From e5b7b2458366316a8095d6714314f661bcd1354a Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 16 May 2024 15:44:29 +0000 Subject: [PATCH] Update best-of list for version 2024.05.16 --- README.md | 2453 +++++++++++++++---------------- history/2024-05-16_changes.md | 30 + history/2024-05-16_projects.csv | 918 ++++++++++++ latest-changes.md | 40 +- 4 files changed, 2191 insertions(+), 1250 deletions(-) create mode 100644 history/2024-05-16_changes.md create mode 100644 history/2024-05-16_projects.csv diff --git a/README.md b/README.md index 3fe855e..87e5758 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 5% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 6% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/tensorflow/tensorflow @@ -114,14 +114,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 09.05.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 16.05.2024): ``` docker pull tensorflow/tensorflow ```
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PyTorch (πŸ₯‡55 Β· ⭐ 78K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡55 Β· ⭐ 79K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 21K Β· πŸ“₯ 40K Β· πŸ“¦ 440K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 21K Β· πŸ“₯ 41K Β· πŸ“¦ 450K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pytorch/pytorch @@ -135,9 +135,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
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scikit-learn (πŸ₯‡50 Β· ⭐ 58K Β· πŸ“‰) - scikit-learn: machine learning in Python. BSD-3 +
scikit-learn (πŸ₯‡52 Β· ⭐ 58K Β· πŸ“ˆ) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“‹ 11K - 18% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“¦ 780K Β· πŸ“‹ 11K - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/scikit-learn/scikit-learn @@ -153,7 +153,7 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡48 Β· ⭐ 61K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/keras-team/keras @@ -167,14 +167,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
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jax (πŸ₯‡46 Β· ⭐ 28K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
PySpark (πŸ₯‡45 Β· ⭐ 39K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 2.6K Β· πŸ“¦ 25K Β· πŸ“‹ 5.5K - 30% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 16.05.2024): + + ``` + git clone https://github.com/apache/spark + ``` +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 29M / month Β· πŸ“¦ 1.4K Β· ⏱️ 18.04.2024): + ``` + pip install pyspark + ``` +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.1M Β· ⏱️ 03.03.2024): + ``` + conda install -c conda-forge pyspark + ``` +
+
jax (πŸ₯‡45 Β· ⭐ 28K Β· πŸ“‰) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 + +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 2.6K Β· πŸ“¦ 25K Β· πŸ“‹ 5.4K - 29% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.5K Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.7M / month Β· πŸ“¦ 1.5K Β· ⏱️ 09.05.2024): ``` pip install jax ``` @@ -183,69 +199,69 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge jaxlib ```
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PySpark (πŸ₯‡45 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 +
XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.6K Β· πŸ“¦ 91K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/apache/spark + git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 29M / month Β· πŸ“¦ 1.4K Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 19M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): ``` - pip install pyspark + pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.1M Β· ⏱️ 03.03.2024): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.8M Β· ⏱️ 18.04.2024): ``` - conda install -c conda-forge pyspark + conda install -c conda-forge xgboost ```
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5.1K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5.1K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 270K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 260K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): ``` pip install paddlepaddle ```
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pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 +
StatsModels (πŸ₯‡45 Β· ⭐ 9.6K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 32K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/Lightning-AI/lightning + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 3.9K Β· ⏱️ 17.04.2024): ``` - pip install pytorch-lightning + pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 14.12.2023): ``` - conda install -c conda-forge pytorch-lightning + conda install -c conda-forge statsmodels ```
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StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 32K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 15.05.2024): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 3.9K Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 01.05.2024): ``` - pip install statsmodels + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): ``` - conda install -c conda-forge statsmodels + conda install -c conda-forge pytorch-lightning ```
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 33K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 33K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/microsoft/LightGBM @@ -259,25 +275,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
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XGBoost (πŸ₯ˆ42 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 - -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.5K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 08.05.2024): - - ``` - git clone https://github.com/dmlc/xgboost - ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 19M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): - ``` - pip install xgboost - ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.7M Β· ⏱️ 18.04.2024): - ``` - conda install -c conda-forge xgboost - ``` -
Catboost (πŸ₯ˆ41 Β· ⭐ 7.8K) - 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“₯ 250K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 250K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/catboost/catboost @@ -305,12 +305,12 @@ _General-purpose machine learning and deep learning frameworks._
Jina (πŸ₯ˆ39 Β· ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.9K - 1% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.9K - 1% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 36K / month Β· πŸ“¦ 27 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 38K / month Β· πŸ“¦ 27 Β· ⏱️ 10.04.2024): ``` pip install jina ``` @@ -318,47 +318,47 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 10.04.2024): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 16.05.2024): ``` docker pull jinaai/jina ```
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Flax (πŸ₯ˆ39 Β· ⭐ 5.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
Flax (πŸ₯ˆ39 Β· ⭐ 5.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 50 Β· πŸ“¦ 7.2K Β· πŸ“‹ 920 - 23% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 51 Β· πŸ“¦ 7.3K Β· πŸ“‹ 930 - 23% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 4M / month Β· πŸ“¦ 390 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 4.2M / month Β· πŸ“¦ 390 Β· ⏱️ 30.04.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 48K Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 49K Β· ⏱️ 30.04.2024): ``` conda install -c conda-forge flax ```
PyFlink (πŸ₯ˆ38 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 16.05.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 65K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 77K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): ``` pip install apache-flink ```
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Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“‰) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
Theano (πŸ₯ˆ38 Β· ⭐ 9.9K) - 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“¦ 15K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 530K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 570K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -367,32 +367,32 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ```
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Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT +
ivy (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 47K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 23.04.2024): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/explosion/thinc - ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.1M / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): - ``` - pip install thinc + git clone https://github.com/unifyai/ivy ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.8M Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1.1K / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): ``` - conda install -c conda-forge thinc + pip install ivy ```
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ivy (πŸ₯ˆ35 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 +
Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 47K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 23.04.2024): ``` - git clone https://github.com/unifyai/ivy + git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 920 / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.6M / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): ``` - pip install ivy + pip install thinc + ``` +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.8M Β· ⏱️ 11.05.2024): + ``` + conda install -c conda-forge thinc ```
Ludwig (πŸ₯ˆ34 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 @@ -402,19 +402,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.3K / month Β· πŸ“¦ 9 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 08.04.2024): ``` pip install ludwig ```
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 100K / month Β· πŸ“¦ 38 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 86K / month Β· πŸ“¦ 38 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` @@ -425,12 +425,12 @@ _General-purpose machine learning and deep learning frameworks._
einops (πŸ₯ˆ34 Β· ⭐ 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 340 Β· πŸ“¦ 34K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 34K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.2M / month Β· πŸ“¦ 1.7K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.5M / month Β· πŸ“¦ 1.7K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -439,36 +439,36 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge einops ```
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mlpack (πŸ₯ˆ34 Β· ⭐ 4.8K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 610 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 10.05.2024): ``` - git clone https://github.com/mlpack/mlpack + git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5.3K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 300K / month Β· πŸ“¦ 84 Β· ⏱️ 16.05.2024): ``` - pip install mlpack + pip install pytorch-ignite ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 180K Β· ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 180K Β· ⏱️ 01.04.2024): ``` - conda install -c conda-forge mlpack + conda install -c pytorch ignite ```
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Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 +
mlpack (πŸ₯‰33 Β· ⭐ 4.8K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 610 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/pytorch/ignite + git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 250K / month Β· πŸ“¦ 81 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): ``` - pip install pytorch-ignite + pip install mlpack ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 180K Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 180K Β· ⏱️ 29.11.2023): ``` - conda install -c pytorch ignite + conda install -c conda-forge mlpack ```
Sonnet (πŸ₯‰32 Β· ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2 @@ -478,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 36K / month Β· πŸ“¦ 20 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 31K / month Β· πŸ“¦ 20 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` @@ -494,7 +494,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 13K / month Β· πŸ“¦ 18 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 14K / month Β· πŸ“¦ 18 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ``` @@ -515,53 +515,41 @@ _General-purpose machine learning and deep learning frameworks._ pip install dyNET ```
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Determined (πŸ₯‰31 Β· ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2 - -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.9K Β· πŸ“‹ 460 - 26% open Β· ⏱️ 08.05.2024): - - ``` - git clone https://github.com/determined-ai/determined - ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 62K / month Β· πŸ“¦ 4 Β· ⏱️ 08.05.2024): - ``` - pip install determined - ``` -
Haiku (πŸ₯‰31 Β· ⭐ 2.8K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“¦ 1.8K Β· πŸ“‹ 240 - 28% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“¦ 1.9K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 210K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 160 Β· ⏱️ 28.02.2024): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 16K Β· ⏱️ 28.02.2024): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 17K Β· ⏱️ 28.02.2024): ``` conda install -c conda-forge dm-haiku ```
Geomstats (πŸ₯‰31 Β· ⭐ 1.2K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.9K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.4K Β· ⏱️ 30.08.2023): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.5K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge geomstats ```
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream @@ -571,20 +559,16 @@ _General-purpose machine learning and deep learning frameworks._ pip install tensorflow-rocm ```
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skorch (πŸ₯‰30 Β· ⭐ 5.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
Determined (πŸ₯‰30 Β· ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 380 Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 11% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 8K Β· πŸ“‹ 460 - 26% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/skorch-dev/skorch - ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 76 Β· ⏱️ 04.09.2023): - ``` - pip install skorch + git clone https://github.com/determined-ai/determined ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 780K Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 53K / month Β· πŸ“¦ 4 Β· ⏱️ 10.05.2024): ``` - conda install -c conda-forge skorch + pip install determined ```
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 @@ -594,19 +578,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): ``` pip install ktrain ```
+
skorch (πŸ₯‰29 Β· ⭐ 5.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 + +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 380 Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 11% open Β· ⏱️ 25.04.2024): + + ``` + git clone https://github.com/skorch-dev/skorch + ``` +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 77 Β· ⏱️ 04.09.2023): + ``` + pip install skorch + ``` +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 780K Β· ⏱️ 06.09.2023): + ``` + conda install -c conda-forge skorch + ``` +
Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.4K / month Β· πŸ“¦ 44 Β· ⏱️ 06.12.2023): ``` pip install nnabla ``` @@ -618,23 +618,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 7.2K / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 5.4K / month Β· ⏱️ 19.11.2023): ``` pip install evadb ```
pyRiemann (πŸ₯‰27 Β· ⭐ 590) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 45K / month Β· πŸ“¦ 26 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 42K / month Β· πŸ“¦ 26 Β· ⏱️ 10.04.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.6K Β· ⏱️ 10.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.7K Β· ⏱️ 10.04.2024): ``` conda install -c conda-forge pyriemann ``` @@ -657,7 +657,7 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (πŸ₯‰26 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/google/neural-tangents @@ -674,7 +674,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 8.9K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 11K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -694,33 +694,33 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 700 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 720 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ```
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ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
NeoML (πŸ₯‰23 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 230 - 34% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/Xtra-Computing/thundersvm + git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 780 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 410 / month Β· ⏱️ 26.12.2023): ``` - pip install thundersvm + pip install neoml ```
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NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 +
ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 230 - 34% open Β· ⏱️ 01.04.2024): ``` - git clone https://github.com/neoml-lib/neoml + git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 400 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 810 / month Β· ⏱️ 13.03.2020): ``` - pip install neoml + pip install thundersvm ```
Torchbearer (πŸ₯‰22 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT @@ -730,26 +730,26 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 720 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 780 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ```
Objax (πŸ₯‰21 Β· ⭐ 760) - Objax is a machine learning framework that provides an Object.. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 52 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 53 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 600 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 650 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ```
chefboost (πŸ₯‰20 Β· ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 99 Β· πŸ“¦ 53 Β· πŸ“‹ 46 - 10% open Β· ⏱️ 26.12.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 99 Β· πŸ“¦ 53 Β· πŸ“‹ 47 - 12% open Β· ⏱️ 26.12.2023): ``` git clone https://github.com/serengil/chefboost @@ -766,7 +766,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 310 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 280 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -787,7 +787,7 @@ _General-purpose machine learning and deep learning frameworks._ - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT -- nanodl (πŸ₯‰14 Β· ⭐ 250) - A Jax-based library for designing and training transformer models from.. MIT +- nanodl (πŸ₯‰15 Β· ⭐ 260) - A Jax-based library for designing and training transformer models from.. MIT

@@ -797,30 +797,30 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡50 Β· ⭐ 19K) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 44K Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 44K Β· ⏱️ 15.05.2024): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 23M Β· ⏱️ 06.05.2024): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 24M Β· ⏱️ 06.05.2024): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 87K Β· πŸ“‹ 7.7K - 10% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 88K Β· πŸ“‹ 7.7K - 10% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.6K Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.6K Β· ⏱️ 08.05.2024): ``` pip install bokeh ``` @@ -831,7 +831,7 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡44 Β· ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“¦ 260K Β· πŸ“‹ 2.9K - 51% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“¦ 270K Β· πŸ“‹ 2.9K - 51% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/plotly/plotly.py @@ -840,18 +840,18 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.7M Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.8M Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 9.9K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 10K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Seaborn (πŸ₯‡43 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 390 Β· πŸ“¦ 400K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 390 Β· πŸ“¦ 410K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/mwaskom/seaborn @@ -860,19 +860,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.6M Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.7M Β· ⏱️ 30.04.2024): ``` conda install -c conda-forge seaborn ```
dash (πŸ₯‡42 Β· ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 72 Β· πŸ“¦ 63K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 72 Β· πŸ“¦ 63K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): ``` pip install dash ``` @@ -881,14 +881,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dash ```
-
Altair (πŸ₯‡41 Β· ⭐ 8.9K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯‡41 Β· ⭐ 9K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 24M / month Β· πŸ“¦ 750 Β· ⏱️ 30.03.2024): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 24M / month Β· πŸ“¦ 760 Β· ⏱️ 30.03.2024): ``` pip install altair ``` @@ -899,12 +899,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 88 Β· πŸ“¦ 3.1K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 96 Β· πŸ“¦ 3.1K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 730K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 760K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -915,12 +915,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 420K / month Β· πŸ“¦ 360 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 440K / month Β· πŸ“¦ 360 Β· ⏱️ 23.04.2024): ``` pip install holoviews ``` @@ -928,19 +928,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 300 / month Β· πŸ“¦ 5 Β· ⏱️ 22.03.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 260 / month Β· πŸ“¦ 5 Β· ⏱️ 22.03.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.4K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.5K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 910 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 920 Β· ⏱️ 29.04.2024): ``` pip install pyqtgraph ``` @@ -951,7 +951,7 @@ _General-purpose and task-specific data visualization libraries._
Graphviz (πŸ₯ˆ37 Β· ⭐ 1.6K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 65K Β· πŸ“‹ 180 - 7% open Β· ⏱️ 21.03.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 66K Β· πŸ“‹ 180 - 7% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/xflr6/graphviz @@ -967,76 +967,76 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 44 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 45 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 170K / month Β· πŸ“¦ 250 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 180K / month Β· πŸ“¦ 190 Β· ⏱️ 03.03.2024): ``` pip install pyecharts ```
FiftyOne (πŸ₯ˆ36 Β· ⭐ 6.8K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 560 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 570 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 63K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 62K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): ``` pip install fiftyone ```
plotnine (πŸ₯ˆ36 Β· ⭐ 3.8K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.5K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.6K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3M / month Β· πŸ“¦ 260 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.1M / month Β· πŸ“¦ 260 Β· ⏱️ 09.05.2024): ``` pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 360K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 360K Β· ⏱️ 10.05.2024): ``` conda install -c conda-forge plotnine ```
PyVista (πŸ₯ˆ36 Β· ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 440 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 260K / month Β· πŸ“¦ 470 Β· ⏱️ 04.05.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 270K / month Β· πŸ“¦ 470 Β· ⏱️ 14.05.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 470K Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 470K Β· ⏱️ 14.05.2024): ``` conda install -c conda-forge pyvista ```
VisPy (πŸ₯ˆ35 Β· ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 620 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 620 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 98K / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 95K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 480K Β· ⏱️ 15.03.2024): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 490K Β· ⏱️ 15.03.2024): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 12 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ``` @@ -1052,7 +1052,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install cartopy ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.5M Β· ⏱️ 11.04.2024): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.6M Β· ⏱️ 11.04.2024): ``` conda install -c conda-forge cartopy ``` @@ -1064,11 +1064,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.8M / month Β· πŸ“¦ 490 Β· ⏱️ 09.12.2023): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 09.12.2023): ``` pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 470K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 480K Β· ⏱️ 19.03.2024): ``` conda install -c conda-forge wordcloud ``` @@ -1080,7 +1080,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.2M / month Β· πŸ“¦ 830 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 830 Β· ⏱️ 03.04.2024): ``` pip install umap-learn ``` @@ -1091,32 +1091,32 @@ _General-purpose and task-specific data visualization libraries._
datashader (πŸ₯ˆ33 Β· ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 4K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 19.04.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 4.1K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 100K / month Β· πŸ“¦ 180 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 110K / month Β· πŸ“¦ 180 Β· ⏱️ 19.04.2024): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 850K Β· ⏱️ 23.04.2024): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 870K Β· ⏱️ 23.04.2024): ``` conda install -c conda-forge datashader ```
Perspective (πŸ₯ˆ31 Β· ⭐ 7.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 990 Β· πŸ“₯ 2.6K Β· πŸ“¦ 120 Β· πŸ“‹ 750 - 13% open Β· ⏱️ 04.05.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 1K Β· πŸ“₯ 2.6K Β· πŸ“¦ 120 Β· πŸ“‹ 750 - 13% open Β· ⏱️ 04.05.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.5K / month Β· πŸ“¦ 22 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.8K / month Β· πŸ“¦ 22 Β· ⏱️ 25.03.2024): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 590K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge perspective ``` @@ -1125,14 +1125,30 @@ _General-purpose and task-specific data visualization libraries._ npm install @finos/perspective-jupyterlab ```
+
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.6K) - Visualizer for pandas data structures. ❗️LGPL-2.1 + +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“¦ 1.1K Β· πŸ“‹ 570 - 10% open Β· ⏱️ 30.04.2024): + + ``` + git clone https://github.com/man-group/dtale + ``` +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 56K / month Β· πŸ“¦ 39 Β· ⏱️ 30.04.2024): + ``` + pip install dtale + ``` +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 280K Β· ⏱️ 30.04.2024): + ``` + conda install -c conda-forge dtale + ``` +
mpld3 (πŸ₯ˆ31 Β· ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.9K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 6K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 460K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 480K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1140,31 +1156,31 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 960 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 920 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 660 Β· πŸ“¦ 74 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 660 Β· πŸ“¦ 75 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 23K / month Β· πŸ“¦ 8 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 25K / month Β· πŸ“¦ 8 Β· ⏱️ 25.04.2024): ``` pip install lets-plot ```
-
hvPlot (πŸ₯ˆ31 Β· ⭐ 950) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (πŸ₯ˆ31 Β· ⭐ 960) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 5K Β· πŸ“‹ 750 - 44% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 5K Β· πŸ“‹ 760 - 44% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 200K / month Β· πŸ“¦ 170 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 210K / month Β· πŸ“¦ 170 Β· ⏱️ 06.05.2024): ``` pip install hvplot ``` @@ -1173,22 +1189,6 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hvplot ```
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D-Tale (πŸ₯‰30 Β· ⭐ 4.6K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“¦ 1.1K Β· πŸ“‹ 580 - 11% open Β· ⏱️ 30.04.2024): - - ``` - git clone https://github.com/man-group/dtale - ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 51K / month Β· πŸ“¦ 190 Β· ⏱️ 30.04.2024): - ``` - pip install dtale - ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 280K Β· ⏱️ 30.04.2024): - ``` - conda install -c conda-forge dtale - ``` -
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 25.03.2024): @@ -1211,7 +1211,7 @@ _General-purpose and task-specific data visualization libraries._
data-validation (πŸ₯‰30 Β· ⭐ 750) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 650 Β· πŸ“¦ 880 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 170 Β· πŸ“₯ 650 Β· πŸ“¦ 890 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/tensorflow/data-validation @@ -1228,42 +1228,42 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 260K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 280K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ```
AutoViz (πŸ₯‰28 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 670 Β· πŸ“‹ 90 - 1% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 680 Β· πŸ“‹ 90 - 1% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 49K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 50K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge autoviz ```
HyperTools (πŸ₯‰27 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 32 Β· πŸ“¦ 410 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 34 Β· πŸ“¦ 410 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/ContextLab/hypertools ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): ``` pip install hypertools ```
-
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 950) - Visualize large time series data with plotly.py. MIT +
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 960) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 62 Β· πŸ“¦ 1.1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 63 Β· πŸ“¦ 1.1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): ``` git clone https://github.com/predict-idlab/plotly-resampler @@ -1272,7 +1272,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 39K Β· ⏱️ 29.03.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 40K Β· ⏱️ 29.03.2024): ``` conda install -c conda-forge plotly-resampler ``` @@ -1284,7 +1284,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 20K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 20K / month Β· πŸ“¦ 9 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1300,7 +1300,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 68K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 69K / month Β· πŸ“¦ 29 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1316,7 +1316,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 24 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 43 Β· ⏱️ 29.11.2023): ``` pip install opentsne ``` @@ -1348,7 +1348,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 39K / month Β· πŸ“¦ 29 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 38K / month Β· πŸ“¦ 29 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1364,11 +1364,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.5K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.4K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 34K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 35K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ``` @@ -1380,7 +1380,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 14K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2023): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 17K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2023): ``` pip install vega ``` @@ -1396,7 +1396,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 21K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 23K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` pip install pdpbox ``` @@ -1412,7 +1412,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ``` @@ -1424,21 +1424,21 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ```
Show 14 hidden projects... -- missingno (πŸ₯‰30 Β· ⭐ 3.8K Β· πŸ’€) - Missing data visualization module for Python. MIT +- missingno (πŸ₯‰29 Β· ⭐ 3.8K Β· πŸ’€) - Missing data visualization module for Python. MIT - Cufflinks (πŸ₯‰29 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT -- pythreejs (πŸ₯‰27 Β· ⭐ 920 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 +- pythreejs (πŸ₯‰27 Β· ⭐ 930 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 - pivottablejs (πŸ₯‰23 Β· ⭐ 670 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 540 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT -- vegafusion (πŸ₯‰21 Β· ⭐ 290) - Serverside scaling for Vega and Altair visualizations. BSD-3 +- vegafusion (πŸ₯‰21 Β· ⭐ 300) - Serverside scaling for Vega and Altair visualizations. BSD-3 - PyWaffle (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - Make Waffle Charts in Python. MIT - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT @@ -1454,14 +1454,14 @@ _General-purpose and task-specific data visualization libraries._ _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._ -
transformers (πŸ₯‡51 Β· ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +
transformers (πŸ₯‡52 Β· ⭐ 130K Β· πŸ“ˆ) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 170K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 170K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 27M / month Β· πŸ“¦ 5K Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 28M / month Β· πŸ“¦ 5K Β· ⏱️ 06.05.2024): ``` pip install transformers ``` @@ -1472,12 +1472,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spaCy (πŸ₯‡44 Β· ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 88K Β· πŸ“‹ 5.6K - 1% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 88K Β· πŸ“‹ 5.6K - 2% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 10M / month Β· πŸ“¦ 2.4K Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 12M / month Β· πŸ“¦ 2.4K Β· ⏱️ 22.04.2024): ``` pip install spacy ``` @@ -1486,21 +1486,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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litellm (πŸ₯‡42 Β· ⭐ 8.7K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯‡42 Β· ⭐ 8.9K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 960 Β· πŸ“₯ 240 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.3K - 25% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 980 Β· πŸ“₯ 240 Β· πŸ“¦ 1.8K Β· πŸ“‹ 2.3K - 24% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 570K / month Β· πŸ“¦ 170 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 580K / month Β· πŸ“¦ 170 Β· ⏱️ 16.05.2024): ``` pip install litellm ```
sentence-transformers (πŸ₯‡41 Β· ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 32K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 33K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/UKPLab/sentence-transformers @@ -1509,7 +1509,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 240K Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 250K Β· ⏱️ 17.04.2024): ``` conda install -c conda-forge sentence-transformers ``` @@ -1521,7 +1521,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 21M / month Β· πŸ“¦ 4.1K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 22M / month Β· πŸ“¦ 4.1K Β· ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1542,6 +1542,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install rasa ```
+
Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 + +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 730 Β· πŸ“₯ 47 Β· πŸ“¦ 77K Β· πŸ“‹ 960 - 8% open Β· ⏱️ 06.05.2024): + + ``` + git clone https://github.com/huggingface/tokenizers + ``` +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 26M / month Β· πŸ“¦ 740 Β· ⏱️ 17.04.2024): + ``` + pip install tokenizers + ``` +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.6M Β· ⏱️ 18.04.2024): + ``` + conda install -c conda-forge tokenizers + ``` +
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.3K Β· πŸ“₯ 4.6K Β· πŸ“¦ 59K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): @@ -1553,7 +1569,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.2M Β· ⏱️ 08.02.2024): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.3M Β· ⏱️ 08.02.2024): ``` conda install -c conda-forge gensim ``` @@ -1565,7 +1581,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 170K / month Β· πŸ“¦ 99 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 210K / month Β· πŸ“¦ 130 Β· ⏱️ 18.12.2023): ``` pip install flair ``` @@ -1574,25 +1590,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge python-flair ```
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Tokenizers (πŸ₯‡39 Β· ⭐ 8.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 730 Β· πŸ“₯ 47 Β· πŸ“¦ 76K Β· πŸ“‹ 940 - 8% open Β· ⏱️ 06.05.2024): - - ``` - git clone https://github.com/huggingface/tokenizers - ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 25M / month Β· πŸ“¦ 740 Β· ⏱️ 17.04.2024): - ``` - pip install tokenizers - ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.6M Β· ⏱️ 18.04.2024): - ``` - conda install -c conda-forge tokenizers - ``` -
sentencepiece (πŸ₯‡38 Β· ⭐ 9.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 64K Β· πŸ“‹ 720 - 3% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.1K Β· πŸ“₯ 37K Β· πŸ“¦ 65K Β· πŸ“‹ 720 - 3% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/google/sentencepiece @@ -1601,19 +1601,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 780K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 790K Β· ⏱️ 19.03.2024): ``` conda install -c conda-forge sentencepiece ```
TextBlob (πŸ₯‡37 Β· ⭐ 9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 38K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 39K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1M / month Β· πŸ“¦ 330 Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.1M / month Β· πŸ“¦ 330 Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1624,43 +1624,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (πŸ₯ˆ36 Β· ⭐ 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 240 Β· πŸ“‹ 3.2K - 6% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 250 Β· πŸ“‹ 3.3K - 5% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
NeMo (πŸ₯ˆ36 Β· ⭐ 10K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 170K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 170K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 50K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 51K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): ``` pip install nemo-toolkit ```
spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 420 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 430 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 33 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 36 Β· ⏱️ 05.04.2024): ``` pip install spark-nlp ```
fairseq (πŸ₯ˆ35 Β· ⭐ 29K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.2K Β· πŸ“₯ 330 Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.3K - 28% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.2K Β· πŸ“₯ 330 Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fairseq @@ -1669,14 +1669,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 65K Β· ⏱️ 03.12.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 66K Β· ⏱️ 03.12.2023): ``` conda install -c conda-forge fairseq ```
OpenNMT (πŸ₯ˆ35 Β· ⭐ 6.6K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 270 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 270 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py @@ -1693,35 +1693,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 670K / month Β· πŸ“¦ 260 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 700K / month Β· πŸ“¦ 260 Β· ⏱️ 24.04.2024): ``` pip install torchtext ```
fastText (πŸ₯ˆ34 Β· ⭐ 26K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 5.9K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 6K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 220 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“₯ 78K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 79K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge fasttext ```
stanza (πŸ₯ˆ34 Β· ⭐ 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.7K Β· πŸ“‹ 880 - 10% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.8K Β· πŸ“‹ 880 - 10% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 220K / month Β· πŸ“¦ 170 Β· ⏱️ 20.04.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 20.04.2024): ``` pip install stanza ``` @@ -1737,19 +1737,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.2M / month Β· πŸ“¦ 200 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.5M / month Β· πŸ“¦ 200 Β· ⏱️ 11.03.2024): ``` pip install tensorflow-text ```
rubrix (πŸ₯ˆ33 Β· ⭐ 3.1K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 920 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.1K / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1760,7 +1760,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ32 Β· ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 32K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 35K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/qdrant/qdrant @@ -1773,7 +1773,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 13.03.2024): ``` pip install deeppavlov ``` @@ -1794,18 +1794,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge ftfy ```
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jellyfish (πŸ₯ˆ31 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT +
jellyfish (πŸ₯ˆ32 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.8K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 28.03.2024): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.9K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 28.03.2024): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3.2M / month Β· πŸ“¦ 240 Β· ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3.5M / month Β· πŸ“¦ 240 Β· ⏱️ 17.11.2023): ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 840K Β· ⏱️ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 850K Β· ⏱️ 17.11.2023): ``` conda install -c conda-forge jellyfish ``` @@ -1817,14 +1817,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ```
Dedupe (πŸ₯ˆ30 Β· ⭐ 4K) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 540 Β· πŸ“¦ 320 Β· πŸ“‹ 810 - 9% open Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 540 Β· πŸ“¦ 330 Β· πŸ“‹ 810 - 9% open Β· ⏱️ 19.12.2023): ``` git clone https://github.com/dedupeio/dedupe @@ -1833,7 +1833,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 48K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ``` @@ -1856,12 +1856,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 880 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 890 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 27K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): ``` pip install scispacy ``` @@ -1873,16 +1873,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 240K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 32K Β· ⏱️ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 33K Β· ⏱️ 19.12.2023): ``` conda install -c conda-forge spacy-transformers ```
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snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720 Β· πŸ“‰) - Snowball compiler and stemming algorithms. BSD-3 +
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 5 Β· πŸ“‹ 88 - 30% open Β· ⏱️ 02.05.2024): @@ -1900,28 +1900,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (πŸ₯ˆ29 Β· ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 520 Β· πŸ“¦ 2.7K Β· πŸ“‹ 120 - 16% open Β· ⏱️ 24.02.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 520 Β· πŸ“¦ 2.7K Β· πŸ“‹ 120 - 17% open Β· ⏱️ 24.02.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 390K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 420K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
CLTK (πŸ₯ˆ28 Β· ⭐ 820) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.1K / month Β· πŸ“¦ 15 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.2K / month Β· πŸ“¦ 15 Β· ⏱️ 12.05.2024): ``` pip install cltk ``` @@ -1933,7 +1933,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 47K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 48K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1944,19 +1944,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (πŸ₯‰27 Β· ⭐ 3K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 720 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 750 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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scattertext (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ“ˆ) - Beautiful visualizations of how language differs among.. Apache-2 +
scattertext (πŸ₯‰26 Β· ⭐ 2.2K) - 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“¦ 540 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 550 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/JasonKessler/scattertext @@ -1972,60 +1972,60 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyTextRank (πŸ₯‰26 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 640 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 640 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 43K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): ``` pip install pytextrank ```
OpenPrompt (πŸ₯‰25 Β· ⭐ 4.2K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 120 Β· πŸ“‹ 250 - 30% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 430 Β· πŸ“¦ 120 Β· πŸ“‹ 260 - 33% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
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pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 +
promptsource (πŸ₯‰24 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“¦ 680 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 340 Β· πŸ“¦ 93 Β· πŸ“‹ 190 - 22% open Β· ⏱️ 23.10.2023): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.9K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 590 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): ``` - pip install pytorch-nlp + pip install promptsource ```
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promptsource (πŸ₯‰24 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 +
pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 340 Β· πŸ“¦ 92 Β· πŸ“‹ 190 - 22% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“¦ 680 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 400 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 7.3K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` - pip install promptsource + pip install pytorch-nlp ```
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detoxify (πŸ₯‰24 Β· ⭐ 840) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰24 Β· ⭐ 850) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 470K Β· πŸ“¦ 590 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 480K Β· πŸ“¦ 590 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 25K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 29K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): ``` pip install detoxify ``` @@ -2037,7 +2037,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 40K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -2049,50 +2049,50 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 9.5K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 8.8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install texthero ```
Sockeye (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 18 Β· πŸ“‹ 310 - 2% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 18 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.7K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
fast-bert (πŸ₯‰22 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 62% open Β· ⏱️ 30.01.2024): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 30.01.2024): ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.5K / month Β· ⏱️ 30.01.2024): ``` pip install fast-bert ```
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happy-transformer (πŸ₯‰22 Β· ⭐ 500) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰22 Β· ⭐ 510) - 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”€ 64 Β· πŸ“¦ 250 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 65 Β· πŸ“¦ 250 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.8K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
UForm (πŸ₯‰21 Β· ⭐ 900) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 51 Β· πŸ“₯ 240 Β· πŸ“¦ 6 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 51 Β· πŸ“₯ 260 Β· πŸ“¦ 6 Β· πŸ“‹ 24 - 20% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/unum-cloud/uform @@ -2104,28 +2104,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
finetune (πŸ₯‰21 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 27.03.2024): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 80 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 27.03.2024): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 250 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 290 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ```
small-text (πŸ₯‰21 Β· ⭐ 520) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 28 Β· πŸ“‹ 52 - 32% open Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 28 Β· πŸ“‹ 52 - 28% open Β· ⏱️ 29.12.2023): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 750 / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 690 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.8K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.9K Β· ⏱️ 29.12.2023): ``` conda install -c conda-forge small-text ``` @@ -2137,39 +2137,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
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textaugment (πŸ₯‰18 Β· ⭐ 370) - TextAugment: Text Augmentation Library. MIT +
textaugment (πŸ₯‰18 Β· ⭐ 380) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 67 Β· πŸ“¦ 93 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 69 Β· πŸ“¦ 93 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.7K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ```
OpenNRE (πŸ₯‰17 Β· ⭐ 4.3K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT -- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 1K Β· πŸ“¦ 3 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 1.1K Β· πŸ“¦ 3 Β· πŸ“‹ 370 - 4% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/thunlp/OpenNRE ```
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TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT +
TextBox (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 6 Β· πŸ“‹ 72 - 4% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 2 / month Β· ⏱️ 15.04.2021): ``` pip install textbox ``` @@ -2181,7 +2181,7 @@ _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“₯ 100 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -2193,24 +2193,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9.1K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - Data augmentation for NLP. MIT - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- english-words (πŸ₯ˆ28 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- english-words (πŸ₯‰27 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense -- polyglot (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - textacy (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - underthesea (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - sense2vec (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT - pySBD (πŸ₯‰25 Β· ⭐ 730 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- whoosh (πŸ₯‰25 Β· ⭐ 530 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- whoosh (πŸ₯‰25 Β· ⭐ 540 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 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - FARM (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 +- YouTokenToMe (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - stop-words (πŸ₯‰23 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DeepMatcher (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT @@ -2218,22 +2219,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 -- YouTokenToMe (πŸ₯‰21 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - anaGo (πŸ₯‰20 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 - fastT5 (πŸ₯‰19 Β· ⭐ 540 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textpipe (πŸ₯‰19 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - numerizer (πŸ₯‰19 Β· ⭐ 210 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- nboost (πŸ₯‰18 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy -- nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - skift (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 820 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· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT -- ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 +- ONNX-T5 (πŸ₯‰13 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - textvec (πŸ₯‰13 Β· ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 100 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2247,12 +2247,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.7M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 97M / month Β· πŸ“¦ 4.1K Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 97M / month Β· πŸ“¦ 4.2K Β· ⏱️ 01.04.2024): ``` pip install Pillow ``` @@ -2261,9 +2261,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡42 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡42 Β· ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/pytorch/vision @@ -2272,23 +2272,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1.1M Β· ⏱️ 26.02.2024): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1.1M Β· ⏱️ 16.05.2024): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 30K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.5M Β· πŸ“¦ 28K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 04.05.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.6M Β· πŸ“¦ 28K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.1M / month Β· πŸ“¦ 710 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.1M / month Β· πŸ“¦ 730 Β· ⏱️ 15.05.2024): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 150K Β· ⏱️ 21.02.2024): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 150K Β· ⏱️ 16.05.2024): ``` conda install -c conda-forge timm ``` @@ -2307,12 +2307,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (πŸ₯‡38 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 930 - 45% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 940 - 45% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 2.1M / month Β· πŸ“¦ 500 Β· ⏱️ 04.05.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 2.1M / month Β· πŸ“¦ 510 Β· ⏱️ 04.05.2024): ``` pip install albumentations ``` @@ -2321,9 +2321,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge albumentations ```
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Kornia (πŸ₯‡38 Β· ⭐ 9.4K) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
Kornia (πŸ₯‡38 Β· ⭐ 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.7K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.8K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/kornia/kornia @@ -2339,12 +2339,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MoviePy (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ’€) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 38K Β· πŸ“‹ 1.5K - 28% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 39K Β· πŸ“‹ 1.5K - 28% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 780 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 790 Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2355,7 +2355,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯ˆ37 Β· ⭐ 10K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.8K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.8K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/serengil/deepface @@ -2367,12 +2367,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (πŸ₯ˆ37 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 130K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 130K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 23M / month Β· πŸ“¦ 2.2K Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 22M / month Β· πŸ“¦ 2.2K Β· ⏱️ 22.04.2024): ``` pip install imageio ``` @@ -2388,7 +2388,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 400K / month Β· πŸ“¦ 20 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 390K / month Β· πŸ“¦ 20 Β· ⏱️ 17.12.2022): ``` pip install insightface ``` @@ -2400,7 +2400,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 9.2K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 9.3K Β· ⏱️ 31.12.2023): ``` pip install opencv-python ``` @@ -2421,18 +2421,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
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Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT +
Wand (πŸ₯ˆ34 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 46K Β· πŸ“¦ 19K Β· πŸ“‹ 420 - 6% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 790K / month Β· πŸ“¦ 230 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 810K / month Β· πŸ“¦ 240 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 44K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 45K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ``` @@ -2444,31 +2444,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.4K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.3K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
lightly (πŸ₯ˆ31 Β· ⭐ 2.8K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 19% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 16.05.2024): ``` pip install lightly ```
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 450 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 460 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 11 Β· ⏱️ 11.05.2024): ``` pip install vit-pytorch ``` @@ -2480,18 +2480,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.6K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 8.2K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge imageai ```
sahi (πŸ₯ˆ30 Β· ⭐ 3.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 520 Β· πŸ“₯ 24K Β· πŸ“¦ 1.1K Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 530 Β· πŸ“₯ 24K Β· πŸ“¦ 1.1K Β· ⏱️ 25.04.2024): ``` git clone https://github.com/obss/sahi @@ -2512,7 +2512,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.6M / month Β· πŸ“¦ 210 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.7M / month Β· πŸ“¦ 210 Β· ⏱️ 28.09.2022): ``` pip install ImageHash ``` @@ -2521,14 +2521,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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doctr (πŸ₯‰29 Β· ⭐ 3.1K Β· πŸ“‰) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
doctr (πŸ₯‰29 Β· ⭐ 3.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 360 Β· πŸ“₯ 2.9M Β· πŸ“‹ 330 - 9% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 360 Β· πŸ“₯ 2.9M Β· πŸ“‹ 340 - 9% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 30K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 31K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): ``` pip install python-doctr ``` @@ -2568,19 +2568,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 80K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 79K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
facenet-pytorch (πŸ₯‰28 Β· ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 950K Β· πŸ“¦ 1.8K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 970K Β· πŸ“¦ 1.8K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 59K / month Β· πŸ“¦ 30 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 66K / month Β· πŸ“¦ 30 Β· ⏱️ 29.04.2024): ``` pip install facenet-pytorch ``` @@ -2592,19 +2592,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 17K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 17K / month Β· πŸ“¦ 13 Β· ⏱️ 10.09.2023): ``` pip install vidgear ```
