,,,,,,,, +689,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,,152,38.0,46.0,39.0,49.0,746,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,2020-11-11 09:32:57.000,8.0,552.0,552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,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,,67,28.0,422.0,10.0,237.0,628,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'],82.0,82.0,https://pypi.org/project/torchbearer,,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,,2015-09-09 13:39:18.000,2023-06-16 13:18:14.055000,2018-12-04 14:43:25,32.0,,76,22.0,7.0,21.0,41.0,598,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,21,False,2018-01-15 18:11:51.000,0.9.0,8.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],357.0,357.0,https://pypi.org/project/pivottablejs,,,20676.0,20703.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,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,2022-02-02 00:12:06.000,2.0,1777.0,1893.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3039.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,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,,57,19.0,216.0,49.0,287.0,579,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,2022-08-16 19:50:37.507,1.0,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,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 23:36:18,861.0,1.0,96,44.0,67.0,48.0,23.0,561,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,2020-12-16 11:48:14.000,6.0,1619.0,1619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,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'],298.0,291.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,51095.0,51095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,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:.,14.0,21,True,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,46.0,44.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1178.0,1178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,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 16:09:49,767.0,3.0,63,18.0,111.0,8.0,47.0,549,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,2022-04-28 20:18:33.000,5.0,3963.0,3963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-08-22 11:31:00.000000,2023-08-22 11:28:24,293.0,5.0,97,15.0,44.0,13.0,15.0,526,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,2022-04-26 17:57:01.000,,11576.0,11576.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,, +699,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,,97,35.0,276.0,68.0,172.0,431,"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,2020-05-24 22:01:17.000,2.0,810.0,813.0,,,,,,,,3.0,281.0,,,,,,,,,,,,,,,,,,, +700,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,,78,24.0,11.0,48.0,49.0,411,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,2015-09-30 05:02:00.000,14.0,5476.0,5476.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,, +701,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 02:49:10,4701.0,47.0,37,13.0,1.0,2.0,80.0,397,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,2023-08-14 03:11:29.000,,397.0,397.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +702,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,2021-03-20 17:11:52.000,46.0,3626.0,4089.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31043.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,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,2020-11-27 09:33:19.000,14.0,107.0,107.0,,,,,,,,3.0,,,,,,,,Ircam-WAM/TimeSide,,,,,,,,,,,, +704,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,,,,,202.0,198.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,4.0,5188.0,5188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-06-16 19:23:09.531000,2023-06-02 19:34:41,510.0,2.0,36,5.0,11.0,5.0,45.0,295,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,2022-05-07 07:58:05.000,24.0,47467.0,70981.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,799480.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,, +706,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-08-24 13:02:20.000000,2023-08-24 13:02:20,588.0,30.0,10,22.0,269.0,34.0,63.0,259,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,2023-08-21 11:38:11.000,1.0,551.0,5659.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-08-21 20:11:06.229,70151.0,,,,,3.0,4633.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-08-21 11:44:18.095,1.0,739.0,hex-inc/vegafusion,,,,,,,,,,,, +707,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,2023-02-18 02:51:08.166,11.0,2386.0,3521.0,https://anaconda.org/conda-forge/somoclu,2023-06-16 13:21:34.221,80502.0,,,,,3.0,1794.0,,,,,,,,,,,,,,,,,,, +708,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 22:53:26,2453.0,1.0,56,9.0,224.0,28.0,72.0,244,Python recommendation toolkit.,13.0,21,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,2022-08-16 20:29:07.512,4.0,930.0,1591.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,21822.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,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 18:02:16,1462.0,16.0,44,14.0,136.0,17.0,61.0,216,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,33.0,31.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-07-10 14:25:15.000000,2023-06-13 12:45:58,188.0,2.0,1142,98.0,46.0,347.0,275.0,5842,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,1.0,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,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,,774,224.0,25.0,7.0,122.0,5281,Build Graph Nets in Tensorflow.,11.0,20,True,,,,graph-nets,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/graph-nets,,,1523.0,1523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,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,,475,88.0,179.0,108.0,161.0,3474,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,2021-08-02 17:37:42.000,,36.0,62.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,,,,,,,,,,,,,,,,,,, +713,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,2021-11-19 16:45:29.543,,234.0,235.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,, +714,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,,308,60.0,242.0,169.0,109.0,2890,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,2022-11-03 06:46:55.989,2.0,3041.0,3056.0,,,,,,,,3.0,669.0,,,,,,,,,,,,,,,,,,, +715,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,,398,101.0,54.0,64.0,48.0,2873,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,2017-02-13 14:54:48.000,4.0,1035.0,1035.