CellProfiler (πŸ₯‰27 Β· ⭐ 860) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“₯ 6.8K Β· πŸ“¦ 20 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“₯ 6.9K Β· πŸ“¦ 20 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2616,31 +2616,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 84K / month Β· πŸ“¦ 23 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 95K / month Β· πŸ“¦ 23 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
Norfair (πŸ₯‰26 Β· ⭐ 2.3K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“₯ 300 Β· πŸ“¦ 180 Β· πŸ“‹ 160 - 10% open Β· ⏱️ 30.01.2024): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“₯ 310 Β· πŸ“¦ 180 Β· πŸ“‹ 160 - 10% open Β· ⏱️ 30.01.2024): ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 17K / month Β· πŸ“¦ 4 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
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ffcv (πŸ₯‰25 Β· ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
ffcv (πŸ₯‰25 Β· ⭐ 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 170 Β· πŸ“¦ 44 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ``` @@ -2652,15 +2652,27 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 42K / month Β· πŸ“¦ 55 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 43K / month Β· πŸ“¦ 73 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 81K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 82K Β· ⏱️ 28.04.2024): ``` conda install -c conda-forge pyvips ```
+
tensorflow-graphics (πŸ₯‰24 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 + +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 13.03.2024): + + ``` + git clone https://github.com/tensorflow/graphics + ``` +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 40K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): + ``` + pip install tensorflow-graphics + ``` +
kubric (πŸ₯‰24 Β· ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 04.04.2024): @@ -2668,7 +2680,7 @@ _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“₯ 6.4K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 7.4K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2680,31 +2692,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
-
tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 13.03.2024): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 53K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): - ``` - pip install tensorflow-graphics - ``` -
-
vissl (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ“ˆ) - VISSL is FAIRs library of extensible, modular and scalable.. MIT +
vissl (πŸ₯‰22 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 39 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 180 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2716,7 +2716,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 40 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 42 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2728,7 +2728,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 1.1K / month Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 1.2K / month Β· ⏱️ 05.09.2020): ``` pip install pycls ``` @@ -2753,9 +2753,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well - scikit-image (πŸ₯‡42 Β· ⭐ 5.9K) - Image processing in Python. ❗Unlicensed - glfw (πŸ₯‡38 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - Face Recognition (πŸ₯ˆ32 Β· ⭐ 52K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed +- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯ˆ30 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰28 Β· ⭐ 4.5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 @@ -2775,7 +2775,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well - detecto (πŸ₯‰20 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT - Caer (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- Torch Points 3D (πŸ₯‰16 Β· ⭐ 190 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 +- Torch Points 3D (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰15 Β· ⭐ 190 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface

@@ -2788,7 +2788,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 68 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 71 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/networkx/networkx @@ -2804,7 +2804,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric @@ -2820,12 +2820,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (πŸ₯‡38 Β· ⭐ 13K) - 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’» 290 Β· πŸ”€ 3K Β· πŸ“¦ 240 Β· πŸ“‹ 2.8K - 18% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3K Β· πŸ“¦ 240 Β· πŸ“‹ 2.8K - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 95K / month Β· πŸ“¦ 130 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 100K / month Β· πŸ“¦ 130 Β· ⏱️ 13.05.2024): ``` pip install dgl ``` @@ -2837,7 +2837,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ``` @@ -2849,19 +2849,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.8K / month Β· πŸ“¦ 6 Β· ⏱️ 30.04.2024): ``` pip install graphistry ```
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Spektral (πŸ₯ˆ28 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT +
Spektral (πŸ₯ˆ29 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 290 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 21.01.2024): ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7.5K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 8.6K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): ``` pip install spektral ``` @@ -2873,11 +2873,11 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 34K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 31K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 32K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ogb ``` @@ -2889,7 +2889,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ``` @@ -2901,7 +2901,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): ``` pip install pgl ``` @@ -2925,7 +2925,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 600K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 610K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): ``` pip install torchbiggraph ``` @@ -2937,7 +2937,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 30K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 27K / month Β· πŸ“¦ 27 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -2948,12 +2948,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
torch-cluster (πŸ₯‰23 Β· ⭐ 760) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 140 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 51 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -2969,7 +2969,7 @@ _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“₯ 350 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 330 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -2981,7 +2981,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 480 / month Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 440 / month Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -2993,47 +2993,39 @@ _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“₯ 130 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 140 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
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OpenKE (πŸ₯‰15 Β· ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). MIT +
AutoGL (πŸ₯‰15 Β· ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 980 Β· πŸ“‹ 380 - 7% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): ``` - git clone https://github.com/thunlp/OpenKE + git clone https://github.com/THUMNLab/AutoGL ``` -
-
OpenNE (πŸ₯‰14 Β· ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE). MIT - -- [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 480 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 10.01.2024): - +- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020): ``` - git clone https://github.com/thunlp/OpenNE + pip install auto-graph-learning ```
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AutoGL (πŸ₯‰14 Β· ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 +
OpenNE (πŸ₯‰14 Β· ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE). MIT -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 490 Β· πŸ“‹ 110 - 9% open Β· ⏱️ 10.01.2024): ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 1 / month Β· ⏱️ 23.12.2020): - ``` - pip install auto-graph-learning + git clone https://github.com/thunlp/OpenNE ```
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Show 17 hidden projects... +
Show 18 hidden projects... - igraph (πŸ₯‡33 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ29 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ26 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (πŸ₯ˆ25 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- jraph (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- jraph (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - DIG (πŸ₯‰21 Β· ⭐ 1.8K) - A library for graph deep learning research. ❗️GPL-3.0 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 @@ -3045,6 +3037,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - ptgnn (πŸ₯‰15 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.3K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - GraphVite (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 +- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ“‰) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

@@ -3054,31 +3047,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡39 Β· ⭐ 7.9K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡38 Β· ⭐ 8K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.5M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.1M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): ``` pip install speechbrain ```
espnet (πŸ₯‡38 Β· ⭐ 7.9K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 2.4K - 13% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 77K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 74K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): ``` pip install espnet ```
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Coqui TTS (πŸ₯‡35 Β· ⭐ 30K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
Coqui TTS (πŸ₯‡36 Β· ⭐ 30K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.5K Β· πŸ“₯ 2.2M Β· πŸ“¦ 1.2K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): @@ -3089,12 +3082,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install tts ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 11K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 12K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tts ```
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SpeechRecognition (πŸ₯‡35 Β· ⭐ 8.1K) - Speech recognition module for Python, supporting several.. BSD-3 +
SpeechRecognition (πŸ₯ˆ35 Β· ⭐ 8.1K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 640 - 50% open Β· ⏱️ 05.05.2024): @@ -3110,32 +3103,32 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ```
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librosa (πŸ₯‡35 Β· ⭐ 6.7K) - Python library for audio and music analysis. ISC +
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 630 Β· πŸ“‹ 940 - 23% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/librosa/librosa - ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 02.05.2024): - ``` - pip install librosa + git clone https://github.com/pytorch/audio ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 740K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.7M / month Β· πŸ“¦ 1.1K Β· ⏱️ 24.04.2024): ``` - conda install -c conda-forge librosa + pip install torchaudio ```
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torchaudio (πŸ₯‡35 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 +
librosa (πŸ₯ˆ34 Β· ⭐ 6.7K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 630 Β· πŸ“‹ 940 - 23% open Β· ⏱️ 24.03.2024): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 6M / month Β· πŸ“¦ 1K Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.05.2024): ``` - pip install torchaudio + pip install librosa + ``` +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 740K Β· ⏱️ 15.05.2024): + ``` + conda install -c conda-forge librosa ```
Magenta (πŸ₯ˆ33 Β· ⭐ 19K Β· πŸ’€) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 @@ -3152,7 +3145,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
spleeter (πŸ₯ˆ31 Β· ⭐ 25K Β· πŸ’€) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 700 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 710 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3161,7 +3154,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 81K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 82K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge spleeter ``` @@ -3173,7 +3166,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 8.3K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 8.2K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): ``` pip install pvporcupine ``` @@ -3185,14 +3178,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 23K / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 22K / month Β· πŸ“¦ 13 Β· ⏱️ 15.03.2024): ``` pip install audiomentations ```
audioread (πŸ₯ˆ30 Β· ⭐ 480) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 20K Β· πŸ“‹ 94 - 39% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 21K Β· πŸ“‹ 94 - 39% open Β· ⏱️ 15.12.2023): ``` git clone https://github.com/beetbox/audioread @@ -3213,7 +3206,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 11K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ``` @@ -3232,12 +3225,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
tinytag (πŸ₯‰26 Β· ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 28K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 29K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): ``` pip install tinytag ``` @@ -3249,7 +3242,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3258,14 +3251,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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python-soundfile (πŸ₯‰25 Β· ⭐ 660) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯‰25 Β· ⭐ 670) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“₯ 18K Β· πŸ“‹ 250 - 46% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.2M / month Β· πŸ“¦ 610 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.1M / month Β· πŸ“¦ 620 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3274,7 +3267,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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nnAudio (πŸ₯‰21 Β· ⭐ 960) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (πŸ₯‰22 Β· ⭐ 960) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 90 Β· πŸ“¦ 180 Β· πŸ“‹ 62 - 29% open Β· ⏱️ 13.02.2024): @@ -3296,16 +3289,16 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 11 hidden projects... -- Pydub (πŸ₯‡35 Β· ⭐ 8.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- Pydub (πŸ₯ˆ35 Β· ⭐ 8.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - DeepSpeech (πŸ₯ˆ33 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - Essentia (πŸ₯‰28 Β· ⭐ 2.7K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰27 Β· ⭐ 3.2K) - a library for audio and music analysis. ❗️GPL-3.0 -- TTS (πŸ₯‰26 Β· ⭐ 8.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- TTS (πŸ₯‰26 Β· ⭐ 8.9K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.3K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰21 Β· ⭐ 400 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- TimeSide (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- TimeSide (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC

@@ -3318,16 +3311,16 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡44 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.6K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.4M / month Β· πŸ“¦ 87 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.5M / month Β· πŸ“¦ 87 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 510K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 520K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydeck ``` @@ -3338,12 +3331,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡40 Β· ⭐ 6.7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.2M / month Β· πŸ“¦ 630 Β· ⏱️ 29.02.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.2M / month Β· πŸ“¦ 640 Β· ⏱️ 29.02.2024): ``` pip install folium ``` @@ -3354,12 +3347,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (πŸ₯‡40 Β· ⭐ 4.2K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 35K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 35K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.4M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.3M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.04.2024): ``` pip install geopandas ``` @@ -3368,14 +3361,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geopandas ```
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Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K Β· πŸ“ˆ) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 560 Β· πŸ“₯ 3.3K Β· πŸ“¦ 68K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 560 Β· πŸ“₯ 3.3K Β· πŸ“¦ 69K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 24M / month Β· πŸ“¦ 2.5K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 25M / month Β· πŸ“¦ 2.5K Β· ⏱️ 16.04.2024): ``` pip install shapely ``` @@ -3384,36 +3377,36 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge shapely ```
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Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K Β· πŸ“ˆ) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 8% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 13.05.2024): ``` - git clone https://github.com/rasterio/rasterio + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.6M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 190 Β· ⏱️ 16.04.2024): ``` - pip install rasterio + pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 2.9M Β· ⏱️ 13.04.2024): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.5M Β· ⏱️ 08.03.2024): ``` - conda install -c conda-forge rasterio + conda install -c conda-forge fiona ```
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Fiona (πŸ₯ˆ37 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 +
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 8% open Β· ⏱️ 10.05.2024): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 110 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.04.2024): ``` - pip install fiona + pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.5M Β· ⏱️ 08.03.2024): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3M Β· ⏱️ 13.04.2024): ``` - conda install -c conda-forge fiona + conda install -c conda-forge rasterio ```
pyproj (πŸ₯ˆ35 Β· ⭐ 990) - Python interface to PROJ (cartographic projections and coordinate.. MIT @@ -3427,19 +3420,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.5M Β· ⏱️ 01.05.2024): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.6M Β· ⏱️ 01.05.2024): ``` conda install -c conda-forge pyproj ```
ArcGIS API (πŸ₯ˆ34 Β· ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 750 Β· πŸ“‹ 710 - 10% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 750 Β· πŸ“‹ 730 - 9% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 75K / month Β· πŸ“¦ 36 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 69K / month Β· πŸ“¦ 36 Β· ⏱️ 03.05.2024): ``` pip install arcgis ``` @@ -3448,29 +3441,29 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT +
ipyleaflet (πŸ₯ˆ34 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.7K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.9K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 14.05.2024): ``` pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 24.04.2024): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 14.05.2024): ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 9.4K / month Β· πŸ“¦ 9 Β· ⏱️ 23.04.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 9.8K / month Β· πŸ“¦ 9 Β· ⏱️ 13.05.2024): ``` npm install jupyter-leaflet ```
geopy (πŸ₯‰32 Β· ⭐ 4.3K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 41 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 42 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy @@ -3491,7 +3484,7 @@ _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“₯ 22K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 24K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): ``` pip install pysal ``` @@ -3507,7 +3500,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.8M / month Β· πŸ“¦ 620 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.7M / month Β· πŸ“¦ 620 Β· ⏱️ 05.11.2023): ``` pip install geojson ``` @@ -3523,7 +3516,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 12K / month Β· πŸ“¦ 56 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 13K / month Β· πŸ“¦ 56 Β· ⏱️ 05.04.2024): ``` pip install geoviews ``` @@ -3539,23 +3532,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` -- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 76K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge earthpy ```
-
pymap3d (πŸ₯‰24 Β· ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 +
pymap3d (πŸ₯‰25 Β· ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 390 Β· πŸ“‹ 56 - 12% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 400 Β· πŸ“‹ 56 - 12% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 130K / month Β· πŸ“¦ 42 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 140K / month Β· πŸ“¦ 42 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` @@ -3566,12 +3559,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... -- Geocoder (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰31 Β· ⭐ 1K Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Geocoder (πŸ₯‰33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Satpy (πŸ₯‰31 Β· ⭐ 1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰25 Β· ⭐ 960) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - Mapbox GL (πŸ₯‰24 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT +- prettymaps (πŸ₯‰23 Β· ⭐ 11K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 -- prettymaps (πŸ₯‰22 Β· ⭐ 11K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT

@@ -3589,7 +3582,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.5M / month Β· πŸ“¦ 360 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.5M / month Β· πŸ“¦ 540 Β· ⏱️ 16.04.2024): ``` pip install yfinance ``` @@ -3600,35 +3593,35 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (πŸ₯ˆ30 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.5K Β· πŸ“₯ 400 Β· πŸ“¦ 21 Β· πŸ“‹ 900 - 24% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.5K Β· πŸ“₯ 580 Β· πŸ“¦ 21 Β· πŸ“‹ 900 - 24% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.2K / month Β· πŸ“¦ 1 Β· ⏱️ 07.05.2024): ``` pip install pyqlib ```
ta (πŸ₯ˆ30 Β· ⭐ 4.1K) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 840 Β· πŸ“¦ 3.3K Β· πŸ“‹ 240 - 56% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 840 Β· πŸ“¦ 3.4K Β· πŸ“‹ 240 - 56% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 110K / month Β· πŸ“¦ 89 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 120K / month Β· πŸ“¦ 89 Β· ⏱️ 02.11.2023): ``` pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 25K Β· ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 26K Β· ⏱️ 02.11.2023): ``` conda install -c conda-forge ta ```
ffn (πŸ₯ˆ30 Β· ⭐ 1.8K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 280 Β· πŸ“¦ 450 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 280 Β· πŸ“¦ 460 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pmorissette/ffn @@ -3644,12 +3637,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 540 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 550 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 31K / month Β· πŸ“¦ 33 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` @@ -3665,7 +3658,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.2K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): ``` pip install bt ``` @@ -3676,12 +3669,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (πŸ₯‰26 Β· ⭐ 2.7K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 690 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 700 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 31K / month Β· πŸ“¦ 28 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 31K / month Β· πŸ“¦ 40 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3709,7 +3702,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 210 / month Β· ⏱️ 01.01.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 270 / month Β· ⏱️ 01.01.2024): ``` pip install finmarketpy ``` @@ -3721,7 +3714,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3733,7 +3726,7 @@ _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“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3749,8 +3742,8 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - TensorTrade (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 +- Backtesting.py (πŸ₯‰23 Β· ⭐ 4.9K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - PyAlgoTrade (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 4.7K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.7K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0 @@ -3763,14 +3756,14 @@ _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· ⭐ 7.4K) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡39 Β· ⭐ 7.5K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 87 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 91 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 36% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 930K / month Β· πŸ“¦ 110 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 920K / month Β· πŸ“¦ 110 Β· ⏱️ 01.05.2024): ``` pip install sktime ``` @@ -3786,7 +3779,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 820K / month Β· πŸ“¦ 89 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 810K / month Β· πŸ“¦ 89 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3797,28 +3790,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 860 Β· πŸ“‹ 310 - 29% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 250 Β· πŸ“¦ 870 Β· πŸ“‹ 310 - 30% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 560K / month Β· πŸ“¦ 30 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 580K / month Β· πŸ“¦ 55 Β· ⏱️ 08.04.2024): ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 66K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 67K Β· ⏱️ 08.04.2024): ``` conda install -c conda-forge statsforecast ```
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Darts (πŸ₯ˆ33 Β· ⭐ 7.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
Darts (πŸ₯ˆ33 Β· ⭐ 7.4K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 800 Β· πŸ“¦ 600 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 800 Β· πŸ“¦ 610 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 23K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 22K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): ``` pip install u8darts ``` @@ -3826,7 +3819,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 570 Β· ⏱️ 17.04.2024): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 580 Β· ⏱️ 17.04.2024): ``` docker pull unit8/darts ``` @@ -3838,7 +3831,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 120K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 140K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): ``` pip install neuralprophet ``` @@ -3852,11 +3845,27 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` - [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 73 Β· ⏱️ 28.01.2024): ``` - pip install tsfresh + pip install tsfresh + ``` +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 28.01.2024): + ``` + conda install -c conda-forge tsfresh + ``` +
+
STUMPY (πŸ₯ˆ31 Β· ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 + +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 740 Β· πŸ“‹ 480 - 11% open Β· ⏱️ 16.05.2024): + + ``` + git clone https://github.com/TDAmeritrade/stumpy + ``` +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 21.08.2023): + ``` + pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.3M Β· ⏱️ 28.01.2024): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 980K Β· ⏱️ 21.08.2023): ``` - conda install -c conda-forge tsfresh + conda install -c conda-forge stumpy ```
tslearn (πŸ₯ˆ31 Β· ⭐ 2.8K) - The machine learning toolkit for time series analysis in Python. BSD-2 @@ -3866,7 +3875,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 340K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 350K / month Β· πŸ“¦ 71 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3877,12 +3886,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 2.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 140 Β· πŸ“‹ 460 - 21% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 150 Β· πŸ“‹ 470 - 21% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 31K / month Β· πŸ“¦ 16 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 35K / month Β· πŸ“¦ 16 Β· ⏱️ 07.05.2024): ``` pip install neuralforecast ``` @@ -3893,7 +3902,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8K Β· πŸ“‹ 330 - 17% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8.1K Β· πŸ“‹ 330 - 17% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/alkaline-ml/pmdarima @@ -3914,7 +3923,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 300K / month Β· πŸ“¦ 27 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 280K / month Β· πŸ“¦ 27 Β· ⏱️ 02.02.2024): ``` pip install gluonts ``` @@ -3923,30 +3932,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c anaconda gluonts ```
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STUMPY (πŸ₯ˆ30 Β· ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 740 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 01.04.2024): - - ``` - git clone https://github.com/TDAmeritrade/stumpy - ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 230K / month Β· πŸ“¦ 16 Β· ⏱️ 21.08.2023): - ``` - pip install stumpy - ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 980K Β· ⏱️ 21.08.2023): - ``` - conda install -c conda-forge stumpy - ``` -
-
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.6K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (πŸ₯ˆ28 Β· ⭐ 3.6K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 580 Β· πŸ“‹ 760 - 62% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 50K / month Β· πŸ“¦ 16 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 48K / month Β· πŸ“¦ 16 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -3955,42 +3948,42 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ```
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skforecast (πŸ₯‰28 Β· ⭐ 910) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯ˆ28 Β· ⭐ 930) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 48K / month Β· πŸ“¦ 11 Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 49K / month Β· πŸ“¦ 11 Β· ⏱️ 05.05.2024): ``` pip install skforecast ```
uber/orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 54 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 55 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 22K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.5K Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.8K Β· ⏱️ 01.04.2024): ``` conda install -c conda-forge orbit-ml ```
pyts (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 590 Β· πŸ“‹ 78 - 55% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 600 Β· πŸ“‹ 78 - 55% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 110K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 120K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` pip install pyts ``` @@ -4001,12 +3994,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
TSFEL (πŸ₯‰24 Β· ⭐ 860) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 120 Β· πŸ“‹ 69 - 4% open Β· ⏱️ 27.03.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 120 Β· πŸ“‹ 69 - 4% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 22K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): ``` pip install tsfel ``` @@ -4035,14 +4028,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install luminol ```
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tsflex (πŸ₯‰21 Β· ⭐ 360) - Flexible time series feature extraction & processing. MIT +
tsflex (πŸ₯‰21 Β· ⭐ 370) - Flexible time series feature extraction & processing. MIT -- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 13 Β· πŸ“‹ 52 - 57% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 13 Β· πŸ“‹ 52 - 57% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` pip install tsflex ``` @@ -4051,14 +4044,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
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Auto TS (πŸ₯‰19 Β· ⭐ 670) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰20 Β· ⭐ 680) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 87 - 1% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 88 - 1% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 7K / month Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 8.3K / month Β· ⏱️ 05.05.2024): ``` pip install auto-ts ``` @@ -4070,7 +4063,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 23K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ``` @@ -4078,10 +4071,10 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 9 hidden projects... - Streamz (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 -- PyFlux (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 +- PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - tick (πŸ₯‰22 Β· ⭐ 470 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - seglearn (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- ADTK (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 +- ADTK (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰15 Β· ⭐ 510 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰14 Β· ⭐ 340 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 @@ -4097,7 +4090,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 11% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/mne-tools/mne-python @@ -4113,12 +4106,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯‡37 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 69K / month Β· πŸ“¦ 270 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 65K / month Β· πŸ“¦ 270 Β· ⏱️ 09.04.2024): ``` pip install nilearn ``` @@ -4127,7 +4120,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nilearn ```
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NiBabel (πŸ₯ˆ36 Β· ⭐ 620) - Python package to access a cacophony of neuro-imaging file formats. MIT +
NiBabel (πŸ₯ˆ36 Β· ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 19K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 06.05.2024): @@ -4145,12 +4138,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯ˆ35 Β· ⭐ 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.2K Β· πŸ“‹ 3K - 11% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.2K Β· πŸ“‹ 3K - 11% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 160K / month Β· πŸ“¦ 89 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 150K / month Β· πŸ“¦ 93 Β· ⏱️ 10.05.2024): ``` pip install monai ``` @@ -4182,7 +4175,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 510K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 520K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` @@ -4193,24 +4186,24 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 940) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 42K / month Β· πŸ“¦ 20 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 40K / month Β· πŸ“¦ 30 Β· ⏱️ 10.04.2024): ``` pip install hail ```
DeepVariant (πŸ₯‰26 Β· ⭐ 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 690 Β· πŸ“₯ 4.7K Β· πŸ“‹ 760 - 1% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 690 Β· πŸ“₯ 4.7K Β· πŸ“‹ 760 - 0% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 64K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ``` @@ -4222,7 +4215,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 140 / month Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 130 / month Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4233,9 +4226,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... -- DIPY (πŸ₯ˆ33 Β· ⭐ 670) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed +- DIPY (πŸ₯ˆ33 Β· ⭐ 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed +- NiftyNet (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰24 Β· ⭐ 550) - Medical image processing in Python. ❗️GPL-3.0 -- NiftyNet (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (πŸ₯‰23 Β· ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - Glow (πŸ₯‰23 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 @@ -4259,23 +4252,23 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): ``` pip install pytorch_tabular ```
miceforest (πŸ₯ˆ22 Β· ⭐ 310) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 130 Β· πŸ“‹ 82 - 26% open Β· ⏱️ 27.04.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 140 Β· πŸ“‹ 82 - 26% open Β· ⏱️ 27.04.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 38K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): ``` pip install miceforest ``` -- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 12K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 13K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge miceforest ``` @@ -4287,7 +4280,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 280 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 360 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4307,19 +4300,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.6K Β· πŸ“‹ 9K - 13% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.6K Β· πŸ“‹ 9.2K - 13% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 150K / month Β· πŸ“¦ 46 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 170K / month Β· πŸ“¦ 46 Β· ⏱️ 29.03.2024): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡35 Β· ⭐ 22K Β· πŸ’€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 11M Β· πŸ“¦ 6.2K Β· πŸ“‹ 970 - 39% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 11M Β· πŸ“¦ 6.4K Β· πŸ“‹ 970 - 39% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR @@ -4331,16 +4324,16 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.2K Β· πŸ“¦ 810 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.3K Β· πŸ“¦ 820 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 100K / month Β· πŸ“¦ 23 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 100K / month Β· πŸ“¦ 24 Β· ⏱️ 16.04.2024): ``` pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 64K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ocrmypdf ``` @@ -4352,7 +4345,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 66K / month Β· πŸ“¦ 34 Β· ⏱️ 27.04.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 68K / month Β· πŸ“¦ 34 Β· ⏱️ 27.04.2024): ``` pip install tesserocr ``` @@ -4361,9 +4354,9 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
-
Tesseract (πŸ₯ˆ31 Β· ⭐ 5.5K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (πŸ₯ˆ31 Β· ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 700 Β· πŸ“‹ 360 - 4% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 700 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/madmaze/pytesseract @@ -4384,19 +4377,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.3K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.8K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
-
keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT +
keras-ocr (πŸ₯‰25 Β· ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT - [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 330 Β· πŸ“₯ 1.2M Β· πŸ“¦ 470 Β· ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 31K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 41K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4412,7 +4405,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 320 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 300 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ``` @@ -4424,7 +4417,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` pip install calamari_ocr ``` @@ -4443,7 +4436,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag _General-purpose data containers & structures as well as utilities & extensions for pandas._ -πŸ”— best-of-python - Data Containers ( ⭐ 3.4K) - Collection of data-container, dataframe, and pandas-.. +πŸ”— best-of-python - Data Containers ( ⭐ 3.5K) - Collection of data-container, dataframe, and pandas-..
@@ -4453,7 +4446,7 @@ _General-purpose data containers & structures as well as utilities & extensions _Libraries for loading, collecting, and extracting data from a variety of data sources and formats._ -πŸ”— best-of-python - Data Extraction ( ⭐ 3.4K) - Collection of data-loading and -extraction libraries. +πŸ”— best-of-python - Data Extraction ( ⭐ 3.5K) - Collection of data-loading and -extraction libraries.
@@ -4473,7 +4466,7 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar _Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._ -πŸ”— best-of-python - Data Pipelines ( ⭐ 3.4K) - Libraries for data batch- and stream-processing,.. +πŸ”— best-of-python - Data Pipelines ( ⭐ 3.5K) - Libraries for data batch- and stream-processing,..
@@ -4485,28 +4478,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡45 Β· ⭐ 31K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.6M / month Β· πŸ“¦ 680 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.6M / month Β· πŸ“¦ 690 Β· ⏱️ 14.05.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 210K Β· ⏱️ 27.04.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 220K Β· ⏱️ 27.04.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.2M / month Β· πŸ“¦ 2.1K Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.3M / month Β· πŸ“¦ 2.1K Β· ⏱️ 03.05.2024): ``` pip install dask ``` @@ -4517,7 +4510,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡41 Β· ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.9K Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.7K - 39% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.9K Β· πŸ“¦ 7K Β· πŸ“‹ 2.7K - 39% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/microsoft/DeepSpeed @@ -4538,7 +4531,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.9M / month Β· πŸ“¦ 740 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.8M / month Β· πŸ“¦ 740 Β· ⏱️ 03.05.2024): ``` pip install distributed ``` @@ -4547,22 +4540,6 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge distributed ```
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metrics (πŸ₯ˆ36 Β· ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable.. Apache-2 - -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.1K Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 07.05.2024): - - ``` - git clone https://github.com/Lightning-AI/metrics - ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.4K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): - ``` - pip install metrics - ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.3M Β· ⏱️ 06.05.2024): - ``` - conda install -c conda-forge torchmetrics - ``` -
horovod (πŸ₯ˆ35 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.2K - 17% open Β· ⏱️ 25.03.2024): @@ -4570,39 +4547,55 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 67K / month Β· πŸ“¦ 29 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 66K / month Β· πŸ“¦ 29 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 310K / month Β· πŸ“¦ 44 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 310K / month Β· πŸ“¦ 44 Β· ⏱️ 13.05.2024): ``` pip install h2o ```
+
metrics (πŸ₯ˆ35 Β· ⭐ 2K Β· πŸ“‰) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 + +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.1K Β· πŸ“¦ 25K Β· πŸ“‹ 820 - 8% open Β· ⏱️ 14.05.2024): + + ``` + git clone https://github.com/Lightning-AI/metrics + ``` +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): + ``` + pip install metrics + ``` +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.3M Β· ⏱️ 16.05.2024): + ``` + conda install -c conda-forge torchmetrics + ``` +
ColossalAI (πŸ₯ˆ33 Β· ⭐ 38K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/hpcaitech/colossalai ```
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BigDL (πŸ₯ˆ33 Β· ⭐ 6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM,.. Apache-2 +
BigDL (πŸ₯ˆ33 Β· ⭐ 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 460 Β· πŸ“¦ 51 Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 470 Β· πŸ“¦ 51 Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.1K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4622,7 +4615,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 510K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 530K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4631,6 +4624,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge fairscale ```
+
SynapseML (πŸ₯ˆ30 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT + +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 15.05.2024): + + ``` + git clone https://github.com/microsoft/SynapseML + ``` +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 230K / month Β· πŸ“¦ 5 Β· ⏱️ 11.04.2024): + ``` + pip install synapseml + ``` +
dask-ml (πŸ₯ˆ30 Β· ⭐ 880) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 250 Β· πŸ“¦ 1K Β· πŸ“‹ 530 - 51% open Β· ⏱️ 02.04.2024): @@ -4642,19 +4647,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 820K Β· ⏱️ 21.03.2024): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 830K Β· ⏱️ 21.03.2024): ``` conda install -c conda-forge dask-ml ```
mpi4py (πŸ₯ˆ30 Β· ⭐ 760) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 4% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 4% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 230K / month Β· πŸ“¦ 670 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 220K / month Β· πŸ“¦ 670 Β· ⏱️ 14.04.2024): ``` pip install mpi4py ``` @@ -4663,26 +4668,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge mpi4py ```
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SynapseML (πŸ₯ˆ29 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT - -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 03.05.2024): - - ``` - git clone https://github.com/microsoft/SynapseML - ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 230K / month Β· πŸ“¦ 3 Β· ⏱️ 11.04.2024): - ``` - pip install synapseml - ``` -
petastorm (πŸ₯‰26 Β· ⭐ 1.8K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 460 Β· πŸ“¦ 160 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 460 Β· πŸ“¦ 170 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 37K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 35K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` pip install petastorm ``` @@ -4694,7 +4687,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 330K / month Β· πŸ“¦ 39 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 300K / month Β· πŸ“¦ 39 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4726,55 +4719,55 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.7K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.4K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
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Mesh (πŸ₯‰23 Β· ⭐ 1.6K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 +
MMLSpark (πŸ₯‰23 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 85% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 15.05.2024): ``` - git clone https://github.com/tensorflow/mesh + git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 54K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 2 / month Β· ⏱️ 18.03.2020): ``` - pip install mesh-tensorflow + pip install mmlspark ```
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MMLSpark (πŸ₯‰22 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT +
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K Β· 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 08.04.2024): ``` - git clone https://github.com/microsoft/SynapseML + git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 1 / month Β· ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` - pip install mmlspark + pip install analytics-zoo ```
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analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K Β· 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +
Mesh (πŸ₯‰22 Β· ⭐ 1.6K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 85% open Β· ⏱️ 17.11.2023): ``` - git clone https://github.com/intel-analytics/analytics-zoo + git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 45K / month Β· πŸ“¦ 3 Β· ⏱️ 15.05.2022): ``` - pip install analytics-zoo + pip install mesh-tensorflow ```
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launchpad (πŸ₯‰21 Β· ⭐ 300 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 +
launchpad (πŸ₯‰21 Β· ⭐ 310 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 96 Β· πŸ“‹ 40 - 47% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 97 Β· πŸ“‹ 40 - 47% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -4790,7 +4783,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - somoclu (πŸ₯‰20 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- parallelformers (πŸ₯‰18 Β· ⭐ 750 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- parallelformers (πŸ₯‰18 Β· ⭐ 760 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - LazyCluster (πŸ₯‰13 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 @@ -4807,12 +4800,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡35 Β· ⭐ 2.3K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 710 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 710 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 91K / month Β· πŸ“¦ 48 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 95K / month Β· πŸ“¦ 48 Β· ⏱️ 02.05.2024): ``` pip install ax-platform ``` @@ -4823,28 +4816,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
featuretools (πŸ₯‡34 Β· ⭐ 7.1K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 850 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 17% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 860 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 57K / month Β· πŸ“¦ 78 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 63K / month Β· πŸ“¦ 73 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 180K Β· ⏱️ 27.02.2024): +- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 180K Β· ⏱️ 15.05.2024): ``` conda install -c conda-forge featuretools ```
BoTorch (πŸ₯‡34 Β· ⭐ 3K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 980 Β· πŸ“‹ 490 - 14% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 990 Β· πŸ“‹ 490 - 14% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 120K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 140K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): ``` pip install botorch ``` @@ -4860,14 +4853,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 17K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 18K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): ``` pip install nni ```
AutoKeras (πŸ₯‡33 Β· ⭐ 9.1K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 670 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 680 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/keras-team/autokeras @@ -4879,12 +4872,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯‡33 Β· ⭐ 7.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 850 Β· πŸ“¦ 680 Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 850 Β· πŸ“¦ 690 Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 83K / month Β· πŸ“¦ 18 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 82K / month Β· πŸ“¦ 21 Β· ⏱️ 16.05.2024): ``` pip install autogluon ``` @@ -4895,24 +4888,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (πŸ₯ˆ32 Β· ⭐ 7.5K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 150 Β· πŸ“¦ 2.6K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 510K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 540K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ```
Hyperopt (πŸ₯ˆ32 Β· ⭐ 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 15K Β· πŸ“‹ 650 - 32% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 15K Β· πŸ“‹ 650 - 31% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 420 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.3M / month Β· πŸ“¦ 420 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4923,12 +4916,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“¦ 3.6K Β· πŸ“‹ 480 - 43% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“¦ 3.7K Β· πŸ“‹ 480 - 43% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 310K / month Β· πŸ“¦ 100 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 280K / month Β· πŸ“¦ 100 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4939,12 +4932,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (πŸ₯ˆ30 Β· ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“¦ 670 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 350 Β· πŸ“¦ 670 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 190K / month Β· πŸ“¦ 34 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 220K / month Β· πŸ“¦ 46 Β· ⏱️ 20.02.2024): ``` pip install nevergrad ``` @@ -4960,7 +4953,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.6K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.5K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): ``` pip install mljar-supervised ``` @@ -4976,45 +4969,45 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.7K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
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FEDOT (πŸ₯‰23 Β· ⭐ 610) - Automated modeling and machine learning framework FEDOT. BSD-3 +
FEDOT (πŸ₯‰24 Β· ⭐ 610) - Automated modeling and machine learning framework FEDOT. BSD-3 - [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 83 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 5 Β· ⏱️ 03.05.2024): ``` pip install fedot ```
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Auto ViML (πŸ₯‰23 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +
featurewiz (πŸ₯‰23 Β· ⭐ 550) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· πŸ“¦ 24 Β· πŸ“‹ 32 - 3% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· ⏱️ 02.05.2024): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.3K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` - pip install autoviml + pip install featurewiz ```
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featurewiz (πŸ₯‰22 Β· ⭐ 550) - Use advanced feature engineering strategies and select best.. Apache-2 +
Auto ViML (πŸ₯‰23 Β· ⭐ 500) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· πŸ“‹ 91 - 2% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· πŸ“¦ 25 Β· πŸ“‹ 34 - 2% open Β· ⏱️ 11.05.2024): ``` - git clone https://github.com/AutoViML/featurewiz + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` - pip install featurewiz + pip install autoviml ```
Hyperactive (πŸ₯‰20 Β· ⭐ 490) - An optimization and data collection toolbox for convenient and fast.. MIT @@ -5024,12 +5017,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.7K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` pip install hyperactive ```
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AlphaPy (πŸ₯‰18 Β· ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 +
AlphaPy (πŸ₯‰19 Β· ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 190 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 10.02.2024): @@ -5041,42 +5034,42 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install alphapy ```
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shap-hypetune (πŸ₯‰18 Β· ⭐ 530) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
shap-hypetune (πŸ₯‰18 Β· ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and.. MIT - [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 68 Β· πŸ“¦ 15 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ```
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opytimizer (πŸ₯‰17 Β· ⭐ 590) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
opytimizer (πŸ₯‰17 Β· ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 40 Β· πŸ“¦ 16 Β· ⏱️ 21.12.2023): ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 200 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 290 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ```
Show 33 hidden projects... -- Optuna (πŸ₯‡39 Β· ⭐ 9.7K) - A hyperparameter optimization framework. ❗Unlicensed +- Optuna (πŸ₯‡39 Β· ⭐ 9.8K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.5K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - auto-sklearn (πŸ₯ˆ30 Β· ⭐ 7.4K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - lazypredict (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT +- SMAC3 (πŸ₯ˆ25 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 920 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - lightwood (πŸ₯ˆ25 Β· ⭐ 430) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- auto_ml (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT -- SMAC3 (πŸ₯ˆ24 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- auto_ml (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - Orion (πŸ₯‰23 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT @@ -5111,29 +5104,17 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (πŸ₯‡31 Β· ⭐ 9.2K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 38 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 39 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.8K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.3K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
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TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 29% open Β· ⏱️ 20.03.2024): - - ``` - git clone https://github.com/tensorflow/agents - ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 100K / month Β· πŸ“¦ 12 Β· ⏱️ 14.12.2023): - ``` - pip install tf-agents - ``` -
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Dopamine (πŸ₯ˆ28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Dopamine (πŸ₯‡28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 53% open Β· ⏱️ 06.05.2024): @@ -5145,7 +5126,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install dopamine-rl ```
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Acme (πŸ₯ˆ28 Β· ⭐ 3.4K) - A library of reinforcement learning components and agents. Apache-2 +
Acme (πŸ₯‡28 Β· ⭐ 3.4K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 410 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 03.05.2024): @@ -5156,43 +5137,55 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
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ViZDoom (πŸ₯ˆ28 Β· ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 380 Β· πŸ“₯ 12K Β· πŸ“¦ 230 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 29% open Β· ⏱️ 20.03.2024): + + ``` + git clone https://github.com/tensorflow/agents + ``` +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 47K / month Β· πŸ“¦ 12 Β· ⏱️ 14.12.2023): + ``` + pip install tf-agents + ``` +
+
ViZDoom (πŸ₯‡28 Β· ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT + +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 380 Β· πŸ“₯ 12K Β· πŸ“¦ 240 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.6K / month Β· πŸ“¦ 13 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3K / month Β· πŸ“¦ 13 Β· ⏱️ 16.12.2023): ``` pip install vizdoom ```
TensorForce (πŸ₯ˆ27 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 -- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 540 Β· πŸ“¦ 440 Β· πŸ“‹ 670 - 5% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 540 Β· πŸ“¦ 450 Β· πŸ“‹ 670 - 5% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 940 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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RLax (πŸ₯‰26 Β· ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2 +
RLax (πŸ₯ˆ27 Β· ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 84 Β· πŸ“¦ 230 Β· πŸ“‹ 25 - 28% open Β· ⏱️ 24.11.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 2.4M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 2.6M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5204,19 +5197,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 920 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ```
ReAgent (πŸ₯‰23 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 30 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 34 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5228,7 +5221,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 290 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 350 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5248,8 +5241,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects... - OpenAI Gym (πŸ₯‡40 Β· ⭐ 34K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT -- baselines (πŸ₯ˆ28 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- baselines (πŸ₯‡28 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT +- keras-rl (πŸ₯‡28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - garage (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 4.1K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT @@ -5270,19 +5263,19 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡35 Β· ⭐ 18K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 480 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 490 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 22K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 24K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): ``` pip install recommenders ```
torchrec (πŸ₯‡31 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“¦ 110 Β· πŸ“‹ 360 - 71% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“¦ 110 Β· πŸ“‹ 360 - 71% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pytorch/torchrec @@ -5294,7 +5287,7 @@ _Libraries for building and evaluating recommendation systems._
implicit (πŸ₯ˆ30 Β· ⭐ 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 760 Β· πŸ“¦ 1.3K Β· πŸ“‹ 490 - 17% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 790 Β· πŸ“¦ 1.3K Β· πŸ“‹ 490 - 17% open Β· ⏱️ 21.11.2023): ``` git clone https://github.com/benfred/implicit @@ -5308,7 +5301,7 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge implicit ```
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TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 +
TF Recommenders (πŸ₯ˆ30 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 430 - 57% open Β· ⏱️ 16.02.2024): @@ -5327,23 +5320,23 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 120K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 130K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` pip install tensorflow_ranking ```
Cornac (πŸ₯ˆ28 Β· ⭐ 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 33K / month Β· πŸ“¦ 18 Β· ⏱️ 06.05.2024): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 370K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 380K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge cornac ``` @@ -5355,7 +5348,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 88K / month Β· πŸ“¦ 36 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 87K / month Β· πŸ“¦ 36 Β· ⏱️ 23.09.2022): ``` pip install scikit-surprise ``` @@ -5371,11 +5364,11 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 4.7K Β· ⏱️ 01.11.2023): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 4.8K Β· ⏱️ 01.11.2023): ``` conda install -c aibox recbole ``` @@ -5395,7 +5388,7 @@ _Libraries for building and evaluating recommendation systems._
Show 8 hidden projects... - lightfm (πŸ₯ˆ28 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 -- lkpy (πŸ₯‰25 Β· ⭐ 260) - Python recommendation toolkit. MIT +- lkpy (πŸ₯‰26 Β· ⭐ 260) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT @@ -5413,24 +5406,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡37 Β· ⭐ 9.3K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 9.5K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 28.04.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ30 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 780 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 780 Β· πŸ“‹ 300 - 27% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 140K / month Β· πŸ“¦ 20 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 130K / month Β· πŸ“¦ 32 Β· ⏱️ 11.02.2024): ``` pip install opacus ``` @@ -5441,7 +5434,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
FATE (πŸ₯ˆ27 Β· ⭐ 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 2K - 43% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/FederatedAI/FATE @@ -5453,7 +5446,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯‰26 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/tensorflow/privacy @@ -5463,14 +5456,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install tensorflow-privacy ```
-
CrypTen (πŸ₯‰24 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰25 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 35 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 36 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 320 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5478,7 +5471,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Show 2 hidden projects... - TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 -- PipelineDP (πŸ₯‰18 Β· ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰19 Β· ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5490,23 +5483,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 17K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 3.9K Β· πŸ“¦ 35K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 3.9K Β· πŸ“¦ 35K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 760 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 770 Β· ⏱️ 09.05.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 09.05.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 10.05.2024): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡44 Β· ⭐ 6.6K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/tensorflow/tensorboard @@ -5515,14 +5508,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 4.6M Β· ⏱️ 18.02.2024): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 4.7M Β· ⏱️ 18.02.2024): ``` conda install -c conda-forge tensorboard ```
wandb client (πŸ₯‡42 Β· ⭐ 8.3K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 45K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 45K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/wandb/client @@ -5538,44 +5531,44 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments and Data Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 42K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 490K / month Β· πŸ“¦ 110 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 13.05.2024): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.8M Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.9M Β· ⏱️ 14.05.2024): ``` conda install -c conda-forge dvc ```
SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 4K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 27M / month Β· πŸ“¦ 130 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 26M / month Β· πŸ“¦ 130 Β· ⏱️ 15.05.2024): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 760K Β· ⏱️ 09.05.2024): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 780K Β· ⏱️ 16.05.2024): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (πŸ₯ˆ38 Β· ⭐ 8.5K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 690 Β· πŸ“¦ 5.6K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 690 Β· πŸ“¦ 5.7K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 370K / month Β· πŸ“¦ 30 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 360K / month Β· πŸ“¦ 30 Β· ⏱️ 28.04.2024): ``` pip install pycaret ``` @@ -5586,12 +5579,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ34 Β· ⭐ 7.6K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 720 Β· πŸ“¦ 640 Β· πŸ“‹ 680 - 46% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 720 Β· πŸ“¦ 650 Β· πŸ“‹ 690 - 45% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 540K / month Β· πŸ“¦ 42 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 530K / month Β· πŸ“¦ 44 Β· ⏱️ 08.05.2024): ``` pip install metaflow ``` @@ -5602,12 +5595,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ34 Β· ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 630 Β· πŸ“₯ 2.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 45% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 630 Β· πŸ“₯ 2.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 45% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 300K / month Β· πŸ“¦ 33 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 290K / month Β· πŸ“¦ 33 Β· ⏱️ 08.05.2024): ``` pip install clearml ``` @@ -5616,42 +5609,42 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
-
snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT +
AzureML SDK (πŸ₯ˆ34 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 520 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 61% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 570 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): ``` - git clone https://github.com/snakemake/snakemake - ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 98K / month Β· πŸ“¦ 220 Β· ⏱️ 03.05.2024): - ``` - pip install snakemake + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 610K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): ``` - conda install -c bioconda snakemake + pip install azureml-sdk ```
-
AzureML SDK (πŸ₯ˆ33 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT +
snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 560 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 520 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 61% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 620K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 78K / month Β· πŸ“¦ 220 Β· ⏱️ 16.05.2024): ``` - pip install azureml-sdk + pip install snakemake + ``` +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 03.05.2024): + ``` + conda install -c bioconda snakemake ```
tensorboardX (πŸ₯ˆ32 Β· ⭐ 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 420 Β· πŸ“¦ 43K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 420 Β· πŸ“¦ 44K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.2M / month Β· πŸ“¦ 600 Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` @@ -5667,7 +5660,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 200K / month Β· πŸ“¦ 180 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 210K / month Β· πŸ“¦ 180 Β· ⏱️ 12.04.2024): ``` pip install kaggle ``` @@ -5678,12 +5671,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 4.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 540 Β· πŸ“‹ 1K - 34% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 550 Β· πŸ“‹ 1K - 34% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 76K / month Β· πŸ“¦ 32 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 71K / month Β· πŸ“¦ 34 Β· ⏱️ 15.05.2024): ``` pip install aim ``` @@ -5694,28 +5687,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 540) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“¦ 460 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 58 Β· πŸ“¦ 480 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 77 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 77 Β· ⏱️ 15.05.2024): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 240K Β· ⏱️ 09.05.2024): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 240K Β· ⏱️ 15.05.2024): ``` conda install -c conda-forge neptune-client ```
VisualDL (πŸ₯ˆ29 Β· ⭐ 4.7K Β· πŸ’€) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 360 Β· πŸ“¦ 2.8K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 360 Β· πŸ“¦ 2.9K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 210K / month Β· πŸ“¦ 46 Β· ⏱️ 05.06.2023): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 220K / month Β· πŸ“¦ 46 Β· ⏱️ 05.06.2023): ``` pip install visualdl ``` @@ -5727,7 +5720,7 @@ _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“¦ 58 Β· ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 29K / month Β· πŸ“¦ 58 Β· ⏱️ 13.11.2023): ``` pip install sacred ``` @@ -5738,72 +5731,72 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (πŸ₯‰28 Β· ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.9K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.8K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): ``` pip install labml ```
quinn (πŸ₯‰27 Β· ⭐ 580) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“₯ 23 Β· πŸ“¦ 76 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“₯ 23 Β· πŸ“¦ 77 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 780K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 770K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
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’» 130 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.8K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.9K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
ml-metadata (πŸ₯‰26 Β· ⭐ 600) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“₯ 2.2K Β· πŸ“¦ 440 Β· πŸ“‹ 120 - 34% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“₯ 2.2K Β· πŸ“¦ 450 Β· πŸ“‹ 120 - 34% open Β· ⏱️ 26.04.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 75K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 81K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): ``` pip install ml-metadata ```
Guild AI (πŸ₯‰23 Β· ⭐ 860 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 16 Β· πŸ“¦ 95 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 16 Β· πŸ“¦ 96 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.5K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.6K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ```
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Studio.ml (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 +
Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 06.09.2023): ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 900 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.3K / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -5815,31 +5808,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 900 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 940 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ```
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caliban (πŸ₯‰15 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 - -- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 67 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 25.01.2024): - - ``` - git clone https://github.com/google/caliban - ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 120 / month Β· ⏱️ 12.09.2020): - ``` - pip install caliban - ``` -
-
CometML (πŸ₯‰15) - Supercharging Machine Learning. MIT +
CometML (πŸ₯‰16) - Supercharging Machine Learning. MIT - [GitHub](): ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 420K / month Β· πŸ“¦ 67 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 560K / month Β· πŸ“¦ 68 Β· ⏱️ 13.05.2024): ``` pip install comet_ml ``` @@ -5848,6 +5829,18 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c anaconda comet_ml ```
+
caliban (πŸ₯‰15 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 + +- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 67 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 25.01.2024): + + ``` + git clone https://github.com/google/caliban + ``` +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 130 / month Β· ⏱️ 12.09.2020): + ``` + pip install caliban + ``` +
Show 15 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 @@ -5863,7 +5856,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - MXBoard (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT -- ModelChimp (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 +- ModelChimp (πŸ₯‰13 Β· ⭐ 130 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

@@ -5876,23 +5869,23 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 17K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 27K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.6K Β· πŸ“₯ 21K Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.6M / month Β· πŸ“¦ 910 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.6M / month Β· πŸ“¦ 920 Β· ⏱️ 25.03.2024): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 980K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 990K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge onnx ```
-
triton (πŸ₯‡43 Β· ⭐ 11K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡43 Β· ⭐ 11K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 25K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/openai/triton @@ -5920,24 +5913,24 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (πŸ₯ˆ35 Β· ⭐ 6.6K) - The most flexible way to serve AI/ML models in production - Build.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.7K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.6K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 86K / month Β· πŸ“¦ 23 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 97K / month Β· πŸ“¦ 23 Β· ⏱️ 16.05.2024): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 4K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 810 Β· πŸ“₯ 5.7K Β· πŸ“¦ 650 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 810 Β· πŸ“₯ 5.7K Β· πŸ“¦ 650 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 49K / month Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 48K / month Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): ``` pip install torchserve ``` @@ -5952,12 +5945,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (πŸ₯ˆ34 Β· ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 590 Β· πŸ“₯ 9.4K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 600 Β· πŸ“₯ 9.6K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 290K / month Β· πŸ“¦ 71 Β· ⏱️ 23.04.2024): ``` pip install coremltools ``` @@ -5973,7 +5966,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.1K / month Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1K / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` @@ -5984,12 +5977,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 450 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 500 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.1K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 5.6K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` @@ -6005,7 +5998,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6017,7 +6010,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 93 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 110 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -6045,23 +6038,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡43 Β· ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 17K Β· πŸ“‹ 2.4K - 45% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 17K Β· πŸ“‹ 2.5K - 33% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7M / month Β· πŸ“¦ 670 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.9M / month Β· πŸ“¦ 670 Β· ⏱️ 07.05.2024): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.7M Β· ⏱️ 08.05.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.8M Β· ⏱️ 08.05.2024): ``` conda install -c conda-forge shap ```
arviz (πŸ₯‡36 Β· ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 370 Β· πŸ“₯ 140 Β· πŸ“¦ 6.4K Β· πŸ“‹ 850 - 20% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 370 Β· πŸ“₯ 140 Β· πŸ“¦ 6.5K Β· πŸ“‹ 850 - 20% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/arviz-devs/arviz @@ -6077,36 +6070,36 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 62K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 110K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 24K / month Β· πŸ“¦ 78 Β· ⏱️ 04.05.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 22K / month Β· πŸ“¦ 78 Β· ⏱️ 13.05.2024): ``` pip install netron ```
InterpretML (πŸ₯‡33 Β· ⭐ 6K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 710 Β· πŸ“¦ 670 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 710 Β· πŸ“¦ 670 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 83K / month Β· πŸ“¦ 43 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 82K / month Β· πŸ“¦ 43 Β· ⏱️ 14.04.2024): ``` pip install interpret ```
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Captum (πŸ₯‡33 Β· ⭐ 4.6K Β· πŸ“ˆ) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (πŸ₯‡33 Β· ⭐ 4.6K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 2K Β· πŸ“‹ 550 - 39% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 2.1K Β· πŸ“‹ 550 - 39% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 220K / month Β· πŸ“¦ 110 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 230K / month Β· πŸ“¦ 110 Β· ⏱️ 05.12.2023): ``` pip install captum ``` @@ -6122,35 +6115,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 84K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 80K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 44K Β· ⏱️ 18.03.2024): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 45K Β· ⏱️ 18.03.2024): ``` conda install -c conda-forge explainerdashboard ```
evaluate (πŸ₯ˆ32 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 8.9K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 9.1K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.8M / month Β· πŸ“¦ 330 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.9M / month Β· πŸ“¦ 340 Β· ⏱️ 30.04.2024): ``` pip install evaluate ```
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 900 Β· πŸ“₯ 34 Β· πŸ“¦ 360 Β· πŸ“‹ 440 - 28% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 900 Β· πŸ“₯ 35 Β· πŸ“¦ 360 Β· πŸ“‹ 450 - 28% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 50K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 49K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` pip install dowhy ``` @@ -6166,7 +6159,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.4K / month Β· πŸ“¦ 4 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.3K / month Β· πŸ“¦ 4 Β· ⏱️ 06.05.2024): ``` pip install shapash ``` @@ -6194,23 +6187,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 44K / month Β· πŸ“¦ 17 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 46K / month Β· πŸ“¦ 26 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 9.8K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 10K Β· ⏱️ 09.04.2024): ``` conda install -c conda-forge aif360 ```
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 390 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 36% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 390 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 36% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 290K / month Β· πŸ“¦ 50 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 280K / month Β· πŸ“¦ 50 Β· ⏱️ 19.12.2023): ``` pip install fairlearn ``` @@ -6226,7 +6219,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 76K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 78K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): ``` pip install tensorflow-model-analysis ``` @@ -6238,7 +6231,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): ``` pip install raiwidgets ``` @@ -6250,18 +6243,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.5K / month Β· πŸ“¦ 2 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.6K / month Β· πŸ“¦ 3 Β· ⏱️ 09.04.2024): ``` pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 71K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lit-nlp ```
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dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.8K) - A python library for decision tree visualization and model interpretation. MIT +
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.9K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.1K Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.2K Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): ``` git clone https://github.com/parrt/dtreeviz @@ -6275,42 +6268,42 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dtreeviz ```
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yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 +
imodels (πŸ₯ˆ28 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [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/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 85 - 37% open Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 570K / month Β· πŸ“¦ 91 Β· ⏱️ 21.08.2022): - ``` - pip install yellowbrick + git clone https://github.com/csinva/imodels ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 77K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): ``` - conda install -c conda-forge yellowbrick + pip install imodels ```
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imodels (πŸ₯ˆ27 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 84 - 38% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 13% open Β· ⏱️ 05.07.2023): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 570K / month Β· πŸ“¦ 91 Β· ⏱️ 21.08.2022): ``` - pip install imodels + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick ```
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aequitas (πŸ₯‰26 Β· ⭐ 630) - Bias Auditing & Fair ML Toolkit. MIT +
aequitas (πŸ₯‰26 Β· ⭐ 640) - Bias Auditing & Fair ML Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 110 Β· πŸ“¦ 150 Β· πŸ“‹ 100 - 54% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 110 Β· πŸ“¦ 150 Β· πŸ“‹ 100 - 54% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 34K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -6322,7 +6315,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` pip install causalnex ``` @@ -6334,11 +6327,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.4K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge checklist ``` @@ -6350,7 +6343,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ``` @@ -6362,7 +6355,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6374,19 +6367,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.8K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.4K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ```
-
What-If Tool (πŸ₯‰22 Β· ⭐ 890) - Source code/webpage/demos for the What-If Tool. Apache-2 +
What-If Tool (πŸ₯‰23 Β· ⭐ 890) - 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”€ 160 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 60% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6394,23 +6387,23 @@ _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“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ```
ecco (πŸ₯‰21 Β· ⭐ 1.9K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“₯ 92 Β· πŸ“¦ 28 Β· πŸ“‹ 62 - 50% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“₯ 94 Β· πŸ“¦ 28 Β· πŸ“‹ 63 - 50% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 370 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ecco ``` @@ -6422,7 +6415,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 57K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 54K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ``` @@ -6434,7 +6427,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6446,14 +6439,14 @@ _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“₯ 1.5K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.4K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ```
LOFO (πŸ₯‰19 Β· ⭐ 800) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 81 Β· πŸ“¦ 27 Β· πŸ“‹ 26 - 11% open Β· ⏱️ 16.01.2024): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 81 Β· πŸ“¦ 28 Β· πŸ“‹ 26 - 11% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/aerdem4/lofo-importance @@ -6470,7 +6463,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.3K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.4K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -6482,7 +6475,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 360 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 380 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6504,14 +6497,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - scikit-plot (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - Alibi (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel -- Deep Checks (πŸ₯ˆ27 Β· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - DALEX (πŸ₯ˆ27 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - Lucid (πŸ₯‰22 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - random-forest-importances (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT -- Quantus (πŸ₯‰22 Β· ⭐ 500) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 +- Quantus (πŸ₯‰22 Β· ⭐ 510) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 800 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tcav (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 @@ -6519,9 +6512,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - sklearn-evaluation (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - Anchor (πŸ₯‰16 Β· ⭐ 780 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- bias-detector (πŸ₯‰13 Β· ⭐ 42 Β· πŸ“ˆ) - Bias Detector is a python package for detecting bias in machine.. MIT +- contextual-ai (πŸ₯‰13 Β· ⭐ 85 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 -- contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 +- bias-detector (πŸ₯‰12 Β· ⭐ 42) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6535,28 +6528,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 27K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 220K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 220K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 14.05.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 15M Β· ⭐ 43 Β· ⏱️ 09.05.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 15M Β· ⭐ 43 Β· ⏱️ 16.05.2024): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡39 Β· ⭐ 28K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 14.05.2024): ``` pip install pymilvus ``` @@ -6567,7 +6560,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Annoy (πŸ₯ˆ35 Β· ⭐ 13K Β· πŸ’€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.8K Β· πŸ“‹ 400 - 13% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 400 - 14% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/spotify/annoy @@ -6583,32 +6576,32 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ33 Β· ⭐ 4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 600 Β· πŸ“¦ 6.4K Β· πŸ“‹ 350 - 54% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 590 Β· πŸ“¦ 6.5K Β· πŸ“‹ 370 - 57% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 890K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 910K / month Β· πŸ“¦ 120 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 150K Β· ⏱️ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 160K Β· ⏱️ 27.09.2023): ``` conda install -c conda-forge hnswlib ```
USearch (πŸ₯‰30 Β· ⭐ 1.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 89 Β· πŸ“₯ 1.2K Β· πŸ“¦ 69 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 90 Β· πŸ“₯ 1.3K Β· πŸ“¦ 69 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 69K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 63K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.1K / month Β· πŸ“¦ 14 Β· ⏱️ 10.04.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 5.9K / month Β· πŸ“¦ 14 Β· ⏱️ 10.04.2024): ``` npm install usearch ``` @@ -6619,7 +6612,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰29 Β· ⭐ 840) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 6.3K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 29.03.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 100 Β· πŸ“¦ 6.4K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/lmcinnes/pynndescent @@ -6635,12 +6628,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NGT (πŸ₯‰22 Β· ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.1K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.2K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6652,7 +6645,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 300 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 310 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6674,7 +6667,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/pymc-devs/pymc @@ -6690,12 +6683,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡38 Β· ⭐ 4.1K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.8M / month Β· πŸ“¦ 560 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.9M / month Β· πŸ“¦ 560 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` @@ -6722,7 +6715,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 950 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 960 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/pgmpy/pgmpy @@ -6739,7 +6732,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 190K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 200K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` @@ -6748,14 +6741,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpytorch ```
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hmmlearn (πŸ₯ˆ31 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
hmmlearn (πŸ₯ˆ31 Β· ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 730 Β· πŸ“¦ 2.5K Β· πŸ“‹ 430 - 14% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 2.5K Β· πŸ“‹ 440 - 14% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 170K / month Β· πŸ“¦ 76 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 76 Β· ⏱️ 02.03.2024): ``` pip install hmmlearn ``` @@ -6771,7 +6764,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 170K / month Β· πŸ“¦ 390 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 160K / month Β· πŸ“¦ 390 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` @@ -6782,7 +6775,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
patsy (πŸ₯ˆ31 Β· ⭐ 920) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 95K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 96K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/pydata/patsy @@ -6803,7 +6796,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 180K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 190K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): ``` pip install salib ``` @@ -6819,7 +6812,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 41K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 42K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): ``` pip install pomegranate ``` @@ -6830,12 +6823,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPflow (πŸ₯‰29 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 650 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 660 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 46K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 53K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): ``` pip install gpflow ``` @@ -6862,12 +6855,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 54 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 55 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 22K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` @@ -6879,23 +6872,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 21K / month Β· πŸ“¦ 10 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 22K / month Β· πŸ“¦ 10 Β· ⏱️ 25.10.2023): ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 30K Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 31K Β· ⏱️ 27.10.2023): ``` conda install -c conda-forge bambi ```
scikit-posthocs (πŸ₯‰25 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 46 Β· πŸ“¦ 680 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 46 Β· πŸ“¦ 690 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 85K / month Β· πŸ“¦ 46 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 83K / month Β· πŸ“¦ 46 Β· ⏱️ 18.02.2024): ``` pip install scikit-posthocs ``` @@ -6904,9 +6897,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge scikit-posthocs ```
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Baal (πŸ₯‰22 Β· ⭐ 830) - Bayesian active learning library for research and industrial usecases. Apache-2 +
Baal (πŸ₯‰23 Β· ⭐ 840) - Bayesian active learning library for research and industrial usecases. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 83 Β· πŸ“¦ 56 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 83 Β· πŸ“¦ 56 Β· πŸ“‹ 110 - 24% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/baal-org/baal @@ -6915,7 +6908,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 8.1K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 8.2K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ``` @@ -6940,16 +6933,16 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4.5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 520 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 27K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 38K Β· ⏱️ 18.02.2024): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 39K Β· ⏱️ 18.02.2024): ``` conda install -c conda-forge adversarial-robustness-toolbox ``` @@ -6961,11 +6954,11 @@ _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“₯ 5.6K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 7.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textattack ``` @@ -6977,7 +6970,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.6K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -7003,9 +6996,9 @@ _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· ⭐ 7.8K) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‡37 Β· ⭐ 7.8K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 770 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 770 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/cupy/cupy @@ -7014,7 +7007,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.5M Β· ⏱️ 29.04.2024): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.6M Β· ⏱️ 29.04.2024): ``` conda install -c conda-forge cupy ``` @@ -7025,7 +7018,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡34 Β· ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.3K Β· πŸ“‹ 740 - 46% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.4K Β· πŸ“‹ 740 - 46% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/huggingface/optimum @@ -7039,9 +7032,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
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cuDF (πŸ₯ˆ33 Β· ⭐ 7.3K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯ˆ33 Β· ⭐ 7.4K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 840 Β· πŸ“¦ 53 Β· πŸ“‹ 6.2K - 17% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 840 Β· πŸ“¦ 54 Β· πŸ“‹ 6.3K - 17% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/rapidsai/cudf @@ -7051,14 +7044,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c pip install cudf ```
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cuML (πŸ₯ˆ31 Β· ⭐ 3.9K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
cuML (πŸ₯ˆ31 Β· ⭐ 4K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.7K / month Β· πŸ“¦ 13 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.8K / month Β· πŸ“¦ 13 Β· ⏱️ 01.06.2020): ``` pip install cuml ``` @@ -7070,18 +7063,18 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 44K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 46K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 310K Β· ⏱️ 06.01.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 320K Β· ⏱️ 06.01.2024): ``` conda install -c conda-forge pycuda ```
Apex (πŸ₯ˆ29 Β· ⭐ 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 26.04.2024): ``` git clone https://github.com/NVIDIA/apex @@ -7098,7 +7091,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 910K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 890K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7109,19 +7102,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯ˆ27 Β· ⭐ 4.4K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 530 Β· πŸ“₯ 6K Β· πŸ“‹ 1.7K - 20% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 530 Β· πŸ“₯ 6.1K Β· πŸ“‹ 1.7K - 20% open Β· ⏱️ 04.04.2024): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.5K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.6K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 17% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 17% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/rapidsai/cugraph @@ -7137,7 +7130,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.9K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -7150,19 +7143,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 940 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 980 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
-
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ“‰) - General purpose GPU compute framework built on Vulkan.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“₯ 500 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 190 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 180 / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -7174,7 +7167,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.4K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.9K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7194,7 +7187,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 130 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (πŸ₯‰17 Β· ⭐ 190) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 -- SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- SpeedTorch (πŸ₯‰16 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7206,12 +7199,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 18K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 4.1M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 4.3M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): ``` pip install tensorflow-datasets ``` @@ -7227,7 +7220,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 4.7M / month Β· πŸ“¦ 280 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 5.3M / month Β· πŸ“¦ 280 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -7238,7 +7231,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Addons (πŸ₯ˆ33 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 990 - 8% open Β· ⏱️ 15.04.2024): ``` git clone https://github.com/tensorflow/addons @@ -7250,12 +7243,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - 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”€ 690 Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 690 Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 64K / month Β· πŸ“¦ 14 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 70K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): ``` pip install tfx ``` @@ -7267,7 +7260,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 800K / month Β· πŸ“¦ 43 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 770K / month Β· πŸ“¦ 43 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -7279,26 +7272,26 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 930K / month Β· πŸ“¦ 17 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 970K / month Β· πŸ“¦ 17 Β· ⏱️ 24.04.2024): ``` pip install tensorflow-transform ```
-
TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 650 - 44% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.7M / month Β· πŸ“¦ 60 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.9M / month Β· πŸ“¦ 60 Β· ⏱️ 01.05.2024): ``` pip install tensorflow-io ```
Neural Structured Learning (πŸ₯‰25 Β· ⭐ 980 Β· πŸ’€) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 440 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 450 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/tensorflow/neural-structured-learning @@ -7315,7 +7308,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ``` @@ -7339,7 +7332,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.4K / month Β· πŸ“¦ 6 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.5K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` pip install saliency ``` @@ -7362,7 +7355,7 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.8K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 130 Β· πŸ“¦ 530 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 130 Β· πŸ“¦ 550 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/patrick-kidger/equinox @@ -7379,7 +7372,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 680 / month Β· πŸ“¦ 5 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 600 / month Β· πŸ“¦ 5 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7402,7 +7395,7 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.3K Β· πŸ“¦ 27K Β· πŸ“‹ 590 - 6% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.3K Β· πŸ“¦ 27K Β· πŸ“‹ 600 - 6% open Β· ⏱️ 01.04.2024): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn @@ -7418,12 +7411,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 27% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 27% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 42 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 42 Β· ⏱️ 13.05.2024): ``` pip install scikit-learn-intelex ``` @@ -7450,7 +7443,7 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ31 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 390 Β· πŸ“¦ 1.7K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 390 Β· πŸ“¦ 1.8K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/scikit-learn-contrib/category_encoders @@ -7466,7 +7459,7 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.2K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 11% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/koaning/scikit-lego @@ -7487,7 +7480,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.4K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7499,7 +7492,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7511,7 +7504,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.7K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.1K / month Β· ⏱️ 03.08.2021): ``` pip install scikit-tda ``` @@ -7538,25 +7531,25 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡40 Β· ⭐ 7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 +
accelerate (πŸ₯‡40 Β· ⭐ 7.1K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 800 Β· πŸ“¦ 35K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 810 Β· πŸ“¦ 36K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.05.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 130K Β· ⏱️ 03.05.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 130K Β· ⏱️ 11.05.2024): ``` conda install -c conda-forge accelerate ```
tinygrad (πŸ₯‡32 Β· ⭐ 24K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.6K Β· πŸ“¦ 63 Β· πŸ“‹ 600 - 16% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.6K Β· πŸ“¦ 63 Β· πŸ“‹ 610 - 17% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7564,12 +7557,12 @@ _Libraries that extend Pytorch with additional capabilities._
PML (πŸ₯‡32 Β· ⭐ 5.8K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 650 Β· πŸ“¦ 1.5K Β· πŸ“‹ 490 - 11% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 650 Β· πŸ“¦ 1.5K Β· πŸ“‹ 500 - 11% open Β· ⏱️ 01.04.2024): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 330K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 370K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): ``` pip install pytorch-metric-learning ``` @@ -7585,7 +7578,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 770K / month Β· πŸ“¦ 88 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 750K / month Β· πŸ“¦ 89 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7594,14 +7587,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchdiffeq ```
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pytorch-optimizer (πŸ₯‡29 Β· ⭐ 2.9K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 +
pytorch-optimizer (πŸ₯‡29 Β· ⭐ 3K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 - [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 290 Β· πŸ“¦ 1.2K Β· πŸ“‹ 83 - 63% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 84 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 140K / month Β· πŸ“¦ 84 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` @@ -7612,28 +7605,28 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯ˆ28 Β· ⭐ 1.5K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 3K Β· πŸ“‹ 73 - 28% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 3K Β· πŸ“‹ 74 - 29% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month Β· πŸ“¦ 29 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month Β· πŸ“¦ 30 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` -- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torchsde ```
lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 270 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): +- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 280 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 3K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7642,81 +7635,81 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge lightning-flash ```
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TabNet (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT - -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 460 Β· πŸ“‹ 330 - 15% open Β· ⏱️ 23.07.2023): - - ``` - git clone https://github.com/dreamquark-ai/tabnet - ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 35K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): - ``` - pip install pytorch-tabnet - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.5K Β· ⏱️ 20.12.2023): - ``` - conda install -c conda-forge pytorch-tabnet - ``` -
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torch-scatter (πŸ₯ˆ25 Β· ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 170 Β· πŸ“‹ 370 - 8% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“‹ 370 - 8% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 39K / month Β· πŸ“¦ 130 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 38K / month Β· πŸ“¦ 130 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 270K Β· ⏱️ 12.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 280K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge pytorch_scatter ```
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Pytorch Toolbelt (πŸ₯‰24 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT +
TabNet (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 17 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 15% open Β· ⏱️ 23.07.2023): ``` - git clone https://github.com/BloodAxe/pytorch-toolbelt + git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.5K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 34K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` - pip install pytorch_toolbelt + pip install pytorch-tabnet + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.6K Β· ⏱️ 20.12.2023): + ``` + conda install -c conda-forge pytorch-tabnet ```
PyTorch Sparse (πŸ₯‰24 Β· ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 11% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 27K / month Β· πŸ“¦ 75 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 26K / month Β· πŸ“¦ 100 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 270K Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 280K Β· ⏱️ 09.01.2024): ``` conda install -c conda-forge pytorch_sparse ```
+
Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ“‰) - PyTorch extensions for fast R&D prototyping and.. MIT + +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 17 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 18.04.2024): + + ``` + git clone https://github.com/BloodAxe/pytorch-toolbelt + ``` +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.9K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): + ``` + pip install pytorch_toolbelt + ``` +
reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT -- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 21.06.2023): +- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“‹ 120 - 13% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 8.5K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 9.8K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
Show 20 hidden projects... -- pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- pretrainedmodels (πŸ₯‡29 Β· ⭐ 9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.8K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 @@ -7745,7 +7738,7 @@ _Libraries that extend Pytorch with additional capabilities._ _Libraries for connecting to, operating, and querying databases._ -πŸ”— best-of-python - DB Clients ( ⭐ 3.4K) - Collection of database clients for python. +πŸ”— best-of-python - DB Clients ( ⭐ 3.5K) - Collection of database clients for python.
@@ -7755,7 +7748,7 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 990K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 1M Β· πŸ“‹ 10K - 17% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/scipy/scipy @@ -7769,54 +7762,54 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge scipy ```
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SymPy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 +
SymPy (πŸ₯‡47 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 140K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 21M / month Β· πŸ“¦ 3K Β· ⏱️ 31.03.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 22M / month Β· πŸ“¦ 3K Β· ⏱️ 31.03.2024): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 5.4M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 5.5M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sympy ```
Streamlit (πŸ₯‡46 Β· ⭐ 32K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 370K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 380K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.2M / month Β· πŸ“¦ 2.2K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.3M / month Β· πŸ“¦ 2.3K Β· ⏱️ 02.05.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 29K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 2.2K Β· πŸ“¦ 29K Β· πŸ“‹ 4.2K - 11% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 2.2K Β· πŸ“¦ 30K Β· πŸ“‹ 4.2K - 12% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.5M / month Β· πŸ“¦ 540 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.8M / month Β· πŸ“¦ 550 Β· ⏱️ 15.05.2024): ``` pip install gradio ```
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DeepChem (πŸ₯‡37 Β· ⭐ 5.1K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯‡37 Β· ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 360 Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 370 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 28K / month Β· πŸ“¦ 11 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 29K / month Β· πŸ“¦ 13 Β· ⏱️ 15.05.2024): ``` pip install deepchem ``` @@ -7827,40 +7820,40 @@ _Libraries for connecting to, operating, and querying databases._
carla (πŸ₯‡36 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 700 Β· πŸ“‹ 5.1K - 21% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 710 Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): ``` pip install carla ```
PennyLane (πŸ₯‡36 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 77 Β· πŸ“¦ 870 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 78 Β· πŸ“¦ 880 Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 66K / month Β· πŸ“¦ 100 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 62K / month Β· πŸ“¦ 100 Β· ⏱️ 06.05.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 45K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 47K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge pennylane ```
Datasette (πŸ₯ˆ35 Β· ⭐ 9K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 620 Β· πŸ“₯ 64 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 630 Β· πŸ“₯ 64 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 43K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 41K / month Β· πŸ“¦ 390 Β· ⏱️ 13.03.2024): ``` pip install datasette ``` @@ -7871,55 +7864,55 @@ _Libraries for connecting to, operating, and querying databases._
agate (πŸ₯ˆ35 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 3.1K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 3.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.4M / month Β· πŸ“¦ 44 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.5M / month Β· πŸ“¦ 45 Β· ⏱️ 28.04.2024): ``` pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 170K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 180K Β· ⏱️ 28.04.2024): ``` conda install -c conda-forge agate ```
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PyOD (πŸ₯ˆ34 Β· ⭐ 8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
Autograd (πŸ₯ˆ34 Β· ⭐ 6.8K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.7K Β· πŸ“‹ 350 - 58% open Β· ⏱️ 16.03.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 8.2K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/yzhao062/pyod + git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 720K / month Β· πŸ“¦ 110 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 260 Β· ⏱️ 23.06.2023): ``` - pip install pyod + pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 96K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 420K Β· ⏱️ 26.06.2023): ``` - conda install -c conda-forge pyod + conda install -c conda-forge autograd ```
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Autograd (πŸ₯ˆ34 Β· ⭐ 6.8K) - Efficiently computes derivatives of numpy code. MIT +
PyOD (πŸ₯ˆ33 Β· ⭐ 8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 8.1K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.7K Β· πŸ“‹ 350 - 58% open Β· ⏱️ 16.03.2024): ``` - git clone https://github.com/HIPS/autograd + git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 260 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 720K / month Β· πŸ“¦ 110 Β· ⏱️ 09.02.2024): ``` - pip install autograd + pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 420K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 97K Β· ⏱️ 09.02.2024): ``` - conda install -c conda-forge autograd + conda install -c conda-forge pyod ```
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - 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“¦ 2.1K Β· πŸ“‹ 860 - 15% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2.1K Β· πŸ“‹ 860 - 15% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/serge-sans-paille/pythran @@ -7933,14 +7926,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pythran ```
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pyopencl (πŸ₯ˆ33 Β· ⭐ 1K Β· πŸ“ˆ) - OpenCL integration for Python, plus shiny features. MIT +
pyopencl (πŸ₯ˆ33 Β· ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 57K / month Β· πŸ“¦ 160 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 58K / month Β· πŸ“¦ 160 Β· ⏱️ 09.05.2024): ``` pip install pyopencl ``` @@ -7951,12 +7944,12 @@ _Libraries for connecting to, operating, and querying databases._
River (πŸ₯ˆ31 Β· ⭐ 4.8K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 470 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 480 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 34K / month Β· πŸ“¦ 51 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 35K / month Β· πŸ“¦ 51 Β· ⏱️ 23.04.2024): ``` pip install river ``` @@ -7967,19 +7960,19 @@ _Libraries for connecting to, operating, and querying databases._
causalml (πŸ₯ˆ31 Β· ⭐ 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“¦ 190 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“¦ 200 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 86K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 78K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): ``` pip install causalml ```
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 600 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 610 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor @@ -8011,24 +8004,24 @@ _Libraries for connecting to, operating, and querying databases._
anomalib (πŸ₯ˆ30 Β· ⭐ 3.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 580 Β· πŸ“₯ 9.5K Β· πŸ“¦ 63 Β· πŸ“‹ 820 - 14% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 580 Β· πŸ“₯ 9.7K Β· πŸ“¦ 64 Β· πŸ“‹ 830 - 14% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 18K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 20K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): ``` pip install anomalib ```
hdbscan (πŸ₯ˆ30 Β· ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 480 Β· πŸ“¦ 3.4K Β· πŸ“‹ 520 - 67% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 480 Β· πŸ“¦ 3.5K Β· πŸ“‹ 520 - 67% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 570K / month Β· πŸ“¦ 300 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 600K / month Β· πŸ“¦ 300 Β· ⏱️ 20.11.2023): ``` pip install hdbscan ``` @@ -8039,24 +8032,24 @@ _Libraries for connecting to, operating, and querying databases._
avalanche (πŸ₯ˆ30 Β· ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“₯ 20 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“₯ 21 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 11% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): ``` pip install avalanche-lib ```
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 640 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 650 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 31K / month Β· πŸ“¦ 77 Β· ⏱️ 08.03.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 33K / month Β· πŸ“¦ 77 Β· ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -8072,18 +8065,18 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 370K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 350K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ```
adapter-transformers (πŸ₯ˆ28 Β· ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 48 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 49 Β· πŸ“‹ 370 - 10% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers @@ -8100,31 +8093,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 21K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 23K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