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,, +716,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,,322,102.0,999.0,87.0,260.0,2805,"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,,,,,,,,,,,,,,,,,,,, +717,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 21:17:31,765.0,2.0,353,94.0,544.0,83.0,91.0,2726,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,20,True,2019-05-09 10:06:22.000,1.0.0,1.0,tensorflow-graphics,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-graphics,,,3269.0,3269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,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,,445,128.0,225.0,87.0,183.0,2264,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,2019-10-10 14:17:10.000,2.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,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 14:07:30,249.0,2.0,254,54.0,35.0,14.0,105.0,1947,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:08:36.000,1.4.4,21.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,,,2122.0,2122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,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,,128,102.0,150.0,26.0,20.0,1548,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,1035.0,1035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,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.",5.0,20,False,,,,geffnet,,,,['pytorch'],190.0,190.0,https://pypi.org/project/geffnet,,,6830.0,6830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,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 18:58:36,357.0,4.0,124,18.0,57.0,13.0,29.0,1447,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,2022-09-07 17:05:43.199,,520.0,520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,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,,402,102.0,36.0,11.0,24.0,1396,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,2018-02-26 17:43:57.000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,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,,182,56.0,151.0,72.0,97.0,1073,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,2018-09-21 07:03:32.000,,213.0,1040.0,https://anaconda.org/conda-forge/skater,2023-06-16 13:21:14.462,61229.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-08-22 10:52:30.000000,2023-07-19 02:39:43,450.0,19.0,107,19.0,146.0,13.0,98.0,1013,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,2021-09-01 11:51:30.000,2.0,2309.0,2309.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +726,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,,184,52.0,12.0,16.0,42.0,1011,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,2020-03-31 04:35:15.000,4.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,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,2022-02-02 20:34:04.000,5.0,9041.0,9041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,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,,130,27.0,73.0,39.0,36.0,960,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,2020-04-17 02:18:00.000,2.0,251822.0,252000.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7326.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,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,,244,47.0,45.0,25.0,127.0,955,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,False,2020-10-12 06:56:40.000,0.7.6,2.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,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,,175,24.0,58.0,8.0,27.0,897,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,20,False,,,,saliency,,,,['tensorflow'],63.0,63.0,https://pypi.org/project/saliency,,,4919.0,4919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,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,,85,18.0,70.0,17.0,42.0,880,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,2021-12-24 09:38:22.000,3.0,2451.0,2451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,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,,225,31.0,38.0,39.0,20.0,795,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,2022-10-01 22:28:00.848,2.0,38082.0,38082.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,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,2018-05-16 14:20:28.000,1.0,27136.0,27136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,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,2016-09-27 13:03:12.000,16.0,684.0,684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-08-24 14:14:58.000000,2023-08-24 14:10:57,1045.0,127.0,119,32.0,881.0,34.0,50.0,735,Machine learning framework for both deep learning and traditional algorithms.,34.0,20,True,2022-09-07 14:55:47.749,2.0.92,8.0,neoml,,,,,,,https://pypi.org/project/neoml,2022-09-07 14:55:47.749,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,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,,126,30.0,28.0,21.0,34.0,735,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,2021-07-30 15:13:54.000,2.0,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,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 07:08:03,591.0,2.0,120,16.0,50.0,21.0,115.0,677,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,31.0,20,True,2023-03-16 18:03:36.000,1.6.1,30.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],,,https://pypi.org/project/torch-cluster,,,10774.0,12761.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-06-16 19:19:30.367,77500.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,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,,102,9.0,14.0,5.0,16.0,555,Make Waffle Charts in Python.,6.0,20,False,,,5.0,pywaffle,conda-forge/pywaffle,,,,254.0,254.0,https://pypi.org/project/pywaffle,,,3212.0,3399.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10499.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,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,2017-05-10 17:14:37.000,5.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,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,,51,59.0,8.0,20.0,24.0,496,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,2021-09-05 22:57:16.000,1.0,463.0,463.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +741,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,2020-09-28 07:19:15.000,8.0,20865.0,20865.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +742,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,2018-12-19 10:27:54.000,2.0,31956.0,31956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-08-21 05:50:40.000000,2023-07-23 15:23:19,2231.0,2.0,40,11.0,11.0,11.0,49.0,461,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,20,True,2023-05-23 13:39:00.358,4.4.3,73.