dstack (πŸ₯ˆ28 Β· ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 73 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 6% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 76 Β· πŸ“¦ 14 Β· πŸ“‹ 670 - 6% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.7K / month Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.6K / month Β· ⏱️ 13.05.2024): ``` pip install dstack ```
pyclustering (πŸ₯‰27 Β· ⭐ 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 510 Β· πŸ“¦ 660 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 510 Β· πŸ“¦ 670 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 48K / month Β· πŸ“¦ 29 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 46K / month Β· πŸ“¦ 29 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` @@ -8135,24 +8128,24 @@ _Libraries for connecting to, operating, and querying databases._
AugLy (πŸ₯‰26 Β· ⭐ 4.9K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 300 Β· πŸ“¦ 110 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 22.03.2024): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 300 Β· πŸ“¦ 120 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 22.03.2024): ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ```
modAL (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 310 Β· πŸ“₯ 34 Β· πŸ“‹ 160 - 63% open Β· ⏱️ 01.06.2023): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 310 Β· πŸ“₯ 35 Β· πŸ“‹ 160 - 63% open Β· ⏱️ 01.06.2023): ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 260K / month Β· πŸ“¦ 25 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 290K / month Β· πŸ“¦ 27 Β· ⏱️ 15.05.2024): ``` pip install modAL ``` @@ -8164,23 +8157,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 47K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 45K / month Β· πŸ“¦ 22 Β· ⏱️ 07.06.2023): ``` pip install pycm ```
metric-learn (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Metric learning algorithms in Python. MIT -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 370 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 380 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 17K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 11K Β· ⏱️ 09.10.2023): +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 12K Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge metric-learn ``` @@ -8192,7 +8185,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 92K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 100K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8203,7 +8196,7 @@ _Libraries for connecting to, operating, and querying databases._
Trax (πŸ₯‰25 Β· ⭐ 8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 150 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 150 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/google/trax @@ -8220,7 +8213,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.4K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8231,12 +8224,12 @@ _Libraries for connecting to, operating, and querying databases._
TabPy (πŸ₯‰25 Β· ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 570 Β· πŸ“¦ 160 Β· πŸ“‹ 320 - 5% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 580 Β· πŸ“¦ 160 Β· πŸ“‹ 320 - 5% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.5K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8252,35 +8245,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
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BioPandas (πŸ₯‰23 Β· ⭐ 680 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 240 Β· πŸ“‹ 58 - 41% open Β· ⏱️ 19.09.2023): - - ``` - git clone https://github.com/rasbt/biopandas - ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 63K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): - ``` - pip install biopandas - ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge biopandas - ``` -
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MONAILabel (πŸ₯‰23 Β· ⭐ 540) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (πŸ₯‰23 Β· ⭐ 550) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 180 Β· πŸ“₯ 82K Β· πŸ“‹ 510 - 23% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 850 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.1K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -8292,7 +8269,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.4K / month Β· πŸ“¦ 14 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month Β· πŸ“¦ 14 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8301,6 +8278,22 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
+
BioPandas (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 + +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 250 Β· πŸ“‹ 58 - 41% open Β· ⏱️ 19.09.2023): + + ``` + git clone https://github.com/rasbt/biopandas + ``` +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 58K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): + ``` + pip install biopandas + ``` +- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge biopandas + ``` +
SUOD (πŸ₯‰22 Β· ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 510 Β· πŸ“‹ 14 - 78% open Β· ⏱️ 08.02.2024): @@ -8308,33 +8301,33 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 16K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 14K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): ``` pip install suod ```
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rrcf (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“¦ 61 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 23 Β· πŸ“‹ 57 - 31% open Β· ⏱️ 09.04.2024): ``` - git clone https://github.com/kLabUM/rrcf + git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.3K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 800 / month Β· ⏱️ 06.09.2023): ``` - pip install rrcf + pip install pythae ```
-
benchmark_VAE (πŸ₯‰19 Β· ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
rrcf (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 21 Β· πŸ“‹ 57 - 31% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“¦ 61 Β· πŸ“‹ 47 - 55% 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“₯ 560 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.4K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): ``` - pip install pythae + pip install rrcf ```
pykale (πŸ₯‰18 Β· ⭐ 430) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT @@ -8344,38 +8337,38 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 130 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 140 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
-
pymdp (πŸ₯‰18 Β· ⭐ 400) - A Python implementation of active inference for Markov Decision Processes. MIT +
pymdp (πŸ₯‰17 Β· ⭐ 400) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 70 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 71 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 380 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 450 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
-
NeuralCompression (πŸ₯‰15 Β· ⭐ 460) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰16 Β· ⭐ 460) - A collection of tools for neural compression enthusiasts. MIT - [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 94 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 100 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
Show 22 hidden projects... -- cleanlab (πŸ₯ˆ32 Β· ⭐ 8.7K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- cleanlab (πŸ₯ˆ32 Β· ⭐ 8.8K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - pysc2 (πŸ₯ˆ28 Β· ⭐ 7.9K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 @@ -8386,7 +8379,7 @@ _Libraries for connecting to, operating, and querying databases._ - Feature Engine (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - findspark (πŸ₯‰24 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - opyrator (πŸ₯‰22 Β· ⭐ 3K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT -- mlens (πŸ₯‰22 Β· ⭐ 830 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT +- mlens (πŸ₯‰22 Β· ⭐ 840 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - impyute (πŸ₯‰21 Β· ⭐ 350 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 diff --git a/history/2024-05-16_changes.md b/history/2024-05-16_changes.md new file mode 100644 index 0000000..861a6a5 --- /dev/null +++ b/history/2024-05-16_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._ + +- transformers (πŸ₯‡52 Β· ⭐ 130K Β· πŸ“ˆ) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +- scikit-learn (πŸ₯‡52 Β· ⭐ 58K Β· πŸ“ˆ) - scikit-learn: machine learning in Python. BSD-3 +- XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- StatsModels (πŸ₯‡45 Β· ⭐ 9.6K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +- Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K Β· πŸ“ˆ) - Fiona reads and writes geographic data files. BSD-3 +- imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- Coqui TTS (πŸ₯‡36 Β· ⭐ 30K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- ivy (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- YouTokenToMe (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. 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._ + +- Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed +- jax (πŸ₯‡45 Β· ⭐ 28K Β· πŸ“‰) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +- speechbrain (πŸ₯‡38 Β· ⭐ 8K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +- CuPy (πŸ₯‡37 Β· ⭐ 7.8K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +- metrics (πŸ₯ˆ35 Β· ⭐ 2K Β· πŸ“‰) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +- TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +- Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ“‰) - PyTorch extensions for fast R&D prototyping and.. MIT +- Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ“‰) - General purpose GPU compute framework built on Vulkan.. Apache-2 +- TimeSide (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ“‰) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed + diff --git a/history/2024-05-16_projects.csv b/history/2024-05-16_projects.csv new file mode 100644 index 0000000..b279370 --- /dev/null +++ b/history/2024-05-16_projects.csv @@ -0,0 +1,918 @@ +,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,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-05-16 10:19:16.000000,2024-05-16 10:19:16,1557.0,21.0,685.0,117.0,328.0,60.0,142.0,4644.0,Benchmarks of approximate nearest neighbor libraries in Python.,104.0,0,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 13:09:27.000,2024-05-09 17:47:27.000000,2024-05-09 17:47:27,338.0,28.0,162.0,56.0,200.0,,3.0,2191.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-05-09 17:47:33.000,2024.05.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-16 13:43:14.000000,2024-05-09 15:40:11,351.0,24.0,244.0,87.0,196.0,6.0,5.0,3456.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-05-09 15:40:21.000,2024.05.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-16 13:43:14.000000,2024-05-09 15:40:11,351.0,24.0,244.0,87.0,196.0,6.0,5.0,3456.0,Collection of database clients for python.,12.0,0,True,2024-05-09 15:40:21.000,2024.05.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-16 13:43:14.000000,2024-05-09 15:40:11,351.0,24.0,244.0,87.0,196.0,6.0,5.0,3456.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-05-09 15:40:21.000,2024.05.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-16 13:43:14.000000,2024-05-09 15:40:11,351.0,24.0,244.0,87.0,196.0,6.0,5.0,3456.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-05-09 15:40:21.000,2024.05.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-05-16 14:08:50.000000,2024-05-16 13:57:45,164588.0,4506.0,73916.0,7634.0,27899.0,2393.0,37268.0,185262.0,An Open Source Machine Learning Framework for Everyone.,4603.0,56,True,2024-03-09 00:23:14.000,2.16.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],376924.0,369682.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,7242.0,23037029.0,24080969.0,https://anaconda.org/conda-forge/tensorflow,2024-01-30 00:38:25.304,4604826.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-05-16 12:50:06.935265,2408.0,77126241.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-05-16 14:02:48.000000,2024-05-16 13:41:45,73103.0,3464.0,21135.0,1713.0,84148.0,13942.0,28911.0,78506.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4851.0,55,True,2024-04-24 16:12:17.000,2.3.0,52.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],463383.0,447340.0,https://pypi.org/project/torch,2024-04-24 15:44:27.000,16043.0,28933536.0,29603699.0,https://anaconda.org/pytorch/pytorch,2024-04-23 12:59:17.451,21430869.0,,,,,1.0,41371.0,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-05-16 14:23:02.000000,2024-05-16 13:32:21,15897.0,758.0,24928.0,1097.0,15714.0,1094.0,13934.0,126152.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2575.0,52,True,2024-05-06 16:09:45.000,4.40.2,141.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",174098.0,169077.0,https://pypi.org/project/transformers,2024-05-06 16:07:56.000,5021.0,27641839.0,27678067.0,https://anaconda.org/conda-forge/transformers,2024-05-07 05:35:22.641,1666528.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +9,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 09:43:38.000,2024-05-16 13:47:35.000000,2024-05-16 13:47:35,31303.0,323.0,24999.0,2141.0,17188.0,2073.0,9285.0,58309.0,scikit-learn: machine learning in Python.,3117.0,52,True,2024-04-09 20:07:22.000,1.4.2,78.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],796618.0,775248.0,https://pypi.org/project/scikit-learn,2024-05-06 16:31:43.000,21370.0,67303273.0,67891718.0,https://anaconda.org/conda-forge/scikit-learn,2024-05-07 23:17:12.106,28244948.0,,,,,1.0,953.0,2.0,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-05-16 14:13:10.000000,2024-05-16 04:28:44,32456.0,839.0,5024.0,348.0,10746.0,1825.0,8448.0,12519.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1631.0,50,True,2024-04-02 21:56:52.000,1.13.0,101.0,scipy,conda-forge/scipy,,,,1036314.0,995546.0,https://pypi.org/project/scipy,2024-04-02 21:41:20.000,40768.0,107178573.0,108323158.0,https://anaconda.org/conda-forge/scipy,2024-05-04 08:53:53.660,47913462.0,,,,,1.0,401644.0,,,,,,,,,,,,,,,,,,, +11,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-05-16 11:47:46.000000,2024-05-15 17:33:01,10681.0,364.0,19349.0,1909.0,7181.0,180.0,11685.0,61041.0,Deep Learning for humans.,1297.0,48,True,2024-04-26 23:21:04.000,3.3.3,98.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1304.0,,https://pypi.org/project/keras,2024-04-22 23:37:45.000,1304.0,18311863.0,18385917.0,https://anaconda.org/conda-forge/keras,2024-04-27 08:28:33.749,3480580.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-05-16 05:57:27.000000,2024-05-15 14:24:51,50307.0,545.0,7412.0,594.0,17972.0,1535.0,9064.0,19373.0,matplotlib: plotting with Python.,1673.0,48,True,2024-05-15 23:51:33.000,3.9.0,124.0,matplotlib,conda-forge/matplotlib,,,,1235371.0,1191451.0,https://pypi.org/project/matplotlib,2024-05-15 23:37:04.000,43920.0,63489644.0,63990070.0,https://anaconda.org/conda-forge/matplotlib,2024-05-06 01:03:53.090,23520058.0,,,,,1.0,,-2.0,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-05-16 12:56:00.000000,2024-05-14 16:01:21,17786.0,590.0,2123.0,220.0,4829.0,117.0,2997.0,11760.0,Python Imaging Library (Fork).,468.0,48,True,2024-04-01 12:34:53.000,10.3.0,97.0,Pillow,conda-forge/pillow,,,,1663335.0,1659088.0,https://pypi.org/project/Pillow,2024-04-01 12:17:01.000,4247.0,96961271.0,97813727.0,https://anaconda.org/conda-forge/pillow,2024-04-03 15:56:48.771,39212990.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-05-16 15:02:23.000000,2024-05-15 18:00:11,57644.0,486.0,4307.0,295.0,13147.0,5028.0,8737.0,12460.0,A computer algebra system written in pure Python.,1302.0,47,True,2024-03-31 22:49:13.000,1.12.1rc1,55.0,sympy,conda-forge/sympy,,,,138582.0,135560.0,https://pypi.org/project/sympy,2024-03-31 22:48:43.000,3022.0,21851857.0,21913256.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5494618.0,,,,,1.0,541404.0,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-05-16 14:22:16.000000,2024-05-16 11:32:01,6324.0,199.0,2800.0,314.0,4455.0,805.0,3344.0,32149.0,Streamlit A faster way to build and share data apps.,229.0,46,True,2024-05-02 17:44:20.000,1.34.0,221.0,streamlit,,,,,382567.0,380313.0,https://pypi.org/project/streamlit,2024-05-02 17:44:12.000,2254.0,4330041.0,4330041.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-05-16 14:04:04.000000,2024-05-16 12:58:15,41038.0,1182.0,27972.0,2031.0,46589.0,199.0,,38515.0,Apache Spark Python API.,3065.0,45,True,2024-04-18 08:17:20.000,3.4.3,44.0,pyspark,conda-forge/pyspark,,,['spark'],1389.0,,https://pypi.org/project/pyspark,2024-04-18 08:17:20.000,1389.0,29194107.0,29260974.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3142769.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-05-16 14:59:00.000000,2024-05-16 02:29:10,21622.0,951.0,5298.0,471.0,27607.0,3696.0,14261.0,31400.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1016.0,45,True,2024-05-14 23:39:54.000,ray-2.22.0,105.0,ray,conda-forge/ray-tune,,,,16130.0,15442.0,https://pypi.org/project/ray,2024-05-14 23:39:50.000,688.0,4575871.0,4581138.0,https://anaconda.org/conda-forge/ray-tune,2024-04-27 07:43:08.400,215883.0,,,,,1.0,213.0,,,,,,,,,,,,,,,,,,, +18,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-05-16 14:11:37.000000,2024-05-16 05:06:45,20735.0,1294.0,2572.0,322.0,13508.0,1596.0,3854.0,28186.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",693.0,45,True,2024-05-09 23:28:46.000,jax-v0.4.28,162.0,jax,conda-forge/jaxlib,,,,26749.0,25217.0,https://pypi.org/project/jax,2024-05-09 23:23:10.000,1532.0,6684928.0,6710052.0,https://anaconda.org/conda-forge/jaxlib,2024-05-03 19:45:09.278,1180833.0,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,, +19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-05-16 11:32:12.000000,2024-05-16 11:32:12,6841.0,90.0,8665.0,912.0,5142.0,443.0,4766.0,25632.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",640.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,93064.0,91298.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1766.0,19284971.0,19388981.0,https://anaconda.org/conda-forge/xgboost,2024-04-18 01:21:37.436,4781272.0,,,,,1.0,8566.0,3.0,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-05-16 14:10:17.000000,2024-05-16 11:57:07,48345.0,1716.0,5439.0,722.0,46173.0,1859.0,17020.0,21656.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1197.0,45,True,2024-04-09 11:19:43.000,2.6.1,67.0,paddlepaddle,,,,['paddle'],5209.0,5103.0,https://pypi.org/project/paddlepaddle,2024-03-19 06:55:39.000,106.0,263787.0,263952.0,,,,,,,,1.0,15374.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-05-15 11:04:54.000000,2024-05-14 16:55:06,20493.0,105.0,4161.0,443.0,6070.0,776.0,6889.0,18884.0,"Interactive Data Visualization in the browser, from Python.",693.0,45,True,2024-04-11 21:02:24.000,3.4.1,201.0,bokeh,conda-forge/bokeh,,,,89287.0,87720.0,https://pypi.org/project/bokeh,2024-05-08 19:44:08.000,1567.0,5164456.0,5459792.0,https://anaconda.org/conda-forge/bokeh,2024-04-12 05:55:15.282,13880825.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-05-15 14:24:43.000000,2024-05-14 16:08:22,15325.0,45.0,2824.0,280.0,3882.0,2780.0,2754.0,9597.0,Statsmodels: statistical modeling and econometrics in Python.,426.0,45,True,2024-04-17 08:41:57.000,0.14.2,37.0,statsmodels,conda-forge/statsmodels,,,,127575.0,123632.0,https://pypi.org/project/statsmodels,2024-04-17 08:41:57.000,3943.0,17144417.0,17422494.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,13069665.0,,,,,1.0,31.0,1.0,,,,,,,,,,,,,,,,,, +23,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-05-16 15:08:49.000000,2024-05-16 10:18:10,6618.0,317.0,2186.0,156.0,3722.0,509.0,3698.0,29434.0,"Wrap UIs around any model, share with anyone.",321.0,44,True,2024-05-15 22:32:26.000,4.31.3,566.0,gradio,,,,,30599.0,30048.0,https://pypi.org/project/gradio,2024-05-15 22:32:26.000,551.0,6812769.0,6812769.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-05-15 10:34:38.000000,2024-05-15 10:11:33,16131.0,15.0,4295.0,556.0,4000.0,117.0,5502.0,28873.0,Industrial-strength Natural Language Processing (NLP) in Python.,751.0,44,True,2024-02-15 19:16:59.000,3.7.4,230.0,spacy,conda-forge/spacy,,,,90483.0,88100.0,https://pypi.org/project/spacy,2024-04-22 09:55:45.000,2383.0,12322448.0,12395637.0,https://anaconda.org/conda-forge/spacy,2024-04-04 16:04:13.461,3439903.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +25,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-05-16 14:21:31.000000,2024-05-15 17:07:31,10284.0,120.0,3256.0,246.0,10103.0,732.0,6184.0,27064.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",945.0,44,True,2024-05-01 22:58:16.000,2.2.4,271.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],33637.0,32288.0,https://pypi.org/project/pytorch-lightning,2024-05-01 22:58:16.000,1349.0,5105912.0,5130036.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-04-12 18:53:30.868,1124025.0,,,,,2.0,7535.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,, +26,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-05-16 14:46:42.000000,2024-05-16 09:34:02,5845.0,431.0,3948.0,288.0,8162.0,1461.0,2424.0,17409.0,Open source platform for the machine learning lifecycle.,727.0,44,True,2024-05-09 18:07:47.000,2.12.2,97.0,mlflow,conda-forge/mlflow,,,,35901.0,35132.0,https://pypi.org/project/mlflow,2024-05-09 16:13:11.000,769.0,14103908.0,14144900.0,https://anaconda.org/conda-forge/mlflow,2024-05-10 07:49:17.766,1926652.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +27,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-05-13 19:25:31.000000,2024-05-13 19:25:31,6490.0,114.0,2487.0,278.0,1638.0,1509.0,1411.0,15375.0,The interactive graphing library for Python This project now includes Plotly Express!.,263.0,44,True,2024-05-01 14:04:11.000,5.22.0,298.0,plotly,conda-forge/plotly,,,,271135.0,265695.0,https://pypi.org/project/plotly,2024-05-01 14:00:07.000,5431.0,16155668.0,16286573.0,https://anaconda.org/conda-forge/plotly,2024-05-04 13:44:40.868,5788864.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,10304.0,,,,,,,,,,, +28,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-05-15 18:03:53.000000,2024-05-15 15:05:26,7686.0,87.0,3141.0,282.0,3761.0,331.0,2988.0,14257.0,Network Analysis in Python.,718.0,44,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,,261144.0,252813.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,8331.0,53834026.0,54183680.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,15734462.0,,,,,1.0,71.0,,,,,,,,,,,,,,,,,,, +29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-05-16 08:14:03.000000,2024-05-15 15:27:33,8196.0,98.0,1674.0,211.0,5825.0,1061.0,4161.0,12053.0,Parallel computing with task scheduling.,600.0,44,True,2024-05-07 09:10:44.000,2024.5.0,196.0,dask,conda-forge/dask,,,,62292.0,60197.0,https://pypi.org/project/dask,2024-05-03 21:20:19.000,2095.0,8276272.0,8507741.0,https://anaconda.org/conda-forge/dask,2024-05-04 00:43:29.012,11110542.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,, +30,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-05-16 13:45:04.000000,2024-05-16 13:44:13,4887.0,228.0,2040.0,1684.0,4740.0,288.0,2687.0,11768.0,WebGL2 powered visualization framework.,263.0,44,True,2024-05-10 15:36:17.000,0.9.1,655.0,pydeck,conda-forge/pydeck,,,['jupyter'],7945.0,7570.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,87.0,3542098.0,4006950.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,517266.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-05-06 07:39:07.905,288.0,454710.0,,,,,,,,,,, +31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-05-16 07:26:47.000000,2024-05-13 02:15:10,5828.0,58.0,1630.0,192.0,4993.0,663.0,1230.0,6563.0,TensorFlows Visualization Toolkit.,319.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],236171.0,234203.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,1968.0,28734735.0,28833920.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4661729.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +32,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-05-14 20:49:09.000000,2024-05-14 18:39:29,2657.0,54.0,3172.0,240.0,864.0,822.0,1631.0,21750.0,A game theoretic approach to explain the output of any machine learning model.,239.0,43,True,2024-05-07 11:40:34.000,0.45.1,103.0,shap,conda-forge/shap,,,,18114.0,17441.0,https://pypi.org/project/shap,2024-05-07 11:40:34.000,673.0,6937609.0,7005355.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,2777599.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,, +33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-05-14 14:22:19.000000,2024-05-08 16:35:01,2733.0,74.0,3604.0,437.0,3214.0,315.0,2424.0,16948.0,Open standard for machine learning interoperability.,317.0,43,True,2024-03-25 15:40:18.000,1.16.0,32.0,onnx,conda-forge/onnx,,,,28571.0,27655.0,https://pypi.org/project/onnx,2024-03-25 15:25:07.000,916.0,5583932.0,5605252.0,https://anaconda.org/conda-forge/onnx,2024-03-26 22:34:37.040,989880.0,,,,,1.0,20518.0,,,,,,,,,,,,,,,,,,, +34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-05-16 03:35:11.000000,2024-05-16 03:35:11,3469.0,49.0,3773.0,436.0,3134.0,383.0,2966.0,16120.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",301.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,33822.0,32814.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,1008.0,7697055.0,7751904.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2298426.0,,,,,2.0,222163.0,,,,,,,,,,,,,,,,,,, +35,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-05-10 15:09:58.000000,2024-04-25 14:36:49,3234.0,5.0,1862.0,260.0,1106.0,150.0,2367.0,12001.0,Statistical data visualization in Python.,212.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,415896.0,406455.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,9441.0,17419975.0,17605665.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,8727313.0,,,,,1.0,391.0,,,,,,,,,,,,,,,,,,, +36,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-05-16 15:19:16.000000,2024-05-16 14:31:34,2238.0,511.0,1303.0,178.0,2598.0,545.0,683.0,11273.0,Development repository for the Triton language and compiler.,258.0,43,True,2024-04-05 02:47:42.000,2.3.0,193.0,triton,,,,,25675.0,25505.0,https://pypi.org/project/triton,2024-04-05 02:47:42.000,170.0,11933255.0,11933255.0,,,,,,,,1.0,,,,triton-lang/triton,,,,,,,,,,,,,,,, +37,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-05-15 19:22:03.000000,2024-05-15 19:22:03,7479.0,200.0,1991.0,419.0,1065.0,829.0,916.0,20605.0,Data Apps & Dashboards for Python. No JavaScript Required.,154.0,42,True,2024-05-03 17:00:38.000,2.17.0,178.0,dash,conda-forge/dash,,,,64099.0,62956.0,https://pypi.org/project/dash,2024-05-03 16:56:05.000,1143.0,2890316.0,2917610.0,https://anaconda.org/conda-forge/dash,2024-05-04 04:54:12.137,1282779.0,,,,,1.0,72.0,,,,,,,,,,,,,,,,,,, +38,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-05-16 11:34:54.000000,2024-05-10 08:33:52,3848.0,56.0,6848.0,413.0,5254.0,995.0,2375.0,15522.0,"Datasets, Transforms and Models specific to Computer Vision.",586.0,42,True,2024-04-24 16:20:12.000,0.18.0,44.0,torchvision,conda-forge/torchvision,,,['pytorch'],4859.0,21.0,https://pypi.org/project/torchvision,2024-04-24 15:47:57.000,4838.0,13265157.0,13294940.0,https://anaconda.org/conda-forge/torchvision,2024-05-16 09:07:24.923,1114947.0,,,,,1.0,37674.0,,,,,,,,,,,,,,,,,,, +39,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-05-16 14:55:24.000000,2024-05-16 05:27:45,11667.0,4196.0,976.0,59.0,1342.0,574.0,1759.0,8917.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",228.0,42,True,2024-05-16 06:18:55.000,1.37.12,804.0,litellm,,,,others,1933.0,1760.0,https://pypi.org/project/litellm,2024-05-16 06:05:45.000,173.0,581117.0,581359.0,,,,,,,,1.0,242.0,,,,,,,,,,,,,,,,,,, +40,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-05-16 15:06:40.000000,2024-05-16 03:13:29,6519.0,392.0,610.0,54.0,4529.0,815.0,2307.0,8315.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,176.0,42,True,2024-05-07 23:10:29.000,0.17.0,274.0,wandb,conda-forge/wandb,,,,46471.0,45263.0,https://pypi.org/project/wandb,2024-05-07 22:08:37.000,1208.0,13212530.0,13223404.0,https://anaconda.org/conda-forge/wandb,2024-03-25 23:14:36.046,500245.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,, +41,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-05-16 07:34:47.000000,2024-05-14 17:31:17,13977.0,128.0,2198.0,187.0,4410.0,773.0,2074.0,5897.0,Image processing in Python.,660.0,42,False,2024-04-20 19:25:20.000,0.23.2,65.0,scikit-image,conda-forge/scikit-image,,,,186619.0,181127.0,https://pypi.org/project/scikit-image,2024-04-20 19:25:20.000,5492.0,12949104.0,13081755.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6234642.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-05-16 04:37:54.000000,2024-05-16 00:34:25,2293.0,135.0,3870.0,335.0,2723.0,1067.0,1614.0,32999.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",308.0,41,True,2024-04-23 23:26:47.000,0.14.2,90.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],7180.0,7021.0,https://pypi.org/project/deepspeed,2024-04-23 23:26:47.000,159.0,530583.0,530928.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17964.0,1.0,,,,,,,,,,,,,,,,,,,, +43,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 05:51:12.000,2024-05-16 07:02:45.732000,2024-05-15 18:06:22,2259.0,91.0,4582.0,306.0,472.0,64.0,806.0,30016.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",137.0,41,True,2024-05-15 18:19:44.000,1.0.3,57.0,timm,conda-forge/timm,,,['pytorch'],29193.0,28460.0,https://pypi.org/project/timm,2024-05-15 18:16:15.000,733.0,5137454.0,5250021.0,https://anaconda.org/conda-forge/timm,2024-05-16 07:02:45.732,149494.0,,,,,1.0,6559135.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,, +44,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-05-16 12:59:53.010507,2024-05-16 12:01:03,19819.0,753.0,2588.0,273.0,20384.0,723.0,10124.0,27252.0,"A cloud-native vector database, storage for next generation AI applications.",272.0,41,True,2024-05-14 13:00:20.000,2.4.2,95.0,pymilvus,,milvusdb/milvus,,,120.0,,https://pypi.org/project/pymilvus,2024-05-14 13:00:20.000,120.0,501008.0,770501.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-05-16 12:59:53.010507,43.0,14869325.0,1.0,218381.0,,,,,,,,,,,,,,,,,,, +45,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-05-16 13:40:26.000000,2024-05-14 06:21:19,1386.0,63.0,2322.0,132.0,418.0,1049.0,929.0,13964.0,Multilingual Sentence & Image Embeddings with BERT.,159.0,41,True,2024-04-17 13:16:06.000,2.7.0,51.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],34057.0,32829.0,https://pypi.org/project/sentence-transformers,2024-04-17 13:15:42.000,1228.0,4268794.0,4274390.0,https://anaconda.org/conda-forge/sentence-transformers,2024-04-17 14:59:51.983,246267.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +46,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-05-14 23:19:34.000000,2024-05-13 17:24:06,9263.0,76.0,1145.0,140.0,5443.0,214.0,4415.0,13191.0,ML Experiments and Data Management with Git.,296.0,41,True,2024-05-13 17:26:59.000,3.50.2,524.0,dvc,conda-forge/dvc,,,,15161.0,15046.0,https://pypi.org/project/dvc,2024-05-13 17:26:59.000,115.0,506037.0,548572.0,https://anaconda.org/conda-forge/dvc,2024-05-14 07:22:35.709,1851574.0,,,,,1.0,40829.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +47,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-05-12 00:07:37.000000,2024-05-12 00:07:36,8263.0,26.0,3321.0,478.0,705.0,53.0,2142.0,13081.0,A toolkit for making real world machine learning and data analysis applications in C++.,195.0,41,False,2024-04-03 23:33:43.000,19.24.4,37.0,dlib,conda-forge/dlib,,,,27298.0,27098.0,https://pypi.org/project/dlib,2024-04-03 23:33:43.000,200.0,496040.0,511144.0,https://anaconda.org/conda-forge/dlib,2024-04-04 08:17:12.401,698789.0,,,,,2.0,25434.0,,,,,,,,,,,,,,,,,,, +48,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-04-19 08:49:48.000000,2024-04-05 06:11:40,14511.0,2.0,2821.0,465.0,1456.0,272.0,1516.0,13080.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,41,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,277975.0,273840.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,4135.0,21773356.0,21800569.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2530821.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +49,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-05-15 10:18:31.000000,2024-05-15 05:03:08,3663.0,41.0,765.0,141.0,1361.0,166.0,1779.0,8968.0,Declarative statistical visualization library for Python.,163.0,41,True,2024-03-30 15:36:52.000,5.3.0,40.0,altair,conda-forge/altair,,,,131620.0,130865.0,https://pypi.org/project/altair,2024-03-30 15:24:57.000,755.0,23963580.0,24040756.0,https://anaconda.org/conda-forge/altair,2024-03-30 18:57:22.082,2238098.0,,,,,1.0,123.0,,,vega/altair,,,,,,,,,,,,,,,, +50,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-05-16 15:11:47.000000,2024-05-16 12:29:19,9870.0,114.0,1928.0,225.0,3933.0,278.0,3018.0,8202.0,Bayesian Modeling and Probabilistic Programming in Python.,490.0,41,True,2024-05-13 14:33:39.000,5.15.0,84.0,pymc3,conda-forge/pymc3,,,,3470.0,3279.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,191.0,850456.0,856637.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,561032.0,,,,,1.0,1939.0,,,,,,,,,,,,,,,,,,, +51,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-05-16 11:33:37.000000,2024-05-16 11:33:33,47917.0,488.0,1148.0,192.0,387.0,507.0,1757.0,7776.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1233.0,41,True,2024-04-18 20:19:33.000,1.2.5,111.0,catboost,conda-forge/catboost,,,,399.0,13.0,https://pypi.org/project/catboost,2024-04-18 18:24:32.000,386.0,2010447.0,2049251.0,https://anaconda.org/conda-forge/catboost,2024-04-18 20:39:24.300,1498657.0,,,,,2.0,249794.0,,,,,,,,,,,,,,,,,,, +52,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-05-02 16:09:06.000000,2023-01-30 18:15:21,1757.0,,8557.0,1062.0,1452.0,92.0,1721.0,33967.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,54700.0,53197.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1503.0,443121.0,448804.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,278470.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-04-27 22:14:28.000000,2024-04-27 22:14:00,2765.0,18.0,7515.0,610.0,2225.0,216.0,1589.0,25683.0,The fastai deep learning library.,667.0,40,True,2024-04-27 22:14:28.000,2.7.15,149.0,fastai,,,,['pytorch'],17548.0,17259.0,https://pypi.org/project/fastai,2024-04-27 22:14:28.000,289.0,367058.0,367058.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +54,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-05-07 12:46:18.000000,2024-03-21 15:05:22,32610.0,16.0,4534.0,350.0,6359.0,117.0,6642.0,18041.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,40,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4203.0,4144.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,59.0,112808.0,112808.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-05-13 19:55:41.000000,2024-04-28 11:51:15,1194.0,11.0,2197.0,238.0,555.0,139.0,1136.0,11988.0,Download market data from Yahoo! Finances API.,110.0,40,True,2024-04-16 21:20:42.000,0.2.38,110.0,yfinance,ranaroussi/yfinance,,,,38641.0,38100.0,https://pypi.org/project/yfinance,2024-04-16 21:20:42.000,541.0,1485440.0,1488096.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,90322.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-05-06 09:49:39.000000,2024-05-06 09:49:38,1773.0,14.0,726.0,120.0,586.0,81.0,874.0,8512.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,40,True,2024-04-17 21:37:50.000,0.19.1,95.0,tokenizers,conda-forge/tokenizers,,,,77620.0,76881.0,https://pypi.org/project/tokenizers,2024-04-17 21:36:02.000,739.0,25862379.0,25897410.0,https://anaconda.org/conda-forge/tokenizers,2024-04-18 01:39:43.525,1611462.0,,,,,1.0,47.0,1.0,,,,,,,,,,,,,,,,,, +57,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-05-16 15:12:37.000000,2024-05-16 12:09:58,1433.0,144.0,809.0,96.0,1384.0,135.0,1274.0,7082.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",252.0,40,True,2024-05-10 17:47:54.000,0.30.1,51.0,accelerate,conda-forge/accelerate,,,['pytorch'],37253.0,36160.0,https://pypi.org/project/accelerate,2024-05-10 17:41:43.000,1093.0,9020564.0,9024846.0,https://anaconda.org/conda-forge/accelerate,2024-05-11 15:02:26.384,132760.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-05-07 16:37:16.000000,2024-05-07 16:32:35,1851.0,70.0,2208.0,164.0,847.0,87.0,1014.0,6705.0,Python Data. Leaflet.js Maps.,166.0,40,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,38023.0,37386.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,637.0,1231440.0,1299181.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2709655.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-05-16 14:41:58.000000,2024-05-15 14:01:40,1940.0,57.0,895.0,105.0,1606.0,436.0,1221.0,4220.0,Python tools for geographic data.,223.0,40,True,2024-04-28 13:49:29.000,0.14.4,54.0,geopandas,conda-forge/geopandas,,,['pandas'],37491.0,35086.0,https://pypi.org/project/geopandas,2024-04-28 13:49:24.000,2405.0,6258908.0,6335240.0,https://anaconda.org/conda-forge/geopandas,2024-04-28 20:22:12.956,3586384.0,,,,,1.0,2534.0,,,,,,,,,,,,,,,,,,, +60,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-05-15 19:52:14.000000,2024-05-15 19:52:10,6283.0,106.0,1512.0,106.0,4259.0,676.0,720.0,4201.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",306.0,40,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],17895.0,17591.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,304.0,4285952.0,4286761.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,29132.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +61,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 01:03:33.000,2024-05-16 06:42:10.000000,2024-05-16 02:18:16,3675.0,162.0,1091.0,136.0,3037.0,290.0,1190.0,2049.0,A library for training and deploying machine learning models on Amazon SageMaker.,438.0,40,True,2024-05-15 19:45:17.000,2.220.0,586.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",4085.0,3953.0,https://pypi.org/project/sagemaker,2024-05-15 19:45:17.000,132.0,25991429.0,26008666.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-05-16 02:58:34.789,775695.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +62,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-05-16 11:26:19.000000,2024-05-08 06:53:19,5758.0,68.0,710.0,54.0,5002.0,1519.0,2330.0,1544.0,A distributed task scheduler for Dask.,324.0,40,True,2024-05-03 21:20:23.000,2024.5.0,228.0,distributed,conda-forge/distributed,,,,35075.0,34337.0,https://pypi.org/project/distributed,2024-05-03 21:20:23.000,738.0,3828072.0,4111768.0,https://anaconda.org/conda-forge/distributed,2024-05-03 22:43:44.576,13617412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-05-16 05:26:09.000000,2024-05-16 00:53:30,1095.0,76.0,3409.0,477.0,971.0,452.0,1935.0,28499.0,A library for efficient similarity search and clustering of dense vectors.,173.0,39,True,2024-05-14 13:00:20.000,2.4.2,95.0,pymilvus,conda-forge/faiss,,,,3761.0,3641.0,https://pypi.org/project/pymilvus,2024-05-14 13:00:20.000,120.0,501008.0,525399.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1170798.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +64,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-05-16 11:00:01.190646,2024-05-16 10:39:34,8540.0,26.0,2187.0,208.0,4174.0,22.0,1925.0,20171.0,Build multimodal AI applications with cloud-native stack.,176.0,39,True,2024-04-10 14:42:19.000,3.25.1,2461.0,jina,conda-forge/jina-core,jinaai/jina,,,1750.0,1723.0,https://pypi.org/project/jina,2024-04-10 14:39:06.000,27.0,38298.0,65886.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,63023.0,https://hub.docker.com/r/jinaai/jina,2024-05-16 11:00:01.190646,8.0,1306582.0,2.0,,,,,,,,,,,,,,,,,,,, +65,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-04-24 11:04:13.000000,2024-04-08 03:19:54,4515.0,3.0,4346.0,435.0,1691.0,382.0,1452.0,15289.0,Topic Modelling for Humans.,451.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,60704.0,59403.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,1301.0,5512228.0,5545225.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1252241.0,,,,,1.0,4556.0,,,piskvorky/gensim,,,,,,,,,,,,,,,, +66,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-05-15 15:53:54.000000,2024-05-03 17:11:18,5942.0,52.0,2064.0,202.0,1190.0,83.0,2188.0,13596.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,261.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3372.0,3243.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,129.0,208339.0,208866.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,24287.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-05-15 13:25:14.000000,2024-05-15 13:25:14,17606.0,446.0,952.0,117.0,3513.0,102.0,1535.0,9754.0,A hyperparameter optimization framework.,263.0,39,False,2024-04-01 06:04:15.000,3.6.1,64.0,optuna,conda-forge/optuna,,,,15283.0,14462.0,https://pypi.org/project/optuna,2024-04-01 06:04:15.000,821.0,2548223.0,2568416.0,https://anaconda.org/conda-forge/optuna,2024-03-29 06:40:40.525,949083.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +68,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-05-16 14:56:42.000000,2024-05-10 03:41:21,4507.0,224.0,1285.0,103.0,3742.0,821.0,1456.0,7455.0,A unified framework for machine learning with time series.,357.0,39,True,2024-05-01 13:08:23.000,0.29.0,67.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2755.0,2646.0,https://pypi.org/project/sktime,2024-05-01 13:08:23.000,109.0,920982.0,949001.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-05-04 19:43:57.141,952621.0,,,,,1.0,91.0,,,sktime/sktime,,,,,,,,,,,,,,,, +69,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-05-16 13:01:52.000000,2024-05-16 13:01:46,4423.0,226.0,593.0,84.0,2364.0,221.0,705.0,5562.0,Flax is a neural network library for JAX that is designed for flexibility.,220.0,39,True,2024-04-30 09:57:17.000,0.8.3,44.0,flax,conda-forge/flax,,,['jax'],7721.0,7330.0,https://pypi.org/project/flax,2024-04-30 09:57:17.000,391.0,4185346.0,4186627.0,https://anaconda.org/conda-forge/flax,2024-04-30 18:49:11.574,48653.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,, +70,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-05-15 23:37:39.000000,2024-05-14 08:55:08,2267.0,20.0,555.0,88.0,821.0,272.0,918.0,3692.0,Manipulation and analysis of geometric objects.,153.0,39,True,2024-04-16 22:26:21.000,2.0.4,123.0,shapely,conda-forge/shapely,,,,71308.0,68770.0,https://pypi.org/project/shapely,2024-04-16 22:26:21.000,2538.0,24780724.0,24987490.0,https://anaconda.org/conda-forge/shapely,2024-04-17 10:26:25.080,9299685.0,,,,,2.0,3332.0,,,,,,,,,,,,,,,,,,, +71,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 03:31:13.000,2024-05-16 13:32:12.000000,2024-05-15 19:01:02,17968.0,116.0,1286.0,83.0,7831.0,530.0,4288.0,2566.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,370.0,39,True,2024-04-19 18:04:01.000,1.7.0,78.0,mne,conda-forge/mne,,,,4180.0,3835.0,https://pypi.org/project/mne,2024-04-19 18:04:01.000,345.0,115921.0,123477.0,https://anaconda.org/conda-forge/mne,2024-04-19 20:25:11.111,362696.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-05-16 13:21:07.000000,2024-05-16 07:32:24,6165.0,31.0,7230.0,429.0,2897.0,1207.0,7963.0,38977.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",195.0,38,True,2024-03-29 09:49:07.000,2.7.5,44.0,paddleocr,,,,['paddle'],2631.0,2585.0,https://pypi.org/project/paddleocr,2024-03-29 09:49:07.000,46.0,169608.0,169608.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-05-16 12:34:03.000000,2024-02-05 13:23:18,2706.0,,9204.0,369.0,3140.0,1566.0,6664.0,28003.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,38,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2552.0,2488.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,64.0,206858.0,206858.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +74,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-05-16 13:48:45.000000,2024-05-16 13:48:45,35303.0,404.0,12994.0,945.0,24787.0,1187.0,,23248.0,Apache Flink Python API.,1858.0,38,True,2024-01-15 16:28:13.000,1.18.1,47.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-03-15 08:32:38.000,24.0,76696.0,76696.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +75,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6813.0,1069.0,11124.0,1805.0,7758.0,20724.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7389.0,7267.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,116.0,595657.0,596076.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10762.0,,,,,2.0,26891.0,,,apache/mxnet,,,,,,,,,6.0,,,,,,, +76,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 16:03:03.000,2024-05-15 20:58:33.000000,2024-05-13 13:31:41,7520.0,139.0,3535.0,255.0,2987.0,960.0,2608.0,20264.0,Graph Neural Network Library for PyTorch.,494.0,38,True,2024-04-19 11:59:51.000,2.5.3,44.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],243.0,,https://pypi.org/project/torch-geometric,2024-04-19 11:59:51.000,243.0,287839.0,288739.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-05-04 18:04:48.733,41407.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +77,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-05-15 21:20:21.000000,2024-05-15 03:36:24,880.0,86.0,1593.0,129.0,777.0,426.0,514.0,13495.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,142.0,38,True,2024-05-14 00:43:00.000,1.4.7,61.0,albumentations,conda-forge/albumentations,,,['pytorch'],23893.0,23386.0,https://pypi.org/project/albumentations,2024-05-04 05:34:03.000,507.0,2137325.0,2140891.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,164071.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +78,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-05-16 09:34:52.000000,2024-05-16 06:52:19,4106.0,163.0,2963.0,168.0,4714.0,512.0,2290.0,13050.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",289.0,38,True,2024-05-13 01:10:39.000,2.2.1,453.0,dgl,,,,,365.0,238.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,127.0,101155.0,101155.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-05-15 08:14:23.000000,2024-04-12 16:27:53,4816.0,44.0,4965.0,383.0,701.0,603.0,1344.0,12309.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,38,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,1528.0,1359.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,169.0,203731.0,243027.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,198731.0,,,,,1.0,3762152.0,,,,,,,,,,,,,,,,,,, +80,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-05-16 05:33:39.000000,2024-05-07 19:29:08,1444.0,69.0,1630.0,150.0,782.0,216.0,561.0,12099.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,123.0,38,True,2024-05-07 19:57:59.000,4.8.3,61.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",3327.0,3145.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,182.0,756218.0,760846.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,430405.0,,,,,2.0,96.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,, +81,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2511.0,541.0,4118.0,685.0,2087.0,9855.0,"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,,,,15210.0,15038.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,568774.0,594376.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2406649.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +82,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-05-10 05:50:45.000000,2024-05-10 05:50:45,953.0,28.0,1116.0,123.0,287.0,25.0,696.0,9587.0,Unsupervised text tokenizer for Neural Network-based text generation.,87.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,66279.0,64751.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1528.0,22373489.0,22391151.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-19 05:24:18.341,787931.0,,,,,1.0,36899.0,,,,,,,,,,,,,,,,,,, +83,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-05-16 12:33:16.000000,2024-05-16 07:51:37,2737.0,63.0,937.0,129.0,1859.0,269.0,636.0,9463.0,Geometric Computer Vision Library for Spatial AI.,261.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],10005.0,9766.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,239.0,1461722.0,1464743.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,123237.0,,,,,1.0,1104.0,,,,,,,,,,,,,,,,,,, +84,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-05-03 20:31:35.000000,2024-04-28 18:44:58,5223.0,69.0,1723.0,131.0,992.0,350.0,1933.0,8492.0,"An open-source, low-code machine learning library in Python.",136.0,38,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,5699.0,5669.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,30.0,364580.0,365605.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,45455.0,,,,,2.0,694.0,,,,,,,,,,,,,,,,,,, +85,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-05-16 13:44:35.000000,2024-05-16 07:59:14,9813.0,147.0,1279.0,129.0,1200.0,124.0,947.0,7970.0,A PyTorch-based Speech Toolkit.,234.0,38,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1882.0,1851.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,3094498.0,3094498.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,, +86,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-05-16 06:41:12.000000,2024-05-08 14:39:44,21235.0,410.0,2100.0,175.0,3282.0,310.0,2067.0,7933.0,End-to-End Speech Processing Toolkit.,425.0,38,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,337.0,325.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,73934.0,73935.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +87,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-05-15 18:29:05.000000,2024-05-15 18:29:03,12139.0,58.0,1075.0,164.0,463.0,669.0,746.0,4139.0,Probabilistic reasoning and statistical analysis in TensorFlow.,493.0,38,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],562.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,562.0,3939030.0,3942271.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,126422.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +88,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-05-16 13:09:34.000000,2024-05-16 13:09:33,10756.0,49.0,394.0,60.0,2983.0,1095.0,2171.0,2632.0,"With Holoviews, your data visualizes itself.",141.0,38,True,2024-03-22 00:10:16.630,3.0.2,160.0,holoviews,conda-forge/holoviews,,,['jupyter'],10782.0,10421.0,https://pypi.org/project/holoviews,2024-04-23 15:48:47.000,356.0,440366.0,474212.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1578750.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-03-22 00:10:16.630,5.0,256.0,,,,,,,,,,, +89,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 10:20:28.000,2024-05-16 13:00:35.000000,2024-05-03 08:55:51,1404.0,124.0,433.0,58.0,1357.0,141.0,675.0,1720.0,The official Python client for the Huggingface Hub.,161.0,38,True,2024-05-02 12:46:42.000,0.23.0,109.0,huggingface_hub,conda-forge/huggingface_hub,,,,1207.0,,https://pypi.org/project/huggingface_hub,2024-05-02 12:46:34.000,1207.0,34668991.0,34713581.0,https://anaconda.org/conda-forge/huggingface_hub,2024-05-03 19:11:46.697,1739017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +90,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-05-13 22:24:55.000000,2024-05-13 22:24:51,1523.0,43.0,199.0,47.0,564.0,32.0,756.0,1128.0,Fiona reads and writes geographic data files.,73.0,38,True,2024-03-08 16:14:09.000,1.9.6,112.0,fiona,conda-forge/fiona,,,,20149.0,19956.0,https://pypi.org/project/fiona,2024-04-16 20:38:29.000,193.0,6271485.0,6390870.0,https://anaconda.org/conda-forge/fiona,2024-03-08 21:09:14.732,5491750.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +91,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-03-18 00:28:14.000000,2020-02-15 08:33:35,523.0,,6704.0,1285.0,166.0,670.0,226.0,32517.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,29071.0,28312.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,759.0,955361.0,957163.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,153237.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +92,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-04-06 08:14:32.000000,2020-06-01 14:58:26,2913.0,,2413.0,233.0,338.0,300.0,224.0,14178.0,Image augmentation for machine learning experiments.,36.0,37,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,20013.0,19762.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,251.0,442073.0,444711.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,155671.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +93,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-05-07 14:51:33.000000,2023-07-11 16:23:35,1095.0,,1519.0,255.0,670.0,415.0,1047.0,11872.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,39296.0,38505.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,791.0,1087194.0,1090136.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,241291.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +94,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-05-15 05:58:01.000000,2024-05-14 07:47:39,1448.0,214.0,1811.0,135.0,196.0,4.0,1028.0,10257.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",61.0,37,True,2024-05-02 07:29:37.000,0.0.91,90.0,deepface,,,,,3155.0,3122.0,https://pypi.org/project/deepface,2024-05-02 07:27:16.000,33.0,63115.0,63115.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-05-16 15:06:48.000000,2024-05-16 07:15:10,29376.0,2449.0,1976.0,197.0,5345.0,30.0,3380.0,9285.0,Perform data science on data that remains in someone elses server.,510.0,37,True,2024-04-03 12:17:16.000,0.8.6,280.0,syft,,,,['pytorch'],4.0,1.0,https://pypi.org/project/syft,2024-04-28 12:46:46.000,3.0,10340.0,10618.0,,,,,,,,1.0,2506.0,,,,,,,,,,,,,,,,,,, +96,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-05-13 21:42:50.000000,2024-05-07 16:35:27,583.0,13.0,1139.0,263.0,174.0,109.0,169.0,8968.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,38870.0,38536.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,334.0,1094974.0,1097636.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,247612.0,,,,,1.0,117.0,,,,,,,,,,,,,,,,,,, +97,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-05-15 20:56:05.000000,2024-05-13 00:42:32,28479.0,180.0,771.0,127.0,6153.0,574.0,1664.0,7830.0,NumPy & SciPy for GPU.,364.0,37,True,2024-04-19 07:40:12.000,13.1.0,139.0,cupy,conda-forge/cupy,cupy/cupy,,,2257.0,2043.0,https://pypi.org/project/cupy,2024-04-19 04:17:35.000,214.0,23713.0,101314.0,https://anaconda.org/conda-forge/cupy,2024-04-29 17:22:48.759,3561250.0,https://hub.docker.com/r/cupy/cupy,2024-04-19 07:42:49.196765,11.0,62293.0,1.0,173909.0,-1.0,,,,,,,,,,,,,,,,,, +98,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-05-16 07:57:04.000000,2024-05-15 15:56:12,10464.0,207.0,1621.0,147.0,2294.0,585.0,1235.0,5164.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",240.0,37,True,2024-04-03 16:21:23.000,2.8.0,853.0,deepchem,conda-forge/deepchem,,,['tensorflow'],381.0,368.0,https://pypi.org/project/deepchem,2024-05-15 16:36:42.000,13.0,29142.0,31402.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,106221.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +99,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-05-16 13:47:45.000000,2024-05-13 16:56:56,4028.0,117.0,1072.0,151.0,1635.0,393.0,884.0,3705.0,Fast data visualization and GUI tools for scientific / engineering applications.,279.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,10389.0,9471.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,918.0,229315.0,240665.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,533454.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +100,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-05-10 14:45:40.000000,2024-05-10 14:45:37,3850.0,23.0,523.0,147.0,1157.0,143.0,1639.0,2141.0,Rasterio reads and writes geospatial raster datasets.,157.0,37,True,2024-04-12 18:29:54.000,1.3.10,157.0,rasterio,conda-forge/rasterio,,,,12652.0,11428.0,https://pypi.org/project/rasterio,2024-04-16 21:46:35.000,1224.0,2658907.0,2732886.0,https://anaconda.org/conda-forge/rasterio,2024-04-13 12:29:45.854,2958868.0,,,,,2.0,862.0,,,,,,,,,,,,,,,,,,, +101,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,30.0,209.0,32.0,47.0,13.0,166.0,1575.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,67881.0,65561.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2320.0,11110272.0,11110800.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,44895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-05-14 17:21:53.000000,2024-05-11 06:28:19,1530.0,9.0,285.0,31.0,487.0,105.0,495.0,1415.0,Python library for reading and writing image data.,111.0,37,True,2024-04-22 02:22:40.000,2.34.1,91.0,imageio,conda-forge/imageio,,,,128480.0,126313.0,https://pypi.org/project/imageio,2024-04-22 02:22:35.000,2167.0,22304701.0,22442400.0,https://anaconda.org/conda-forge/imageio,2024-04-22 04:44:13.491,6333492.0,,,,,2.0,1049.0,,,,,,,,,,,,,,,,,,, +103,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-05-15 12:33:24.000000,2024-05-15 07:13:58,10283.0,63.0,549.0,68.0,2398.0,296.0,1760.0,1113.0,Machine learning for NeuroImaging in Python.,235.0,37,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,,['sklearn'],3418.0,3146.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,272.0,64802.0,71207.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,268866.0,,,,,1.0,163.0,,,,,,,,,,,,,,,,,,, +104,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-05-10 15:50:50.000000,2024-02-10 14:20:58,4668.0,,3482.0,263.0,730.0,74.0,953.0,29862.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",164.0,36,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",1277.0,1231.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,46.0,128216.0,185808.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,11597.0,,,,,1.0,2174302.0,1.0,,,,,,,,,,,,,,,,,, +105,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-05-15 06:40:00.000000,2024-05-08 07:52:03,2292.0,9.0,5171.0,502.0,159.0,1076.0,1357.0,21478.0,State-of-the-art 2D and 3D Face Analysis Project.,60.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],2132.0,2112.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,20.0,385502.0,627675.0,,,,,,,,2.0,3148252.0,,,,,,,,,,,,,,,,,,, +106,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-27 09:20:02.000000,2024-03-03 06:50:21,1649.0,2.0,2830.0,378.0,458.0,14.0,1852.0,14495.0,Python Echarts Plotting Library.,42.0,36,True,2024-03-03 07:03:55.000,2.0.5,73.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4292.0,4104.0,https://pypi.org/project/pyecharts,2024-03-03 07:02:08.000,188.0,178663.0,178666.0,,,,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,, +107,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-05-16 13:47:11.000000,2024-05-16 13:47:07,18266.0,574.0,5865.0,70.0,11677.0,1020.0,15930.0,14024.0,The Unified AI Framework.,1472.0,36,True,2023-06-29 19:33:01.167,0.0.0,116.0,ivy,,,,,12.0,,https://pypi.org/project/ivy,2024-03-15 11:49:07.000,12.0,1126.0,1126.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +108,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-05-16 13:40:06.000000,2024-05-15 21:58:41,3387.0,274.0,1639.0,126.0,3674.0,190.0,3065.0,13878.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",242.0,36,True,2024-05-16 13:40:34.000,2.1.2,96.0,haystack,,,,,255.0,250.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,4329.0,4329.0,,,,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,, +109,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-05-16 14:36:58.000000,2024-05-15 05:45:46,6212.0,77.0,3401.0,242.0,1583.0,1076.0,4079.0,10582.0,Open-source simulator for autonomous driving research.,187.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,716.0,709.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12501.0,12501.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +110,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-05-16 14:12:50.000000,2024-05-16 04:57:22,6479.0,348.0,2087.0,189.0,6483.0,126.0,2020.0,10212.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",310.0,36,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,51319.0,54366.0,,,,,,,,2.0,170669.0,,,,,,,,,,,,,,,,,,, +111,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-05-14 10:01:38.000000,2024-05-13 15:59:31,20234.0,955.0,495.0,53.0,2944.0,487.0,1008.0,6775.0,"Visualize, create, and debug image and video datasets and model predictions.",122.0,36,True,2024-04-15 21:52:17.000,0.23.8,142.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",581.0,569.0,https://pypi.org/project/fiftyone,2024-04-15 21:52:17.000,12.0,62052.0,62052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +112,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 05:08:26.000,2024-04-01 18:07:01.000000,2024-04-01 11:19:59,863.0,8.0,1275.0,141.0,499.0,41.0,555.0,6714.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,36,True,2024-03-31 19:38:20.000,0.12.2,36.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],27604.0,27219.0,https://pypi.org/project/imbalanced-learn,2024-03-31 19:27:16.000,385.0,11105892.0,11117801.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-03-31 19:50:51.503,559736.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +113,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-05-14 09:05:03.000000,2023-12-31 11:04:55,953.0,,796.0,87.0,204.0,115.0,657.0,4202.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,36,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,400290.0,391007.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,9283.0,13927062.0,13927062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-05-10 20:16:43.000000,2024-05-10 19:47:30,2343.0,104.0,205.0,64.0,133.0,67.0,564.0,3842.0,A Grammar of Graphics for Python.,107.0,36,True,2024-05-10 08:15:43.000,0.13.6,27.0,plotnine,conda-forge/plotnine,,,,7864.0,7599.0,https://pypi.org/project/plotnine,2024-05-09 20:44:49.000,265.0,3087989.0,3095617.0,https://anaconda.org/conda-forge/plotnine,2024-05-10 08:18:51.149,358541.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +115,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-05-16 02:59:26.000000,2024-05-02 08:02:26,8512.0,52.0,698.0,100.0,13184.0,52.0,829.0,3713.0,State of the Art Natural Language Processing.,112.0,36,True,2024-04-05 17:44:10.000,5.3.3,141.0,spark-nlp,,,,['spark'],464.0,428.0,https://pypi.org/project/spark-nlp,2024-04-05 16:57:09.000,36.0,4096900.0,4096900.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-05-14 19:20:12.000000,2024-04-23 07:20:16,5324.0,10.0,274.0,79.0,791.0,20.0,124.0,2798.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,36,True,2024-04-19 11:40:18.000,9.0.0,234.0,thinc,conda-forge/thinc,,,,47077.0,46952.0,https://pypi.org/project/thinc,2024-04-19 11:39:47.000,125.0,9636947.0,9694875.0,https://anaconda.org/conda-forge/thinc,2024-05-11 21:24:32.807,2780568.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +117,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-05-16 11:53:29.000000,2024-05-16 01:09:19,4381.0,264.0,435.0,36.0,3250.0,550.0,1076.0,2389.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,159.0,36,True,2024-05-14 09:37:23.000,0.43.8,94.0,pyvista,conda-forge/pyvista,,,['jupyter'],3414.0,2942.0,https://pypi.org/project/pyvista,2024-05-14 09:37:23.000,472.0,266565.0,276659.0,https://anaconda.org/conda-forge/pyvista,2024-05-14 14:55:18.741,473981.0,,,,,2.0,796.0,,,,,,,,,,,,,,,,,,, +118,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-05-16 15:25:20.000000,2024-05-16 13:13:31,4164.0,220.0,539.0,45.0,4497.0,287.0,962.0,2131.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,167.0,36,True,2024-05-06 23:38:06.000,0.36.0,57.0,pennylane,conda-forge/pennylane,,,,981.0,879.0,https://pypi.org/project/pennylane,2024-05-06 23:38:06.000,102.0,62418.0,63980.0,https://anaconda.org/conda-forge/pennylane,2024-05-07 13:17:23.986,46850.0,,,,,1.0,78.0,,,,,,,,,,,,,,,,,,, +119,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-05-10 09:11:35.000000,2024-05-10 09:11:35,1542.0,18.0,372.0,47.0,1491.0,175.0,678.0,1535.0,Exploratory analysis of Bayesian models with Python.,158.0,36,True,2024-04-05 08:50:12.000,0.18.0,37.0,arviz,conda-forge/arviz,,,,6777.0,6494.0,https://pypi.org/project/arviz,2024-04-05 08:50:12.000,283.0,2121512.0,2165630.0,https://anaconda.org/conda-forge/arviz,2024-04-08 15:25:03.090,2117602.0,,,,,1.0,136.0,,,,,,,,,,,,,,,,,,, +120,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-05-06 13:09:16.000000,2024-05-06 13:09:16,5858.0,92.0,257.0,37.0,806.0,128.0,403.0,627.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,19905.0,18882.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1023.0,502978.0,517968.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,704538.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +121,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-05-15 04:52:24.000000,2024-03-13 13:24:17,2322.0,2.0,6244.0,420.0,1334.0,1243.0,3042.0,29395.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3233.0,3124.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,109.0,293558.0,294990.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,65716.0,,,,,2.0,333.0,,,,,,,,,,,,,,,,,,, +122,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-03-27 11:25:38.000000,2023-09-04 11:42:16,615.0,,2940.0,305.0,246.0,382.0,588.0,22191.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,6525.0,6356.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,169.0,238172.0,471408.0,,,,,,,,1.0,10962130.0,,,,,,,,,,,,,,,,,,, +123,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-05-16 04:55:28.000000,2024-05-01 02:28:51,8867.0,48.0,2994.0,270.0,1245.0,156.0,682.0,18109.0,Best Practices on Recommendation Systems.,131.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,,112.0,108.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,23828.0,23835.0,,,,,,,,1.0,490.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,, +124,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-27 20:19:41.000000,2024-03-25 12:37:43,1333.0,1.0,2213.0,333.0,1588.0,387.0,1858.0,13987.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1169.0,1140.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,29.0,66046.0,66046.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,, +125,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,546.0,716.0,402.0,1272.0,13910.0,"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,,,,,5746.0,5728.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,32899.0,32899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-05-02 09:05:39.790000,2023-08-20 17:38:53,890.0,,1142.0,316.0,267.0,56.0,343.0,12761.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4038.0,3854.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,184.0,1275899.0,1285190.0,https://anaconda.org/conda-forge/python-annoy,2024-05-02 09:05:39.790,408825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,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,,2243.0,279.0,3096.0,91.0,2477.0,11701.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4180.0,4055.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,50847.0,52774.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,125286.0,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,, +128,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-05-15 23:38:28.000000,2024-04-22 23:01:37,2591.0,51.0,631.0,100.0,471.0,578.0,1228.0,8972.0,An open source multi-tool for exploring and publishing data.,78.0,35,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1649.0,1255.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,394.0,40561.0,41467.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,33487.0,,,,,2.0,64.0,,,,,,,,,datasette,,,,,,,,,, +129,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-05-07 12:29:37.000000,2022-12-08 17:49:19,746.0,,1002.0,135.0,229.0,352.0,272.0,8397.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,58104.0,56993.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1111.0,4628610.0,4630035.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,92685.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-05-06 02:00:59.322000,2024-05-05 04:04:50,542.0,55.0,2370.0,283.0,153.0,319.0,318.0,8072.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",50.0,35,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,505.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,484.0,771743.0,775787.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,181983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +131,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 16:08:07.000,2024-05-16 14:41:20.000000,2024-05-13 14:53:52,32443.0,91.0,1988.0,384.0,6814.0,2750.0,6599.0,6746.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",264.0,35,True,,,152.0,h2o,,,,,65.0,21.0,https://pypi.org/project/h2o,2024-05-13 17:04:43.000,44.0,309853.0,309853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +132,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-05-16 09:40:43.000000,2024-05-16 09:20:07,3090.0,167.0,740.0,73.0,3454.0,229.0,817.0,6602.0,"The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference..",199.0,35,True,2024-05-16 09:39:50.000,1.2.16,147.0,bentoml,,,,,1811.0,1788.0,https://pypi.org/project/bentoml,2024-05-16 09:40:43.000,23.0,96823.0,96853.0,,,,,,,,2.0,1615.0,,,,,,,,,,,,,,,,,,, +133,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-05-15 16:51:14.000000,2024-05-15 16:51:14,2891.0,15.0,2225.0,175.0,1148.0,28.0,1419.0,6601.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,35,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],288.0,270.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,18.0,12953.0,12953.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-05-16 14:41:13.000000,2024-05-16 02:29:51,3031.0,78.0,974.0,89.0,3343.0,329.0,2658.0,5384.0,AI Toolkit for Healthcare Imaging.,189.0,35,True,2023-10-12 17:37:33.000,1.3.0,84.0,monai,conda-forge/monai,,,['pytorch'],2330.0,2237.0,https://pypi.org/project/monai,2024-05-10 06:01:02.000,93.0,148731.0,149535.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,23327.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-05-16 05:17:23.000000,2024-05-16 04:44:21,3773.0,103.0,807.0,58.0,1564.0,360.0,1243.0,4009.0,"Serve, optimize and scale PyTorch models in production.",194.0,35,True,2024-03-15 00:03:31.000,0.10.0,23.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],670.0,649.0,https://pypi.org/project/torchserve,2024-03-14 21:47:35.000,21.0,48412.0,74858.0,https://anaconda.org/pytorch/torchserve,2024-03-14 21:47:30.323,177266.0,https://hub.docker.com/r/pytorch/torchserve,2024-03-14 22:46:13.511478,25.0,1249310.0,2.0,5682.0,,,,,,,,,,,,,,,,,,, +136,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-05-16 11:42:39.000000,2024-04-24 22:56:36,1309.0,10.0,810.0,288.0,1467.0,323.0,516.0,3448.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",155.0,35,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],259.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,259.0,697920.0,697920.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-05-13 13:33:22.000000,2024-05-13 13:33:20,7376.0,13.0,616.0,116.0,1164.0,348.0,1110.0,3228.0,High-performance interactive 2D/3D data visualization library.,194.0,35,True,2024-03-14 16:50:16.000,0.14.2,38.0,vispy,conda-forge/vispy,,,['jupyter'],1666.0,1517.0,https://pypi.org/project/vispy,2024-03-14 16:13:05.000,146.0,95482.0,106520.0,https://anaconda.org/conda-forge/vispy,2024-03-15 02:52:28.032,485278.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,9.0,,,,,,,,,,, +138,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-05-16 11:34:45.000000,2024-05-14 17:59:27,2308.0,7.0,627.0,73.0,2878.0,221.0,719.0,2390.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",225.0,35,True,2024-04-24 16:19:43.000,2.3.0,34.0,torchaudio,,,,['pytorch'],1054.0,,https://pypi.org/project/torchaudio,2024-04-24 15:48:50.000,1054.0,5718071.0,5718071.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-05-16 00:22:49.000000,2024-05-16 00:18:21,3047.0,199.0,294.0,68.0,1776.0,114.0,614.0,2277.0,Adaptive Experimentation Platform.,168.0,35,True,2024-05-02 22:09:25.000,0.4.0,41.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],758.0,710.0,https://pypi.org/project/ax-platform,2024-05-02 22:09:25.000,48.0,95153.0,95706.0,https://anaconda.org/conda-forge/ax-platform,2024-05-03 19:13:18.752,19356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +140,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-05-16 05:28:17.806000,2024-05-14 12:18:46,1782.0,109.0,379.0,26.0,1504.0,72.0,744.0,1969.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",239.0,35,True,2024-05-15 11:24:52.000,1.4.0.post0,46.0,metrics,conda-forge/torchmetrics,,,['pytorch'],24701.0,24699.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4673.0,39959.0,https://anaconda.org/conda-forge/torchmetrics,2024-05-16 05:28:17.806,1335757.0,,,,,2.0,5138.0,-1.0,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,, +141,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-05-13 20:05:51.000000,2024-05-04 02:22:50,3023.0,65.0,360.0,55.0,1158.0,307.0,956.0,1363.0,Cartopy - a cartographic python library with matplotlib support.,125.0,35,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,5476.0,4895.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,581.0,233368.0,307448.0,https://anaconda.org/conda-forge/cartopy,2024-04-11 10:31:26.888,3555886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +142,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-04-28 23:29:41.096000,2024-04-28 20:57:25,1553.0,19.0,152.0,41.0,133.0,4.0,642.0,1165.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2024-04-28 20:24:49.000,1.10.2,35.0,agate,conda-forge/agate,,,,3216.0,3171.0,https://pypi.org/project/agate,2024-04-28 20:24:49.000,45.0,6544544.0,6549455.0,https://anaconda.org/conda-forge/agate,2024-04-28 23:29:41.096,176811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,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 06:45:41.000,2024-05-16 14:22:44.000000,2024-05-15 19:56:03,1672.0,97.0,168.0,30.0,1566.0,69.0,179.0,1165.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,79.0,35,True,2024-05-16 14:22:44.000,2024.4.0,27.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],10701.0,10659.0,https://pypi.org/project/scikit-learn-intelex,2024-05-13 17:40:51.000,42.0,122612.0,129709.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-04-19 14:33:00.666,262623.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +144,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-05-13 19:31:12.000000,2024-04-20 13:16:16,1546.0,11.0,212.0,34.0,687.0,31.0,572.0,994.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,35,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,31387.0,29880.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1507.0,8801753.0,8966430.0,https://anaconda.org/conda-forge/pyproj,2024-05-01 02:52:24.565,7575177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-05-06 11:54:14.000000,2024-05-06 11:54:14,14881.0,74.0,506.0,51.0,2291.0,393.0,960.0,734.0,Workflows and interfaces for neuroimaging packages.,256.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4476.0,4343.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,133.0,161967.0,175522.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,610003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-05-09 08:33:42.000000,2024-05-08 05:15:28,1517.0,16.0,7248.0,384.0,661.0,487.0,3053.0,28894.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",268.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1792.0,1781.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,11.0,1.0,5493.0,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,252634.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-05-16 14:07:34.000000,2024-05-16 14:05:06,7992.0,352.0,2675.0,295.0,194.0,28.0,1057.0,26334.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-05-13 22:25:01.000,7.6.6,643.0,netron,,,,"['pytorch', 'tensorflow']",90.0,12.0,https://pypi.org/project/netron,2024-05-13 22:25:01.000,78.0,22384.0,134042.0,,,,,,,,1.0,111658.0,,,,,,,,,,,,,,,,,,, +148,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-03-22 21:40:44.000000,2024-03-13 15:16:33,391.0,2.0,4675.0,844.0,268.0,556.0,611.0,25609.0,Library for fast text representation and classification.,68.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,6176.0,5951.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,225.0,1177474.0,1179274.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,79226.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-05-16 14:14:52.000000,2024-05-16 12:59:59,18235.0,1094.0,2705.0,380.0,4963.0,426.0,3423.0,21462.0,The platform for customizing AI from enterprise data.,826.0,34,False,2024-04-15 13:43:59.000,24.4.3.0,462.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-04-15 13:45:13.000,,22341.0,22341.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-05-04 20:00:03.000000,2023-10-18 07:33:05,791.0,,4458.0,437.0,442.0,404.0,1726.0,17841.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,34,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,110.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,89.0,805573.0,837089.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1165037.0,,,,,1.0,2509.0,,,,,,,,,,,,,,,,,,, +151,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-05-16 06:48:00.000000,2024-04-29 16:39:29,3849.0,28.0,1163.0,192.0,2853.0,365.0,757.0,10859.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",155.0,34,True,2024-04-08 23:26:12.000,0.10.3,55.0,ludwig,,,,['tensorflow'],256.0,250.0,https://pypi.org/project/ludwig,2024-04-08 23:26:12.000,6.0,4334.0,4334.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-03-19 22:44:23.623000,2023-12-09 05:39:53,576.0,,2301.0,219.0,245.0,119.0,417.0,9967.0,A little word cloud generator in Python.,72.0,34,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,512.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,491.0,1892547.0,1902903.0,https://anaconda.org/conda-forge/wordcloud,2024-03-19 22:44:23.623,476401.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +153,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 19:36:58.000,2024-05-11 13:16:30.000000,2024-05-09 19:06:28,10414.0,8.0,1927.0,349.0,3424.0,134.0,1134.0,8412.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,34,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,38.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,38.0,86209.0,89790.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-04-26 11:19:26.965,154013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +154,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-05-10 13:49:21.000000,2024-05-07 17:19:43,2471.0,23.0,986.0,201.0,2301.0,253.0,839.0,8388.0,Deep universal probabilistic programming with Python and PyTorch.,155.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],172.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,172.0,272766.0,277031.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,162074.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +155,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-05-12 05:57:55.000000,2024-05-12 05:49:07,676.0,7.0,335.0,67.0,110.0,34.0,139.0,7969.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",27.0,34,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,35987.0,34241.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,1746.0,7544890.0,7549798.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,211066.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-05-15 22:48:35.000000,2024-05-10 16:30:28,912.0,63.0,719.0,281.0,1207.0,315.0,372.0,7645.0,"Build and manage real-life ML, AI, and data science projects with ease!.",88.0,34,True,2024-05-08 22:46:11.000,2.11.15,122.0,metaflow,conda-forge/metaflow,,,,691.0,647.0,https://pypi.org/project/metaflow,2024-05-08 22:46:11.000,44.0,529776.0,533483.0,https://anaconda.org/conda-forge/metaflow,2024-05-09 09:11:54.860,170551.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-05-16 04:42:14.000000,2024-04-20 16:29:42,4447.0,140.0,870.0,141.0,484.0,93.0,785.0,7064.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-04-20 18:58:25.000,1.8.2,25.0,stanza,stanfordnlp/stanza,,,,2919.0,2750.0,https://pypi.org/project/stanza,2024-04-20 18:57:48.000,169.0,231630.0,231778.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7422.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-05-15 15:26:44.535000,2024-05-14 18:43:10,1366.0,30.0,860.0,157.0,1711.0,143.0,862.0,7061.0,An open source python library for automated feature engineering.,72.0,34,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1706.0,1633.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,73.0,63358.0,67244.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,182654.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +159,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-04-27 14:18:10.000000,2023-11-16 08:43:39,1418.0,,872.0,218.0,222.0,174.0,233.0,6814.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,8412.0,8150.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,262.0,1390140.0,1408579.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,424111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-05-15 16:59:32.016000,2024-05-14 15:47:55,3273.0,12.0,924.0,138.0,652.0,53.0,1134.0,6724.0,Python library for audio and music analysis.,120.0,34,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1186.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1186.0,2795234.0,2811333.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,740555.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +161,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-05-14 22:00:46.000000,2024-05-14 22:00:38,2351.0,48.0,634.0,93.0,257.0,459.0,547.0,5297.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",96.0,34,True,2024-04-09 16:24:23.000,1.15.1,160.0,clearml,,allegroai/trains,,,1130.0,1097.0,https://pypi.org/project/clearml,2024-05-08 16:43:22.000,33.0,290818.0,291371.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30238.0,2.0,2462.0,,,,,,,,,,,,,,,,,,, +162,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-03-31 13:12:23.000000,2024-03-31 13:12:23,1645.0,8.0,845.0,117.0,527.0,144.0,341.0,4778.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,106.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],13520.0,13367.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,153.0,630735.0,637358.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,304675.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,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 14:40:43.000,2024-05-14 18:53:40.000000,2024-05-06 14:43:44,12226.0,68.0,1105.0,101.0,1340.0,152.0,752.0,4503.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",135.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,527.0,516.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,26801.0,27638.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,38530.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +164,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-05-16 00:13:14.000000,2024-05-10 10:20:27,1695.0,35.0,606.0,60.0,1841.0,154.0,1260.0,4459.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,509.0,34,True,2024-04-01 10:35:11.000,0.5.0.post2,1621.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2970.0,2886.0,https://pypi.org/project/pytorch-ignite,2024-05-16 00:13:14.000,84.0,301356.0,303913.0,https://anaconda.org/pytorch/ignite,2024-04-01 12:32:01.049,181597.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +165,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-05-13 23:18:22.000000,2024-05-13 18:38:14,1151.0,18.0,596.0,119.0,872.0,309.0,1052.0,4096.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",166.0,34,True,2024-04-22 23:27:42.000,7.2,47.0,coremltools,conda-forge/coremltools,,,,3881.0,3810.0,https://pypi.org/project/coremltools,2024-04-23 00:06:00.000,71.0,286225.0,287655.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,56386.0,,,,,2.0,9582.0,,,,,,,,,,,,,,,,,,, +166,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-05-16 09:25:55.000000,2024-02-15 18:01:44,1293.0,,2511.0,1968.0,534.0,386.0,1075.0,3961.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2024-02-06 19:36:25.000,1.55.0,103.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-04-29 18:34:04.000,48.0,612593.0,612601.0,,,,,,,,2.0,567.0,,,,,,,,,,,,,,,,,,, +167,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-05-13 20:04:54.000000,2024-05-02 18:05:35,1286.0,17.0,246.0,36.0,441.0,96.0,217.0,3595.0,Lightning fast forecasting with statistical and econometric models.,39.0,34,True,2024-04-08 16:44:34.000,1.7.4,32.0,statsforecast,conda-forge/statsforecast,,,,926.0,871.0,https://pypi.org/project/statsforecast,2024-04-08 16:44:34.000,55.0,575071.0,577653.0,https://anaconda.org/conda-forge/statsforecast,2024-04-08 20:04:06.356,67144.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +168,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-05-07 05:39:07.350000,2024-04-08 16:26:55,1182.0,2.0,1674.0,150.0,210.0,7.0,690.0,3444.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],285.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,285.0,5255540.0,5257683.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,96467.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +169,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-05-16 11:30:21.000000,2024-05-15 15:49:16,1875.0,83.0,372.0,53.0,1617.0,71.0,421.0,2965.0,Bayesian optimization in PyTorch.,114.0,34,True,2024-05-01 20:33:09.000,0.11.0,44.0,botorch,conda-forge/botorch,,,['pytorch'],1060.0,986.0,https://pypi.org/project/botorch,2024-05-01 20:33:09.000,74.0,137201.0,139563.0,https://anaconda.org/conda-forge/botorch,2024-05-01 22:13:21.203,106326.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-05-16 14:34:50.000000,2024-05-15 15:06:40,1027.0,61.0,372.0,57.0,1182.0,347.0,397.0,2191.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,104.0,34,True,2024-05-09 11:17:31.000,1.19.2,63.0,optimum,conda-forge/optimum,,,,2537.0,2407.0,https://pypi.org/project/optimum,2024-05-09 11:10:12.000,130.0,1140543.0,1141100.0,https://anaconda.org/conda-forge/optimum,2024-05-09 14:07:35.313,13936.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-05-16 08:26:38.000000,2024-05-16 08:22:53,5179.0,116.0,516.0,19.0,1277.0,1031.0,644.0,2125.0,"This is the development home of the workflow management system Snakemake. For general information, see.",325.0,34,True,2024-05-16 08:26:08.000,8.11.5,336.0,snakemake,bioconda/snakemake,,,,2193.0,1974.0,https://pypi.org/project/snakemake,2024-05-16 08:26:38.000,219.0,78273.0,88437.0,https://anaconda.org/bioconda/snakemake,2024-05-03 18:24:01.575,1046900.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,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 01:09:14.000,2024-05-13 02:52:59.000000,2024-05-13 02:52:59,4263.0,56.0,1070.0,153.0,1117.0,71.0,656.0,1779.0,Documentation and samples for ArcGIS API for Python.,91.0,34,True,2024-04-23 21:21:11.000,2.3.0,44.0,arcgis,,esridocker/arcgis-api-python-notebook,,,787.0,751.0,https://pypi.org/project/arcgis,2024-05-03 16:52:08.000,36.0,69445.0,69567.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,11262.0,,,,,,,,,,,,,,,,,,, +173,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-05-14 18:16:15.000000,2024-05-14 15:08:32,1184.0,13.0,359.0,67.0,604.0,276.0,353.0,1454.0,A Jupyter - Leaflet.js bridge.,88.0,34,True,2024-05-14 08:14:02.000,0.19.1,83.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],9116.0,8856.0,https://pypi.org/project/ipyleaflet,2024-05-14 07:54:14.000,251.0,150563.0,184029.0,https://anaconda.org/conda-forge/ipyleaflet,2024-05-14 09:17:21.014,1137965.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-05-13 13:06:55.933,9.0,9759.0,,,,,,,,,,, +174,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-26 18:33:29.000000,2024-02-11 16:39:29,1856.0,,200.0,32.0,212.0,26.0,399.0,1363.0,The ctypes-based simple ImageMagick binding for Python.,104.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,19106.0,18870.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,236.0,808155.0,809639.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,44913.0,,,,,2.0,46049.0,,,,,,,,,,,,,,,,,,, +175,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-05-15 01:47:44.000000,2024-03-13 00:47:35,874.0,5.0,328.0,44.0,1022.0,168.0,169.0,1199.0,Making text a first-class citizen in TensorFlow.,113.0,34,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],7006.0,6803.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,203.0,7472093.0,7472093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-05-16 13:05:29.000000,2024-05-16 05:54:32,3100.0,105.0,4240.0,377.0,3909.0,415.0,1204.0,38013.0,"Making large AI models cheaper, faster and more accessible.",178.0,33,True,2024-04-27 11:00:32.000,0.3.7,37.0,,,,,,369.0,369.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3875.0,662.0,1674.0,143.0,1985.0,24423.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],442.0,418.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,9043.0,25850.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2681.0,,,,,2.0,1137579.0,,,,,,,,,,,,,,,,,,, +178,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-04-30 20:50:54.000000,2023-07-11 13:03:36,1421.0,,3727.0,755.0,1136.0,408.0,588.0,18950.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],510.0,505.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,3994.0,3994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +179,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-05-10 14:44:06.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3506.0,385.0,1682.0,13794.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,679.0,641.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,17997.0,17997.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +180,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-05-11 09:01:28.000000,2024-05-11 08:03:41,3802.0,27.0,889.0,136.0,174.0,106.0,1004.0,12190.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",96.0,33,True,2024-04-16 18:51:52.000,16.2.0,236.0,ocrmypdf,conda-forge/ocrmypdf,,,,842.0,818.0,https://pypi.org/project/ocrmypdf,2024-04-16 18:51:52.000,24.0,102849.0,104881.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,64930.0,,,,,2.0,3319.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +181,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-05-07 09:56:24.000000,2021-07-29 23:17:25,531.0,,1785.0,264.0,116.0,111.0,535.0,11326.0,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,,,,5762.0,5578.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,184.0,355686.0,357999.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,205916.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-05-15 17:55:00.000000,2024-02-23 19:03:07,2440.0,6.0,1539.0,287.0,432.0,284.0,638.0,9519.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2790.0,2753.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,37.0,42815.0,48158.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,251156.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +183,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,,877.0,259.0,148.0,107.0,104.0,9134.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,25203.0,24278.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,925.0,6861626.0,6867290.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,532491.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +184,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,4.0,1399.0,302.0,894.0,137.0,759.0,9076.0,AutoML library for deep learning.,143.0,33,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],688.0,675.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,19482.0,19714.0,,,,,,,,1.0,18126.0,,,,,,,,,,,,,,,,,,, +185,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-05-16 01:08:15.000000,2024-03-16 17:36:36,1731.0,4.0,1318.0,148.0,227.0,207.0,146.0,7996.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,33,True,2024-02-09 06:52:05.000,1.1.3,91.0,pyod,conda-forge/pyod,,,,3801.0,3695.0,https://pypi.org/project/pyod,2024-02-09 06:50:32.000,106.0,718844.0,720874.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,97474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-05-15 12:31:39.000000,2024-05-13 17:33:24,1200.0,57.0,805.0,61.0,962.0,265.0,1170.0,7365.0,A python library for user-friendly forecasting and anomaly detection on time series.,115.0,33,True,2024-04-17 11:54:28.000,0.29.0,42.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,616.0,610.0,https://pypi.org/project/u8darts,2024-04-17 11:54:28.000,6.0,22324.0,23607.0,https://anaconda.org/conda-forge/u8darts-all,2024-04-18 00:03:59.716,43376.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,576.0,2.0,,,,,,,,,,,,,,,,,,,, +187,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-05-16 14:44:00.000000,2024-05-16 14:43:58,38754.0,427.0,836.0,145.0,9598.0,1095.0,5228.0,7356.0,cuDF - GPU DataFrame Library.,282.0,33,True,2024-05-01 12:29:36.000,24.04.01,49.0,cudf,,,,,71.0,54.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,17.0,2979.0,2979.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-05-16 11:04:04.000000,2024-05-16 11:04:04,2207.0,107.0,850.0,98.0,2469.0,346.0,968.0,7210.0,Fast and Accurate ML in 3 Lines of Code.,122.0,33,True,2024-05-02 19:07:34.000,0.8.3,1484.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",715.0,694.0,https://pypi.org/project/autogluon,2024-05-16 09:05:51.000,21.0,81823.0,81954.0,,,,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,7606.0,1.0,,,,,,,,,,,,,,,,,,,, +189,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-04-30 19:08:04.000000,2024-04-25 01:14:03,1793.0,25.0,765.0,128.0,276.0,455.0,334.0,6977.0,Uniform Manifold Approximation and Projection.,130.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,834.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,833.0,1289279.0,1340515.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2408094.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-05-16 14:34:58.000000,2024-05-16 14:23:39,2801.0,637.0,1206.0,242.0,8780.0,810.0,1460.0,6064.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",99.0,33,True,2023-11-13 02:02:20.000,2.4.0,869.0,bigdl,,,,,58.0,51.0,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,4109.0,4114.0,,,,,,,,2.0,473.0,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +191,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-05-15 18:59:54.000000,2024-05-15 18:52:48,3129.0,144.0,710.0,143.0,105.0,100.0,332.0,6045.0,Fit interpretable models. Explain blackbox machine learning.,44.0,33,True,2024-04-14 22:32:49.000,0.6.1,49.0,interpret,,,,['jupyter'],717.0,674.0,https://pypi.org/project/interpret,2024-04-14 04:27:31.000,43.0,81615.0,81615.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +192,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1366.0,288.0,6588.0,13.0,2030.0,5867.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3295.0,3237.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,19723.0,20061.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,17261.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +193,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-05-16 14:20:05.000000,2024-05-16 14:20:05,29863.0,270.0,1564.0,182.0,2102.0,35.0,1591.0,4846.0,"mlpack: a fast, header-only C++ machine learning library.",316.0,33,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2024-04-10 13:40:15.000,1.0,4173.0,7989.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,179373.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +194,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-05-07 17:56:16.000000,2024-05-07 17:47:54,1090.0,36.0,465.0,244.0,763.0,213.0,333.0,4611.0,Model interpretability and understanding for PyTorch.,111.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2167.0,2054.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,113.0,225222.0,226081.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,24915.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +195,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-05-15 03:12:08.000000,2023-12-03 03:47:34,490.0,,589.0,65.0,218.0,211.0,158.0,4043.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,6594.0,6472.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,122.0,912861.0,916680.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,156594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +196,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-05-10 04:35:01.000000,2024-05-10 04:35:00,1499.0,7.0,363.0,90.0,743.0,138.0,444.0,3215.0,Quickly and accurately render even the largest data.,55.0,33,True,2024-04-23 11:57:48.000,0.16.1,46.0,datashader,conda-forge/datashader,,,,4252.0,4074.0,https://pypi.org/project/datashader,2024-04-19 12:59:51.000,178.0,107625.0,125696.0,https://anaconda.org/conda-forge/datashader,2024-04-23 12:02:45.109,867415.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +197,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-05-16 15:22:17.000000,2024-05-16 15:00:08,2998.0,135.0,310.0,25.0,2768.0,141.0,1756.0,3144.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",86.0,33,True,2024-05-09 15:13:09.000,1.28.0,100.0,rubrix,conda-forge/rubrix,,,,2473.0,2473.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1100.0,2144.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,30286.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,, +198,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 08:02:14.000,2024-05-14 11:39:12.000000,2024-05-14 11:25:56,3711.0,27.0,190.0,50.0,1367.0,134.0,722.0,1968.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-01-07 21:21:39.000,0.15.0,59.0,pythran,conda-forge/pythran,,,,2167.0,2148.0,https://pypi.org/project/pythran,2024-01-07 21:21:39.000,19.0,219594.0,230572.0,https://anaconda.org/conda-forge/pythran,2024-05-02 00:00:53.765,483033.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +199,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-05-11 11:34:04.000000,2024-04-15 22:25:34,1519.0,1.0,606.0,57.0,1882.0,88.0,898.0,1677.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,33,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14879.0,14654.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,998706.0,998706.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,158.0,104.0,218.0,1596.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,10151.0,9967.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,184.0,633692.0,635319.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,141585.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder +201,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-05-13 13:11:16.000000,2024-05-11 01:06:41,2830.0,26.0,247.0,34.0,212.0,44.0,503.0,1239.0,Python interface for igraph.,75.0,33,False,2024-05-07 17:50:45.000,0.11.5,41.0,python-igraph,conda-forge/igraph,,,,4307.0,3937.0,https://pypi.org/project/python-igraph,2024-05-07 17:50:45.000,370.0,235232.0,253314.0,https://anaconda.org/conda-forge/igraph,2024-05-07 18:54:37.635,529181.0,,,,,1.0,562815.0,,,,,,,,,,,,,,,,,,, +202,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-05-14 08:04:20.000000,2024-05-10 13:09:10,3328.0,48.0,236.0,48.0,385.0,73.0,267.0,1030.0,"OpenCL integration for Python, plus shiny features.",96.0,33,True,2024-05-09 02:37:50.000,2024.2.2,98.0,pyopencl,conda-forge/pyopencl,,,,2050.0,1886.0,https://pypi.org/project/pyopencl,2024-05-09 02:37:50.000,164.0,57582.0,79462.0,https://anaconda.org/conda-forge/pyopencl,2024-05-09 12:35:04.365,1028400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +203,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-05-16 14:09:01.000000,2024-05-16 03:00:26,14039.0,312.0,419.0,52.0,2119.0,151.0,780.0,676.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",161.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1212.0,1095.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,117.0,29815.0,39881.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,442933.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13289.0,1566.0,227.0,767.0,585.0,51976.0,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],129.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,108.0,207588.0,208070.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,20626.0,,,,,2.0,1230.0,,,,,,,,,,,,,,,,,,, +205,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-05-16 14:49:15.000000,2024-05-16 12:43:41,4449.0,853.0,2649.0,264.0,3933.0,104.0,505.0,24228.0,You like pytorch? You like micrograd? You love tinygrad!.,306.0,32,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],63.0,63.0,,,,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,, +206,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-05-16 15:19:11.000000,2024-05-10 07:11:27,2698.0,517.0,1212.0,119.0,2938.0,230.0,904.0,18172.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",104.0,32,True,2024-05-10 08:04:53.000,1.9.2,70.0,,,,,,114.0,114.0,,,,,945.0,,,,,,,,2.0,35000.0,,,,,,,,,,,,,,,,,,, +207,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4630.0,1005.0,1869.0,362.0,658.0,17112.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,999.0,989.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2779.0,2953.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7680.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +208,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,,3425.0,464.0,671.0,590.0,672.0,14960.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1494.0,1480.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,6123.0,6123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +209,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,338.0,1683.0,523.0,1294.0,11155.0,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,,,,,376.0,371.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,18725.0,18852.0,,,,,,,,3.0,9852.0,,,,,,,,,,,,,,,,,,, +210,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-04-08 20:21:16.000000,2024-04-08 20:21:10,864.0,2.0,1280.0,420.0,87.0,32.0,161.0,9692.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1305.0,1285.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,20.0,31137.0,31658.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,28156.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,, +211,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2414.0,457.0,261.0,576.0,363.0,9608.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4903.0,4891.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,12.0,6900.0,6900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +212,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-05-15 04:06:02.000000,2024-05-15 04:06:02,1618.0,68.0,669.0,85.0,738.0,120.0,251.0,8815.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",48.0,32,False,2024-05-07 18:34:46.000,2.6.4,29.0,cleanlab,conda-forge/cleanlab,,,,324.0,308.0,https://pypi.org/project/cleanlab,2024-05-07 18:34:46.000,16.0,27069.0,27666.0,https://anaconda.org/conda-forge/cleanlab,2024-05-08 16:12:11.004,22124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-05-14 22:35:18.000000,2024-05-13 23:40:34,1154.0,15.0,1254.0,148.0,168.0,265.0,1258.0,8354.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,142.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],818.0,804.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,7009.0,10920.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,211230.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-05-16 03:46:31.000000,2024-03-08 03:19:52,2899.0,4.0,1644.0,88.0,1643.0,213.0,1843.0,8295.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1201.0,1194.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,2301.0,2301.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,,870.0,86.0,274.0,78.0,376.0,7804.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,44118.0,43521.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,597.0,2186264.0,2211560.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1163392.0,,,,,2.0,421.0,,,,,,,,,,,,,,,,,,, +216,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-04-23 12:27:20.000000,2024-03-06 05:23:22,360.0,3.0,1504.0,134.0,135.0,15.0,325.0,7541.0,A Python implementation of global optimization with gaussian processes.,44.0,32,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2741.0,2610.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,131.0,538299.0,538300.0,,,,,,,,2.0,147.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,, +217,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-04-29 22:31:53.000000,2024-03-13 19:58:20,1220.0,2.0,1042.0,124.0,275.0,205.0,445.0,7097.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,15181.0,14761.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,420.0,2308217.0,2319413.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,761361.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +218,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-05-14 11:55:09.000000,2024-03-13 09:36:57,2708.0,3.0,1130.0,209.0,1049.0,22.0,615.0,6553.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],394.0,390.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,4.0,10480.0,10480.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,, +219,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,,1816.0,197.0,206.0,13.0,1343.0,6298.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1559.0,1541.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13728.0,14070.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10542.0,,,,,3.0,167.0,,,,,,,,,,,,,,,,,,, +220,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-05-06 16:38:13.000000,2024-05-06 16:38:12,172.0,18.0,1048.0,198.0,114.0,149.0,306.0,5941.0,Official Kaggle API.,42.0,32,True,2024-04-12 01:56:25.000,1.6.12,71.0,kaggle,conda-forge/kaggle,,,,206.0,21.0,https://pypi.org/project/kaggle,2024-04-12 01:56:25.000,185.0,206569.0,210011.0,https://anaconda.org/conda-forge/kaggle,2024-04-14 01:28:23.406,151486.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +221,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 17:20:35.000,2024-04-01 08:16:02.000000,2024-04-01 08:13:40,1215.0,6.0,651.0,63.0,133.0,59.0,437.0,5798.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",41.0,32,True,2024-04-01 08:16:02.000,2.5.0,210.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1522.0,1489.0,https://pypi.org/project/pytorch-metric-learning,2024-04-01 08:03:08.000,33.0,372236.0,372455.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11414.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +222,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-05-07 13:49:33.000000,2024-05-07 13:49:33,2334.0,2.0,1105.0,189.0,235.0,273.0,281.0,5584.0,Distributed Evolutionary Algorithms in Python.,88.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,4989.0,4758.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,231.0,220005.0,228737.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,375491.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-05-15 20:08:13.000000,2024-04-17 17:08:08,2178.0,26.0,286.0,43.0,2140.0,345.0,654.0,4834.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-04-17 17:16:40.000,3.19.3,999.0,aim,conda-forge/aim,,,,586.0,552.0,https://pypi.org/project/aim,2024-05-15 20:08:13.000,34.0,71240.0,72602.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,46337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-05-03 19:17:17.000000,2023-11-23 21:41:49,1136.0,,632.0,89.0,270.0,40.0,252.0,4304.0,Geocoding library for Python.,133.0,32,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,782.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,782.0,5180589.0,5208610.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1316990.0,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +225,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-05-06 21:26:30.000000,2024-03-15 22:39:59,618.0,4.0,118.0,75.0,70.0,19.0,124.0,3723.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2024-03-15 22:38:56.000,6.2.0,50.0,ftfy,conda-forge/ftfy,,,,19826.0,19340.0,https://pypi.org/project/ftfy,2024-03-15 22:38:56.000,486.0,4857588.0,4864739.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,286075.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-05-06 20:51:42.000000,2024-03-15 01:19:18,1424.0,13.0,461.0,56.0,776.0,43.0,475.0,3662.0,NeuralProphet: A simple forecasting package.,53.0,32,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],444.0,439.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,139843.0,139843.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-05-15 22:49:58.000000,2024-05-03 16:54:19,704.0,4.0,258.0,43.0,824.0,99.0,285.0,2934.0,PyTorch extensions for high performance and large scale training.,75.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],5106.0,5040.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,528814.0,535304.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,194701.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,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 21:10:54.000,2024-03-15 06:37:00.287000,2021-10-12 13:32:38,1570.0,,545.0,64.0,546.0,322.0,393.0,2725.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-14 18:24:11.000,0.10.1,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,335.0,,https://pypi.org/project/scikit-optimize,2024-03-14 18:24:11.000,335.0,822741.0,838676.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-15 06:37:00.287,717101.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-04-30 07:43:04.000000,2024-04-30 07:43:04,2947.0,16.0,691.0,74.0,861.0,274.0,629.0,2626.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",126.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,1007.0,964.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,43.0,52439.0,52446.0,,,,,,,,2.0,342.0,,,,,,,,,,,,,,,,,,, +230,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,1.0,584.0,69.0,481.0,247.0,705.0,2293.0,Survival analysis in Python.,117.0,32,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2600.0,2473.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,127.0,519707.0,526571.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,329518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-04-04 16:01:23.000000,2024-03-18 20:30:45,1372.0,19.0,320.0,22.0,47.0,35.0,202.0,2234.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,487.0,477.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,80430.0,81522.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,44788.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-05-15 23:04:11.000000,2024-05-15 23:04:06,5637.0,92.0,692.0,88.0,5907.0,228.0,856.0,2079.0,TFX is an end-to-end platform for deploying production ML pipelines.,185.0,32,True,2024-05-13 23:20:24.000,1.15.1,98.0,tfx,,,,['tensorflow'],17.0,,https://pypi.org/project/tfx,2024-05-13 23:20:24.000,17.0,70179.0,70179.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +233,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-28 16:57:11.000000,2024-03-28 16:57:04,547.0,4.0,155.0,42.0,77.0,6.0,127.0,1995.0,a python library for doing approximate and phonetic matching of strings.,31.0,32,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,9118.0,8881.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,237.0,3451244.0,3469321.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,849646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-04-27 15:12:40.000000,2024-04-27 13:25:47,209.0,16.0,253.0,56.0,76.0,50.0,227.0,1940.0,A Python wrapper for the tesseract-ocr API.,30.0,32,True,2024-04-27 15:12:40.000,2.7.0,21.0,tesserocr,conda-forge/tesserocr,,,,1019.0,985.0,https://pypi.org/project/tesserocr,2024-04-27 15:12:40.000,34.0,67855.0,70373.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,138424.0,,,,,2.0,244.0,,,,,,,,,,,,,,,,,,, +235,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-05-09 19:34:13.000000,2024-04-30 09:39:08,943.0,5.0,224.0,49.0,323.0,181.0,132.0,1840.0,Evaluate: A library for easily evaluating machine learning models and datasets.,126.0,32,True,2024-04-30 09:45:36.000,0.4.2,15.0,evaluate,,,,,9414.0,9079.0,https://pypi.org/project/evaluate,2024-04-30 09:44:17.000,335.0,2891360.0,2891360.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,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 20:34:28.000,2024-05-02 22:47:28.000000,2024-05-02 22:47:23,830.0,7.0,320.0,119.0,783.0,217.0,167.0,1472.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",85.0,32,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3822.0,3779.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,43.0,768901.0,768901.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-04-30 20:12:22.000000,2024-04-30 20:12:21,936.0,13.0,210.0,58.0,101.0,44.0,174.0,982.0,Input pipeline framework.,28.0,32,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,,['tensorflow'],1817.0,1800.0,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,17.0,965342.0,965342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-05-16 12:58:40.000000,2024-05-16 00:52:44,11487.0,134.0,235.0,55.0,12174.0,232.0,2187.0,940.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-04-10 20:37:13.000,0.2.130,150.0,hail,,,,['spark'],160.0,130.0,https://pypi.org/project/hail,2024-04-10 20:37:13.000,30.0,39557.0,39557.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-05-15 10:35:30.000000,2024-04-24 04:18:42,1684.0,10.0,275.0,41.0,1363.0,288.0,363.0,690.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,32,True,2024-05-01 02:14:32.000,0.37.0,44.0,tensorflow-io,,,,['tensorflow'],60.0,,https://pypi.org/project/tensorflow-io,2024-05-01 02:12:48.000,60.0,3886741.0,3886741.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-03-17 08:58:36.000000,2023-07-13 08:50:20,531.0,,2729.0,383.0,120.0,232.0,562.0,25019.0,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'],716.0,710.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,13739.0,72211.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,81686.0,,,,,2.0,3132806.0,,,,,,,,,,,,,,,,,,, +241,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2074.0,184.0,1005.0,574.0,724.0,12544.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,False,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1623.0,1616.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,7309.0,7319.0,,,,,,,,2.0,680.0,,,,,,,,,,,,,,,,,,, +242,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-05-13 09:26:27.000000,2024-05-13 09:26:23,2930.0,43.0,2217.0,198.0,444.0,220.0,474.0,9178.0,FinRL: Financial Reinforcement Learning.,113.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,39.0,39.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1331.0,1331.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +243,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-04-22 20:07:04.000000,2024-03-11 18:51:26,551.0,1.0,1197.0,168.0,431.0,67.0,470.0,8128.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],94.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,73.0,245003.0,273142.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1350700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-05-16 13:23:18.000000,2024-05-04 04:44:37,5973.0,51.0,996.0,114.0,1643.0,102.0,651.0,7588.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-03-25 22:52:24.000,2.10.0,121.0,perspective-python,conda-forge/perspective,,,['jupyter'],148.0,122.0,https://pypi.org/project/perspective-python,2024-03-25 22:45:59.000,22.0,5755.0,22253.0,https://anaconda.org/conda-forge/perspective,2024-03-26 20:17:11.439,594457.0,,,,,2.0,2615.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-03-25 22:45:31.297,4.0,3589.0,,,,,,,,,,, +245,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-05-08 23:39:09.000000,2024-05-08 23:39:06,618.0,10.0,696.0,108.0,190.0,12.0,344.0,5557.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,31,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,840.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,840.0,2024296.0,2037440.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,604636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1716.0,302.0,294.0,161.0,268.0,5445.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1018.0,1006.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,12.0,8418.0,8593.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13140.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +247,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-05-08 06:33:01.000000,2022-09-24 16:20:26,585.0,,922.0,100.0,224.0,108.0,454.0,4810.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3957.0,3858.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,99.0,102759.0,103422.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20557.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-05-15 22:55:44.000000,2024-05-15 11:51:13,3873.0,23.0,527.0,86.0,562.0,109.0,475.0,4801.0,Online machine learning in Python.,114.0,31,True,2024-04-23 13:20:18.000,0.21.1,21.0,river,conda-forge/river,,,,530.0,479.0,https://pypi.org/project/river,2024-04-23 10:26:48.000,51.0,35302.0,36853.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,57423.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-05-09 21:11:54.000000,2024-05-09 21:11:54,613.0,20.0,743.0,83.0,341.0,54.0,331.0,4791.0,Uplift modeling and causal inference with machine learning algorithms.,62.0,31,True,2024-04-19 00:19:00.000,0.15.1,24.0,causalml,,,,,197.0,196.0,https://pypi.org/project/causalml,2024-04-19 00:19:00.000,1.0,77730.0,77730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,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 09:34:48.000,2024-05-07 13:10:17.000000,2024-04-30 18:31:30,796.0,11.0,383.0,75.0,288.0,58.0,516.0,4572.0,Visualizer for pandas data structures.,30.0,31,True,2024-04-30 18:56:18.000,3.12.0,182.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1148.0,1109.0,https://pypi.org/project/dtale,2024-04-30 18:56:18.000,39.0,56425.0,62258.0,https://anaconda.org/conda-forge/dtale,2024-04-30 19:55:43.333,279989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1024.0,153.0,115.0,161.0,79.0,4486.0,"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,,,,43327.0,42913.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,414.0,627315.0,630877.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,163871.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-05-16 13:57:00.000000,2024-05-06 21:29:06,15433.0,68.0,502.0,69.0,3493.0,880.0,1581.0,3952.0,cuML - RAPIDS Machine Learning Library.,171.0,31,True,2024-04-10 20:54:06.000,24.04.00,38.0,cuml,,,,,13.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,13.0,2808.0,2808.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-05-15 19:48:26.000000,2024-04-22 03:28:24,3849.0,16.0,541.0,59.0,893.0,356.0,973.0,3427.0,A highly efficient implementation of Gaussian Processes in PyTorch.,130.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2228.0,2075.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,153.0,199503.0,202757.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,156221.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,185.0,737.0,274.0,669.0,3409.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,274.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,336816.0,336989.0,,,,,,,,3.0,15804.0,,,,,,,,,,,,,,,,,,, +255,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-03-19 06:24:29.000000,2022-05-31 03:18:45,1556.0,,438.0,94.0,124.0,86.0,348.0,3302.0,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,,,,1177.0,1117.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,240269.0,242869.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,111822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,606.0,78.0,78.0,72.0,161.0,3173.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,5999.0,5892.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,107.0,1876135.0,1879086.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,244985.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-05-16 02:22:51.000000,2024-05-16 02:03:05,1302.0,19.0,282.0,57.0,224.0,55.0,421.0,3026.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,37.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,766.0,743.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,23.0,232015.0,252842.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,978895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-05-03 19:57:15.000000,2024-04-05 20:34:01,476.0,7.0,736.0,119.0,125.0,65.0,370.0,2953.0,"Hidden Markov Models in Python, with scikit-learn like API.",48.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2584.0,2508.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,76.0,183301.0,188322.0,https://anaconda.org/conda-forge/hmmlearn,2024-03-02 05:37:57.119,220967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,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 22:38:21.000,2024-04-01 18:35:40.000000,2024-03-04 19:25:47,1086.0,7.0,384.0,62.0,494.0,210.0,271.0,2832.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3780.0,3675.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,105.0,284687.0,285631.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,31163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-05-15 12:04:41.000000,2024-05-15 12:04:36,978.0,9.0,226.0,39.0,535.0,72.0,174.0,2816.0,JAX-based neural network library.,81.0,31,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,2012.0,1856.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,156.0,204659.0,205083.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,16556.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,, +261,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 13:08:13.000,2024-04-23 19:51:43.000000,2024-03-20 01:04:29,1637.0,2.0,323.0,60.0,189.0,126.0,195.0,2803.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1328.0,1257.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,71.0,351800.0,379628.