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,2022-05-04 16:40:08.000,5.0,1035.0,1037.0,,,,,,,,3.0,128.0,,,,,,,,,,,,,,,,,,, +744,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,,92,26.0,6.0,3.0,25.0,457,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,2022-06-01 23:08:15.000,2.0,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,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,2020-06-10 01:53:55.000,8.0,2977.0,2977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,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 10:47:15,2586.0,147.0,56,11.0,234.0,9.0,101.0,398,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,2022-04-12 08:56:50.000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,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,,25,10.0,9.0,2.0,9.0,360,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'],569.0,563.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,164787.0,164787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,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'],218.0,211.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,5024.0,5024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,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,,127,35.0,320.0,79.0,125.0,310,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,2020-10-15 20:45:08.000,1.0,111.0,120.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,870.0,3.0,,,,,,,,,,,,,,,,,,,, +750,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 12:43:22,678.0,10.0,48,27.0,76.0,12.0,23.0,288,A Python implementation of active inference for Markov Decision Processes.,14.0,20,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,2022-12-08 15:25:01.498,,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,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,2020-05-14 22:20:14.000,2.0,230155.0,230155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-08-24 07:24:46.000000,2023-08-24 07:24:45,601.0,55.0,21,4.0,240.0,3.0,,243,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,20,False,2023-08-23 05:59:08.000,1.1.183,468.0,upgini,,,,,1.0,1.0,https://pypi.org/project/upgini,2023-08-23 18:08:26.000,,3804.0,3804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,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,2022-04-19 23:43:38.000,,46770.0,46886.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3496.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,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 15:32:09.000000,2018-12-08 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 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,365.0,351.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,2730.0,2735.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,, +755,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-02-16 21:22:03.000000,2023-02-06 22:03:09,575.0,,19,19.0,463.0,90.0,76.0,223,Functional tensors for probabilistic programming.,11.0,20,False,2023-01-23 08:32:39.757,0.4.5,11.0,funsor,,,,['pytorch'],56.0,53.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,3.0,18656.0,18656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,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,,23,8.0,11.0,3.0,9.0,209,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,2023-01-03 08:08:01.830,2.0,39030.0,39030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,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 09:03:49,260.0,1.0,29,11.0,197.0,21.0,73.0,178,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],28.0,27.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1148.0,1148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,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,,408,110.0,83.0,67.0,48.0,2896,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 13:22:46.522,8410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,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,,254,33.0,18.0,27.0,37.0,2745,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,1266.0,1266.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-08-24 14:04:29.000000,2023-08-24 14:04:23,592.0,46.0,337,36.0,695.0,149.0,74.0,2432,Scenic: A Jax Library for Computer Vision Research and Beyond.,67.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,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.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],9.0,9.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,3698.0,3698.0,,,,,,,,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,,160,24.0,18.0,13.0,28.0,1439,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,2022-03-24 23:19:13.000,,55.0,56.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +763,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,,144,15.0,24.0,58.0,69.0,840,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,2020-05-14 10:03:56.000,1.0,394.0,394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,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,,156,19.0,41.0,21.0,58.0,822,"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,2020-12-01 06:21:33.000,3.0,251.0,454.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,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 22:12:53,449.0,2.0,71,25.0,157.0,41.0,60.0,745,,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,,,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,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,2019-08-08 01:24:38.000,2.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-08-22 17:29:11.000000,2023-08-22 17:29:08,1293.0,11.0,118,43.0,433.0,25.0,130.0,695,GPU accelerated signal processing.,46.0,19,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-07-04 06:28:41.000000,2023-07-04 06:28:40,291.0,2.0,57,24.0,45.0,9.0,16.0,680,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2022-10-05 05:02:01.602,0.2.15,21.0,evojax,conda-forge/evojax,,,['jax'],12.0,10.0,https://pypi.org/project/evojax,2022-10-05 05:02:01.602,2.0,563.0,1667.0,https://anaconda.org/conda-forge/evojax,2023-06-18 08:40:51.674,19881.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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,,52,30.0,12.0,11.0,15.0,626,Log TensorBoard events without touching TensorFlow.,5.0,19,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,190.0,138.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,52.0,5066.0,5066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,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,,143,35.0,79.0,14.0,55.0,583,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,2021-02-23 16:17:42.000,3.0,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,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 16:54:13,266.0,2.0,70,40.0,17.0,13.0,22.0,551,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/n2,2020-10-16 03:10:01.000,4.0,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,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,2017-04-17 10:56:52.000,3.0,326.0,326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,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,2022-02-16 06:14:54.000,,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,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,2020-10-05 06:20:52.000,2.0,193.0,418.