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1307961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-05-16 12:54:13.000000,2024-05-16 12:30:34,1178.0,24.0,240.0,26.0,1022.0,98.0,423.0,2782.0,A python library for self-supervised learning on images.,39.0,31,True,2024-05-16 12:53:22.000,1.5.4,118.0,lightly,,,,['pytorch'],259.0,252.0,https://pypi.org/project/lightly,2024-05-16 12:54:13.000,7.0,31860.0,31860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-05-16 15:28:12.000000,2024-05-07 16:31:11,1145.0,47.0,288.0,34.0,475.0,99.0,368.0,2517.0,Scalable and user friendly neural forecasting algorithms.,44.0,31,True,2024-05-07 16:36:59.000,1.7.2,23.0,neuralforecast,conda-forge/neuralforecast,,,,162.0,146.0,https://pypi.org/project/neuralforecast,2024-05-07 16:36:59.000,16.0,35344.0,35917.0,https://anaconda.org/conda-forge/neuralforecast,2024-05-08 05:29:53.055,14902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,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 19:32:37.000,2024-04-09 11:39:30.000000,2024-04-09 11:39:30,957.0,4.0,394.0,39.0,150.0,45.0,242.0,2373.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1992.0,1750.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,242.0,1678573.0,1686863.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,257018.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,,356.0,83.0,167.0,216.0,146.0,2327.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6110.0,5970.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,131.0,483799.0,488916.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,197494.0,,,,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,915.0,,,,,,,,,,, +266,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-05-16 11:34:57.000000,2024-05-16 01:09:39,1783.0,250.0,358.0,27.0,1863.0,257.0,103.0,1735.0,Pytorch domain library for recommendation systems.,232.0,31,True,2024-04-25 01:39:04.000,0.7.0,77.0,torchrec-nightly-cpu,,,,,111.0,111.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,1314.0,1314.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +267,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-04-19 13:09:14.696000,2024-02-23 02:45:37,1079.0,1.0,226.0,34.0,251.0,57.0,272.0,1529.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,8231.0,8094.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,137.0,2687197.0,2711965.0,https://anaconda.org/conda-forge/pmdarima,2024-04-19 13:09:14.696,1065031.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-05-16 14:04:26.000000,2024-05-16 09:22:41,4076.0,253.0,46.0,164.0,530.0,138.0,419.0,1461.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-04-25 16:12:39.000,4.3.2,74.0,lets-plot,,,,,83.0,75.0,https://pypi.org/project/lets-plot,2024-04-25 15:31:02.000,8.0,25033.0,25045.0,,,,,,,,2.0,660.0,,,,,,,,,,,,,,,,,,, +269,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-05-02 00:41:56.000000,2024-05-02 00:41:53,947.0,8.0,430.0,87.0,229.0,55.0,240.0,1429.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,2764.0,2377.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,387.0,164489.0,173988.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,332490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-05-13 19:33:37.000000,2024-05-10 08:39:25,1554.0,21.0,166.0,16.0,803.0,116.0,445.0,1291.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,108.0,31,True,2024-03-21 03:35:03.000,0.27.0,60.0,pyjanitor,conda-forge/pyjanitor,,,,635.0,607.0,https://pypi.org/project/pyjanitor,2024-03-21 03:34:57.000,28.0,76640.0,80675.0,https://anaconda.org/conda-forge/pyjanitor,2024-03-21 06:08:00.698,193711.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-04-16 17:35:41.000000,2024-04-16 17:27:51,1127.0,7.0,245.0,45.0,518.0,37.0,183.0,1260.0,ARCH models in Python.,35.0,31,False,2024-04-16 17:35:41.000,7.0.0,47.0,arch,conda-forge/arch-py,,,,1720.0,1630.0,https://pypi.org/project/arch,2024-04-16 17:35:41.000,90.0,474942.0,481275.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,297663.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +272,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-05-15 12:21:29.000000,2024-05-15 12:21:28,10682.0,203.0,227.0,36.0,1477.0,206.0,350.0,1159.0,Computations and statistics on manifolds with geometric structures.,92.0,31,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,107.0,104.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,2941.0,3049.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +273,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-05-15 14:24:26.000000,2024-05-15 14:24:26,13421.0,183.0,279.0,34.0,1785.0,463.0,631.0,1018.0,Python package for earth-observing satellite data processing.,153.0,31,False,2024-04-22 16:20:44.000,0.48.0,93.0,satpy,conda-forge/satpy,,,,152.0,127.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,25.0,7985.0,12064.0,https://anaconda.org/conda-forge/satpy,2024-04-23 06:53:48.899,191717.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +274,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-05-08 14:11:18.000000,2024-05-06 11:56:52,685.0,29.0,99.0,24.0,537.0,337.0,420.0,958.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-05-07 03:58:11.000,0.10.0,70.0,hvplot,conda-forge/hvplot,,,,5171.0,4999.0,https://pypi.org/project/hvplot,2024-05-06 12:24:45.000,172.0,211609.0,223715.0,https://anaconda.org/conda-forge/hvplot,2024-05-07 04:39:01.018,569010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,,102.0,32.0,60.0,71.0,80.0,923.0,Describing statistical models in Python using symbolic formulas.,19.0,31,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,96108.0,95629.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,479.0,15712643.0,16038619.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,10431235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +276,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-04-22 23:18:58.000000,2024-04-22 23:18:58,1950.0,35.0,230.0,18.0,296.0,50.0,268.0,833.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-04-22 16:08:04.000,1.5.0,48.0,salib,conda-forge/salib,,,,1218.0,1102.0,https://pypi.org/project/salib,2024-04-22 16:08:04.000,116.0,186474.0,190072.0,https://anaconda.org/conda-forge/salib,2024-04-22 19:44:20.663,154726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-05-16 09:10:25.000000,2024-05-14 13:03:21,167532.0,3097.0,89.0,51.0,2172.0,86.0,286.0,679.0,TensorFlow ROCm port.,4620.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,5287.0,5287.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,, +278,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 11:25:57.000,2024-05-16 08:47:18.000000,2024-05-15 14:57:18,2054.0,131.0,58.0,18.0,1542.0,23.0,211.0,541.0,The MLOps stack component for experiment tracking.,54.0,31,True,2024-05-15 10:02:27.000,1.10.4,207.0,neptune-client,conda-forge/neptune-client,,,,552.0,475.0,https://pypi.org/project/neptune-client,2024-05-15 10:02:27.000,77.0,538849.0,543834.0,https://anaconda.org/conda-forge/neptune-client,2024-05-15 11:17:51.713,239327.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-05-15 17:42:30.000000,2024-05-07 14:47:52,17128.0,32.0,111.0,27.0,3578.0,521.0,3389.0,492.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2024-04-19 23:11:19.000,1.0.2,114.0,datalad,conda-forge/datalad,,,,486.0,394.0,https://pypi.org/project/datalad,2024-04-19 23:11:19.000,92.0,18429.0,28087.0,https://anaconda.org/conda-forge/datalad,2024-04-20 02:44:01.193,453946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-05-11 15:05:28.000000,2024-05-11 15:04:32,307.0,5.0,2793.0,143.0,46.0,120.0,137.0,18233.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,30,True,2024-05-11 15:05:28.000,1.6.9,189.0,vit-pytorch,,,,['pytorch'],472.0,461.0,https://pypi.org/project/vit-pytorch,2024-05-11 15:05:28.000,11.0,23025.0,23025.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,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,,4300.0,1253.0,557.0,840.0,2543.0,17478.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",275.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,534.0,679.0,,,,,,,,3.0,14528.0,,,,,,,,,,,,,,,,,,, +282,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-05-10 06:42:42.000000,2024-05-10 06:42:41,1964.0,7.0,2467.0,283.0,914.0,223.0,679.0,14271.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",124.0,30,True,2024-05-07 10:16:46.000,0.9.4,33.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-05-07 10:16:46.000,1.0,3158.0,3171.0,,,,,,,,2.0,581.0,,,,,,,,,,,,,,,,,,, +283,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2095.0,283.0,3401.0,51.0,1494.0,10434.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,3112.0,3112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +284,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-05-03 20:57:52.000000,2024-02-20 22:38:05,385.0,2.0,2150.0,285.0,98.0,311.0,448.0,8425.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1623.0,1604.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,8224.0,21023.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7085.0,,,,,2.0,923087.0,,,,,,,,,,,,,,,,,,, +285,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,187.0,829.0,7422.0,Automated Machine Learning with scikit-learn.,88.0,30,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],599.0,568.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,31.0,16377.0,16970.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,21950.0,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,, +286,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-05-15 19:44:37.000000,2024-05-15 15:28:11,1006.0,17.0,903.0,136.0,695.0,128.0,318.0,6794.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,87.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,371.0,364.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,49349.0,49833.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,20335.0,,,,,2.0,35.0,,,,,,,,,,,,,,,,,,, +287,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1383.0,189.0,785.0,44.0,423.0,6091.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],657.0,650.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,2127.0,2292.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7786.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +288,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1236.0,153.0,951.0,63.0,787.0,5756.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,72409.0,72409.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-16 12:04:00.000000,2024-05-15 16:01:03,1602.0,43.0,815.0,146.0,1515.0,348.0,399.0,4981.0,Simple and Distributed Machine Learning.,118.0,30,True,2024-04-11 00:33:42.000,1.0.4,48.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-04-11 00:33:42.000,5.0,232737.0,232737.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-05-07 17:21:56.000000,2024-05-07 11:59:05,1458.0,11.0,734.0,74.0,1790.0,311.0,629.0,4339.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],27.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,27.0,281864.0,281888.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-03-20 17:31:08.000000,2023-11-02 13:49:44,662.0,,844.0,150.0,127.0,133.0,104.0,4058.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3449.0,3360.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,89.0,118703.0,119358.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,25552.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-03-18 02:23:40.000000,2023-12-19 14:36:52,3303.0,,537.0,120.0,371.0,77.0,737.0,3987.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,344.0,326.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,18.0,76199.0,77853.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,47977.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-05-09 18:32:20.000000,2024-04-08 14:14:18,1091.0,7.0,346.0,58.0,1348.0,130.0,174.0,3853.0,A Python toolbox for performing gradient-free optimization.,55.0,30,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,720.0,674.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,46.0,218910.0,219914.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,48207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-05-13 07:42:00.000000,2024-04-25 17:26:26,495.0,11.0,526.0,39.0,520.0,12.0,,3623.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,42.0,30,True,2024-04-08 16:09:10.000,0.11.16,101.0,sahi,conda-forge/sahi,,,,1093.0,1080.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,13.0,116637.0,119111.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,57386.0,,,,,2.0,24331.0,,,,,,,,,,,,,,,,,,, +295,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-04-30 15:15:19.000000,2024-03-25 08:55:18,3659.0,3.0,462.0,101.0,1048.0,256.0,368.0,3564.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],168.0,55.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,92.0,123850.0,154055.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1294432.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,3238.0,,,,,,,,,,, +296,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-05-02 05:07:00.000000,2024-04-18 17:19:51,1212.0,37.0,471.0,63.0,733.0,7.0,531.0,3497.0,On-device wake word detection powered by deep learning.,37.0,30,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,43.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,15.0,8173.0,8173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-03-20 16:59:01.000000,2023-11-21 21:15:59,435.0,,604.0,77.0,228.0,85.0,406.0,3435.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1359.0,1331.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,28.0,180943.0,194935.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,614430.0,,,,,2.0,786.0,,,,,,,,,,,,,,,,,,, +298,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-04-25 20:54:01.681000,2024-04-24 11:35:19,406.0,3.0,243.0,64.0,53.0,9.0,,3308.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",15.0,30,True,2024-04-24 11:36:32.000,4.6.2,28.0,textdistance,conda-forge/textdistance,,,,6401.0,6308.0,https://pypi.org/project/textdistance,2024-04-24 11:35:57.000,93.0,851364.0,864488.0,https://anaconda.org/conda-forge/textdistance,2024-04-25 20:54:01.681,550686.0,,,,,2.0,1000.0,,,,,,,,,,,,,,,,,,, +299,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-05-06 21:21:33.000000,2024-03-11 00:59:40,984.0,4.0,571.0,97.0,336.0,44.0,718.0,3270.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,30,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1146.0,1092.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,54.0,42442.0,45543.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,148876.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +300,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-05-16 15:18:46.000000,2024-05-16 07:26:21,634.0,94.0,579.0,37.0,866.0,122.0,709.0,3221.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",79.0,30,True,2024-03-27 16:32:44.000,1.0.1,30.0,anomalib,,,,,67.0,64.0,https://pypi.org/project/anomalib,2024-03-27 16:33:12.000,3.0,20424.0,20758.0,,,,,,,,2.0,9712.0,,,,,,,,,,,,,,,,,,, +301,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-12-13 21:21:22.000000,2023-10-24 18:29:08,333.0,,324.0,66.0,75.0,15.0,121.0,3023.0,A Python Perceptual Image Hashing Module.,26.0,30,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,13162.0,12948.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,214.0,1675232.0,1679307.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,366768.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-05-16 13:53:49.000000,2024-05-16 13:52:59,7745.0,431.0,345.0,81.0,9001.0,121.0,338.0,2876.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",115.0,30,True,2024-05-10 17:24:08.000,0.32.1,534.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-05-10 17:47:38.000,4.0,52967.0,53144.0,,,,,,,,3.0,7984.0,,,,,,,,,,,,,,,,,,, +303,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-31 00:50:11.000000,2024-03-31 00:50:11,2705.0,31.0,366.0,38.0,517.0,53.0,216.0,2775.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,255.0,249.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,4663.0,4830.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7366.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,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 13:32:37.000,2024-04-30 15:04:21.000000,2024-04-30 15:04:21,999.0,2.0,482.0,56.0,137.0,349.0,167.0,2687.0,A high performance implementation of HDBSCAN clustering.,88.0,30,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3756.0,3458.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,298.0,599551.0,643904.0,https://anaconda.org/conda-forge/hdbscan,2024-04-18 14:14:17.442,1907188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,12.0,421.0,44.0,365.0,22.0,349.0,2664.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,595.0,581.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2495.0,2780.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,13135.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-05-16 14:36:23.000000,2024-05-06 15:17:55,1587.0,44.0,321.0,37.0,338.0,33.0,159.0,2650.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,38.0,30,True,2024-05-06 15:33:09.000,2.5.0,40.0,shapash,,,,['jupyter'],162.0,158.0,https://pypi.org/project/shapash,2024-05-06 15:33:09.000,4.0,7330.0,7330.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-05-06 22:09:13.000000,2024-04-05 11:33:33,2908.0,28.0,991.0,121.0,516.0,59.0,300.0,2555.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],109.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,109.0,488071.0,511461.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,1005808.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,85.0,250.0,66.0,63.0,33.0,186.0,2098.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,30,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],50.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,1.0,1321.0,1321.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-05-02 02:00:08.000000,2024-04-30 19:42:51,1502.0,48.0,204.0,50.0,253.0,166.0,158.0,2063.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",42.0,30,True,2024-04-30 21:24:12.000,0.33.8,176.0,graphistry,,,,['jupyter'],120.0,114.0,https://pypi.org/project/graphistry,2024-04-30 21:24:12.000,6.0,4766.0,4766.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-05-15 17:41:38.000000,2024-05-15 17:41:38,890.0,31.0,127.0,21.0,375.0,118.0,236.0,1837.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,51.0,30,True,2024-04-14 13:04:28.000,0.11.4,48.0,equinox,,,,['jax'],670.0,548.0,https://pypi.org/project/equinox,2024-04-14 13:04:28.000,122.0,261397.0,261397.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +311,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-05-09 13:59:01.000000,2024-05-09 13:59:01,451.0,11.0,282.0,60.0,105.0,22.0,100.0,1807.0,ffn - a financial function library for Python.,33.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,471.0,455.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,16.0,153383.0,153580.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,7321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-04-29 20:57:51.000000,2024-04-29 20:57:51,290.0,5.0,359.0,51.0,78.0,77.0,113.0,1784.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,43.0,30,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6130.0,6032.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,98.0,155402.0,156534.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,80394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-05-03 19:51:28.000000,2024-02-16 16:14:36,365.0,,261.0,48.0,313.0,248.0,184.0,1758.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,30,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],323.0,322.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,472232.0,472232.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-05-08 21:10:35.000000,2024-05-08 21:10:35,1593.0,3.0,283.0,55.0,139.0,80.0,184.0,1756.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2972.0,2841.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,131.0,46286.0,54666.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,318476.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-05-16 00:55:58.000000,2024-04-29 07:26:04,1656.0,190.0,90.0,23.0,306.0,34.0,73.0,1738.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",36.0,30,True,2024-04-29 07:26:08.000,2.12.0,114.0,usearch,,unum/usearch,,,89.0,69.0,https://pypi.org/project/usearch,2024-04-29 08:22:26.000,6.0,62928.0,68941.0,,,,https://hub.docker.com/r/unum/usearch,2024-04-29 07:28:41.232497,1.0,75.0,3.0,1251.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-04-10 02:44:41.570,14.0,5895.0,,,,,,,,,,, +316,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-05-03 19:44:08.000000,2024-04-29 13:01:42,1192.0,72.0,177.0,19.0,159.0,49.0,135.0,1708.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,30,True,2024-03-15 11:44:36.000,0.35.0,38.0,audiomentations,,,,,497.0,484.0,https://pypi.org/project/audiomentations,2024-03-15 11:44:36.000,13.0,21972.0,21972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-05-12 19:49:56.000000,2024-05-09 07:46:01,3896.0,63.0,281.0,27.0,574.0,88.0,712.0,1687.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,78.0,30,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,85.0,82.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,1122.0,1122.0,,,,,,,,2.0,21.0,,,,,,,,,,,,,,,,,,, +318,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-05-01 13:16:01.000000,2024-03-05 19:49:17,712.0,3.0,318.0,43.0,366.0,81.0,214.0,1621.0,Training PyTorch models with differential privacy.,78.0,30,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],815.0,783.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,32.0,132177.0,132672.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,13830.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,, +319,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-30 17:39:23.000000,2024-03-30 17:39:23,1059.0,8.0,217.0,52.0,204.0,29.0,281.0,1618.0,A full spaCy pipeline and models for scientific/biomedical documents.,33.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,922.0,891.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,26598.0,26598.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-04-07 13:04:52.000000,2024-04-07 13:04:52,1249.0,5.0,136.0,30.0,109.0,35.0,254.0,1541.0,Statistical package in Python based on Pandas.,45.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,2066.0,1992.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,66144.0,68643.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,117472.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-04-11 17:54:34.000000,2024-04-11 17:54:34,1875.0,17.0,269.0,45.0,274.0,60.0,198.0,1503.0,TensorLy: Tensor Learning in Python.,67.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,727.0,650.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,77.0,32752.0,37812.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,364382.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-04-25 13:15:07.000000,2024-04-25 13:15:07,1476.0,4.0,159.0,32.0,249.0,,,1321.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1699.0,1648.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,51.0,257525.0,258625.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,33009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-05-13 16:50:32.000000,2024-03-15 15:54:00,4210.0,4.0,285.0,80.0,644.0,21.0,609.0,1279.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,30,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,1556.0,1517.0,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,24269.0,36047.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,541808.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +324,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-04-05 19:20:06.000000,2024-04-05 18:52:42,3044.0,24.0,269.0,34.0,37.0,1.0,491.0,1213.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-04-05 19:20:07.000,0.41.3,210.0,ktrain,,,,['tensorflow'],521.0,518.0,https://pypi.org/project/ktrain,2024-04-05 18:57:50.000,3.0,10708.0,10708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +325,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 15:56:06.000,2024-04-02 02:34:15.000000,2024-04-02 02:31:39,818.0,7.0,248.0,40.0,509.0,274.0,256.0,884.0,Scalable Machine Learning with Dask.,78.0,30,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1105.0,1016.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,89.0,328672.0,345864.0,https://anaconda.org/conda-forge/dask-ml,2024-03-21 17:55:27.760,825238.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-05-15 18:04:27.000000,2024-05-15 18:04:20,3119.0,80.0,112.0,16.0,278.0,7.0,150.0,759.0,Python bindings for MPI.,26.0,30,True,2024-04-14 10:39:44.000,3.1.6,28.0,mpi4py,conda-forge/mpi4py,,,,672.0,,https://pypi.org/project/mpi4py,2024-04-14 10:34:55.000,672.0,218999.0,277007.0,https://anaconda.org/conda-forge/mpi4py,2024-04-15 09:42:38.104,2472542.0,,,,,2.0,23372.0,,,,,,,,,,,,,,,,,,, +327,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 15:47:02.000,2024-05-08 17:43:55.000000,2024-05-08 17:43:54,962.0,14.0,166.0,48.0,85.0,37.0,144.0,753.0,Library for exploring and validating machine learning data.,26.0,30,True,2024-04-24 23:26:22.000,1.15.1,46.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",917.0,886.0,https://pypi.org/project/tensorflow-data-validation,2024-04-24 23:54:11.000,31.0,191423.0,191432.0,,,,,,,,3.0,653.0,,,,,,,,,,,,,,,,,,, +328,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-05-02 04:23:06.000000,2024-05-02 04:21:55,1073.0,19.0,173.0,35.0,117.0,27.0,61.0,722.0,Snowball compiler and stemming algorithms.,34.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,406.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,401.0,15758675.0,15844980.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8026367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,37.0,57.0,479.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,20740.0,20617.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,123.0,2087653.0,2105531.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,768780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-04-23 19:58:08.000000,2023-04-19 14:13:08,2404.0,,3678.0,605.0,227.0,49.0,,13182.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2098.0,2037.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,61.0,19908.0,19908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,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,,1840.0,217.0,46.0,96.0,94.0,8954.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,116248.0,116949.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,32985.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +332,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-05-09 01:38:51.000000,2024-04-26 06:29:23,1174.0,6.0,1318.0,100.0,640.0,691.0,521.0,8076.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,127.0,29,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2459.0,2459.0,,,,,4761.0,https://anaconda.org/conda-forge/nvidia-apex,2024-05-02 01:13:53.661,204760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +333,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1156.0,211.0,92.0,194.0,122.0,5696.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,471.0,459.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,17795.0,17795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +334,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-05-11 05:24:38.000000,2024-04-25 16:08:12,1087.0,2.0,378.0,80.0,529.0,59.0,454.0,5648.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,29,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1312.0,1235.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,77.0,164861.0,182598.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,780441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +335,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,888.0,126.0,38.0,72.0,144.0,5243.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],3384.0,3295.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,89.0,754637.0,754955.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,15283.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +336,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,147.0,789.0,141.0,356.0,4731.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2910.0,2864.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,215627.0,215634.0,,,,,,,,2.0,364.0,,,,,,,,,,,,,,,,,,, +337,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,,445.0,41.0,124.0,67.0,154.0,4318.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1239.0,1179.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,60.0,119280.0,119832.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,19351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,69.0,367.0,98.0,460.0,4162.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3060.0,3002.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,58.0,28791.0,28965.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,5231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,,274.0,46.0,50.0,27.0,94.0,3869.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5450.0,5312.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,138.0,894632.0,901398.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,284194.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,510.0,76.0,38.0,12.0,121.0,3819.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,16276.0,16162.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,114.0,265847.0,432343.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,332993.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +341,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-06 14:40:43.000000,2024-02-24 20:17:13,454.0,6.0,524.0,113.0,93.0,21.0,101.0,3431.0,Module for automatic summarization of text documents and HTML pages.,31.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2749.0,2723.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,26.0,416453.0,416678.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,384.0,45.0,1085.0,2.0,353.0,3234.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1147.0,1117.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,12378.0,12378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-05-16 13:41:04.000000,2024-05-15 20:39:52,858.0,53.0,364.0,42.0,934.0,33.0,304.0,3120.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",46.0,29,True,2024-03-04 14:51:09.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",3.0,,https://pypi.org/project/python-doctr,2024-03-04 14:51:09.000,3.0,31439.0,105832.0,,,,,,,,3.0,2901337.0,,,,,,,,,,,,,,,,,,, +344,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,,674.0,110.0,72.0,100.0,123.0,2983.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10836.0,10734.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,102.0,66502.0,66502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +345,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 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,294.0,33.0,476.0,53.0,30.0,2952.0,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'],1250.0,1166.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,84.0,136424.0,136694.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,10015.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +346,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-04-15 09:57:54.000000,2024-04-13 08:53:37,1167.0,17.0,385.0,49.0,74.0,142.0,479.0,2943.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-04-10 12:40:10.000,1.1.7,90.0,mljar-supervised,conda-forge/mljar-supervised,,,,112.0,110.0,https://pypi.org/project/mljar-supervised,2024-04-10 12:40:10.000,2.0,3478.0,3886.0,https://anaconda.org/conda-forge/mljar-supervised,2024-04-15 06:59:59.678,14295.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,424.0,63.0,933.0,325.0,745.0,2899.0,StellarGraph - Machine Learning on Graphs.,37.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],271.0,260.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,8754.0,8754.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-05-15 22:09:09.000000,2024-05-15 22:09:02,3535.0,15.0,341.0,153.0,1176.0,32.0,60.0,2695.0,Neural Network Libraries.,76.0,29,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,44.0,3395.0,3406.0,,,,,,,,3.0,918.0,,,,,,,,,,,,,,,,,,, +349,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,95.0,1045.0,260.0,297.0,2552.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1550.0,1528.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,78130.0,78130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-03-18 12:42:13.000000,2018-08-19 12:37:47,130.0,,279.0,65.0,60.0,29.0,39.0,2402.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,29,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4964.0,4880.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,84.0,520325.0,522434.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,172987.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,67.0,207.0,2347.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,29,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],298.0,291.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,8612.0,8612.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-05-06 21:11:26.000000,2024-04-08 19:42:17,436.0,17.0,809.0,90.0,284.0,188.0,102.0,2327.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,29,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,437.0,411.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,26.0,45889.0,46118.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,10083.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-05-07 14:46:34.000000,2024-05-07 14:46:34,662.0,10.0,247.0,52.0,650.0,146.0,225.0,2303.0,Algorithms for explaining machine learning models.,22.0,29,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,622.0,597.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,18691.0,18691.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-05-07 14:46:58.000000,2024-05-07 14:46:58,726.0,10.0,213.0,37.0,536.0,141.0,235.0,2100.0,"Algorithms for outlier, adversarial and drift detection.",23.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,443.0,436.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,30914.0,30914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-05-16 15:15:58.000000,2024-05-16 15:15:57,850.0,5.0,392.0,37.0,874.0,170.0,294.0,1818.0,A Python package to assess and improve fairness of machine learning models.,81.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],53.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,50.0,276229.0,276992.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,32054.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-05-16 07:49:49.000000,2024-05-06 18:14:07,2448.0,1.0,437.0,76.0,1265.0,148.0,682.0,1802.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],692.0,655.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,52577.0,52944.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,26469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +357,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-04-25 08:57:36.000000,2024-04-25 00:46:12,1435.0,20.0,271.0,73.0,105.0,33.0,55.0,1242.0,Model analysis tools for TensorFlow.,57.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,23.0,78344.0,78344.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-05-15 15:59:37.000000,2024-05-03 19:48:19,1959.0,18.0,321.0,27.0,2267.0,87.0,226.0,1235.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,29,True,2024-05-01 20:26:32.000,0.35.0,55.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",104.0,98.0,https://pypi.org/project/raiwidgets,2024-04-18 18:42:57.000,6.0,4335.0,4335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +359,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-05-03 21:03:08.000000,2024-01-17 21:03:09,532.0,,411.0,51.0,40.0,16.0,139.0,1223.0,"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,,,,2638.0,2600.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,349656.0,350524.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,42569.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,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 22:15:53.000,2024-05-13 00:54:40.000000,2024-05-05 17:04:42,1099.0,37.0,207.0,23.0,139.0,24.0,192.0,1075.0,Survival analysis built on top of scikit-learn.,20.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],500.0,473.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,27.0,96336.0,99298.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,88889.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-04-01 17:38:38.000000,2024-03-25 14:43:57,494.0,1.0,121.0,31.0,128.0,27.0,74.0,885.0,Python bindings and utilities for GeoJSON.,56.0,29,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17814.0,17190.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,624.0,1749364.0,1802813.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,801748.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +362,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-05-15 15:22:35.000000,2024-05-15 15:22:35,674.0,8.0,104.0,14.0,97.0,71.0,65.0,842.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,29,True,2024-03-29 20:37:40.000,0.5.12,31.0,pynndescent,conda-forge/pynndescent,,,,6530.0,6391.0,https://pypi.org/project/pynndescent,2024-03-29 20:37:40.000,139.0,1344837.0,1384834.0,https://anaconda.org/conda-forge/pynndescent,2024-03-29 21:39:55.734,1839888.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +363,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-05-02 23:52:53.000000,2024-05-02 23:51:30,1310.0,8.0,149.0,50.0,57.0,21.0,69.0,831.0,Computer Vision in Python.,35.0,29,True,2024-04-17 11:27:48.000,1.4.15,61.0,mahotas,conda-forge/mahotas,,,,1317.0,1257.0,https://pypi.org/project/mahotas,2024-04-17 11:27:48.000,60.0,18212.0,26880.0,https://anaconda.org/conda-forge/mahotas,2024-04-18 00:57:35.551,407403.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-05-07 15:53:15.000000,2024-05-01 16:34:13,823.0,15.0,75.0,26.0,385.0,109.0,233.0,568.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-04-05 15:56:28.000,1.12.0,63.0,geoviews,conda-forge/geoviews,,,,1041.0,985.0,https://pypi.org/project/geoviews,2024-04-05 10:57:38.000,56.0,12762.0,17777.0,https://anaconda.org/conda-forge/geoviews,2024-04-05 16:04:19.139,220674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +365,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-04-12 14:20:43.000000,2024-04-12 14:18:33,232.0,5.0,58.0,13.0,204.0,13.0,187.0,317.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-04-12 14:20:43.000,3.9.1,72.0,pystan,conda-forge/pystan,,,,9957.0,9800.0,https://pypi.org/project/pystan,2024-04-12 14:20:43.000,157.0,1882087.0,1914917.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2823388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4819.0,651.0,372.0,498.0,436.0,15395.0,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,,,,,566.0,563.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,881.0,881.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +367,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-05-16 07:22:34.000000,2023-12-28 07:35:14,2224.0,,2813.0,197.0,3655.0,1200.0,4131.0,12162.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,28,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,726.0,726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-05-06 20:38:27.000000,2024-05-06 20:36:49,342.0,9.0,1365.0,428.0,50.0,102.0,87.0,10378.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,27301.0,27301.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +369,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-04-05 19:03:17.000000,2022-11-08 22:11:16,98.0,,1772.0,205.0,73.0,109.0,36.0,10122.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,15.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,13.0,59992.0,59992.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +370,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-05-02 01:34:04.000000,2023-04-19 16:47:52,581.0,,1146.0,350.0,80.0,49.0,231.0,7929.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,768.0,742.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,3088.0,3474.0,,,,,,,,2.0,31302.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,, +371,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,267.0,98.0,82.0,81.0,7325.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],246.0,238.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,277449.0,277449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1330.0,175.0,46.0,78.0,238.0,6830.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],30.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,9.0,79417.0,79417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +373,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 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,204.0,158.0,44.0,227.0,5492.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],768.0,762.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1572.0,1572.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +374,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,273.0,438.0,221.0,329.0,4819.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],317.0,315.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,626.0,626.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +375,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-12-24 09:12:15.000000,2023-04-30 18:36:20,483.0,,676.0,88.0,206.0,153.0,356.0,4618.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1465.0,1433.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,423263.0,425585.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,176508.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,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 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,435.0,71.0,61.0,101.0,56.0,4520.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1797.0,1790.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,260415.0,260415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +377,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,988.0,146.0,31.0,51.0,77.0,4259.0,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,,,,8502.0,8415.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,87.0,206741.0,207109.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13987.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-05-10 20:41:29.000000,2024-04-05 14:20:01,251.0,2.0,917.0,52.0,55.0,69.0,106.0,4198.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,17.0,28,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],1822.0,1792.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,30.0,66186.0,84139.0,,,,,,,,3.0,969489.0,,,,,,,,,,,,,,,,,,, +379,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-04-13 16:57:34.000000,2024-03-19 16:05:30,525.0,2.0,725.0,176.0,82.0,8.0,280.0,4170.0,A python wrapper for Alpha Vantage API for financial data.,43.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,581.0,548.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,33.0,30596.0,30763.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,412.0,37.0,56.0,137.0,43.0,3967.0,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'],14125.0,14005.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,251532.0,251532.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,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,,971.0,217.0,408.0,140.0,402.0,3848.0,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,,,,,1057.0,1045.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,2600.0,2600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +382,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-05-14 20:21:00.000000,2024-03-15 19:57:42,1777.0,38.0,583.0,39.0,830.0,481.0,283.0,3646.0,Time series forecasting with PyTorch.,44.0,28,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,16.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,16.0,48141.0,49419.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,56248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-05-10 21:58:54.000000,2024-04-17 02:40:53,1439.0,60.0,343.0,69.0,1333.0,96.0,83.0,3408.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,28,True,2024-04-09 23:12:45.000,1.1.1,16.0,lit-nlp,conda-forge/lit-nlp,,,,35.0,32.0,https://pypi.org/project/lit-nlp,2024-04-09 23:12:45.000,3.0,4607.0,6220.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,71008.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-05-08 10:57:30.000000,2024-02-22 12:17:17,1487.0,2.0,244.0,19.0,1742.0,287.0,726.0,3398.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,28,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,381.0,374.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,70192.0,70218.0,,,,,,,,2.0,834.0,,,,,,,,,,,,,,,,,,, +385,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-05-03 17:19:46.000000,2024-05-03 17:18:25,1200.0,5.0,413.0,82.0,54.0,61.0,202.0,3396.0,A library of reinforcement learning components and agents.,85.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],202.0,199.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1953.0,2154.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8469.0,,,,,1.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,, +386,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,,455.0,82.0,245.0,61.0,155.0,3035.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,184.0,182.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,59940.0,59941.0,,,,,,,,2.0,77.0,,,,,,,,,,,,,,,,,,, +387,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,,330.0,46.0,120.0,66.0,136.0,2851.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1180.0,1156.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,128794.0,130440.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,69133.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-20 16:55:01.000000,2024-03-20 16:53:52,2297.0,1.0,722.0,79.0,205.0,191.0,466.0,2740.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],12.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,12.0,47087.0,47087.0,,,,,,,,1.0,,-2.0,,,,,,,,,,,,,,,,,, +389,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,8.0,473.0,96.0,43.0,89.0,240.0,2716.0,Learning to Rank in TensorFlow.,34.0,28,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,129319.0,129319.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +390,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-05-15 11:53:37.000000,2024-05-13 15:04:22,3519.0,14.0,522.0,108.0,350.0,388.0,685.0,2709.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,670.0,650.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,18193.0,18193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +391,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 02:26:03.000,2024-04-23 23:08:36.000000,2023-12-03 09:09:14,2415.0,,254.0,27.0,1131.0,77.0,224.0,2583.0,Database system for AI-powered apps.,73.0,28,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],142.0,142.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,5357.0,24093.0,,,,,,,,3.0,412207.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,, +392,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-05-15 12:20:54.000000,2024-05-11 08:34:44,110.0,24.0,319.0,27.0,304.0,40.0,332.0,2414.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,28,True,2024-04-25 13:54:25.000,0.2.0,19.0,adapter-transformers,,,,['huggingface'],56.0,49.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,126180.0,126180.0,,,,,,,,2.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,, +393,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,313.0,64.0,14.0,29.0,47.0,2248.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11277.0,11133.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,144.0,395512.0,395512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-04-26 00:01:37.000000,2021-07-09 11:06:18,56.0,,496.0,42.0,25.0,66.0,38.0,2128.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,28,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],5246.0,5195.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,81317.0,81547.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-05-16 14:29:35.000000,2024-05-16 14:29:35,2057.0,248.0,126.0,28.0,198.0,16.0,22.0,1877.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-03-21 07:36:40.000,0.5.1,145.0,labml,,,,,155.0,149.0,https://pypi.org/project/labml,2024-03-21 07:36:40.000,6.0,4803.0,4803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +396,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,,400.0,41.0,62.0,19.0,270.0,1875.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1642.0,1620.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,34297.0,35014.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,31559.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +397,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,,377.0,50.0,125.0,41.0,422.0,1671.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,28,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,248.0,235.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,13.0,2998.0,3118.0,,,,,,,,1.0,11855.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,, +398,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-04-29 18:33:44.000000,2024-04-29 18:20:59,222.0,29.0,197.0,32.0,20.0,1.0,89.0,1637.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,28,True,2024-04-29 18:33:44.000,0.1.904,89.0,autoviz,conda-forge/autoviz,,,,683.0,676.0,https://pypi.org/project/autoviz,2024-04-29 18:33:44.000,7.0,34785.0,36299.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,49983.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +399,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,184.0,34.0,72.0,22.0,52.0,1488.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],3049.0,3019.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,30.0,1390009.0,1390528.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,20775.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-05-13 09:59:37.000000,2024-05-13 09:59:37,589.0,20.0,415.0,30.0,50.0,14.0,125.0,1393.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,29.0,28,False,2024-02-16 09:48:48.000,2.3.2,25.0,minisom,,,,,608.0,584.0,https://pypi.org/project/minisom,2024-02-16 09:47:58.000,24.0,23128.0,23128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +401,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-04-22 13:41:28.000000,2024-04-22 13:41:26,1044.0,29.0,113.0,23.0,115.0,32.0,53.0,1300.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,28,True,2024-03-12 03:37:43.000,1.4.3,46.0,imodels,,,,,79.0,72.0,https://pypi.org/project/imodels,2024-03-11 20:28:16.000,7.0,70027.0,70027.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +402,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,327.0,39.0,301.0,27.0,200.0,1234.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,405.0,383.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,22904.0,22904.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +403,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-05-16 07:10:44.000000,2024-05-12 11:19:19,514.0,25.0,113.0,23.0,364.0,33.0,273.0,1160.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-04-16 14:59:21.000,0.8.2,50.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],151.0,143.0,https://pypi.org/project/scikit-lego,2024-04-16 12:18:11.000,8.0,22001.0,22999.0,https://anaconda.org/conda-forge/scikit-lego,2024-04-17 13:14:18.003,47910.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +404,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-05-16 15:30:08.000000,2024-05-16 15:30:04,1806.0,285.0,76.0,10.0,541.0,44.0,623.0,1125.0,An open-source container orchestration engine for running AI workloads in any cloud or data center...,24.0,28,True,2024-04-30 10:54:46.000,0.18.1,202.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-05-13 11:35:57.000,,2635.0,2635.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +405,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,,445.0,42.0,176.0,93.0,102.0,1025.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],304.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,304.0,5354524.0,5385768.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2218356.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-05-15 21:24:15.000000,2024-05-13 10:29:37,3144.0,281.0,107.0,11.0,547.0,36.0,108.0,933.0,Time series forecasting with scikit-learn models.,13.0,28,True,2024-05-05 12:55:26.000,0.12.0,26.0,skforecast,,,,['sklearn'],271.0,260.0,https://pypi.org/project/skforecast,2024-05-05 12:52:36.000,11.0,49172.0,49172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +407,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-05-12 23:17:26.000000,2024-05-12 22:59:32,3715.0,8.0,323.0,65.0,687.0,37.0,528.0,820.0,The Classical Language Toolkit.,121.0,28,True,2024-05-13 16:48:36.000,1.2.6,217.0,cltk,,,,,275.0,260.0,https://pypi.org/project/cltk,2024-05-12 23:09:13.000,15.0,2227.0,2227.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,, +408,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-05-07 17:51:00.077000,2024-05-06 22:23:15,1352.0,20.0,130.0,25.0,471.0,14.0,132.0,820.0,A Comparative Framework for Multimodal Recommender Systems.,21.0,28,True,2024-05-06 22:24:15.000,2.2.0,57.0,cornac,conda-forge/cornac,,,,228.0,210.0,https://pypi.org/project/cornac,2024-05-06 22:50:06.000,18.0,33003.0,41037.0,https://anaconda.org/conda-forge/cornac,2024-05-07 17:51:00.077,377643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +409,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,36.0,11.0,69.0,7.0,26.0,209.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,43081.0,42987.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,94.0,9046381.0,9094124.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2100729.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +410,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1068.0,236.0,455.0,67.0,265.0,17176.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,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,,47610.0,48020.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,23814.0,3.0,,,,,,,,,,,,,,,,,,,, +411,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-05-16 12:12:05.000000,2024-05-16 11:58:37,937.0,189.0,995.0,97.0,437.0,233.0,335.0,11182.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",78.0,27,False,2024-05-16 12:12:05.000,2.0.41,100.0,pandas-ai,,,,,2998.0,2998.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,, +412,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,130.0,51.0,155.0,141.0,7768.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,141784.0,219522.0,,,,,,,,2.0,3886942.0,,,,,,,,,,,,,,,,,,, +413,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,459.0,698.0,33.0,441.0,7297.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2526.0,2549.0,,,,,,,,2.0,2191.0,,,,,,,,,,,,,,,,,,, +414,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,,1351.0,348.0,14.0,42.0,66.0,6341.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1336.0,1329.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,7.0,34028.0,34028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1586.0,624.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,2309.0,2309.0,,,,,,,,3.0,8.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,, +416,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-05-09 13:02:01.000000,2024-04-29 15:11:44,653.0,1.0,1003.0,146.0,97.0,90.0,305.0,6207.0,A Python scikit for building and analyzing recommender systems.,45.0,27,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,57.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,36.0,87314.0,95206.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,363053.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-04-29 08:04:00.000000,2024-03-08 08:24:03,13775.0,82.0,1536.0,141.0,3584.0,850.0,1101.0,5527.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +418,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,125.0,64.0,136.0,74.0,5027.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,761.0,749.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,9836.0,9836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +419,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-04-04 13:02:44.000000,2024-04-04 13:02:44,6153.0,1.0,527.0,151.0,1906.0,338.0,1331.0,4425.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,1618.0,1674.0,,,,,,,,2.0,6076.0,,,,,,,,,,,,,,,,,,, +420,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,,553.0,104.0,617.0,95.0,606.0,4206.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],91.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,91.0,565805.0,567533.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,77779.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +421,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-04-23 02:12:59.000000,2024-04-23 02:12:59,1138.0,1.0,720.0,60.0,1013.0,167.0,740.0,4105.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],126.0,123.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,9821.0,9821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,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,,964.0,283.0,226.0,12.0,356.0,3868.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,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 20:05:56.000,5.0,733445.0,733852.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,21614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-04-09 15:08:12.000000,2024-04-09 15:08:11,2114.0,6.0,538.0,144.0,239.0,39.0,634.0,3283.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],450.0,446.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,941.0,941.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +424,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-05-15 16:45:32.000000,2023-09-10 15:15:16,1059.0,,238.0,62.0,114.0,8.0,273.0,3219.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,553.0,540.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,13.0,17429.0,17450.0,,,,,,,,3.0,1306.0,,,,,,,,,,,,,,,,,,, +425,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,,363.0,81.0,63.0,154.0,189.0,3192.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,476.0,460.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,16.0,4612.0,12173.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,650294.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-05-14 09:50:52.000000,2024-05-14 09:50:38,1632.0,120.0,629.0,44.0,28.0,1.0,473.0,3006.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,753.0,753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +427,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-04-27 07:02:54.000000,2022-09-28 17:12:28,249.0,,310.0,29.0,321.0,77.0,38.0,2715.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],932.0,931.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,19334.0,19423.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2937.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +428,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,89.0,124.0,33.0,230.0,2179.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1842.0,1776.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,47459.0,49151.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,142140.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,64.0,38.0,97.0,160.0,2170.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],358.0,352.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,10730.0,10730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +430,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2063.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2114.0,2100.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,104677.0,108976.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,494.0,,,,,3.0,257285.0,,,,,,,,,,,,,,,,,,, +431,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-05-03 16:38:58.000000,2024-04-04 12:44:05,521.0,2.0,401.0,85.0,104.0,79.0,259.0,2044.0,bt - flexible backtesting for Python.,32.0,27,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1613.0,1603.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,10.0,7455.0,8086.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,23359.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +432,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,16.0,160.0,61.0,68.0,65.0,130.0,1803.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,412.0,410.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,935.0,935.0,,,,,,,,3.0,34.0,,,,,,,,,,,,,,,,,,, +433,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 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,213.0,36.0,1081.0,25.0,496.0,1729.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],282.0,277.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2661.0,3212.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,18210.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,, +434,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,33.0,269.0,27.0,187.0,10.0,390.0,1618.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,27,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],182.0,174.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1703.0,1703.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-05-16 14:52:34.000000,2024-05-15 23:44:28,6414.0,121.0,289.0,46.0,2717.0,311.0,1425.0,1585.0,cuGraph - RAPIDS Graph Analytics Library.,113.0,27,True,2024-04-10 21:01:45.000,24.04.00,35.0,cugraph,conda-forge/libcugraph,,,,6.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,239.0,748.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,18868.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +436,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1572.0,Distributed Deep learning with Keras & Spark.,27.0,27,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",75.0,75.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,,41500.0,41741.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13790.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-05-14 09:53:07.000000,2024-05-04 16:48:06,2829.0,13.0,175.0,26.0,669.0,118.0,445.0,1541.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,27,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,4999.0,5002.0,,,,,,,,2.0,180.0,,,,,,,,,,,,,,,,,,, +438,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,,312.0,73.0,742.0,58.0,168.0,1478.0,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,,,,,398.0,396.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2254.0,2254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +439,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-05-05 21:11:03.000000,2024-05-05 21:11:00,676.0,9.0,167.0,48.0,162.0,19.0,382.0,1334.0,moDel Agnostic Language for Exploration and eXplanation.,25.0,27,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,171.0,164.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,7.0,19070.0,19388.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,12734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +440,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,345.0,71.0,87.0,27.0,26.0,1227.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1424.0,1372.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,52.0,27602.0,27958.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +441,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-05-15 15:24:09.000000,2023-11-24 11:08:47,208.0,,84.0,34.0,110.0,7.0,18.0,1192.0,A library of reinforcement learning building blocks in JAX.,21.0,27,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],237.0,226.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,2628392.0,2628392.0,,,,,,,,2.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,, +442,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,,249.0,41.0,39.0,68.0,591.0,1145.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,696.0,667.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,29.0,45732.0,47134.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,64294.0,,,,,3.0,512.0,,,,,,,,,,,,,,,,,,, +443,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-05-15 20:15:42.000000,2024-05-03 23:42:39,1985.0,60.0,364.0,54.0,513.0,156.0,253.0,1121.0,Machine learning on FPGAs using HLS.,60.0,27,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1047.0,1218.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7539.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +444,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 10:51:56.000,2024-03-29 13:25:52.761000,2024-03-27 08:01:51,780.0,3.0,63.0,13.0,127.0,46.0,115.0,960.0,Visualize large time series data with plotly.py.,12.0,27,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1112.0,1090.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,22.0,442987.0,444421.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,40169.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,40.0,173.0,65.0,174.0,926.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],125.0,30.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,81.0,76899.0,85246.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,537009.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2754.0,,,,,,,,,,, +446,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 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,122.0,906.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1605.0,1583.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,22.0,89207.0,89207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +447,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-05-09 07:59:27.000000,2024-05-01 00:09:23,16580.0,11.0,367.0,44.0,1620.0,309.0,2961.0,864.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,22.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,2.0,656.0,711.0,,,,,,,,3.0,6868.0,,,,,,,,,,,,,,,,,,, +448,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-05-16 08:24:16.000000,2024-05-16 08:24:16,603.0,36.0,162.0,32.0,194.0,4.0,100.0,591.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,32.0,27,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],362.0,336.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,26.0,41618.0,41865.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,5698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +449,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-05-07 09:34:12.000000,2024-05-07 09:33:03,327.0,27.0,90.0,19.0,117.0,36.0,80.0,582.0,pyspark methods to enhance developer productivity.,28.0,27,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],84.0,77.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,768193.0,768193.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,, +450,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-04-24 18:16:33.000000,2023-08-23 17:20:54,1241.0,,154.0,19.0,717.0,26.0,208.0,478.0,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,,,,338.0,321.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,7885.0,9123.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,75578.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1203.0,184.0,213.0,25.0,534.0,8870.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,252.0,,,,,,,,3.0,10119.0,,,,,,,,,,,,,,,,,,, +452,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,595.0,140.0,31.0,70.0,55.0,5547.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1683.0,1630.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,53.0,1707453.0,1707859.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-22 00:24:33.000000,2024-03-22 00:17:00,218.0,3.0,295.0,71.0,179.0,24.0,54.0,4906.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,119.0,115.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2414.0,2414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,95.0,48.0,32.0,3486.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,85.0,76.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,9.0,20318.0,20775.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,30190.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,392.0,161.0,84.0,102.0,101.0,3196.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],23.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,23.0,94859.0,94859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1020.0,167.0,215.0,43.0,146.0,3108.0,Performance analysis of predictive (alpha) stock factors.,26.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,692.0,687.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1508.0,1784.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20729.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-19 19:20:10.000000,2024-03-18 19:51:35,2374.0,14.0,687.0,159.0,61.0,7.0,754.0,3089.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,26,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,910.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,64586.0,,,,,3.0,4713.0,,,,,,,,,,,,,,,,,,, +458,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,217.0,3649.0,429.0,1111.0,3009.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1616.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,131834.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1508.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +459,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,,264.0,52.0,19.0,36.0,97.0,2842.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2241.0,2212.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,29.0,69055.0,69799.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,29031.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,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,,329.0,67.0,167.0,164.0,113.0,2728.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,57.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,57.0,382332.0,384132.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,151276.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,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 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,1.0,696.0,179.0,75.0,21.0,565.0,2695.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,40.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,40.0,30885.0,31578.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,40249.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,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,,217.0,66.0,42.0,16.0,24.0,2683.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,979.0,974.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,65868.0,66134.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14679.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,443.0,126.0,143.0,192.0,247.0,2609.0,PYthon svg GrAph plotting Library.,77.0,26,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,96.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,96.0,310151.0,312679.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,40461.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +464,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,,719.0,167.0,94.0,136.0,358.0,2460.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,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 16:46:28.000,2.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-04-10 16:58:39.000000,2024-01-30 18:07:43,695.0,,231.0,35.0,147.0,17.0,144.0,2307.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,183.0,179.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,4.0,16923.0,16929.0,,,,,,,,3.0,306.0,,,,,,,,,,,,,,,,,,, +466,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,329.0,77.0,55.0,161.0,68.0,2268.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1300.0,1251.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,57777.0,57777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +467,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 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,3.0,236.0,64.0,31.0,60.0,95.0,2234.0,Fast and Easy Infinite Neural Networks in Python.,29.0,26,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,102.0,101.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2927.0,2935.0,,,,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +468,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,1.0,285.0,56.0,14.0,22.0,79.0,2208.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,554.0,549.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,5.0,14643.0,15733.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,88349.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +469,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-05-15 17:39:21.000000,2023-06-01 12:18:23,739.0,,314.0,42.0,44.0,99.0,56.0,2147.0,A modular active learning framework for Python.,20.0,26,True,2024-05-15 17:39:21.000,0.62.170,953.0,modAL,,,,['sklearn'],27.0,,https://pypi.org/project/modAL,2024-05-15 17:39:21.000,27.0,285876.0,285876.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,, +470,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-02-21 23:17:37.000000,2024-02-21 23:13:33,479.0,8.0,335.0,63.0,153.0,7.0,92.0,2107.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,660.0,643.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,42712.0,42712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-05-13 22:13:39.000000,2024-05-13 22:13:34,870.0,8.0,446.0,59.0,333.0,113.0,92.0,1879.0,Library for training machine learning models with privacy for training data.,59.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,20633.0,20635.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,, +472,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1808.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,56.0,55.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,20983.0,20983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1808.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,56.0,55.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,20983.0,21225.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,6783.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,276.0,40.0,495.0,172.0,151.0,1755.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,174.0,166.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,35411.0,35417.0,,,,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,, +475,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,160.0,25.0,81.0,43.0,35.0,1713.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,615.0,596.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,123002.0,123759.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,23497.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-05-15 17:39:12.000000,2024-05-15 17:28:54,928.0,113.0,259.0,46.0,764.0,59.0,65.0,1630.0,A lightweight library for PyTorch training tools and utilities.,127.0,26,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 23:16:03.000,38.0,6892.0,6892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,56.0,155.0,1560.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],56.0,55.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1349.0,1349.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +478,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-05-10 13:50:09.000000,2024-05-10 13:50:09,1034.0,3.0,176.0,17.0,70.0,30.0,341.0,1480.0,PyTorch Extension Library of Optimized Scatter Operations.,30.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],128.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,128.0,37510.0,43428.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,278169.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +479,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-04-30 13:26:27.000000,2023-06-07 07:35:59,3033.0,,119.0,36.0,337.0,11.0,187.0,1431.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,321.0,299.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,22.0,45172.0,45172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,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 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,231.0,46.0,184.0,53.0,120.0,1378.0,Metric learning algorithms in Python.,22.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],382.0,375.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,16497.0,16747.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11532.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-05-08 07:55:00.000000,2024-05-08 07:54:56,689.0,5.0,155.0,22.0,125.0,4.0,128.0,1373.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,836.0,793.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,43.0,28671.0,34186.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,248202.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,270.0,76.0,481.0,49.0,198.0,1320.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,1037.0,1026.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,11.0,15945.0,16019.0,,,,,,,,3.0,6295.0,,,,,,,,,,,,,,,,,,, +483,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,197.0,43.0,257.0,66.0,212.0,1245.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,448.0,421.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,1869.0,1869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,174.0,26.0,36.0,1.0,116.0,1238.0,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'],1610.0,1589.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,54902.0,54902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +485,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,,144.0,35.0,214.0,117.0,152.0,1222.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,518.0,463.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,55.0,30035.0,40707.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,853830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +486,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-04-16 18:02:40.000000,2024-04-16 18:02:40,396.0,2.0,177.0,26.0,32.0,4.0,129.0,1197.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,26,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],543.0,529.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,14.0,99591.0,99930.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,18313.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,,112.0,21.0,103.0,43.0,74.0,1132.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,26,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2646.0,2607.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,39.0,296194.0,296992.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,35925.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +488,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-05-16 02:24:18.000000,2024-05-16 02:24:17,2367.0,262.0,88.0,19.0,910.0,85.0,212.0,1083.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,26,False,2024-03-02 00:18:17.000,0.205.0,84.0,metricflow,,,,,26.0,23.0,https://pypi.org/project/metricflow,2024-04-04 05:32:07.000,3.0,20090.0,20090.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,, +489,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-05-13 13:12:24.000000,2024-05-02 01:45:39,808.0,10.0,116.0,31.0,412.0,71.0,324.0,1019.0,BAyesian Model-Building Interface (Bambi) in Python.,37.0,26,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,129.0,119.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,10.0,22051.0,22798.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,30666.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-05-12 11:54:30.000000,2024-05-12 11:54:13,549.0,89.0,101.0,24.0,98.0,15.0,106.0,667.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,26,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,103.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,103.0,28533.0,28533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-05-15 16:08:44.000000,2024-05-13 16:47:27,911.0,22.0,106.0,43.0,113.0,56.0,46.0,636.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,161.0,154.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,33913.0,33913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,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 21:02:09.000,2024-04-26 20:02:09.000000,2024-04-26 20:02:08,844.0,8.0,133.0,29.0,89.0,40.0,75.0,601.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-04-23 05:17:11.000,1.15.0,43.0,ml-metadata,,,,,480.0,449.0,https://pypi.org/project/ml-metadata,2024-04-23 05:17:11.000,31.0,80770.0,80805.0,,,,,,,,3.0,2208.0,,,,,,,,,,,,,,,,,,, +493,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 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,214.0,22.0,17.0,46.0,23.0,425.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7704.0,7574.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,130.0,217240.0,218058.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40114.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +494,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-05-15 17:14:00.000000,2024-05-15 16:50:06,2745.0,206.0,59.0,8.0,256.0,40.0,90.0,257.0,Python recommendation toolkit.,14.0,26,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,108.0,102.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,2331.0,2968.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,26778.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-05-16 01:29:54.000000,2024-05-16 01:29:48,1619.0,1.0,808.0,146.0,1564.0,114.0,125.0,7964.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,155.0,154.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4027.0,4027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,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,,800.0,168.0,1588.0,145.0,74.0,6348.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,161.0,166.0,,,,,,,,3.0,358.0,,,,,,,,,,,,,,,,,,, +497,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,968.0,182.0,327.0,338.0,292.0,5783.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,126.0,126.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,356.0,404.0,,,,,,,,2.0,3745.0,,,,,,,,,,,,,,,,,,, +498,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-04-26 02:38:27.000000,2023-11-19 13:26:15,334.0,,954.0,45.0,34.0,65.0,112.0,4982.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],205.0,196.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3439.0,3439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-04-27 19:15:19.000000,2023-04-28 16:55:30,521.0,,444.0,62.0,93.0,36.0,88.0,4972.0,Finding duplicate images made easy!.,15.0,25,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],116.0,111.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,19185.0,19185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-05-16 14:46:30.000000,2024-05-16 14:46:30,3559.0,111.0,603.0,93.0,3913.0,211.0,1375.0,4931.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,91.0,25,True,2024-05-07 16:55:22.000,1.37.1,78.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,239.0,215.0,51.0,200.0,4396.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,55.0,54.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,847.0,939.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3425.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,430.0,42.0,52.0,88.0,174.0,4174.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,125.0,122.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,1114.0,1114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,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,,512.0,135.0,649.0,65.0,198.0,3867.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,3104.0,3104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-05-11 02:56:33.000000,2024-04-30 02:48:23,2762.0,56.0,1206.0,135.0,1070.0,52.0,75.0,3312.0,a distributed deep learning platform.,90.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,68.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,744.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,6557.0,3.0,,,,,,,,,,,,,,,,,,,, +505,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-04-19 22:27:39.000000,2024-03-08 19:28:28,465.0,3.0,271.0,50.0,458.0,59.0,256.0,3303.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,5552.0,6606.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,39699.0,,,,,2.0,496.0,,,,,,,,,,,,,,,,,,, +506,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-04-22 17:11:22.000000,2024-03-30 09:25:51,4343.0,19.0,582.0,40.0,1002.0,251.0,692.0,3199.0,"A unified, comprehensive and efficient recommendation library.",71.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,4176.0,4289.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4780.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-05-07 06:18:57.000000,2024-05-07 06:18:34,512.0,4.0,811.0,62.0,638.0,133.0,399.0,3198.0,A high-performance distributed training framework for Reinforcement Learning.,44.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],125.0,124.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,920.0,920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,29.0,2015.0,3.0,652.0,3015.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,10572.0,10663.0,,,,,,,,3.0,2644.0,,,,,,,,,,,,,,,,,,, +509,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,,663.0,73.0,25.0,117.0,101.0,2977.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2921.0,2920.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1810.0,1810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,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,,471.0,97.0,49.0,59.0,253.0,2815.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,721.0,700.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,3441.0,3759.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15632.0,,,,,3.0,987.0,,,,,,,,,,,,,,,,,,, +511,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-04-22 23:07:16.000000,2023-06-30 21:16:10,470.0,,322.0,64.0,317.0,47.0,124.0,2785.0,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'],55.0,54.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,2151.0,2474.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,15227.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-05-09 16:39:09.000000,2024-05-06 14:20:38,944.0,6.0,173.0,20.0,78.0,94.0,174.0,2751.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,25,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,45.0,44.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1920.0,1920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,228.0,50.0,481.0,45.0,70.0,2719.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,225.0,222.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,21192.0,21193.0,,,,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +514,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 01:11:33.000,2024-04-15 21:12:13.000000,2023-07-01 21:40:58,1936.0,,347.0,40.0,89.0,28.0,158.0,2504.0,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'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,2112.0,2112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +515,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,466.0,38.0,239.0,52.0,281.0,2494.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,34109.0,34335.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +516,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-05-07 23:16:28.000000,2024-02-10 10:17:50,226.0,,252.0,48.0,94.0,20.0,115.0,2155.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",116.0,112.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2618.0,2618.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,, +517,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,,85.0,41.0,47.0,14.0,75.0,2098.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,62.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,62.0,43179.0,43179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,12.0,236.0,38.0,38.0,13.0,114.0,2091.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,25,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,240.0,234.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,4255.0,4755.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,23037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +519,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,241.0,71.0,21.0,93.0,66.0,2091.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,271.0,267.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,73986.0,73986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,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,,302.0,57.0,1313.0,233.0,810.0,1819.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],106.0,102.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +521,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-03-24 14:27:59.853000,2022-12-07 10:32:49,237.0,,293.0,1.0,1.0,1.0,,1703.0,Feature engineering package with sklearn like functionality.,38.0,25,False,2024-03-24 13:29:41.000,1.7.0,39.0,feature_engine,conda-forge/feature_engine,,,,147.0,,https://pypi.org/project/feature_engine,2024-03-24 13:29:41.000,147.0,135364.0,136420.0,https://anaconda.org/conda-forge/feature_engine,2024-03-24 14:27:59.853,47550.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,49.0,49.0,23.0,91.0,1600.0,Contextually-keyed word vectors.,19.0,25,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,380.0,367.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2730.0,4731.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,37666.0,,,,,3.0,65296.0,,,,,,,,,,,,,,,,,,, +523,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,,205.0,44.0,12.0,4.0,51.0,1564.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],233.0,231.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,206026.0,206026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +524,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,268.0,49.0,87.0,22.0,191.0,1542.0,"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'],580.0,563.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,17.0,6419.0,6564.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,,579.0,108.0,283.0,19.0,300.0,1511.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,25,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,162.0,160.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,7636.0,7688.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4489.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-05-11 00:44:31.000000,2024-05-11 00:41:32,352.0,10.0,269.0,42.0,254.0,77.0,195.0,1466.0,A framework for Privacy Preserving Machine Learning.,35.0,25,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],37.0,36.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,323.0,323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,,330.0,50.0,43.0,96.0,,1336.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],476.0,468.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,41096.0,68612.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,313.0,,,,,3.0,1210433.0,,,,,,,,,,,,,,,,,,, +528,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,,142.0,28.0,63.0,7.0,70.0,1290.0,"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'],1463.0,1450.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13572.0,13572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +529,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,296.0,55.0,63.0,16.0,109.0,1241.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1055.0,1044.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,10801.0,10801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-05-16 13:45:13.000000,2024-05-16 13:11:43,2072.0,1.0,215.0,41.0,593.0,85.0,433.0,1016.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2024-05-16 13:20:06.000,2.1.0,47.0,smac,conda-forge/smac,,,,33.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,33.0,55419.0,55933.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,19554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +531,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 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,48.0,61.0,1.0,68.0,976.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],449.0,446.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,17159.0,17159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,367.0,960.0,Search and download Copernicus Sentinel satellite images.,44.0,25,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,585.0,554.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,31.0,22398.0,23082.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,29336.0,,,,,3.0,269.0,,,,,,,,,,,,,,,,,,, +533,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,,256.0,43.0,72.0,103.0,188.0,918.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,547.0,510.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5836.0,5836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +534,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,76.0,13.0,48.0,22.0,53.0,733.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1984.0,1955.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,577434.0,577611.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5487.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,,103.0,15.0,193.0,117.0,136.0,666.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,617.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,617.0,3141715.0,3141865.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,18460.0,,,,,,,,,,,,,,,,,,, +536,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-04-28 16:46:16.622000,2024-04-28 11:15:50,477.0,6.0,50.0,8.0,59.0,173.0,237.0,590.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,786.0,713.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,73.0,42801.0,44711.0,https://anaconda.org/conda-forge/pyvips,2024-04-28 16:46:16.622,82153.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,24.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],43.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,589.0,1055.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,13982.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +538,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-04-10 07:37:43.190000,2022-01-15 18:08:37,1718.0,,67.0,15.0,13.0,35.0,7.0,536.0,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,,,,225.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,225.0,475318.0,482249.0,https://anaconda.org/conda-forge/whoosh,2024-04-10 07:37:43.190,249523.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-05-15 13:37:20.000000,2024-05-15 12:32:23,5658.0,65.0,91.0,15.0,756.0,16.0,438.0,428.0,Lightwood is Legos for Machine Learning.,46.0,25,False,2024-05-15 13:29:47.000,24.5.2.0,204.0,lightwood,,,,['pytorch'],62.0,60.0,https://pypi.org/project/lightwood,2024-05-15 13:37:20.000,2.0,7987.0,7987.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +540,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,,85.0,13.0,31.0,7.0,49.0,369.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,439.0,397.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,42.0,135197.0,136798.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,70451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,11.0,39.0,5.0,15.0,6.0,48.0,323.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,25,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],739.0,693.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,46.0,82536.0,104142.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,929089.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +542,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-05-11 10:51:24.000000,2024-05-11 10:51:24,547.0,21.0,56.0,40.0,298.0,20.0,60.0,299.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,False,2024-04-23 07:31:20.000,1.3.0,77.0,gokart,,,,,82.0,77.0,https://pypi.org/project/gokart,2024-04-23 07:31:20.000,5.0,3207.0,3207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,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,,749.0,136.0,43.0,141.0,98.0,4944.0,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'],1129.0,1113.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,711.0,723.0,,,,,,,,3.0,910.0,,,,,,,,,,,,,,,,,,, +544,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,1004.0,92.0,63.0,255.0,269.0,4622.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,26794.0,26794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,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 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,101.0,35.0,107.0,113.0,4518.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],129.0,124.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5079.0,5082.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,235.0,3.0,,,,,,,,,,,,,,,,,,,, +546,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,,722.0,62.0,247.0,129.0,824.0,4053.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,6182.0,6182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,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,,917.0,177.0,385.0,33.0,430.0,3817.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,2.0,443.0,89.0,78.0,67.0,137.0,3353.0,Generate embeddings from large-scale graph-structured data.,32.0,24,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,605433.0,605435.0,,,,,,,,2.0,180.0,,,,,,,,,,,,,,,,,,, +549,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,117.0,3079.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,142.0,130.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,930.0,991.0,,,,,,,,3.0,4581.0,,,,,,,,,,,,,,,,,,, +550,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,1.0,362.0,91.0,548.0,144.0,92.0,2741.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,40497.0,40497.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,137.0,28.0,200.0,20.0,73.0,2704.0,HiPlot makes understanding high dimensional data easy.,9.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,429.0,403.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,20604.0,24211.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,183977.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,317.0,92.0,2157.0,206.0,982.0,2675.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,19815.0,19815.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,336.0,31.0,695.0,43.0,151.0,2520.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,97.0,93.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,589.0,589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,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,,645.0,89.0,29.0,25.0,52.0,2334.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,648.0,596.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,52.0,33560.0,33560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,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,,253.0,56.0,56.0,19.0,50.0,2202.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],698.0,679.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,7263.0,7263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-04-05 08:29:34.000000,2024-04-04 10:48:55,541.0,9.0,211.0,42.0,128.0,61.0,127.0,2190.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,28.0,24,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,7357.0,7357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,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,,669.0,82.0,48.0,24.0,64.0,2055.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,514.0,502.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,8274.0,8274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,1987.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],347.0,339.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1370.0,1546.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,7072.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,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 13:50:19.000,2024-05-13 12:34:46.000000,2023-12-04 14:09:45,571.0,,134.0,56.0,452.0,68.0,102.0,1843.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,111.0,101.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,4411.0,4411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,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,,311.0,98.0,45.0,187.0,216.0,1638.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,11.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,1321.0,1321.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,, +561,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,,121.0,28.0,31.0,63.0,50.0,1572.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],449.0,442.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,130235.0,130235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,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,,403.0,91.0,165.0,103.0,224.0,1354.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,35.0,68.0,57.0,206.0,1228.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,24,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],128.0,126.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,848.0,852.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,, +564,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 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,205.0,54.0,460.0,143.0,293.0,1193.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],75.0,66.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,803.0,803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-05-05 07:26:14.000000,2024-05-05 07:26:07,87.0,9.0,227.0,20.0,20.0,5.0,87.0,1181.0,Implementation of the node2vec algorithm.,15.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,641.0,614.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,27.0,26690.0,27078.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +566,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,,223.0,72.0,415.0,75.0,147.0,1155.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,171.0,166.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,679.0,679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,114.0,12.0,23.0,18.0,15.0,1079.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,5637.0,5229.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,408.0,427495.0,427495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,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 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,174.0,48.0,112.0,53.0,170.0,970.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,317.0,294.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,975.0,975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-04-29 15:05:23.000000,2024-04-29 15:05:22,732.0,3.0,145.0,16.0,105.0,30.0,240.0,959.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],103.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,103.0,25810.0,31760.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,279680.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,109.0,26.0,36.0,34.0,69.0,878.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],617.0,605.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,23400.0,23400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-05-14 15:59:42.000000,2024-05-14 09:36:49,344.0,15.0,134.0,19.0,80.0,3.0,66.0,865.0,An intuitive library to extract features from time series.,20.0,24,True,2024-03-27 17:12:39.000,0.1.7,11.0,tsfel,,,,,128.0,125.0,https://pypi.org/project/tsfel,2024-03-27 16:06:38.000,3.0,21650.0,21650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-05-16 09:24:43.000000,2024-05-16 09:24:42,249.0,4.0,109.0,15.0,44.0,35.0,27.0,849.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,606.0,591.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,29446.0,40863.0,,,,,,,,3.0,479538.0,,,,,,,,,,,,,,,,,,, +573,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,,157.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,174.0,170.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,5103.0,5103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,700.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,198.0,169.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,29.0,38190.0,39024.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,80937.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +575,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,,136.0,132.0,91.0,42.0,67.0,653.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],204.0,194.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,10.0,14945.0,14945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-05-03 16:06:47.000000,2024-05-03 12:15:14,872.0,16.0,83.0,10.0,735.0,92.0,438.0,609.0,Automated modeling and machine learning framework FEDOT.,33.0,24,True,2024-05-03 16:06:47.000,0.7.3.2,22.0,fedot,,,,,50.0,45.0,https://pypi.org/project/fedot,2024-05-03 15:56:33.000,5.0,1112.0,1112.0,,,,,,,,3.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,, +577,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-04-09 13:42:05.705000,2024-04-03 15:41:01,407.0,9.0,134.0,20.0,46.0,3.0,84.0,548.0,Medical image processing in Python.,20.0,24,False,2024-04-03 15:53:56.000,0.5.1,9.0,MedPy,conda-forge/medpy,,,,1957.0,1909.0,https://pypi.org/project/MedPy,2024-04-03 15:53:56.000,48.0,19110.0,19905.0,https://anaconda.org/conda-forge/medpy,2024-04-09 13:42:05.705,27847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,508.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4540.0,4441.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,99.0,2708075.0,2717553.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,900484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-05-12 10:24:37.000000,2023-02-15 20:15:59,196.0,,545.0,82.0,38.0,59.0,26.0,10858.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,23,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,48.0,48.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,835.0,923.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2467.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,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,,606.0,145.0,1362.0,118.0,986.0,7991.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1248.0,1248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1379.0,261.0,69.0,115.0,136.0,6325.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,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 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,,739.0,104.0,588.0,107.0,345.0,5926.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,39880.0,39880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,1.0,924.0,114.0,675.0,146.0,542.0,5419.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,117.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-16 12:04:00.000000,2024-05-15 16:01:03,1602.0,43.0,815.0,146.0,1515.0,348.0,399.0,4981.0,Simple and Distributed Machine Learning.,118.0,23,True,2024-04-10 19:16:17.000,1.0.4-spark3.5,48.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,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 03:11:32.000,2024-03-28 17:33:46.000000,2023-01-15 11:37:16,279.0,,933.0,111.0,101.0,148.0,351.0,4891.0,Backtest trading strategies in Python.,19.0,23,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,4.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,4.0,14066.0,14066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-05-14 07:28:25.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,230.0,111.0,57.0,620.0,4882.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,21.0,,,,,,,,3.0,1506.0,,,,,,,,,,,,,,,,,,, +587,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4306.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,184.0,184.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-05-15 07:21:55.000000,2024-05-15 07:15:09,1598.0,7.0,514.0,150.0,609.0,86.0,75.0,3525.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,23,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,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,532.0,173.0,50.0,67.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],60.0,58.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,223.0,54.0,36.0,74.0,123.0,3135.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],381.0,376.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3396.0,3948.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,22085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,237.0,42.0,110.0,80.0,64.0,2868.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,8752.0,8754.0,,,,,,,,3.0,122.0,,,,,,,,,,,,,,,,,,, +592,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,,413.0,131.0,136.0,60.0,128.0,2397.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2244.0,2405.0,,,,,,,,3.0,12783.0,,,,,,,,,,,,,,,,,,, +593,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,439.0,64.0,122.0,32.0,350.0,2378.0,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'],65.0,63.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,299.0,66.0,78.0,64.0,68.0,2099.0,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'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1463.0,1463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,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,,243.0,44.0,33.0,51.0,90.0,1940.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],172.0,172.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3520.0,3520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,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 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1854.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],471.0,449.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2418.0,3361.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,34906.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1728.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1832.0,1923.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3367.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,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,,116.0,38.0,11.0,33.0,51.0,1611.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,355.0,346.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1436.0,1436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,302.0,56.0,115.0,54.0,30.0,1542.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,89.0,88.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,866.0,866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-05-06 14:21:43.000000,2023-11-08 21:41:55,157.0,,163.0,104.0,186.0,35.0,25.0,1497.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,722.0,722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,86.0,41.0,15.0,9.0,27.0,1325.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],191.0,172.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,19.0,10986.0,11137.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4689.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,, +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,,161.0,33.0,22.0,42.0,34.0,1273.0,"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'],61.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-05-15 00:02:07.000000,2024-04-10 03:25:54,547.0,11.0,127.0,21.0,270.0,13.0,131.0,1229.0,A standard framework for modelling Deep Learning Models for tabular data.,21.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,2784.0,2784.0,,,,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,, +604,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-05-16 12:38:16.000000,2023-10-17 15:42:30,833.0,,326.0,51.0,794.0,10.0,300.0,1207.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,23,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1671.0,1671.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +605,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-05-07 04:53:40.000000,2024-04-29 07:05:47,431.0,5.0,150.0,92.0,122.0,33.0,45.0,1149.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,110.0,109.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,346.0,346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,,184.0,34.0,73.0,3.0,86.0,1037.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],223.0,214.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4412.0,4412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,84.0,26.0,55.0,36.0,28.0,944.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,694.0,671.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,44103.0,45510.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,45050.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +608,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,914.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2403.0,2394.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1254.0,1254.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +609,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 20:26:10.000,2024-03-14 21:28:06.000000,2024-02-01 21:38:56,330.0,,162.0,29.0,111.0,86.0,56.0,887.0,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,5290.0,52943.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2181417.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,1240.0,,,,,,,,,,, +610,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,,84.0,14.0,77.0,220.0,218.0,859.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,96.0,96.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1618.0,1618.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +611,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-05-13 23:58:05.000000,2024-05-13 15:22:51,225.0,3.0,83.0,18.0,155.0,28.0,85.0,837.0,Bayesian active learning library for research and industrial usecases.,21.0,23,True,2024-04-04 17:31:05.000,1.9.2,20.0,baal,conda-forge/baal,,,,57.0,56.0,https://pypi.org/project/baal,2024-04-04 17:29:59.000,1.0,4517.0,4722.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,8211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-04-17 06:08:55.000000,2024-04-17 06:07:52,292.0,7.0,249.0,46.0,18.0,9.0,91.0,827.0,Data compression in TensorFlow.,21.0,23,True,2024-03-27 19:52:35.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,14879.0,14879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-04-29 13:46:08.000000,2024-04-29 13:46:08,600.0,4.0,135.0,15.0,59.0,27.0,128.0,765.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],51.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,51.0,13617.0,15794.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,104526.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,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,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],22.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,7546.0,12106.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,315664.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,803.0,,,,,,,,,,, +615,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-05-16 11:08:41.000000,2024-05-14 10:29:23,1196.0,47.0,123.0,30.0,1003.0,37.0,50.0,757.0,Machine learning framework for both deep learning and traditional algorithms.,37.0,23,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,89.0,21.0,9.0,25.0,41.0,672.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],440.0,430.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,41260.0,41289.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2919.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,3.0,85.0,7.0,20.0,,91.0,552.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,23,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,69.0,67.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,8280.0,8280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-05-12 11:40:34.000000,2024-05-08 22:27:13,975.0,12.0,178.0,24.0,845.0,119.0,388.0,549.0,MONAI Label is an intelligent open source image labeling and learning tool.,59.0,23,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1074.0,3492.0,,,,,,,,3.0,82239.0,,,,,,,,,,,,,,,,,,, +619,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-05-11 10:46:51.000000,2024-05-11 10:43:02,331.0,11.0,99.0,26.0,7.0,1.0,33.0,497.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,23,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,28.0,25.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,2457.0,2457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-05-06 13:22:25.000000,2024-05-06 13:22:25,6709.0,1.0,144.0,36.0,395.0,37.0,136.0,373.0,Neuroimaging in Python FMRI analysis package.,69.0,23,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,245.0,224.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,21.0,2168.0,3492.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,108576.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,83.0,29.0,318.0,75.0,27.0,368.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,23,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],400.0,393.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,50252.0,50252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,281.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,111.0,103.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,2164.0,2164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-05-12 00:09:57.000000,2024-04-22 13:58:48,483.0,63.0,105.0,19.0,510.0,58.0,124.0,259.0,An open-source toolkit for large-scale genomic analysis.,27.0,23,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,37667.0,37771.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,4076.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +624,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 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2245.0,2201.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,100263.0,100263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-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,,780.0,223.0,25.0,8.0,122.0,5327.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,1153.0,1153.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,, +626,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,,1703.0,19.0,17.0,70.0,24.0,5007.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,28.0,28.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2725.0,2725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1228.0,306.0,209.0,64.0,211.0,4737.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1792.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143395.0,3.0,,,,,,,,,,,,,,,,,,,, +628,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,,658.0,158.0,130.0,83.0,101.0,4615.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,547.0,547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +629,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,,321.0,74.0,37.0,95.0,75.0,4379.0,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,,641.0,641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,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,,810.0,328.0,89.0,91.0,306.0,3870.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,120.0,143.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1890.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +631,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,,675.0,74.0,53.0,179.0,101.0,3383.0,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'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,3290.0,3299.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,, +632,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-04-01 21:52:31.000000,2024-04-01 21:52:26,686.0,2.0,497.0,215.0,16.0,24.0,4.0,3362.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-01-01 21:29:17.000,0.11.13,14.0,finmarketpy,,,,,13.0,13.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,274.0,274.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +633,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,2.0,328.0,53.0,414.0,82.0,106.0,3233.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],40.0,39.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-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,,386.0,207.0,9.0,4.0,16.0,3141.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],148.0,146.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1478.0,1478.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,, +635,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-05-06 16:34:46.000000,2021-05-06 12:10:38,127.0,,156.0,48.0,66.0,2.0,30.0,3021.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,49.0,49.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,444.0,497.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1489.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-05-07 08:59:07.000000,2024-04-08 05:25:46,3457.0,3.0,727.0,7.0,5.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,512.0,512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,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,,381.0,78.0,144.0,36.0,126.0,2381.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,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,,367.0,86.0,4.0,4.0,18.0,2173.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,22,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,1527.0,1527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,,340.0,42.0,68.0,163.0,95.0,1846.0,Super easy library for BERT based NLP models.,36.0,22,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,,1509.0,1509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,,102.0,37.0,30.0,29.0,79.0,1791.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,30.0,30.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,11338.0,11338.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +641,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1772.0,"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']",278.0,267.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,4439.0,4439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,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,,213.0,38.0,111.0,56.0,42.0,1707.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],158.0,152.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,3196.0,5437.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,209563.0,,,,,3.0,422.0,,,,,,,,,,,,,,,,,,, +643,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 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,7.0,15.0,33.0,1642.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],57.0,51.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,3210.0,3210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,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,,290.0,44.0,801.0,71.0,485.0,1610.0,jiant is an nlp toolkit.,60.0,22,False,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,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,50.0,312.0,99.0,17.0,1560.