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12153.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,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,2020-11-05 15:02:11.000,4.0,3218.0,3219.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,, +776,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 21:27:14,316.0,1.0,78,25.0,324.0,21.0,9.0,316,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,2022-12-13 19:06:03.653,,2262.0,2262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-08-24 14:40:41.000000,2023-08-23 15:36:05,390.0,36.0,69,24.0,402.0,31.0,51.0,258,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,30.0,19,False,2022-06-03 15:53:33.000,0.2.0,14.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-01-30 14:45:00.398,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,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,2020-03-10 14:09:31.000,3.0,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,,,8119.0,7947.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,172.0,345585.0,345622.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,933.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,6555,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,2018-02-17 00:12:46.000,,48.0,55.0,,,,,,,,3.0,295.0,,,,,,,,,,,,,,,,,,, +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,,865,108.0,51.0,42.0,159.0,6065,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],10.0,10.0,,,,,,,,,,,,,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,,730,119.0,33.0,27.0,7.0,6013,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,2020-04-18 19:06:59.000,2.0,662.0,662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,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,,71,22.0,1004.0,127.0,65.0,1633,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,2021-01-25 21:51:16.000,1.0,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,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,,250,57.0,65.0,8.0,31.0,1331,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,2018-12-05 02:48:50.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,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,,95,41.0,13.0,13.0,9.0,1261,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,False,,,,doc2text,,,,,101.0,101.0,https://pypi.org/project/doc2text,,,1952.0,1952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-07-25 22:19:06.000000,2023-07-25 22:18:57,423.0,2.0,177,61.0,7.0,13.0,29.0,952,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,18,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,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,2022-01-17 20:35:57.000,1.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,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,2022-04-27 12:56:30.000,2.0,780.0,780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,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,,36,13.0,13.0,8.0,16.0,733,"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 21:24:11.000,1.0,15.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],24.0,24.0,https://pypi.org/project/tensor-sensor,,,2329.0,2444.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2531.0,,,,,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,,82.0,605,"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,2022-08-16 12:44:30.642,,4247.0,4247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,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,2019-07-30 09:25:11.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,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,,62,11.0,10.0,21.0,41.0,498,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/fastt5,2022-04-05 03:23:12.000,,1426.0,1426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,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,,58,6.0,3.0,2.0,25.0,476,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,2022-08-24 08:33:00.976,1.0,2623.0,2623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,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,2022-04-22 15:42:03.000,,262.0,262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,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,,87,24.0,18.0,7.0,20.0,445,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,2021-11-25 23:19:05.000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,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,,48,18.0,7.0,16.0,4.0,439,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,2021-08-03 00:23:20.000,,4165.0,4165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,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,2020-12-28 15:13:44.000,5.0,5362.0,5362.0,,,,,,,,3.0,,9.0,,,,,,,,,,,,,,,,,, +798,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,2019-11-23 21:32:27.000,4.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-08-16 11:29:53.000000,2023-07-29 17:32:55,808.0,20.0,21,7.0,67.0,26.0,18.0,312,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,,,,7.0,7.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,236.0,960.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,18104.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,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,2019-03-05 01:35:23.000,11.0,2500.0,2500.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +801,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,2022-03-10 14:57:02.000,2.0,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,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,2022-01-18 23:07:16.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,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,,,,,,,,,,,,,,,,,,,, +804,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,,1028,119.0,24.0,9.0,352.0,4065,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,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,,259,52.0,13.0,20.0,13.0,1529,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,2018-10-18 02:54:09.000,,46.0,69.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1682.0,3.0,,,,,,,,,,,,,,,,,,,, +806,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,,142,17.0,11.0,25.0,18.0,1146,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'],47.0,45.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,742.0,742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,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,,,4784.0,4784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,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,,111,21.0,37.0,20.0,8.0,1031,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,2020-07-09 03:28:28.000,1.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,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,,145,45.0,5.0,2.0,7.0,930,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,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,,111,20.0,58.0,2.0,13.0,710,"A lightweight Computer Vision library. Scale your models, not boilerplate.",6.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,2459.0,2459.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,, +811,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,,52,13.0,10.0,22.0,17.0,703,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,,,,,27.0,27.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,3818.0,3818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,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,,83,25.0,4.0,36.0,42.0,673,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2019-05-07 08:47:56.000,0.3.2,3.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,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,2020-06-12 20:05:15.000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,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,,29,19.0,42.0,1.0,18.0,593,A graph-based functional API for building complex scikit-learn pipelines.,2.0,17,False,,,15.0,baikal,conda-forge/cython-blis,,,,8.0,8.0,https://pypi.org/project/baikal,,,147.0,55426.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1934767.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,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,2022-05-04 20:51:15.000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,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,,117,19.0,17.0,67.0,24.0,497,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,,,2860.0,2860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,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,,7.0,394,"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,2023-08-17 22:35:13.000,,891.0,891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-08-23 18:51:53.000000,2023-08-22 13:46:06,125.0,20.0,37,19.0,155.0,7.0,62.0,361,A collection of tools for neural compression enthusiasts.,9.0,17,True,2023-06-14 14:03:00.462,0.2.2,4.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2022-01-12 14:55:21.000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,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.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,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,,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,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,,18,14.0,271.0,70.0,175.0,294,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,17,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,8220.0,8220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,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,2021-05-15 01:39:45.000,,47.0,50.0,,,,,,,,3.0,143.0,,,,,,,,,,,,,,,,,,, +823,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,2020-10-01 13:18:38.000,,304.0,2624.0,https://anaconda.org/conda-forge/deepgraph,2023-06-16 13:21:31.322,167064.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,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,2018-03-15 09:05:47.000,,2081.0,2081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,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,2018-09-12 01:12:49.000,2.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,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,,33,14.0,36.0,8.0,44.0,222,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,21.0,19.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,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,2021-06-19 15:04:46.000,1.0,134.0,268.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2561.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,, +828,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-08-17 14:26:53.000000,2023-06-16 18:49:30,400.0,1.0,45,13.0,67.0,11.0,29.0,209,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,2022-02-08 01:23:07.000,1.0,6704.0,6704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,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,,539,178.0,110.0,54.0,149.0,3886,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,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,,944,60.0,12.0,42.0,25.0,3392,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,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,,560,141.0,28.0,217.0,102.0,2854,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,2019-04-10 01:53:45.000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,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,,115,18.0,295.0,4.0,62.0,1013,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,2021-04-15 09:35:06.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,2022-03-08 18:23:32.000,1.0,3651.0,3651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,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,,100,26.0,101.0,37.0,84.0,701,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,2018-06-14 02:21:57.000,1.0,73.0,79.0,,,,,,,,3.0,411.0,,,,,,,,,,,,,,,,,,, +835,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,,93,18.0,19.0,3.0,29.0,614,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,2022-03-15 07:18:47.000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,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,2020-08-19 15:39:10.000,,114.0,118.0,,,,,,,,3.0,220.0,,,,,,,vaticle/typedb-ml,,,,,,,,,,,, +837,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 21:46:06,256.0,2.0,69,22.0,86.0,19.0,15.0,484,"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,2020-09-12 19:41:23.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,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 21:56:30,277.0,1.0,73,14.0,126.0,14.0,136.0,440,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,2021-02-08 06:29:25.000,2.0,1012.0,1012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,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 11:06:21.000,2.407,21.0,explainx,,,,,,,https://pypi.org/project/explainx,,,2655.0,2655.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,, +840,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,,38,21.0,5.0,11.0,23.0,351,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,2017-03-30 10:51:26.000,2.0,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,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,2018-02-01 04:56:43.000,7.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,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,,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,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,2018-10-11 22:03:16.000,,4786.0,4786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,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,,20,5.0,2.0,15.0,23.0,181,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,2023-01-22 01:21:35.467,,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,2021-12-07 18:44:34.000,2.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,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,,38,1.0,,,,157,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,568.0,568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-08-24 10:13:19.000000,2023-08-24 10:05:07,820.0,11.0,16,8.0,163.0,14.0,20.0,145,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,2023-08-24 10:06:11.000,,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,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,2018-11-23 09:49:59.000,5.0,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,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,,947,99.0,27.0,16.0,352.0,3511,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,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,,423,143.0,72.0,12.0,53.0,2186,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,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,,165,61.0,10.0,26.0,6.0,1822,"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,2019-04-05 06:47:54.000,,19.0,19.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +852,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,,464,81.0,36.0,83.0,68.0,1660,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,15,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,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,,483,67.0,26.0,5.0,96.0,1647,An Open-Source Package for Network Embedding (NE).,11.0,15,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,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,,105,57.0,34.0,21.0,13.0,1267,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,20.0,xcessiv,,,,,1.0,1.0,https://pypi.org/project/xcessiv,,,10.0,10.0,,,,,,,,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,,294,53.0,19.0,42.0,85.0,1218,"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,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,,49.0,59.0,1147,GraphVite: A General and High-performance Graph Embedding System.,,15,False,,,4.0,,milagraph/graphvite,,,,,,,,,,96.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4654.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,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,,209,40.0,39.0,56.0,34.0,1079,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,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,,110,28.0,108.0,9.0,22.0,948,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,2020-12-23 08:05:25.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,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,,121,51.0,21.0,15.0,9.0,819,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,2018-11-24 00:29:36.000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,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,,183,44.0,667.0,11.0,27.0,801,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,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,,107,27.0,10.0,24.0,51.0,757,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,,,1480.0,1480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,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,,88,17.0,15.0,9.0,22.0,713,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,False,2020-05-29 14:39:38.000,0.1.3,5.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,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,,40,26.0,4.0,4.0,2.0,664,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,2020-01-06 05:27:17.000,2.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,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,,50,17.0,83.0,18.0,49.0,536,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,2022-05-18 08:35:04.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,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,,86,21.0,18.0,22.0,2.0,491,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,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,,84,37.0,47.0,5.0,12.0,402,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,2020-02-18 06:52:11.000,1.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,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,2021-10-22 03:19:11.000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,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,2018-08-29 15:14:41.000,1.0,38.0,186.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5505.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,818,77.0,34.0,116.0,59.0,3119,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,,475,110.0,12.0,39.0,8.0,2639,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,,170,38.0,10.0,13.0,3.0,1307,A web app to generate template code for machine learning.,3.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,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,2021-10-21 21:43:04.000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,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,,15,11.0,6.0,9.0,6.0,297,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,2021-03-08 12:51:05.000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,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,2021-04-20 13:53:12.000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,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,,33,8.0,72.0,20.0,8.0,225,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,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,,25,8.0,16.0,4.0,6.0,189,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,2020-12-03 14:17:09.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,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,,,,,,,,,,,,,,,,,,,, +878,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,,71,46.0,4.0,1.0,,2335,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,2022-08-09 04:22:00.465,,1729.0,1732.0,,,,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +879,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,,395,63.0,6.0,62.0,17.0,1680,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,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,,66,20.0,167.0,87.0,17.0,375,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,2021-12-07 01:57:31.000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,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,2020-04-17 02:50:25.000,2.0,989.0,989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,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 17:32:42.000000,2020-05-28 17:31:53,465.0,,19,12.0,57.0,3.0,20.0,291,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,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 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-08-23 23:32:44.000000,2021-08-01 07:11:57,363.0,,12,5.0,1189.0,4.0,10.0,125,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,2019-04-09 10:41:20.000,,93.0,104.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,,, +885,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,,,125,Data Analysis Baseline Library.,23.0,13,False,,,,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,,,1622.0,1622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,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,2019-06-10 21:04:04.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,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,2022-10-07 09:58:11.751,,751.0,751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,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,2021-01-25 04:56:57.000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,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,,46,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,2020-12-14 14:49:33.000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,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,,301,87.0,11.0,12.0,6.0,1620,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,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 18:33:56,62.0,1.0,40,11.0,7.0,2.0,11.0,610,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,12,True,,,,rliable`,,,,,84.0,84.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,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,2020-04-09 01:48:32.000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-24 13:00:24.000000,2023-08-23 13:28:09,30.0,17.0,43,13.0,10.0,7.0,9.0,435,Library for Textless Spoken Language Processing.,7.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,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 13:38:50,71.0,1.0,57,17.0,57.0,6.0,9.0,433,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,12,True,,,,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,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.,3.0,12,False,,,,nx-altair,,,,['jupyter'],,,https://pypi.org/project/nx-altair,,,763.0,763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,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.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,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,2019-10-23 15:40:12.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,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,2021-06-25 14:27:32.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,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,,,,,,,,,,,,,,,,,,,, +900,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,,112,47.0,13.0,7.0,20.0,952,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,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,,143,40.0,7.0,15.0,14.0,911,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-01-20 01:26:45.000000,2022-11-21 12:12:41,1044.0,,10,6.0,25.0,1.0,2.0,245,Maze Applied Reinforcement Learning Framework.,3.0,11,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,2021-12-13 16:04:42.000,,63.0,71.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,240.0,3.0,,,,,,,,,,,,,,,,,,,, +903,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,,41,17.0,7.0,2.0,13.0,231,Easy training and deployment of seq2seq models.,2.0,11,False,,,,headliner,,,,,4.0,4.0,https://pypi.org/project/headliner,,,180.0,180.0,,,,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,, +904,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.,6.0,11,False,2021-03-16 17:47:18.000,1.0.0,1.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,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,2021-04-22 15:20:54.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,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.,3.0,11,False,,,,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,70,18.0,5.0,2.0,12.0,493,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,2020-07-16 05:36:19.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,2020-01-26 23:08:16.000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,2020-03-13 20:31:47.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,,,,48,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,2022-11-22 17:50:34.944,1.0,10.0,10.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +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,2020-11-02 02:25:32.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 79fcae04..eef255f2 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._ -- Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 -- Plotly (πŸ₯‡39 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT -- CuPy (πŸ₯‡38 Β· ⭐ 7.1K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT -- Tokenizers (πŸ₯‡37 Β· ⭐ 7.4K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- ivy (πŸ₯ˆ36 Β· ⭐ 13K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 -- category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 -- mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ“ˆ) - Python package for AutoML on Tabular Data with Feature.. MIT -- TFX (πŸ₯ˆ31 Β· ⭐ 2K Β· πŸ“ˆ) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- litellm (πŸ₯‰24 Β· ⭐ 580 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s -- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- 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 ## 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._ -- torchvision (πŸ₯‡38 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- InsightFace (πŸ₯ˆ32 Β· ⭐ 17K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed -- tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ“‰) - A library for transfer learning by reusing parts of.. Apache-2 -- opencv-python (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- Tesseract (πŸ₯‰27 Β· ⭐ 5K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- DeepSpeech (πŸ₯‰24 Β· ⭐ 22K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Augmentor (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ“‰) - Image augmentation library in Python for machine learning. MIT -- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed -- TensorForce (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ“‰) - Tensorforce: a TensorFlow library for applied.. Apache-2 -- sklearn-evaluation (πŸ₯‰9 Β· ⭐ 1 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- 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