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,45107.0,45107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,3.0,207.0,56.0,52.0,78.0,149.0,1539.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,809.0,840.0,,,,,,,,3.0,2794.0,,,,,,,,,,,,,,,,,,, +647,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-04-18 10:50:41.000000,2024-04-18 10:50:48,1196.0,6.0,116.0,26.0,68.0,4.0,29.0,1487.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,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 19:59:57.000,7.0,7894.0,7894.0,,,,,,,,3.0,17.0,-2.0,,,,,,,,,,,,,,,,,, +648,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,181.0,31.0,86.0,16.0,32.0,1276.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,93.0,92.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,475.0,475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,188.0,27.0,57.0,22.0,36.0,1275.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],165.0,160.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,721.0,721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-05-13 01:48:48.000000,2024-05-13 01:47:40,189.0,5.0,109.0,37.0,25.0,17.0,116.0,1195.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2024-05-13 01:50:26.000,2.2.2,82.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,6227.0,6227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,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,,215.0,66.0,29.0,31.0,12.0,1159.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,79.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,9261.0,9261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,121.0,62.0,97.0,1014.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],14.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,14.0,1461.0,1996.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,43392.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,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,,110.0,52.0,98.0,41.0,51.0,1009.0,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'],240.0,229.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3425.0,3425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,18.0,73.0,18.0,44.0,962.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,181.0,177.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,10638.0,10638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,2.0,193.0,24.0,58.0,12.0,27.0,933.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],92.0,84.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,5530.0,5530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,135.0,24.0,594.0,63.0,511.0,840.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3351.0,3351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,103.0,29.0,60.0,22.0,74.0,836.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,419.0,418.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2168.0,2168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,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,,75.0,26.0,37.0,27.0,21.0,735.0,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,,,,,33.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,33.0,60822.0,60822.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,, +659,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,,81.0,21.0,12.0,,38.0,685.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,440.0,435.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,16454.0,16508.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-05-06 14:08:02.000000,2023-09-19 18:44:18,355.0,,118.0,18.0,79.0,24.0,34.0,685.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],269.0,246.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,57703.0,59409.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,151901.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,, +661,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,633.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],91.0,87.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,783.0,783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,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,,111.0,26.0,23.0,57.0,35.0,604.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,451.0,428.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,23.0,8898.0,9358.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18889.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,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 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,129.0,22.0,19.0,8.0,30.0,588.0,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'],159.0,154.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,11534.0,11534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,57.0,10.0,21.0,14.0,37.0,543.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,392.0,383.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14486.0,14897.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,25529.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-05-13 23:44:56.000000,2024-03-19 15:52:03,1216.0,2.0,65.0,7.0,209.0,18.0,109.0,508.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],257.0,252.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2938.0,2938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-05-05 16:01:33.000000,2024-05-05 16:01:32,1771.0,65.0,68.0,7.0,216.0,47.0,81.0,506.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,27.0,26.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1050.0,1055.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,, +667,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 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,5.0,105.0,13.0,130.0,18.0,138.0,473.0,A Python library for dynamic classifier and ensemble selection.,17.0,22,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],50.0,47.0,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1309.0,1309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +668,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 10:59:08.000,2024-04-14 12:59:12.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,71.0,173.0,471.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,77.0,75.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1552.0,1555.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,, +669,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,381.0,Studio: Simplify and expedite model building process.,24.0,22,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,,1323.0,1323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,48.0,17.0,2.0,11.0,3.0,373.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,520.0,512.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,13897.0,13897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-04-27 16:26:42.000000,2024-04-27 16:26:42,258.0,7.0,27.0,9.0,5.0,22.0,60.0,314.0,Multiple Imputation with LightGBM in Python.,8.0,22,True,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,140.0,135.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,38326.0,38695.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,12550.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +672,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,4.0,12.0,231.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1134.0,1078.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,56.0,103482.0,104895.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,60787.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-05-09 19:10:29.000000,2020-04-18 19:15:25,24.0,,1131.0,141.0,45.0,39.0,10.0,8444.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,21,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],51.0,48.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,977.0,977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,645.0,94.0,150.0,98.0,103.0,8362.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,722.0,722.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,, +675,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1170.0,95.0,48.0,391.0,284.0,6301.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,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 16:09:50.000,2024-03-12 17:57:31.000000,2023-08-15 07:38:22,956.0,,542.0,166.0,46.0,37.0,28.0,4311.0,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 12:40:54.257,2.0,768.0,768.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,165.0,120.0,22.0,112.0,2930.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,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,2020-04-12 11:34:38.000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,73.0,2.0,18.0,7.0,2909.0,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'],202.0,199.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1366.0,1366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,61.0,106.0,27.0,56.0,2111.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],18.0,18.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1198.0,1198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,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,,251.0,53.0,35.0,16.0,105.0,2060.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,9834.0,9834.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,159.0,23.0,33.0,32.0,31.0,1917.0,"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'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,412.0,571.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4561.0,,,,,3.0,94.0,,,,,,,,,,,,,,,,,,, +682,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-04-22 13:05:03.000000,2024-02-04 20:37:53,1083.0,,272.0,31.0,40.0,27.0,176.0,1786.0,A library for graph deep learning research.,49.0,21,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,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,,197.0,30.0,423.0,11.0,163.0,1652.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,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,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,293.0,66.0,202.0,5.0,74.0,1585.0,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,2020-03-27 04:46:19.000,,27.0,245.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,, +685,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,,278.0,71.0,728.0,51.0,64.0,1583.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,False,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 05:15:00.935,4.0,608.0,987.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,19757.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,21.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,2424.0,2424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-05-08 15:24:36.000000,2024-02-25 11:49:35,1255.0,2.0,122.0,31.0,164.0,71.0,142.0,1503.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,21,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,185.0,196.0,,,,,,,,3.0,499.0,-2.0,,,,,,,,,,,,,,,,,, +688,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,,272.0,65.0,51.0,23.0,75.0,1477.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,444.0,444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,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,,405.0,102.0,36.0,13.0,24.0,1421.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,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,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,6.0,182.0,18.0,262.0,77.0,94.0,1280.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,53692.0,53692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,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,,220.0,63.0,48.0,36.0,90.0,1262.0,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'],34.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,204.0,28.0,61.0,52.0,61.0,1068.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,121.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,2.0,540.0,545.0,,,,,,,,3.0,608.0,,,,,,,,,,,,,,,,,,, +693,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,249.0,47.0,46.0,26.0,127.0,1057.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,53.0,86.0,64.0,206.0,1022.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,2129.0,2129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,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,,184.0,52.0,12.0,16.0,42.0,1005.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],83.0,79.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-05-01 04:05:18.000000,2024-04-25 03:40:02,286.0,108.0,51.0,11.0,59.0,5.0,19.0,904.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",14.0,21,True,2024-04-25 03:41:41.000,3.0.2,34.0,uform,,,,['pytorch'],7.0,6.0,https://pypi.org/project/uform,2024-04-25 03:41:41.000,1.0,1294.0,1311.0,,,,,,,,3.0,256.0,,,,,,,,,,,,,,,,,,, +697,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,,76.0,6.0,5.0,4.0,23.0,830.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],448.0,436.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,31944.0,31944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,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,,160.0,38.0,46.0,43.0,49.0,798.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,100.0,91.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,562.0,562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,26.0,162.0,51.0,62.0,761.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],57.0,53.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,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,,144.0,25.0,19.0,26.0,5.0,737.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],630.0,622.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,46127.0,46300.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,7473.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-05-14 06:37:14.000000,2024-03-27 18:40:09,1505.0,2.0,80.0,34.0,660.0,22.0,118.0,698.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,290.0,290.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,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,,106.0,30.0,1.0,13.0,3.0,633.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",640.0,623.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,19134.0,19134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,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,,54.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,201.0,193.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,15344.0,15344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,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,,57.0,19.0,216.0,49.0,313.0,597.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,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 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,95.0,26.0,32.0,35.0,6.0,591.0,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'],389.0,381.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,22489.0,22489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,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,,64.0,28.0,31.0,5.0,24.0,564.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1683.0,1683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,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 08:06:41.000,2024-05-12 12:31:35.000000,2023-12-29 21:08:41,477.0,,57.0,26.0,9.0,15.0,37.0,521.0,Active Learning for Text Classification in Python.,6.0,21,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",28.0,28.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,687.0,954.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,414.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,121.0,118.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4352.0,4352.0,,,,,,,,3.0,93.0,,,,,,,,,,,,,,,,,,, +709,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,,27.0,9.0,9.0,2.0,9.0,405.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],1377.0,1371.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,206765.0,206765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-05-01 02:15:11.000000,2024-05-01 02:14:09,660.0,2.0,65.0,30.0,457.0,22.0,91.0,370.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],18.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,14.0,16714.0,22906.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,588291.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-05-15 11:09:46.000000,2024-05-15 11:06:29,819.0,6.0,25.0,7.0,76.0,30.0,22.0,369.0,Flexible time series feature extraction & processing.,6.0,21,True,2024-04-04 10:31:07.000,0.4.0,37.0,tsflex,conda-forge/tsflex,,,,14.0,13.0,https://pypi.org/project/tsflex,2024-04-04 10:23:01.000,1.0,662.0,1289.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,21346.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,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,,49.0,11.0,37.0,29.0,37.0,349.0,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,,,,,247.0,231.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,4350.0,4350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-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,,33.0,18.0,6.0,19.0,21.0,306.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],98.0,97.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1562.0,1562.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,, +714,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-05-10 13:02:13.580000,2024-05-09 18:56:02,660.0,18.0,14.0,24.0,348.0,44.0,84.0,296.0,Serverside scaling for Vega and Altair visualizations.,4.0,21,False,2024-05-09 19:19:11.000,1.6.9,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1154.0,6181.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-10 13:02:13.580,119823.0,,,,,3.0,5113.0,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,237.0,,,,,,,,,,, +715,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-05-16 09:53:12.000000,2024-05-15 12:46:11,734.0,35.0,24.0,5.0,282.0,7.0,,290.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,21,False,2024-05-15 12:46:11.000,1.1.285,715.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,2024-05-16 09:53:12.000,,9187.0,9187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,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 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,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 22:20:14.000,2.0,434092.0,434092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2312.0,148.0,89.0,256.0,286.0,12918.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,85.0,180.0,108.0,161.0,3574.0,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,,69.0,91.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1333.0,3.0,,,,,,,,,,,,,,,,,,,, +719,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,99.0,16.0,53.0,17.0,3387.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,152.0,145.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,945.0,945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,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,,318.0,59.0,242.0,174.0,111.0,3108.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3803.0,3815.0,,,,,,,,3.0,677.0,,,,,,,,,,,,,,,,,,, +721,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,,169.0,65.0,54.0,6.0,44.0,3078.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,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,,394.0,394.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +722,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,268.0,31.0,22.0,27.0,37.0,3043.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1825.0,1825.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,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,,398.0,101.0,54.0,64.0,48.0,2917.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,2.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,2.0,1838.0,1838.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,, +724,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2826.0,"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,,,,,,,,,,,,,,,,,,,, +725,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,,827.0,85.0,30.0,45.0,80.0,2650.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,69.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,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,,454.0,127.0,225.0,87.0,183.0,2310.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,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 14:17:10.000,2.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,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,,178.0,55.0,895.0,129.0,586.0,1906.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-04-09 15:16:39.000000,2024-04-09 15:16:39,371.0,1.0,150.0,18.0,71.0,18.0,39.0,1697.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,17.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,798.0,798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,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,,157.0,46.0,3.0,13.0,15.0,1534.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],27.0,27.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2407.0,2407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,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,,356.0,61.0,47.0,37.0,72.0,1478.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,40.0,13.0,14.0,9.0,1268.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,144.0,142.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3192.0,3192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,142.0,25.0,76.0,49.0,36.0,1031.0,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,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,254694.0,254854.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,8019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,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,,169.0,56.0,14.0,30.0,19.0,1020.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,176.0,174.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,801.0,1036.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,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,,132.0,36.0,16.0,8.0,4.0,924.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3629.0,3624.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,684.0,684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,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,,130.0,18.0,24.0,28.0,39.0,825.0,python partial dependence plot toolbox.,7.0,20,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 16:21:17.000,26.0,23043.0,23394.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,20374.0,,,,,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 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,762.0,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'],44.0,44.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,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,,148.0,36.0,33.0,25.0,39.0,758.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,106.0,106.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,848.0,848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,78.0,98.0,51.0,43.0,751.0,[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 14:20:28.000,1.0,11134.0,11134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-04-28 01:04:18.000000,2024-04-25 13:16:31,491.0,1.0,110.0,33.0,558.0,206.0,246.0,690.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,5930.0,5930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,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 15:23:32.000,2024-05-05 11:51:57.000000,2024-05-05 11:51:05,300.0,5.0,108.0,17.0,25.0,1.0,87.0,675.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,20,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,8342.0,8342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-04-03 18:32:28.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,82.0,16.0,55.0,617.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],23.0,20.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,551.0,551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,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,,104.0,23.0,25.0,43.0,61.0,608.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],172.0,170.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1799.0,1910.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3889.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,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,,104.0,10.0,14.0,5.0,16.0,574.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,364.0,358.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,6.0,7408.0,7590.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11885.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,559.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,51.0,51.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,18882.0,18882.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,, +745,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,,166.0,56.0,20.0,39.0,60.0,544.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,29.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,533.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,100.0,98.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,328.0,328.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +747,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 21:00:31.000,2024-03-30 13:25:33.000000,2024-03-30 13:25:33,69.0,5.0,51.0,18.0,9.0,12.0,10.0,495.0,Topological Data Analysis for Python.,6.0,20,True,2024-03-17 19:09:40.000,1.1.0,5.0,scikit-tda,,,,['sklearn'],55.0,55.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3122.0,3122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-12-15 16:29:56.000000,2023-12-15 16:28:41,2274.0,,41.0,12.0,11.0,9.0,52.0,492.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,20,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,34.0,29.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,3726.0,3728.0,,,,,,,,3.0,139.0,,,,,,,,,,,,,,,,,,, +749,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,9.0,9.0,11.0,21.0,491.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,120.0,112.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6498.0,6498.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +750,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,487.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,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 10:32:00.587,2.0,12898.0,12901.0,,,,,,,,3.0,149.0,,,,,,,,,,,,,,,,,,, +751,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,107.0,20.0,57.0,26.0,21.0,485.0,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,,,,,69.0,61.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2389.0,2389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,,99.0,18.0,9.0,6.0,41.0,443.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,53.0,53.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,3067.0,3067.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,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,,83.0,20.0,247.0,10.0,23.0,401.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1553.0,1553.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +754,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-04-26 21:27:16.000000,2024-04-26 20:31:49,327.0,9.0,77.0,25.0,345.0,26.0,9.0,332.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,20,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1428.0,1428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-03-27 12:25:36.647000,2024-03-27 08:46:27,190.0,11.0,41.0,19.0,3.0,10.0,8.0,282.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,20,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],9.0,9.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,782.0,5001.0,https://anaconda.org/conda-forge/deepgraph,2024-03-27 12:25:36.647,181454.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-01-18 11:58:52.000000,2024-01-18 11:58:51,626.0,,67.0,28.0,31.0,30.0,113.0,263.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1879.0,3954.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,88532.0,,,,,3.0,1912.0,,,,,,,,,,,,,,,,,,, +757,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-05-02 05:10:26.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,182.0,21.0,64.0,241.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,42.0,40.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,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,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,428.0,426.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1155.0,1159.0,,,,,,,,3.0,380.0,,,,,,,,,,,,,,,,,,, +759,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,,192.0,61.0,7.0,13.0,29.0,1061.0,Python AutoML for Trading Systems and Sports Betting.,5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,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,,139.0,17.0,11.0,41.0,43.0,1058.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],132.0,127.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,4182.0,4182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,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,,143.0,14.0,24.0,58.0,69.0,849.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,99.0,98.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,410.0,410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,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,,227.0,30.0,38.0,41.0,21.0,839.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,3098.0,3098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,81.0,14.0,35.0,3.0,23.0,803.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,32.0,28.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,4037.0,4037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,69.0,23.0,47.0,16.0,17.0,792.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],24.0,19.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,5.0,599.0,1484.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,23896.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,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,,102.0,26.0,48.0,19.0,35.0,730.0,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,,,,,28.0,26.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,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,,75.0,39.0,17.0,13.0,22.0,564.0,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,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,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,,63.0,17.0,111.0,8.0,48.0,560.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],140.0,135.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,4548.0,4548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,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,,67.0,13.0,10.0,23.0,41.0,541.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,49.0,49.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1167.0,1167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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,,139.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,97.0,28.0,21.0,37.0,12.0,468.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,21891.0,21891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,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,,32.0,16.0,148.0,39.0,66.0,465.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",48.0,48.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,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,,70.0,24.0,48.0,15.0,19.0,400.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4518.0,4949.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32765.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,60.0,28.0,110.0,33.0,184.0,366.0,scalable audio processing framework and server written in Python.,22.0,19,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,,,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,257.0,257.0,,,,,,,,3.0,,-2.0,,yomguy/TimeSide,,,,,,,,,,,,,,,, +774,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-04-30 19:01:14.000000,2023-11-27 22:11:53,398.0,,129.0,34.0,323.0,81.0,130.0,324.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,131.0,149.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1825.0,3.0,,,,,,,,,,,,,,,,,,,, +775,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,,43.0,13.0,63.0,4.0,56.0,319.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,1549.0,1549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,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,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-05-16 14:57:50.000000,2023-12-04 13:11:50,418.0,,76.0,22.0,432.0,27.0,51.0,268.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,19,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,2.0,2.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-05-14 19:29:04.000000,2024-04-20 15:27:32,496.0,3.0,56.0,14.0,84.0,13.0,35.0,249.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,15696.0,15696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,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 15:02:43.000,2024-03-21 11:20:10.000000,2024-03-21 11:20:09,585.0,1.0,33.0,24.0,638.0,21.0,128.0,239.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,19,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,,1334.0,1354.0,,,,,,,,3.0,1020.0,,,,,,,,,,,,,,,,,,, +780,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,18.0,464.0,90.0,76.0,234.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],77.0,67.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4306.0,4306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,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,,23.0,8.0,11.0,5.0,9.0,211.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,81.0,79.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,25792.0,25792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-04-24 21:09:41.000000,2024-04-24 21:09:38,861.0,3.0,17.0,8.0,182.0,11.0,23.0,151.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,9102.0,9102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,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,,765.0,339.0,58.0,2.0,,6693.0,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,,116.0,123.0,,,,,,,,3.0,341.0,,,,,,,,,,,,,,,,,,, +784,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,,891.0,111.0,51.0,46.0,160.0,6231.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-05-16 15:35:41.000000,2024-05-07 20:36:57,691.0,33.0,401.0,39.0,835.0,149.0,115.0,3036.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,81.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,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,,412.0,106.0,83.0,67.0,48.0,2945.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,102.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,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,,461.0,79.0,36.0,83.0,68.0,1680.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,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,,71.0,26.0,1004.0,127.0,65.0,1641.0,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 21:51:16.000,1.0,599.0,599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,175.0,22.0,20.0,16.0,30.0,1611.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,5.0,5.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,125.0,125.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,, +790,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,,254.0,56.0,65.0,8.0,31.0,1368.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,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,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,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,,93.0,34.0,72.0,31.0,30.0,1096.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,9059.0,9059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,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,,156.0,44.0,5.0,4.0,7.0,1066.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,27.0,27.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,310.0,310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,176.0,18.0,42.0,22.0,59.0,891.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,177.0,174.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,456.0,646.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8568.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,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,,188.0,33.0,15.0,18.0,22.0,783.0,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 20:35:57.000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,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,,57.0,15.0,10.0,26.0,17.0,755.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,18,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,48.0,48.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,1907.0,1907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,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,,65.0,17.0,21.0,29.0,50.0,674.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,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,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,272.0,48015.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2100729.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,1.0,68.0,7.0,5.0,4.0,29.0,536.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,17.0,15.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1350.0,1350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,24.0,19.0,5.0,20.0,457.0,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,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,3.0,2919.0,2919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-05-07 15:16:56.000000,2024-01-10 08:10:55,2818.0,,63.0,11.0,255.0,9.0,109.0,427.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,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,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,72.0,7.0,15.0,19.0,423.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,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,,38.0,10.0,29.0,17.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,62.0,58.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,4.0,206.0,415.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,13208.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,1.0,38.0,12.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,355.0,355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,61.0,8.0,12.0,11.0,18.0,377.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,97.0,93.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4680.0,4681.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,, +806,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,,30.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,18,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,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,333.0,333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,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,,52.0,11.0,60.0,17.0,41.0,329.0,"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,,,,,40.0,36.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,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,,79.0,19.0,93.0,30.0,18.0,314.0,"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 01:35:23.000,11.0,2252.0,2252.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +810,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,,19.0,6.0,31.0,20.0,39.0,262.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,55.0,52.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,484.0,484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,235.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],18.0,14.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-04-08 15:16:55.000000,2024-04-08 15:03:47,262.0,2.0,31.0,11.0,199.0,21.0,75.0,194.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",12.0,18,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],36.0,35.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,741.0,741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,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,,57.0,5.0,2.0,2.0,1.0,130.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,9242.0,9056.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,366413.0,366446.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1154.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1345.0,468.0,21.0,57.0,167.0,7032.0,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,,,,google-deepmind/lab,,,,,,,,,,,,,,,, +815,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,119.0,24.0,17.0,352.0,4258.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,17,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,987.0,63.0,13.0,44.0,25.0,3603.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,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,,255.0,52.0,13.0,20.0,13.0,1539.0,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,,60.0,81.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1688.0,3.0,,,,,,,,,,,,,,,,,,,, +818,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,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,,144.0,17.0,11.0,25.0,18.0,1156.0,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,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],54.0,52.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,466.0,466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,750.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,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 21:04:12.000,2.0,4536.0,4536.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +821,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,,36.0,12.0,13.0,8.0,16.0,750.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],36.0,36.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2384.0,2479.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2971.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,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,,100.0,24.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,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 02:21:57.000,1.0,180.0,186.0,,,,,,,,3.0,420.0,,,,,,,,,,,,,,,,,,, +823,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,25.0,4.0,39.0,42.0,688.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,,40.0,15.0,18.0,,20.0,595.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-05-08 20:14:16.000000,2024-05-08 20:14:15,683.0,2.0,71.0,30.0,80.0,15.0,25.0,398.0,A Python implementation of active inference for Markov Decision Processes.,15.0,17,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,,53.0,10.0,17.0,10.0,29.0,393.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,17,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1426.0,1426.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +827,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,,69.0,28.0,57.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,62.0,65.0,,,,,,,,3.0,174.0,,,,,,,,,,,,,,,,,,, +828,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,,33.0,14.0,36.0,8.0,44.0,228.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,26.0,24.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-04-01 22:09:11.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,133.0,,35.0,224.0,"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,2022-01-09 08:50:45.005,1.0,2727.0,2834.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3022.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,, +830,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,12.0,8.0,2.0,,5.0,192.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,17,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,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,,531.0,176.0,110.0,56.0,149.0,3917.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,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,,167.0,61.0,10.0,26.0,6.0,1841.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,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,,48.0,48.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +833,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,,109.0,20.0,37.0,20.0,8.0,1039.0,Distributed Computing for AI Made Simple.,5.0,16,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,71.0,70.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,22.0,15.0,9.0,833.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,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,,57.0,18.0,7.0,,10.0,797.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],80.0,79.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,5025.0,5025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,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,,113.0,27.0,10.0,25.0,51.0,785.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1531.0,1531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,87.0,16.0,15.0,10.0,22.0,722.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],17.0,17.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,124.0,42.0,435.0,25.0,130.0,707.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,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,,39.0,24.0,4.0,4.0,2.0,677.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,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 05:27:17.000,2.0,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,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,,92.0,18.0,19.0,3.0,29.0,630.0,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,,,,,14.0,14.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,38.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,12.0,16,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,,137.0,140.0,,,,,,,,3.0,225.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,, +842,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-18 22:30:20.000000,2024-03-18 22:30:15,140.0,3.0,42.0,21.0,169.0,5.0,64.0,465.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,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,,84.0,36.0,47.0,5.0,12.0,406.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,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,,38.0,15.0,39.0,2.0,13.0,395.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,,32.0,23.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,87.0,87.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,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,,52.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,16,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],,,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2279.0,2279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,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,,24.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],14.0,14.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3046.0,3046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,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,,43.0,1.0,,,,195.0,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,,996.0,996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,31.0,13.0,54.0,16.0,50.0,134.0,"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,,,,,57.0,52.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,32.0,53.0,7.0,7.0,105.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-05-13 14:52:17.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-05-13 14:52:17.000,3.42.0,285.0,comet_ml,comet_ml,,,,68.0,,https://pypi.org/project/comet_ml,2024-05-13 14:52:17.000,68.0,555941.0,555941.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,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,,560.0,140.0,28.0,217.0,102.0,2875.0,A distributed graph deep learning framework.,5.0,15,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,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,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,,423.0,144.0,72.0,12.0,53.0,2200.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-04-03 18:25:21.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,22.0,42.0,85.0,1269.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,230.0,39.0,40.0,73.0,34.0,1138.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,,118.0,28.0,111.0,14.0,25.0,1071.0,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,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,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,,116.0,19.0,295.0,3.0,69.0,1056.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,6.0,6.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,42.0,667.0,28.0,27.0,816.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,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,,55.0,16.0,83.0,18.0,49.0,572.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,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,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,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,,88.0,21.0,18.0,22.0,2.0,510.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-04-26 05:02:51.000000,2024-01-25 16:57:26,261.0,,67.0,19.0,99.0,19.0,15.0,488.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-04-21 03:30:12.000000,2024-04-21 03:30:09,79.0,4.0,61.0,16.0,64.0,6.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,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,,56.0,18.0,6.0,6.0,,391.0,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,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,40.0,173.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,6147.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,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,,40.0,12.0,17.0,2.0,5.0,372.0,A PyTorch Graph Neural Network Library.,8.0,15,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,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,2.0,38.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,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,,15.0,11.0,6.0,9.0,6.0,307.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,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,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-05-12 20:02:22.000000,2024-05-12 19:43:50,153.0,51.0,11.0,8.0,15.0,2.0,7.0,259.0,A Jax-based library for designing and training transformer models from scratch.,3.0,15,False,,,6.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-05-12 20:02:22.000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,383.0,383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,28.0,10.0,15.0,6.0,4.0,222.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,974.0,974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,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,,19.0,5.0,2.0,17.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],12.0,12.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,,9.0,5.0,3.0,1.0,,129.0,Data Analysis Baseline Library.,24.0,15,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,4940.0,4940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,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,,827.0,77.0,34.0,116.0,59.0,3320.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1675.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,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,,149.0,32.0,,53.0,59.0,1194.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,82.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,400.0,1828.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,65730.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-03-26 16:48:56.000000,2024-01-29 19:20:57,64.0,,43.0,11.0,9.0,4.0,12.0,703.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,130.0,130.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,67.0,19.0,177.0,87.0,16.0,402.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,True,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,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,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,,37.0,11.0,8.0,10.0,3.0,341.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1319.0,1319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,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,,11.0,16.0,14.0,5.0,4.0,242.0,"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,,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,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,,32.0,8.0,72.0,31.0,8.0,233.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,102.0,28.0,28.0,356.0,3725.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +884,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,,486.0,109.0,12.0,39.0,8.0,2686.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,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,,81.0,49.0,4.0,3.0,,2480.0,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'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1652.0,1654.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,, +886,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,,178.0,38.0,10.0,13.0,3.0,1346.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,18.0,11.0,57.0,4.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,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,,28.0,8.0,6.0,8.0,8.0,246.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,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,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,,25.0,8.0,16.0,4.0,6.0,192.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,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,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,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,,233.0,243.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,, +891,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,,35.0,14.0,18.0,27.0,18.0,122.0,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,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/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,,11.0,13.0,26.0,4.0,13.0,85.0,"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,,150.0,150.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,, +893,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,,12.0,7.0,20.0,3.0,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,33.0,33.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,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,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-03-28 08:06:49.000000,2022-02-09 22:20:11,9.0,,465.0,93.0,21.0,52.0,15.0,3262.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,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,,400.0,63.0,6.0,62.0,17.0,1838.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,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,,316.0,87.0,11.0,12.0,6.0,1701.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,530.0,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,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-04-24 13:48:16.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,258.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,115.0,121.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,8.0,,,,,,,,,,,,,,,,,,, +900,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,,27.0,21.0,44.0,1.0,5.0,199.0,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,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,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,,9.0,6.0,,2.0,4.0,119.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,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,,79.0,79.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,, +903,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,,11.0,8.0,4.0,5.0,14.0,100.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,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,,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,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,,8.0,7.0,4.0,14.0,18.0,84.0,"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,,76.0,76.0,,,,,,,,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 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,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,,111.0,45.0,13.0,7.0,20.0,947.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,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,,146.0,39.0,7.0,19.0,14.0,916.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,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,,21.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,11,False,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,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +910,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,107.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,11,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,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,,81.0,17.0,5.0,4.0,12.0,568.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,50.0,15.0,13.0,14.0,11.0,499.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,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,,10.0,9.0,44.0,,2.0,136.0,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,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,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,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,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,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,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,,25.0,7.0,2.0,2.0,6.0,144.0,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,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,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,,6.0,7.0,,1.0,,67.0,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 17:50:34.944,1.0,34.0,34.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 594f17b..861a6a5 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._ -- jax (πŸ₯‡46 Β· ⭐ 28K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K Β· πŸ“ˆ) - Manipulation and analysis of geometric objects. BSD-3 -- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Captum (πŸ₯‡33 Β· ⭐ 4.6K Β· πŸ“ˆ) - Model interpretability and understanding for PyTorch. BSD-3 -- pyopencl (πŸ₯ˆ33 Β· ⭐ 1K Β· πŸ“ˆ) - OpenCL integration for Python, plus shiny features. MIT -- scattertext (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ“ˆ) - Beautiful visualizations of how language differs among.. Apache-2 -- HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT -- Auto ViML (πŸ₯‰23 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 -- vissl (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ“ˆ) - VISSL is FAIRs library of extensible, modular and scalable.. MIT -- bias-detector (πŸ₯‰13 Β· ⭐ 42 Β· πŸ“ˆ) - Bias Detector is a python package for detecting bias in machine.. MIT +- transformers (πŸ₯‡52 Β· ⭐ 130K Β· πŸ“ˆ) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +- scikit-learn (πŸ₯‡52 Β· ⭐ 58K Β· πŸ“ˆ) - scikit-learn: machine learning in Python. BSD-3 +- XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- StatsModels (πŸ₯‡45 Β· ⭐ 9.6K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +- Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K Β· πŸ“ˆ) - Fiona reads and writes geographic data files. BSD-3 +- imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- Coqui TTS (πŸ₯‡36 Β· ⭐ 30K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- ivy (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- YouTokenToMe (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. 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._ -- scikit-learn (πŸ₯‡50 Β· ⭐ 58K Β· πŸ“‰) - scikit-learn: machine learning in Python. BSD-3 -- SymPy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 -- StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- XGBoost (πŸ₯ˆ42 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 -- Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“‰) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- Prophet (πŸ₯‡34 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT -- TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 -- Satpy (πŸ₯‰31 Β· ⭐ 1K Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720 Β· πŸ“‰) - Snowball compiler and stemming algorithms. BSD-3 -- doctr (πŸ₯‰29 Β· ⭐ 3.1K Β· πŸ“‰) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +- Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed +- jax (πŸ₯‡45 Β· ⭐ 28K Β· πŸ“‰) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +- speechbrain (πŸ₯‡38 Β· ⭐ 8K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +- CuPy (πŸ₯‡37 Β· ⭐ 7.8K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +- metrics (πŸ₯ˆ35 Β· ⭐ 2K Β· πŸ“‰) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +- TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +- Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ“‰) - PyTorch extensions for fast R&D prototyping and.. MIT +- Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ“‰) - General purpose GPU compute framework built on Vulkan.. Apache-2 +- TimeSide (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ“‰) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed