From ea3d211edc95bc4f01e509d10ec0e56f00895bee Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 17 Aug 2023 14:55:55 +0000 Subject: [PATCH] Update best-of list for version 2023.08.17 --- README.md | 3541 ++++++++++++++++--------------- history/2023-08-17_changes.md | 30 + history/2023-08-17_projects.csv | 915 ++++++++ latest-changes.md | 47 +- 4 files changed, 2743 insertions(+), 1790 deletions(-) create mode 100644 history/2023-08-17_changes.md create mode 100644 history/2023-08-17_projects.csv diff --git a/README.md b/README.md index 3e3c1fed..71be3439 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 72K Β· πŸ“¦ 300K Β· πŸ“‹ 38K - 4% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 72K Β· πŸ“¦ 300K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/tensorflow/tensorflow @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 10.08.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 17.08.2023): ``` docker pull tensorflow/tensorflow ```
scikit-learn (πŸ₯‡52 Β· ⭐ 55K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 24K Β· πŸ“₯ 890 Β· πŸ“¦ 580K Β· πŸ“‹ 10K - 15% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 890 Β· πŸ“¦ 580K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 40M / month): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 40M / month Β· πŸ“¦ 29K Β· ⏱️ 30.06.2023): ``` pip install scikit-learn ``` @@ -135,9 +135,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge scikit-learn ```
-
PyTorch (πŸ₯‡46 Β· ⭐ 70K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡47 Β· ⭐ 70K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.3K Β· πŸ”€ 18K Β· πŸ“₯ 22K Β· πŸ“¦ 4 Β· πŸ“‹ 36K - 32% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.3K Β· πŸ”€ 18K Β· πŸ“₯ 22K Β· πŸ“¦ 10 Β· πŸ“‹ 36K - 32% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/pytorch/pytorch @@ -151,9 +151,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
-
StatsModels (πŸ₯‡44 Β· ⭐ 8.7K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
StatsModels (πŸ₯‡45 Β· ⭐ 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 2.6K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.2K - 47% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.6K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.2K - 47% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/statsmodels/statsmodels @@ -167,14 +167,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge statsmodels ```
-
XGBoost (πŸ₯‡43 Β· ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
XGBoost (πŸ₯‡44 Β· ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.1K Β· πŸ“₯ 6.9K Β· πŸ“¦ 64K Β· πŸ“‹ 4.9K - 6% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 6.9K Β· πŸ“¦ 64K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 10M / month): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 10M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.06.2023): ``` pip install xgboost ``` @@ -183,9 +183,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge xgboost ```
+
Keras (πŸ₯‡43 Β· ⭐ 59K) - Deep Learning for humans. Apache-2 + +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 18K Β· πŸ“¦ 10 Β· πŸ“‹ 12K - 2% open Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/keras-team/keras + ``` +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month): + ``` + pip install keras + ``` +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.2M Β· ⏱️ 28.07.2023): + ``` + conda install -c conda-forge keras + ``` +
jax (πŸ₯‡43 Β· ⭐ 24K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 2.2K Β· πŸ“¦ 16K Β· πŸ“‹ 4.4K - 26% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 2.2K Β· πŸ“¦ 17K Β· πŸ“‹ 4.4K - 26% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/google/jax @@ -194,14 +210,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 870K Β· ⏱️ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 880K Β· ⏱️ 30.07.2023): ``` conda install -c conda-forge jaxlib ```
LightGBM (πŸ₯‡43 Β· ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 24K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 24K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/microsoft/LightGBM @@ -215,42 +231,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
-
Keras (πŸ₯ˆ42 Β· ⭐ 59K) - Deep Learning for humans. Apache-2 - -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 18K Β· πŸ“¦ 4 Β· πŸ“‹ 12K - 2% open Β· ⏱️ 07.08.2023): - - ``` - git clone https://github.com/keras-team/keras - ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 11M / month): - ``` - pip install keras - ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.2M Β· ⏱️ 28.07.2023): - ``` - conda install -c conda-forge keras - ``` -
PaddlePaddle (πŸ₯ˆ42 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.1K Β· πŸ“₯ 15K Β· πŸ“¦ 270 Β· πŸ“‹ 17K - 6% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.1K Β· πŸ“₯ 15K Β· πŸ“¦ 280 Β· πŸ“‹ 17K - 6% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 170K / month): ``` pip install paddlepaddle ```
Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Multimodal AI services & pipelines with cloud-native stack: gRPC,.. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 860 Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 890 Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 320K / month Β· πŸ“¦ 13 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 240K / month Β· πŸ“¦ 14 Β· ⏱️ 10.08.2023): ``` pip install jina ``` @@ -258,19 +258,19 @@ _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· ⏱️ 09.08.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 10.08.2023): ``` docker pull jinaai/jina ```
Catboost (πŸ₯ˆ40 Β· ⭐ 7.3K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 170K Β· πŸ“¦ 9 Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 170K Β· πŸ“¦ 9 Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month Β· πŸ“¦ 320 Β· ⏱️ 01.05.2023): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.9M / month Β· πŸ“¦ 320 Β· ⏱️ 01.05.2023): ``` pip install catboost ``` @@ -281,24 +281,24 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (πŸ₯ˆ39 Β· ⭐ 24K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 14K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 14K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 350K / month Β· πŸ“¦ 330 Β· ⏱️ 28.03.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 330K / month Β· πŸ“¦ 330 Β· ⏱️ 28.03.2023): ``` pip install fastai ```
PySpark (πŸ₯ˆ38 Β· ⭐ 36K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 17.08.2023): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 26M / month): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 25M / month): ``` pip install pyspark ``` @@ -309,16 +309,16 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (πŸ₯ˆ38 Β· ⭐ 24K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 890 Β· πŸ”€ 2.9K Β· πŸ“₯ 13K Β· πŸ“‹ 6.4K - 10% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 2.9K Β· πŸ“₯ 13K Β· πŸ“‹ 6.4K - 10% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4M / month): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.1M / month): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 900K Β· ⏱️ 25.07.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 910K Β· ⏱️ 16.08.2023): ``` conda install -c conda-forge pytorch-lightning ``` @@ -330,7 +330,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 400K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 420K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): ``` pip install mxnet ``` @@ -341,12 +341,12 @@ _General-purpose machine learning and deep learning frameworks._
Flax (πŸ₯ˆ37 Β· ⭐ 4.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 500 Β· πŸ“₯ 49 Β· πŸ“¦ 3.9K Β· πŸ“‹ 720 - 13% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 500 Β· πŸ“₯ 49 Β· πŸ“¦ 4K Β· πŸ“‹ 720 - 13% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 980K / month): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.3M / month): ``` pip install flax ``` @@ -355,46 +355,70 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge flax ```
+
ivy (πŸ₯ˆ36 Β· ⭐ 13K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 + +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.1K Β· πŸ“¦ 80 Β· πŸ“‹ 13K - 32% open Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/unifyai/ivy + ``` +- [PyPi](https://pypi.org/project/ivy-core) (πŸ“₯ 72 / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): + ``` + pip install ivy-core + ``` +
Thinc (πŸ₯ˆ36 Β· ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 260 Β· πŸ“¦ 34K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 260 Β· πŸ“¦ 35K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.5M / month): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.7M / month): ``` pip install thinc ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.6M Β· ⏱️ 07.08.2023): +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.6M Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge thinc ```
+
PyFlink (πŸ₯ˆ34 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 + +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/apache/flink + ``` +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 62K / month): + ``` + pip install apache-flink + ``` +
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.2K - 10% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 20.07.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 130K / month): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 130K Β· ⏱️ 10.08.2023): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 130K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge vowpalwabbit ```
einops (πŸ₯ˆ34 Β· ⭐ 7.1K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 15K Β· πŸ“‹ 150 - 19% open Β· ⏱️ 08.07.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 15K Β· πŸ“‹ 150 - 18% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.1M / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.2M / month): ``` pip install einops ``` @@ -410,7 +434,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 19K / month): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 18K / month): ``` pip install chainer ``` @@ -419,26 +443,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge chainer ```
-
PyFlink (πŸ₯ˆ33 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 - -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 4 Β· ⏱️ 10.08.2023): - - ``` - git clone https://github.com/apache/flink - ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 61K / month): - ``` - pip install apache-flink - ``` -
-
skorch (πŸ₯ˆ32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 350 Β· πŸ“¦ 920 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 350 Β· πŸ“¦ 930 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 02.08.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 71K / month): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 72K / month): ``` pip install skorch ``` @@ -447,14 +459,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
-
mlpack (πŸ₯ˆ32 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
mlpack (πŸ₯‰32 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.5K - 2% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.12.2022): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 29.12.2022): ``` pip install mlpack ``` @@ -463,7 +475,7 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge mlpack ```
-
Haiku (πŸ₯ˆ32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 +
Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 220 Β· πŸ“¦ 1.4K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 04.08.2023): @@ -486,7 +498,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 28K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 27K / month): ``` pip install dm-sonnet ``` @@ -497,12 +509,12 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (πŸ₯‰31 Β· ⭐ 9.1K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 180 Β· πŸ“‹ 930 - 24% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 190 Β· πŸ“‹ 930 - 24% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.1K / month): ``` pip install ludwig ``` @@ -523,25 +535,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge tensorpack ```
-
Geomstats (πŸ₯‰31 Β· ⭐ 980) - Computations and statistics on manifolds with geometric structures. MIT - -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 210 Β· πŸ“¦ 76 Β· πŸ“‹ 500 - 33% open Β· ⏱️ 27.07.2023): - - ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.2K / month): - ``` - pip install geomstats - ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.5K Β· ⏱️ 04.08.2023): - ``` - conda install -c conda-forge geomstats - ``` -
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 650) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 78 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream @@ -558,19 +554,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/microsoft/CNTK ``` -- [PyPi](https://pypi.org/project/cntk) (πŸ“₯ 630 / month Β· πŸ“¦ 19 Β· ⏱️ 09.12.2020): +- [PyPi](https://pypi.org/project/cntk) (πŸ“₯ 580 / month Β· πŸ“¦ 19 Β· ⏱️ 09.12.2020): ``` pip install cntk ```
Ignite (πŸ₯‰30 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 97K / month): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 92K / month): ``` pip install pytorch-ignite ``` @@ -586,50 +582,50 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 21K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 30K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
-
Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 +
Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 340 Β· πŸ“₯ 700 Β· πŸ“‹ 91 - 37% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.9K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): ``` pip install nnabla ```
-
Determined (πŸ₯‰30 Β· ⭐ 2.4K Β· βž•) - Determined is a deep-learning platform that.. Apache-2 +
Determined (πŸ₯‰30 Β· ⭐ 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 6.8K Β· πŸ“‹ 410 - 30% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 6.9K Β· πŸ“‹ 410 - 30% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 13K / month Β· πŸ“¦ 4 Β· ⏱️ 15.08.2023): ``` pip install determined ```
EvaDB (πŸ₯‰30 Β· ⭐ 2.2K) - Database system for building simpler and faster AI-powered.. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 160 Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 160 Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 530 / month): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 490 / month): ``` pip install evadb ```
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 450 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 23.07.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 450 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/amaiya/ktrain @@ -639,37 +635,53 @@ _General-purpose machine learning and deep learning frameworks._ pip install ktrain ```
-
Towhee (πŸ₯‰27 Β· ⭐ 2.5K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Geomstats (πŸ₯‰30 Β· ⭐ 980) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 220 Β· πŸ“₯ 1.2K Β· πŸ“‹ 630 - 2% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 220 Β· πŸ“¦ 76 Β· πŸ“‹ 540 - 37% open Β· ⏱️ 27.07.2023): + + ``` + git clone https://github.com/geomstats/geomstats + ``` +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.3K / month Β· πŸ“¦ 3 Β· ⏱️ 28.06.2023): + ``` + pip install geomstats + ``` +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.5K Β· ⏱️ 04.08.2023): + ``` + conda install -c conda-forge geomstats + ``` +
+
Towhee (πŸ₯‰27 Β· ⭐ 2.6K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 + +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“₯ 1.2K Β· πŸ“‹ 630 - 2% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 2.8K / month Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.1K / month Β· ⏱️ 07.07.2022): ``` pip install towhee ```
-
pyRiemann (πŸ₯‰27 Β· ⭐ 510) - Machine learning for multivariate data analysis through the.. BSD-3 +
pyRiemann (πŸ₯‰27 Β· ⭐ 520) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 270 Β· πŸ“‹ 98 - 8% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 270 Β· πŸ“‹ 99 - 8% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 29K / month Β· πŸ“¦ 16 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 3.7K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 3.8K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge pyriemann ```
-
Neural Tangents (πŸ₯‰25 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +
Neural Tangents (πŸ₯‰26 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 220 Β· πŸ“₯ 320 Β· πŸ“¦ 77 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 230 Β· πŸ“₯ 320 Β· πŸ“¦ 78 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/google/neural-tangents @@ -681,12 +693,12 @@ _General-purpose machine learning and deep learning frameworks._
fklearn (πŸ₯‰25 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 -- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 61 - 60% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 63 - 61% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.7K / month Β· ⏱️ 30.12.2021): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.7K / month Β· ⏱️ 16.08.2023): ``` pip install fklearn ``` @@ -698,31 +710,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 1.7K / month): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 1.5K / month Β· πŸ“¦ 12 Β· ⏱️ 04.04.2019): ``` pip install neupy ```
-
ThunderSVM (πŸ₯‰20 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
ThunderSVM (πŸ₯‰21 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 200 Β· πŸ“₯ 2.7K Β· πŸ“‹ 220 - 31% open Β· ⏱️ 13.05.2023): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 260 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 240 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
NeoML (πŸ₯‰19 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 23% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 23% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 110 / month): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 150 / month): ``` pip install neoml ``` @@ -734,7 +746,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 560 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 610 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -746,18 +758,17 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 62 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 43 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ```
-
Show 16 hidden projects... +
Show 15 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - Theano (πŸ₯ˆ35 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed - MindsDB (πŸ₯ˆ34 Β· ⭐ 18K) - MindsDB connects AI models to databases. ❗️GPL-3.0 -- ivy (πŸ₯ˆ32 Β· ⭐ 13K Β· πŸ“‰) - Unified AI. ❗Unlicensed -- Turi Create (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 +- Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed - NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT @@ -778,14 +789,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡50 Β· ⭐ 18K) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (πŸ₯‡48 Β· ⭐ 18K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 7K Β· πŸ“¦ 910K Β· πŸ“‹ 10K - 14% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 6.8K Β· πŸ“¦ 920K Β· πŸ“‹ 9.7K - 12% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 36M / month Β· πŸ“¦ 61K Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 37M / month): ``` pip install matplotlib ``` @@ -794,18 +805,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge matplotlib ```
-
Bokeh (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“‰) - Interactive Data Visualization in the browser, from Python. BSD-3 +
Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 4K Β· πŸ“¦ 74K Β· πŸ“‹ 7.4K - 9% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 74K Β· πŸ“‹ 7.4K - 10% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.5M / month): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.7M / month Β· πŸ“¦ 3.7K Β· ⏱️ 14.08.2023): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 12M Β· ⏱️ 20.07.2023): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 12M Β· ⏱️ 14.08.2023): ``` conda install -c conda-forge bokeh ``` @@ -817,7 +828,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9.9M / month Β· πŸ“¦ 11K Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9.9M / month): ``` pip install seaborn ``` @@ -826,77 +837,77 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge seaborn ```
-
Altair (πŸ₯‡42 Β· ⭐ 8.4K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯‡41 Β· ⭐ 8.4K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 740 Β· πŸ“₯ 74 Β· πŸ“¦ 67K Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 76 Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 14M / month Β· πŸ“¦ 570 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 14M / month): ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 1.9M Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2M Β· ⏱️ 12.07.2023): ``` conda install -c conda-forge altair ```
dash (πŸ₯‡40 Β· ⭐ 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 50K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 50K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.06.2023): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.08.2023): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 01.07.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge dash ```
-
pandas-profiling (πŸ₯‡38 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT +
Plotly (πŸ₯‡39 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 700 - 24% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 2.7K - 49% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/ydataai/pandas-profiling + git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 940K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month): ``` - pip install pandas-profiling + pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 390K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 4.6M Β· ⏱️ 16.08.2023): ``` - conda install -c conda-forge pandas-profiling + conda install -c conda-forge plotly + ``` +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 40K / month): + ``` + npm install plotlywidget ```
-
Plotly (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ“‰) - The interactive graphing library for Python This project now includes.. MIT +
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.3K Β· πŸ“¦ 4 Β· πŸ“‹ 2.7K - 49% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 700 - 24% open Β· ⏱️ 11.08.2023): ``` - git clone https://github.com/plotly/plotly.py - ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month): - ``` - pip install plotly + git clone https://github.com/ydataai/pandas-profiling ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 4.6M Β· ⏱️ 08.06.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 950K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): ``` - conda install -c conda-forge plotly + pip install pandas-profiling ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 44K / month): +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 390K Β· ⏱️ 16.06.2023): ``` - npm install plotlywidget + conda install -c conda-forge pandas-profiling ```
-
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 7.7K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 7.8K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/pyqtgraph/pyqtgraph @@ -910,28 +921,28 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pyqtgraph ```
-
FiftyOne (πŸ₯ˆ36 Β· ⭐ 4K) - Visualize, create, and debug image and video datasets.. Apache-2 +
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 400 Β· πŸ“¦ 370 Β· πŸ“‹ 1.4K - 37% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 10.04.2023): ``` - git clone https://github.com/voxel51/fiftyone + git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 90K / month Β· πŸ“¦ 8 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 60K / month): ``` - pip install fiftyone + pip install pyecharts ```
-
pyecharts (πŸ₯ˆ35 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT +
FiftyOne (πŸ₯ˆ35 Β· ⭐ 4K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 10.04.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 400 Β· πŸ“¦ 380 Β· πŸ“‹ 1.4K - 37% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/pyecharts/pyecharts + git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 58K / month Β· πŸ“¦ 240 Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 100K / month Β· πŸ“¦ 8 Β· ⏱️ 08.08.2023): ``` - pip install pyecharts + pip install fiftyone ```
plotnine (πŸ₯ˆ35 Β· ⭐ 3.5K) - A grammar of graphics for Python. MIT @@ -957,7 +968,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.4M / month Β· πŸ“¦ 3.3K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.5M / month Β· πŸ“¦ 3.3K Β· ⏱️ 23.07.2022): ``` pip install graphviz ``` @@ -966,78 +977,78 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
-
UMAP (πŸ₯ˆ34 Β· ⭐ 6.4K) - Uniform Manifold Approximation and Projection. BSD-3 +
wordcloud (πŸ₯ˆ34 Β· ⭐ 9.6K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“¦ 10K Β· πŸ“‹ 740 - 56% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 520 - 20% open Β· ⏱️ 18.05.2023): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 850K / month Β· πŸ“¦ 480 Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.1M / month Β· πŸ“¦ 800 Β· ⏱️ 18.05.2023): ``` - pip install umap-learn + pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 430K Β· ⏱️ 07.07.2023): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge wordcloud ```
-
PyVista (πŸ₯ˆ34 Β· ⭐ 1.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
UMAP (πŸ₯ˆ34 Β· ⭐ 6.4K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“₯ 770 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“¦ 10K Β· πŸ“‹ 740 - 56% open Β· ⏱️ 04.08.2023): ``` - git clone https://github.com/pyvista/pyvista + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 140K / month): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 840K / month Β· πŸ“¦ 480 Β· ⏱️ 13.04.2022): ``` - pip install pyvista + pip install umap-learn ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 380K Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pyvista + conda install -c conda-forge umap-learn ```
-
wordcloud (πŸ₯ˆ33 Β· ⭐ 9.6K) - A little word cloud generator in Python. MIT +
datashader (πŸ₯ˆ34 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.3K Β· πŸ“¦ 4 Β· πŸ“‹ 520 - 20% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 350 Β· πŸ“¦ 2.8K Β· πŸ“‹ 560 - 22% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.1M / month Β· πŸ“¦ 800 Β· ⏱️ 18.05.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 73K / month): ``` - pip install wordcloud + pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 430K Β· ⏱️ 07.07.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 640K Β· ⏱️ 17.08.2023): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge datashader ```
-
datashader (πŸ₯ˆ33 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 +
PyVista (πŸ₯ˆ34 Β· ⭐ 1.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 2.7K Β· πŸ“‹ 560 - 23% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“₯ 770 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/holoviz/datashader + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 72K / month Β· πŸ“¦ 120 Β· ⏱️ 05.07.2023): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 140K / month): ``` - pip install datashader + pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 640K Β· ⏱️ 06.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 380K Β· ⏱️ 21.07.2023): ``` - conda install -c conda-forge datashader + conda install -c conda-forge pyvista ```
bqplot (πŸ₯ˆ31 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 470 Β· πŸ“¦ 46 Β· πŸ“‹ 610 - 40% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 440 Β· πŸ“¦ 46 Β· πŸ“‹ 590 - 37% open Β· ⏱️ 27.07.2023): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 170K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 170K / month): ``` pip install bqplot ``` @@ -1045,14 +1056,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.5K / month Β· πŸ“¦ 16 Β· ⏱️ 04.08.2023): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.8K / month): ``` npm install bqplot ```
-
HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 +
HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3K - 32% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3K - 32% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/holoviz/holoviews @@ -1061,43 +1072,43 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.3M Β· ⏱️ 25.07.2023): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.3M Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 490 / month): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 640 / month): ``` npm install @pyviz/jupyterlab_pyviz ```
-
Perspective (πŸ₯ˆ30 Β· ⭐ 6.5K) - A data visualization and analytics component, especially.. Apache-2 +
Perspective (πŸ₯ˆ30 Β· ⭐ 6.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 800 Β· πŸ“₯ 470 Β· πŸ“¦ 11 Β· πŸ“‹ 660 - 15% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 790 Β· πŸ“₯ 630 Β· πŸ“¦ 11 Β· πŸ“‹ 650 - 13% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 6.2K / month Β· πŸ“¦ 11 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 6.6K / month): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 430K Β· ⏱️ 24.07.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 430K Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 950 / month Β· πŸ“¦ 3 Β· ⏱️ 09.08.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1K / month): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ30 Β· ⭐ 4.2K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 820 Β· πŸ“‹ 520 - 9% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 830 Β· πŸ“‹ 530 - 9% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 210K / month Β· πŸ“¦ 17 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 230K / month Β· πŸ“¦ 17 Β· ⏱️ 19.07.2023): ``` pip install dtale ``` @@ -1108,12 +1119,12 @@ _General-purpose and task-specific data visualization libraries._
missingno (πŸ₯ˆ30 Β· ⭐ 3.6K) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 460 Β· πŸ“¦ 12K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 460 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 490K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 460K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): ``` pip install missingno ``` @@ -1124,12 +1135,12 @@ _General-purpose and task-specific data visualization libraries._
mpld3 (πŸ₯ˆ30 Β· ⭐ 2.3K Β· πŸ’€) - D3 Renderings of Matplotlib Graphics. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 350 Β· πŸ“¦ 4.9K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 10.12.2022): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 350 Β· πŸ“¦ 5K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 10.12.2022): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 270K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 260K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1137,87 +1148,87 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 760 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 740 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
-
hvPlot (πŸ₯ˆ30 Β· ⭐ 790) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
AutoViz (πŸ₯ˆ30 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 88 Β· πŸ“¦ 3.4K Β· πŸ“‹ 650 - 43% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 530 Β· πŸ“‹ 77 - 2% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/holoviz/hvplot + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 130K / month Β· πŸ“¦ 82 Β· ⏱️ 08.06.2023): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 450K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): ``` - pip install hvplot + pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 440K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 40K Β· ⏱️ 21.07.2023): ``` - conda install -c conda-forge hvplot + conda install -c conda-forge autoviz ```
-
lets-plot (πŸ₯‰29 Β· ⭐ 1.2K) - An open-source plotting library for statistical data. MIT +
lets-plot (πŸ₯ˆ30 Β· ⭐ 1.2K) - An open-source plotting library for statistical data. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 50 Β· πŸ“₯ 510 Β· πŸ“¦ 38 Β· πŸ“‹ 400 - 26% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 50 Β· πŸ“₯ 520 Β· πŸ“¦ 39 Β· πŸ“‹ 400 - 26% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 8.7K / month Β· πŸ“¦ 1 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): ``` pip install lets-plot ```
-
data-validation (πŸ₯‰29 Β· ⭐ 720) - Library for exploring and validating machine learning.. Apache-2 +
hvPlot (πŸ₯ˆ30 Β· ⭐ 790) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 720 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 87 Β· πŸ“¦ 3.4K Β· πŸ“‹ 650 - 42% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/tensorflow/data-validation + git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 240K / month Β· πŸ“¦ 30 Β· ⏱️ 14.04.2023): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 130K / month): ``` - pip install tensorflow-data-validation + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 440K Β· ⏱️ 20.06.2023): + ``` + conda install -c conda-forge hvplot ```
-
Facets Overview (πŸ₯‰28 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 +
data-validation (πŸ₯‰29 Β· ⭐ 730) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 870 Β· πŸ“¦ 190 Β· πŸ“‹ 160 - 49% open Β· ⏱️ 24.05.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 720 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 14.08.2023): ``` - git clone https://github.com/pair-code/facets + git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 200K / month): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 230K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` - pip install facets-overview + pip install tensorflow-data-validation ```
-
AutoViz (πŸ₯‰28 Β· ⭐ 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
Facets Overview (πŸ₯‰28 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 520 Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 870 Β· πŸ“¦ 190 Β· πŸ“‹ 160 - 49% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/AutoViML/AutoViz - ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 580K / month): - ``` - pip install autoviz + git clone https://github.com/pair-code/facets ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 40K Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 200K / month): ``` - conda install -c conda-forge autoviz + pip install facets-overview ```
openTSNE (πŸ₯‰27 Β· ⭐ 1.2K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 630 Β· πŸ“‹ 120 - 1% open Β· ⏱️ 26.05.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 640 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 26.05.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 23K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 21K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): ``` pip install opentsne ``` @@ -1228,7 +1239,7 @@ _General-purpose and task-specific data visualization libraries._
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 780) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 52 Β· πŸ“¦ 450 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 24.07.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 51 Β· πŸ“¦ 480 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/predict-idlab/plotly-resampler @@ -1237,19 +1248,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 25K Β· ⏱️ 09.08.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 26K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge plotly-resampler ```
Chartify (πŸ₯‰26 Β· ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 72 Β· πŸ“‹ 74 - 58% open Β· ⏱️ 21.04.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 73 Β· πŸ“‹ 74 - 58% open Β· ⏱️ 21.04.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.2K / month): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2K / month): ``` pip install chartify ``` @@ -1265,7 +1276,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 24K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 22K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): ``` pip install hiplot ``` @@ -1274,14 +1285,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hiplot ```
-
Multicore-TSNE (πŸ₯‰25 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 390 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 30K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 29K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1297,25 +1308,21 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
-
vega (πŸ₯‰24 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
Popmon (πŸ₯‰24 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 62 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): ``` - git clone https://github.com/vega/ipyvega - ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 10K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): - ``` - pip install vega + git clone https://github.com/ing-bank/popmon ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 8.6K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` - conda install -c conda-forge vega + pip install popmon ```
Sweetviz (πŸ₯‰23 Β· ⭐ 2.5K) - Visualize and compare datasets, target values and associations, with one.. MIT @@ -1334,26 +1341,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge sweetviz ```
-
Popmon (πŸ₯‰23 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT - -- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): - - ``` - git clone https://github.com/ing-bank/popmon - ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.5K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): - ``` - pip install popmon - ``` -
-
python-ternary (πŸ₯‰22 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT +
python-ternary (πŸ₯‰23 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“₯ 24 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 27% open Β· ⏱️ 10.07.2023): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 10.07.2023): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 46K / month Β· πŸ“¦ 24 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 37K / month Β· πŸ“¦ 24 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1369,7 +1364,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 36K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 35K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` pip install pdpbox ``` @@ -1378,6 +1373,22 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pdpbox ```
+
vega (πŸ₯‰21 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 + +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 01.08.2023): + + ``` + git clone https://github.com/vega/ipyvega + ``` +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.9K / month): + ``` + pip install vega + ``` +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge vega + ``` +
ivis (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 37 Β· πŸ“¦ 29 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 11.01.2023): @@ -1385,7 +1396,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 260 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 340 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ``` @@ -1394,14 +1405,14 @@ _General-purpose and task-specific data visualization libraries._ - cartopy (πŸ₯ˆ34 Β· ⭐ 1.2K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 - VisPy (πŸ₯ˆ33 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. ❗Unlicensed -- Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT +- Cufflinks (πŸ₯‰27 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT -- pythreejs (πŸ₯‰25 Β· ⭐ 880 Β· πŸ“‰) - A Jupyter - Three.js bridge. ❗Unlicensed +- pythreejs (πŸ₯‰25 Β· ⭐ 890) - A Jupyter - Three.js bridge. ❗Unlicensed - PandasGUI (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - joypy (πŸ₯‰22 Β· ⭐ 490 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT -- vegafusion (πŸ₯‰22 Β· ⭐ 260) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- pivottablejs (πŸ₯‰21 Β· ⭐ 590 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed -- PyWaffle (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT +- pivottablejs (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed +- vegafusion (πŸ₯‰21 Β· ⭐ 260) - Serverside scaling for Vega and Altair visualizations. BSD-3 +- PyWaffle (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT - animatplot (πŸ₯‰19 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - data-describe (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - pdvega (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT @@ -1418,28 +1429,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡50 Β· ⭐ 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 90K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 21K Β· πŸ“₯ 140 Β· πŸ“¦ 92K Β· πŸ“‹ 12K - 4% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 15M / month Β· πŸ“¦ 2K Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 16M / month): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.2M Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.3M Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 4.1K Β· πŸ“¦ 66K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.2K Β· πŸ“¦ 67K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.9M / month): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6M / month Β· πŸ“¦ 2.8K Β· ⏱️ 08.08.2023): ``` pip install spacy ``` @@ -1450,51 +1461,51 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Rasa (πŸ₯‡40 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.2K Β· πŸ“¦ 3.6K Β· πŸ“‹ 6.6K - 0% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month Β· πŸ“¦ 66 Β· ⏱️ 13.08.2023): ``` pip install rasa ```
-
nltk (πŸ₯‡40 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
gensim (πŸ₯‡40 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 210K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.06.2023): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.4K Β· πŸ“¦ 49K Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 08.08.2023): ``` - git clone https://github.com/nltk/nltk + git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.8M / month Β· πŸ“¦ 3.1K Β· ⏱️ 10.03.2023): ``` - pip install nltk + pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.1M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge nltk + conda install -c conda-forge gensim ```
-
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 +
nltk (πŸ₯‡40 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.4K Β· πŸ“¦ 49K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 210K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.06.2023): ``` - git clone https://github.com/RaRe-Technologies/gensim + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.9M / month): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 11M / month): ``` - pip install gensim + pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge gensim + conda install -c conda-forge nltk ```
fairseq (πŸ₯‡37 Β· ⭐ 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.8K Β· πŸ“₯ 310 Β· πŸ“¦ 1.8K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 07.07.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.8K Β· πŸ“₯ 320 Β· πŸ“¦ 1.9K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 07.07.2023): ``` git clone https://github.com/facebookresearch/fairseq @@ -1503,75 +1514,59 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 44K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge fairseq ```
haystack (πŸ₯‡37 Β· ⭐ 10K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.3K Β· πŸ“₯ 23 Β· πŸ“¦ 840 Β· πŸ“‹ 2.4K - 16% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.3K Β· πŸ“₯ 23 Β· πŸ“¦ 840 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.8K / month Β· πŸ“¦ 87 Β· ⏱️ 03.07.2017): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.6K / month Β· πŸ“¦ 87 Β· ⏱️ 03.07.2017): ``` pip install haystack ```
-
AllenNLP (πŸ₯‡36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.3K Β· πŸ“₯ 61 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): - - ``` - git clone https://github.com/allenai/allennlp - ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 45K / month Β· πŸ“¦ 190 Β· ⏱️ 18.10.2022): - ``` - pip install allennlp - ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge allennlp - ``` -
-
sentencepiece (πŸ₯‡36 Β· ⭐ 8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
Tokenizers (πŸ₯‡37 Β· ⭐ 7.4K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 980 Β· πŸ“₯ 29K Β· πŸ“¦ 36K Β· πŸ“‹ 640 - 3% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 630 Β· πŸ“₯ 31 Β· πŸ“¦ 38K Β· πŸ“‹ 830 - 32% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/google/sentencepiece + git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 9.7M / month): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 11M / month Β· πŸ“¦ 280 Β· ⏱️ 14.08.2023): ``` - pip install sentencepiece + pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 560K Β· ⏱️ 01.07.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge sentencepiece + conda install -c conda-forge tokenizers ```
spark-nlp (πŸ₯‡36 Β· ⭐ 3.4K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 660 Β· πŸ“¦ 330 Β· πŸ“‹ 810 - 4% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 660 Β· πŸ“¦ 330 Β· πŸ“‹ 810 - 4% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.9M / month Β· πŸ“¦ 25 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.7M / month Β· πŸ“¦ 25 Β· ⏱️ 02.08.2023): ``` pip install spark-nlp ```
-
sentence-transformers (πŸ₯ˆ35 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 +
sentence-transformers (πŸ₯‡35 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 12K Β· πŸ“‹ 1.8K - 55% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 13K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.3M / month Β· πŸ“¦ 340 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.4M / month Β· πŸ“¦ 400 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` @@ -1580,26 +1575,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentence-transformers ```
-
ParlAI (πŸ₯ˆ35 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT +
AllenNLP (πŸ₯‡35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.1K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 07.07.2023): +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.2K Β· πŸ“₯ 61 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): ``` - git clone https://github.com/facebookresearch/ParlAI + git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.2K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 44K / month): ``` - pip install parlai + pip install allennlp + ``` +- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge allennlp ```
-
TextBlob (πŸ₯ˆ35 Β· ⭐ 8.6K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
TextBlob (πŸ₯‡35 Β· ⭐ 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT - [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 32K Β· πŸ“‹ 260 - 39% open Β· ⏱️ 11.03.2023): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 660K / month): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 640K / month): ``` pip install textblob ``` @@ -1608,21 +1607,49 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
-
OpenNMT (πŸ₯ˆ35 Β· ⭐ 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT +
sentencepiece (πŸ₯‡35 Β· ⭐ 8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 + +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 980 Β· πŸ“₯ 29K Β· πŸ“¦ 37K Β· πŸ“‹ 650 - 3% open Β· ⏱️ 05.08.2023): + + ``` + git clone https://github.com/google/sentencepiece + ``` +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 9.9M / month): + ``` + pip install sentencepiece + ``` +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 570K Β· ⏱️ 01.07.2023): + ``` + conda install -c conda-forge sentencepiece + ``` +
+
NeMo (πŸ₯‡35 Β· ⭐ 7.6K) - NeMo: a toolkit for conversational AI. Apache-2 + +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.7K Β· πŸ“₯ 60K Β· πŸ“¦ 10 Β· πŸ“‹ 1.8K - 6% open Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/NVIDIA/NeMo + ``` +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 40K / month Β· πŸ“¦ 10 Β· ⏱️ 04.08.2023): + ``` + pip install nemo-toolkit + ``` +
+
OpenNMT (πŸ₯‡35 Β· ⭐ 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.1K Β· πŸ“¦ 220 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.8K / month): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.5K / month): ``` pip install OpenNMT-py ```
-
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 +
TensorFlow Text (πŸ₯‡35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.7K Β· πŸ“‹ 220 - 29% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.7K Β· πŸ“‹ 220 - 29% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/tensorflow/text @@ -1634,12 +1661,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 4.4K Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 21.06.2023): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 4.6K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 210 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` @@ -1648,26 +1675,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
-
NeMo (πŸ₯ˆ34 Β· ⭐ 7.5K) - NeMo: a toolkit for conversational AI. Apache-2 +
ParlAI (πŸ₯ˆ34 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.6K Β· πŸ“₯ 56K Β· πŸ“¦ 4 Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.1K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 14.08.2023): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 38K / month): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` - pip install nemo-toolkit + pip install parlai ```
rubrix (πŸ₯ˆ34 Β· ⭐ 2.4K) - Argilla: the open-source data curation platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 220 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 16% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 16% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 230 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 350 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1676,41 +1703,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge rubrix ```
-
Tokenizers (πŸ₯ˆ33 Β· ⭐ 7.4K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 600 Β· πŸ“₯ 27 Β· πŸ“¦ 68 Β· πŸ“‹ 800 - 29% open Β· ⏱️ 07.08.2023): - - ``` - git clone https://github.com/huggingface/tokenizers - ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 11M / month): - ``` - pip install tokenizers - ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tokenizers - ``` -
-
stanza (πŸ₯ˆ32 Β· ⭐ 6.7K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 +
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 860 Β· πŸ“¦ 2K Β· πŸ“‹ 810 - 11% open Β· ⏱️ 14.03.2023): - - ``` - git clone https://github.com/stanfordnlp/stanza - ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 130K / month Β· πŸ“¦ 89 Β· ⏱️ 14.03.2023): - ``` - pip install stanza - ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): - ``` - conda install -c stanfordnlp stanza - ``` -
-
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2 - -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 1.1K Β· πŸ“¦ 350 Β· πŸ“‹ 630 - 3% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 350 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/deepmipt/DeepPavlov @@ -1720,20 +1715,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install deeppavlov ```
-
Dedupe (πŸ₯ˆ30 Β· ⭐ 3.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT +
spacy-transformers (πŸ₯ˆ31 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 520 Β· πŸ“¦ 290 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 17.02.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· ⏱️ 11.08.2023): ``` - git clone https://github.com/dedupeio/dedupe + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 110K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month Β· πŸ“¦ 40 Β· ⏱️ 01.08.2023): ``` - pip install dedupe + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 21K Β· ⏱️ 09.08.2023): ``` - conda install -c conda-forge dedupe + conda install -c conda-forge spacy-transformers ```
ftfy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT @@ -1743,7 +1738,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.3M / month): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.4M / month): ``` pip install ftfy ``` @@ -1759,26 +1754,14 @@ _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“₯ 550K / month): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 470K / month): ``` pip install torchtext ```
-
DeepKE (πŸ₯ˆ30 Β· ⭐ 2.2K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT - -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 550 Β· πŸ“¦ 19 Β· ⏱️ 09.08.2023): - - ``` - git clone https://github.com/zjunlp/deepke - ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.2K / month Β· ⏱️ 05.08.2023): - ``` - pip install deepke - ``` -
jellyfish (πŸ₯ˆ30 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 6.6K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 6.6K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/jamesturk/jellyfish @@ -1787,27 +1770,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 650K Β· ⏱️ 02.07.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 660K Β· ⏱️ 02.07.2023): ``` conda install -c conda-forge jellyfish ```
-
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· ⏱️ 31.07.2023): - - ``` - git clone https://github.com/explosion/spacy-transformers - ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month Β· πŸ“¦ 40 Β· ⏱️ 01.08.2023): - ``` - pip install spacy-transformers - ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 20K Β· ⏱️ 09.08.2023): - ``` - conda install -c conda-forge spacy-transformers - ``` -
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 680) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 170 Β· πŸ“¦ 4 Β· πŸ“‹ 83 - 37% open Β· ⏱️ 07.08.2023): @@ -1815,7 +1782,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 9.6M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 9.5M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` @@ -1831,11 +1798,27 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 520K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 540K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` pip install english-words ```
+
Dedupe (πŸ₯ˆ29 Β· ⭐ 3.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT + +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 500 Β· πŸ“¦ 290 Β· πŸ“‹ 790 - 8% open Β· ⏱️ 17.02.2023): + + ``` + git clone https://github.com/dedupeio/dedupe + ``` +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 87K / month): + ``` + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dedupe + ``` +
GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 500 Β· πŸ“¦ 1.3K Β· πŸ“‹ 530 - 44% open Β· ⏱️ 25.12.2022): @@ -1848,16 +1831,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install gluonnlp ```
-
SciSpacy (πŸ₯ˆ29 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 +
DeepKE (πŸ₯ˆ29 Β· ⭐ 2.2K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“¦ 740 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 550 Β· πŸ“¦ 19 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/allenai/scispacy + git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 60K / month Β· πŸ“¦ 30 Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 760 / month Β· ⏱️ 05.08.2023): ``` - pip install scispacy + pip install deepke + ``` +
+
Sumy (πŸ₯ˆ28 Β· ⭐ 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2 + +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 510 Β· πŸ“¦ 2.1K Β· πŸ“‹ 110 - 14% open Β· ⏱️ 11.08.2023): + + ``` + git clone https://github.com/miso-belica/sumy + ``` +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 23K / month): + ``` + pip install sumy + ``` +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.3K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sumy ```
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.2K Β· πŸ’€) - Compute distance between sequences. 30+ algorithms, pure.. MIT @@ -1867,7 +1866,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 330K / month Β· πŸ“¦ 56 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 330K / month): ``` pip install textdistance ``` @@ -1888,16 +1887,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install fastnlp ```
-
PyTextRank (πŸ₯ˆ28 Β· ⭐ 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT +
SciSpacy (πŸ₯ˆ28 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 450 Β· πŸ“‹ 96 - 25% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 740 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/DerwenAI/pytextrank + git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 65K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 56K / month): ``` - pip install pytextrank + pip install scispacy ```
Ciphey (πŸ₯‰27 Β· ⭐ 14K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT @@ -1911,79 +1910,51 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install ciphey ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 20K Β· ⭐ 14 Β· ⏱️ 10.03.2023): +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 20K Β· ⭐ 14 Β· ⏱️ 11.08.2023): ``` docker pull remnux/ciphey ```
qdrant (πŸ₯‰27 Β· ⭐ 12K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 630 Β· πŸ“₯ 660 Β· πŸ“‹ 630 - 16% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 640 Β· πŸ“₯ 760 Β· πŸ“‹ 640 - 16% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/qdrant/qdrant ```
-
Sumy (πŸ₯‰27 Β· ⭐ 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2 +
PyTextRank (πŸ₯‰27 Β· ⭐ 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 510 Β· πŸ“¦ 2.1K Β· πŸ“‹ 120 - 17% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 450 Β· πŸ“‹ 99 - 27% open Β· ⏱️ 07.08.2023): ``` - git clone https://github.com/miso-belica/sumy - ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 24K / month Β· πŸ“¦ 110 Β· ⏱️ 21.04.2022): - ``` - pip install sumy - ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge sumy - ``` -
-
CLTK (πŸ₯‰27 Β· ⭐ 800) - The Classical Language Toolkit. MIT - -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 42 Β· πŸ“¦ 240 Β· πŸ“‹ 550 - 6% open Β· ⏱️ 06.03.2023): - - ``` - git clone https://github.com/cltk/cltk + git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.4K / month): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 60K / month Β· πŸ“¦ 16 Β· ⏱️ 07.08.2023): ``` - pip install cltk + pip install pytextrank ```
-
happy-transformer (πŸ₯‰27 Β· ⭐ 450 Β· πŸ“ˆ) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰27 Β· ⭐ 450) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 190 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.7K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
-
T5 (πŸ₯‰26 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 710 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 16.06.2023): - - ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer - ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 110K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): - ``` - pip install t5 - ``` -
pytorch-nlp (πŸ₯‰26 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 550 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 560 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.9K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.8K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ``` @@ -1995,7 +1966,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.8K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -2004,6 +1975,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ```
+
CLTK (πŸ₯‰26 Β· ⭐ 800) - The Classical Language Toolkit. MIT + +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 42 Β· πŸ“¦ 240 Β· πŸ“‹ 550 - 6% open Β· ⏱️ 06.03.2023): + + ``` + git clone https://github.com/cltk/cltk + ``` +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 730 / month): + ``` + pip install cltk + ``` +
scattertext (πŸ₯‰25 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 420 Β· πŸ“‹ 98 - 20% open Β· ⏱️ 06.05.2023): @@ -2015,19 +1998,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install scattertext ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 82K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge scattertext ```
promptsource (πŸ₯‰25 Β· ⭐ 2K) - Toolkit for creating, sharing and using natural language prompts. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 53 Β· πŸ“‹ 190 - 26% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 53 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 3.9K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 4.6K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` pip install promptsource ``` @@ -2039,23 +2022,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4.5K / month Β· πŸ“¦ 3 Β· ⏱️ 14.09.2020): +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4.4K / month Β· πŸ“¦ 3 Β· ⏱️ 14.09.2020): + ``` + pip install farm + ``` +- [Conda](https://anaconda.org/conda-forge/farm) (πŸ“₯ 2.9K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge farm + ``` +
+
T5 (πŸ₯‰24 Β· ⭐ 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 + +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 710 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 15.08.2023): + ``` - pip install farm + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [Conda](https://anaconda.org/conda-forge/farm) (πŸ“₯ 2.9K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 140K / month): ``` - conda install -c conda-forge farm + pip install t5 ```
-
OpenPrompt (πŸ₯‰24 Β· ⭐ 3.6K) - An Open-Source Framework for Prompt-Learning. Apache-2 +
OpenPrompt (πŸ₯‰24 Β· ⭐ 3.7K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 390 Β· πŸ“¦ 68 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 400 Β· πŸ“¦ 68 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ``` @@ -2067,11 +2062,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 200 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 220 / month Β· ⏱️ 10.05.2021): ``` pip install jiant ```
+
litellm (πŸ₯‰24 Β· ⭐ 580 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s + +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 21 Β· πŸ“¦ 17 Β· πŸ“‹ 120 - 63% open Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/BerriAI/litellm + ``` +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 8.4K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): + ``` + pip install litellm + ``` +
Texthero (πŸ₯‰23 Β· ⭐ 2.8K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 28.10.2022): @@ -2084,26 +2091,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install texthero ```
-
Sockeye (πŸ₯‰23 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
fast-bert (πŸ₯‰23 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 300 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 02.03.2023): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 460 / month): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): ``` - pip install sockeye + pip install fast-bert ```
YouTokenToMe (πŸ₯‰23 Β· ⭐ 890) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 73 Β· πŸ“¦ 500 Β· πŸ“‹ 57 - 52% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 75 Β· πŸ“¦ 500 Β· πŸ“‹ 57 - 52% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 34K / month): ``` pip install youtokentome ``` @@ -2112,21 +2119,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge youtokentome ```
-
fast-bert (πŸ₯‰22 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 300 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 10.08.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.9K / month): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 620 / month): ``` - pip install fast-bert + pip install sockeye ```
-
detoxify (πŸ₯‰22 Β· ⭐ 680) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰22 Β· ⭐ 690) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 89 Β· πŸ“₯ 250K Β· πŸ“¦ 370 Β· πŸ“‹ 53 - 56% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 90 Β· πŸ“₯ 260K Β· πŸ“¦ 370 Β· πŸ“‹ 53 - 56% open Β· ⏱️ 05.07.2023): ``` git clone https://github.com/unitaryai/detoxify @@ -2136,14 +2143,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install detoxify ```
-
small-text (πŸ₯‰22 Β· ⭐ 470) - Active Learning for Text Classification in Python. MIT +
finetune (πŸ₯‰22 Β· ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0 + +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 18.05.2023): + + ``` + git clone https://github.com/IndicoDataSolutions/finetune + ``` +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 240 / month Β· πŸ“¦ 2 Β· ⏱️ 20.12.2021): + ``` + pip install finetune + ``` +
+
small-text (πŸ₯‰22 Β· ⭐ 480) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 50 Β· πŸ“¦ 21 Β· πŸ“‹ 36 - 22% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 51 Β· πŸ“¦ 21 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 03.08.2023): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 560 / month): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 600 / month Β· ⏱️ 22.07.2023): ``` pip install small-text ``` @@ -2164,18 +2183,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install nlp-architect ```
-
finetune (πŸ₯‰21 Β· ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0 - -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 16% open Β· ⏱️ 18.05.2023): - - ``` - git clone https://github.com/IndicoDataSolutions/finetune - ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 320 / month): - ``` - pip install finetune - ``` -
lightseq (πŸ₯‰19 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 - [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 310 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 60% open Β· ⏱️ 10.05.2023): @@ -2195,7 +2202,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.1K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` pip install textaugment ``` @@ -2210,19 +2217,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
UForm (πŸ₯‰17 Β· ⭐ 390 Β· 🐣) - Multi-Modal AI inference library for Multi-Lingual Text,.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 14 Β· πŸ“¦ 6 Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 15 Β· πŸ“¦ 6 Β· ⏱️ 04.08.2023): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 490 / month): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 560 / month Β· ⏱️ 04.08.2023): ``` pip install uform ```
TextBox (πŸ₯‰16 Β· ⭐ 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 66 - 6% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 66 - 6% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox @@ -2232,14 +2239,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install textbox ```
-
VizSeq (πŸ₯‰14 Β· ⭐ 430) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰12 Β· ⭐ 430) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 65 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 84 / month): ``` pip install vizseq ``` @@ -2247,46 +2254,46 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Show 41 hidden projects... - flair (πŸ₯‡37 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed -- ChatterBot (πŸ₯ˆ35 Β· ⭐ 13K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- ChatterBot (πŸ₯‡35 Β· ⭐ 13K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ34 Β· ⭐ 8.9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- nlpaug (πŸ₯ˆ29 Β· ⭐ 4.1K Β· πŸ’€) - Data augmentation for NLP. MIT +- stanza (πŸ₯ˆ30 Β· ⭐ 6.7K) - Stanford NLP Python library for tokenization, sentence.. ❗Unlicensed +- nlpaug (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - Data augmentation for NLP. MIT - textacy (πŸ₯ˆ29 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT - underthesea (πŸ₯ˆ28 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - flashtext (πŸ₯‰26 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - neuralcoref (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +- pySBD (πŸ₯‰25 Β· ⭐ 640 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 440 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +- MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 +- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed - langid (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed -- pySBD (πŸ₯‰24 Β· ⭐ 640 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - Snips NLU (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 -- MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- PyText (πŸ₯‰22 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - stop-words (πŸ₯‰22 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 -- PyText (πŸ₯‰21 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- litellm (πŸ₯‰21 Β· ⭐ 230 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT - Camphr (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - fastT5 (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT -- nboost (πŸ₯‰17 Β· ⭐ 660 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - DeepMatcher (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - skift (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT +- NeuroNER (πŸ₯‰15 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 -- NeuralQA (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- NeuralQA (πŸ₯‰14 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - textvec (πŸ₯‰14 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰14 Β· ⭐ 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 -- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2298,12 +2305,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡47 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 2.9K - 3% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 2.9K - 3% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 61M / month Β· πŸ“¦ 66K Β· ⏱️ 01.07.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 62M / month Β· πŸ“¦ 66K Β· ⏱️ 01.07.2023): ``` pip install Pillow ``` @@ -2312,25 +2319,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
-
torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡38 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 6.7K Β· πŸ“₯ 29K Β· πŸ“¦ 4 Β· πŸ“‹ 3.1K - 29% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 6.6K Β· πŸ“₯ 29K Β· πŸ“¦ 10 Β· πŸ“‹ 2.9K - 25% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.7M / month Β· πŸ“¦ 4.4K Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 6.8M / month): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 790K Β· ⏱️ 22.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 800K Β· ⏱️ 22.06.2023): ``` conda install -c conda-forge torchvision ```
Kornia (πŸ₯‡38 Β· ⭐ 8.5K) - Computer Vision and Robotics Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 860 Β· πŸ“₯ 780 Β· πŸ“¦ 5.6K Β· πŸ“‹ 820 - 30% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 860 Β· πŸ“₯ 790 Β· πŸ“¦ 5.7K Β· πŸ“‹ 820 - 30% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/kornia/kornia @@ -2339,19 +2346,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 93K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 94K Β· ⏱️ 04.08.2023): ``` conda install -c conda-forge kornia ```
imageio (πŸ₯‡38 Β· ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“₯ 810 Β· πŸ“¦ 98K Β· πŸ“‹ 570 - 15% open Β· ⏱️ 29.07.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“₯ 810 Β· πŸ“¦ 99K Β· πŸ“‹ 560 - 15% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 15M / month Β· πŸ“¦ 2.9K Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 15M / month): ``` pip install imageio ``` @@ -2362,12 +2369,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MoviePy (πŸ₯‡37 Β· ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 27K Β· πŸ“‹ 1.4K - 26% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 28K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month Β· πŸ“¦ 910 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month): ``` pip install moviepy ``` @@ -2376,42 +2383,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
-
InsightFace (πŸ₯‡36 Β· ⭐ 17K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
PyTorch Image Models (πŸ₯‡36 Β· ⭐ 26K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 4.6K Β· πŸ“₯ 280K Β· πŸ“¦ 610 Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.1K Β· πŸ“₯ 5.2M Β· πŸ“¦ 10 Β· πŸ“‹ 770 - 8% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/deepinsight/insightface + git clone https://github.com/rwightman/pytorch-image-models + ``` +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.6M / month): + ``` + pip install timm ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 250K / month Β· πŸ“¦ 10 Β· ⏱️ 17.12.2022): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 87K Β· ⏱️ 04.08.2023): ``` - pip install insightface + conda install -c conda-forge timm ```
-
PyTorch Image Models (πŸ₯ˆ35 Β· ⭐ 26K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
MMDetection (πŸ₯ˆ35 Β· ⭐ 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 4.1K Β· πŸ“₯ 5.1M Β· πŸ“¦ 4 Β· πŸ“‹ 770 - 8% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 8K Β· πŸ“¦ 10 Β· πŸ“‹ 7.4K - 12% open Β· ⏱️ 30.06.2023): ``` - git clone https://github.com/rwightman/pytorch-image-models - ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.5M / month): - ``` - pip install timm + git clone https://github.com/open-mmlab/mmdetection ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 85K Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month): ``` - conda install -c conda-forge timm + pip install mmdet ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 26K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.5K Β· πŸ“¦ 1.3K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 6 Β· ⏱️ 06.02.2020): +- [PyPi](https://pypi.org/project/detectron2): ``` pip install detectron2 ``` @@ -2420,18 +2427,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
-
MMDetection (πŸ₯ˆ34 Β· ⭐ 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 8K Β· πŸ“¦ 4 Β· πŸ“‹ 7.3K - 11% open Β· ⏱️ 30.06.2023): - - ``` - git clone https://github.com/open-mmlab/mmdetection - ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 170K / month): - ``` - pip install mmdet - ``` -
Albumentations (πŸ₯ˆ34 Β· ⭐ 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 780 - 45% open Β· ⏱️ 10.06.2023): @@ -2439,7 +2434,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 940K / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1M / month): ``` pip install albumentations ``` @@ -2448,18 +2443,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge albumentations ```
-
opencv-python (πŸ₯ˆ34 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 730 Β· πŸ“‹ 690 - 10% open Β· ⏱️ 09.08.2023): - - ``` - git clone https://github.com/opencv/opencv-python - ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 9.2M / month Β· πŸ“¦ 11K Β· ⏱️ 09.08.2023): - ``` - pip install opencv-python - ``` -
Wand (πŸ₯ˆ34 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 21K Β· πŸ“¦ 17K Β· πŸ“‹ 400 - 5% open Β· ⏱️ 16.06.2023): @@ -2467,7 +2450,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 770K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 740K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` pip install wand ``` @@ -2476,50 +2459,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge wand ```
-
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.4K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 980 Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 990 Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
deepface (πŸ₯ˆ32 Β· ⭐ 7.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.7K Β· πŸ“‹ 740 - 1% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.8K Β· πŸ“‹ 740 - 1% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 28K / month Β· πŸ“¦ 12 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 28K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): ``` pip install deepface ```
-
PaddleDetection (πŸ₯ˆ31 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 100 Β· πŸ“‹ 5K - 23% open Β· ⏱️ 30.07.2023): - - ``` - git clone https://github.com/PaddlePaddle/PaddleDetection - ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 960 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): - ``` - pip install paddledet - ``` -
ImageHash (πŸ₯ˆ31 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 10K Β· πŸ“‹ 120 - 7% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 10K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 05.08.2023): ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month Β· πŸ“¦ 370 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month): ``` pip install ImageHash ``` @@ -2530,130 +2501,142 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 15K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 2.4K Β· πŸ“¦ 300 Β· πŸ“‹ 230 - 46% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 2.5K Β· πŸ“¦ 300 Β· πŸ“‹ 230 - 47% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 14.08.2023): ``` pip install vit-pytorch ```
-
imageai (πŸ₯ˆ30 Β· ⭐ 8K) - A python library built to empower developers to build applications and.. MIT +
PaddleDetection (πŸ₯ˆ30 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 870K Β· πŸ“¦ 1.4K Β· πŸ“‹ 740 - 40% open Β· ⏱️ 19.06.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 100 Β· πŸ“‹ 5K - 23% open Β· ⏱️ 30.07.2023): ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 5.6K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): - ``` - pip install imageai + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 920 / month): ``` - conda install -c conda-forge imageai + pip install paddledet ```
-
lightly (πŸ₯ˆ30 Β· ⭐ 2.4K) - A python library for self-supervised learning on images. MIT +
lightly (πŸ₯ˆ30 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 18% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 18% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 8.7K / month Β· πŸ“¦ 4 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 08.08.2023): ``` pip install lightly ```
-
sahi (πŸ₯ˆ29 Β· ⭐ 2.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
imageai (πŸ₯ˆ29 Β· ⭐ 8K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 420 Β· πŸ“₯ 17K Β· πŸ“¦ 580 Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 870K Β· πŸ“¦ 1.4K Β· πŸ“‹ 730 - 39% open Β· ⏱️ 19.06.2023): ``` - git clone https://github.com/obss/sahi + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 73K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 5.2K / month): ``` - pip install sahi + pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge sahi + conda install -c conda-forge imageai ```
-
doctr (πŸ₯ˆ29 Β· ⭐ 2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.4K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“₯ 1.7M Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 10 Β· πŸ“‹ 300 - 22% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/mindee/doctr + git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 9.1K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 55K / month): ``` - pip install python-doctr + pip install face-alignment ```
-
Face Alignment (πŸ₯‰28 Β· ⭐ 6.4K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
doctr (πŸ₯ˆ29 Β· ⭐ 2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 1.3K Β· πŸ“¦ 4 Β· πŸ“‹ 300 - 22% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“₯ 1.7M Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 14.08.2023): ``` - git clone https://github.com/1adrianb/face-alignment + git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 54K / month): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 8.5K / month Β· πŸ“¦ 3 Β· ⏱️ 29.09.2022): ``` - pip install face-alignment + pip install python-doctr ```
GluonCV (πŸ₯‰28 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 4 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 10 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 45K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 42K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): ``` pip install gluoncv ```
facenet-pytorch (πŸ₯‰28 Β· ⭐ 3.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 800 Β· πŸ“₯ 660K Β· πŸ“¦ 1.2K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 800 Β· πŸ“₯ 660K Β· πŸ“¦ 1.3K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 06.04.2023): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 27K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 28K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
-
vidgear (πŸ₯‰28 Β· ⭐ 2.9K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 +
opencv-python (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“₯ 900 Β· πŸ“¦ 430 Β· πŸ“‹ 260 - 1% open Β· ⏱️ 22.07.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 710 Β· πŸ“‹ 690 - 9% open Β· ⏱️ 09.08.2023): ``` - git clone https://github.com/abhiTronix/vidgear + git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 15K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 9.7M / month): ``` - pip install vidgear + pip install opencv-python ```
-
Augmentor (πŸ₯‰27 Β· ⭐ 4.9K Β· πŸ“ˆ) - Image augmentation library in Python for machine learning. MIT +
sahi (πŸ₯‰28 Β· ⭐ 2.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 630 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 430 Β· πŸ“₯ 17K Β· πŸ“¦ 590 Β· ⏱️ 13.06.2023): ``` - git clone https://github.com/mdbloice/Augmentor + git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 76K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): ``` - pip install Augmentor + pip install sahi + ``` +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sahi + ``` +
+
vidgear (πŸ₯‰28 Β· ⭐ 2.9K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 + +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“₯ 910 Β· πŸ“¦ 430 Β· πŸ“‹ 260 - 1% open Β· ⏱️ 22.07.2023): + + ``` + git clone https://github.com/abhiTronix/vidgear + ``` +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 22K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2023): + ``` + pip install vidgear ```
layout-parser (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 @@ -2663,7 +2646,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Layout-Parser/layout-parser ``` -- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 77K / month Β· πŸ“¦ 4 Β· ⏱️ 06.04.2022): +- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 80K / month Β· πŸ“¦ 4 Β· ⏱️ 06.04.2022): ``` pip install layoutparser ``` @@ -2675,7 +2658,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9.9K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9.3K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2684,40 +2667,52 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge mahotas ```
-
CellProfiler (πŸ₯‰26 Β· ⭐ 780) - An open-source application for biological image analysis. BSD-3 +
CellProfiler (πŸ₯‰27 Β· ⭐ 790) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 350 Β· πŸ“₯ 5.4K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.4K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 600 / month Β· πŸ“¦ 1 Β· ⏱️ 22.07.2021): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ```
-
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.6K) - Finding duplicate images made easy!. Apache-2 +
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.7K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 55 Β· πŸ“‹ 130 - 35% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.9K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ```
-
MMF (πŸ₯‰24 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 +
Norfair (πŸ₯‰25 Β· ⭐ 1.9K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 190 Β· πŸ“₯ 280 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): ``` - git clone https://github.com/facebookresearch/mmf + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 270 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` - pip install mmf + pip install norfair + ``` +
+
Augmentor (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ“‰) - Image augmentation library in Python for machine learning. MIT + +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 630 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): + + ``` + git clone https://github.com/mdbloice/Augmentor + ``` +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 10K / month): + ``` + pip install Augmentor ```
pytorchvideo (πŸ₯‰24 Β· ⭐ 3K) - A deep learning library for video understanding research. Apache-2 @@ -2727,57 +2722,57 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 39K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
ffcv (πŸ₯‰24 Β· ⭐ 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 28 Β· πŸ“‹ 240 - 34% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 28 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 05.07.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 730 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
-
kubric (πŸ₯‰24 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 +
MMF (πŸ₯‰23 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 31.03.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 11.07.2023): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 4.7K / month Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` - pip install kubric-nightly + pip install mmf ```
vissl (πŸ₯‰23 Β· ⭐ 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 310 Β· πŸ“¦ 23 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 310 Β· πŸ“¦ 24 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 27.07.2023): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 260 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 240 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ```
-
Norfair (πŸ₯‰23 Β· ⭐ 1.9K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
kubric (πŸ₯‰23 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 190 Β· πŸ“₯ 280 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/tryolabs/norfair + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 4.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 6K / month Β· ⏱️ 17.08.2023): ``` - pip install norfair + pip install kubric-nightly ```
Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K) - An end-to-end PyTorch framework for image and video.. MIT @@ -2787,7 +2782,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 1.7K / month): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.1K / month): ``` pip install classy_vision ``` @@ -2803,57 +2798,45 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 6.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ```
pyvips (πŸ₯‰23 Β· ⭐ 530) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 560 Β· πŸ“‹ 370 - 40% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 570 Β· πŸ“‹ 370 - 40% open Β· ⏱️ 30.06.2023): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 50K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 55K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 64K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pyvips ```
-
pycls (πŸ₯‰22 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT - -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 14 Β· πŸ“‹ 81 - 30% open Β· ⏱️ 12.06.2023): - - ``` - git clone https://github.com/facebookresearch/pycls - ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 350K / month Β· ⏱️ 05.09.2020): - ``` - pip install pycls - ``` -
-
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 11K) - End-to-End Object Detection with Transformers. Apache-2 +
DEβ«ΆTR (πŸ₯‰22 Β· ⭐ 12K) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 4 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2K Β· πŸ“¦ 10 Β· πŸ“‹ 500 - 43% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
-
PySlowFast (πŸ₯‰20 Β· ⭐ 5.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
pycls (πŸ₯‰22 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 13 Β· πŸ“‹ 620 - 55% open Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 14 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 12.06.2023): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 18 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 310K / month): ``` - pip install pyslowfast + pip install pycls ```
image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 @@ -2863,7 +2846,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 940 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): ``` pip install image_match ``` @@ -2875,39 +2858,52 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.2K / month): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.3K / month): ``` pip install tensorflow-graphics ```
-
scenic (πŸ₯‰19 Β· ⭐ 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
PySlowFast (πŸ₯‰19 Β· ⭐ 5.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 + +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 620 - 55% open Β· ⏱️ 13.06.2023): + + ``` + git clone https://github.com/facebookresearch/SlowFast + ``` +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 16 / month): + ``` + pip install pyslowfast + ``` +
+
scenic (πŸ₯‰18 Β· ⭐ 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 330 Β· πŸ“‹ 220 - 67% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 340 Β· πŸ“‹ 220 - 67% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/google-research/scenic ```
-
Show 19 hidden projects... +
Show 20 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.5K) - Image processing in Python. ❗Unlicensed - imgaug (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- glfw (πŸ₯ˆ34 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- PyTorch3D (πŸ₯ˆ31 Β· ⭐ 7.5K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- imutils (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT -- Face Recognition (πŸ₯ˆ30 Β· ⭐ 49K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- glfw (πŸ₯ˆ35 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- InsightFace (πŸ₯ˆ32 Β· ⭐ 17K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- Face Recognition (πŸ₯ˆ31 Β· ⭐ 49K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- PyTorch3D (πŸ₯ˆ31 Β· ⭐ 7.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed +- imutils (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - mtcnn (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K) - The friendly PIL fork. ❗️PIL - segmentation_models (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 -- Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- Image Super-Resolution (πŸ₯‰22 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 +- Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - nude.py (πŸ₯‰21 Β· ⭐ 910 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰19 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT -- Caer (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- HugsVision (πŸ₯‰15 Β· ⭐ 180 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface +- Caer (πŸ₯‰17 Β· ⭐ 710 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT +- HugsVision (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface - Torch Points 3D (πŸ₯‰14 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2920,7 +2916,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 3K Β· πŸ“₯ 65 Β· πŸ“¦ 180K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 3K Β· πŸ“₯ 65 Β· πŸ“¦ 180K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/networkx/networkx @@ -2936,24 +2932,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (πŸ₯‡39 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.9K Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 17% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.9K Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 17% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 95K / month Β· πŸ“¦ 67 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 110K / month Β· πŸ“¦ 74 Β· ⏱️ 15.08.2023): ``` pip install dgl ```
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.2K - 25% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 190K / month Β· πŸ“¦ 95 Β· ⏱️ 27.04.2023): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 200K / month Β· πŸ“¦ 99 Β· ⏱️ 27.04.2023): ``` pip install torch-geometric ``` @@ -2985,43 +2981,43 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7.7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ```
pygraphistry (πŸ₯ˆ28 Β· ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 94 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 96 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.3K / month Β· πŸ“¦ 5 Β· ⏱️ 19.07.2023): ``` pip install graphistry ```
Paddle Graph Learning (πŸ₯ˆ27 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 44 Β· πŸ“‹ 200 - 40% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 45 Β· πŸ“‹ 200 - 40% open Β· ⏱️ 04.08.2023): ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 03.08.2022): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.08.2022): ``` pip install pgl ```
AmpliGraph (πŸ₯ˆ26 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 41 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 42 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 620 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 520 / month Β· ⏱️ 25.05.2021): ``` pip install ampligraph ``` @@ -3033,31 +3029,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
PyKEEN (πŸ₯ˆ25 Β· ⭐ 1.3K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“₯ 170 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 170 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.2K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ```
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.1K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 230 Β· πŸ“¦ 440 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 19.10.2022): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 440 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 19.10.2022): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 150K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 130K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3073,19 +3069,19 @@ _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“₯ 320K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 310K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): ``` pip install torchbiggraph ```
graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 4 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): +- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 10 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): ``` git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.6K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.5K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): ``` pip install graph-nets ``` @@ -3097,7 +3093,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/deepmind/jraph ``` -- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 8.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 8.1K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): ``` pip install jraph ``` @@ -3106,7 +3102,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge jraph ```
-
torch-cluster (πŸ₯‰22 Β· ⭐ 670) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
torch-cluster (πŸ₯‰22 Β· ⭐ 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 19% open Β· ⏱️ 05.06.2023): @@ -3129,19 +3125,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 130 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 120 / month Β· ⏱️ 20.01.2022): ``` pip install graph4nlp ```
-
deepsnap (πŸ₯‰20 Β· ⭐ 490) - Python library assists deep learning on graphs. MIT +
deepsnap (πŸ₯‰20 Β· ⭐ 500) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 51 Β· πŸ“₯ 10 Β· πŸ“¦ 62 Β· πŸ“‹ 44 - 45% open Β· ⏱️ 27.03.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 51 Β· πŸ“₯ 10 Β· πŸ“¦ 63 Β· πŸ“‹ 44 - 45% open Β· ⏱️ 27.03.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 500 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3153,7 +3149,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 77 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 75 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ``` @@ -3186,9 +3182,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenNE ```
-
AutoGL (πŸ₯‰15 Β· ⭐ 940 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 +
AutoGL (πŸ₯‰15 Β· ⭐ 950 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 30 - 30% open Β· ⏱️ 30.12.2022): +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 30.12.2022): ``` git clone https://github.com/THUMNLab/AutoGL @@ -3202,9 +3198,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - igraph (πŸ₯‡33 Β· ⭐ 1.1K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- pygal (πŸ₯ˆ28 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - DIG (πŸ₯ˆ24 Β· ⭐ 1.6K) - A library for graph deep learning research. ❗️GPL-3.0 -- Karate Club (πŸ₯‰22 Β· ⭐ 1.9K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- Karate Club (πŸ₯‰22 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DeepWalk (πŸ₯‰21 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 220) - Python Implementation and Extension of RDF2Vec. MIT - Sematch (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 @@ -3225,59 +3221,59 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡38 Β· ⭐ 6.9K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 210 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 220 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 31K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): ``` pip install espnet ```
speechbrain (πŸ₯‡38 Β· ⭐ 6.4K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 880 Β· πŸ“‹ 970 - 17% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 890 Β· πŸ“‹ 980 - 17% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 180K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 200K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): ``` pip install speechbrain ```
torchaudio (πŸ₯‡35 Β· ⭐ 2.2K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 590 Β· πŸ“‹ 920 - 26% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 590 Β· πŸ“‹ 920 - 26% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.1M / month Β· πŸ“¦ 350 Β· ⏱️ 08.05.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.2M / month Β· πŸ“¦ 350 Β· ⏱️ 08.05.2023): ``` pip install torchaudio ```
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 14K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.2M Β· πŸ“‹ 680 - 5% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.2M Β· πŸ“‹ 680 - 5% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 32K / month Β· πŸ“¦ 14 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 33K / month Β· πŸ“¦ 15 Β· ⏱️ 13.08.2023): ``` pip install tts ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tts ```
Pydub (πŸ₯ˆ34 Β· ⭐ 7.5K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 950 Β· πŸ“¦ 34K Β· πŸ“‹ 570 - 53% open Β· ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 950 Β· πŸ“¦ 35K Β· πŸ“‹ 570 - 53% open Β· ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub @@ -3286,46 +3282,46 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 60K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 61K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ```
-
SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.4K) - Speech recognition module for Python, supporting several.. BSD-3 +
librosa (πŸ₯ˆ34 Β· ⭐ 6.1K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 4 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/Uberi/speech_recognition + git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 440K / month Β· πŸ“¦ 790 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.08.2023): ``` - pip install SpeechRecognition + pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 170K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 680K Β· ⏱️ 16.08.2023): ``` - conda install -c conda-forge speechrecognition + conda install -c conda-forge librosa ```
-
librosa (πŸ₯ˆ33 Β· ⭐ 6.1K) - Python library for audio and music analysis. ISC +
SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 7.4K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 890 Β· πŸ“‹ 1.1K - 3% open Β· ⏱️ 14.07.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 10 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): ``` - git clone https://github.com/librosa/librosa + git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 17.03.2023): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 450K / month Β· πŸ“¦ 790 Β· ⏱️ 04.12.2022): ``` - pip install librosa + pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 680K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 170K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge librosa + conda install -c conda-forge speechrecognition ```
spleeter (πŸ₯ˆ31 Β· ⭐ 23K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“₯ 2.5M Β· πŸ“¦ 560 Β· πŸ“‹ 760 - 26% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“₯ 2.6M Β· πŸ“¦ 560 Β· πŸ“‹ 760 - 26% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3346,31 +3342,43 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.2K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): ``` pip install magenta ```
-
audiomentations (πŸ₯ˆ29 Β· ⭐ 1.5K Β· πŸ“ˆ) - A Python library for audio data augmentation. Inspired by.. MIT +
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 320 Β· πŸ“‹ 160 - 25% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 320 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 21K / month Β· πŸ“¦ 5 Β· ⏱️ 15.08.2023): ``` pip install audiomentations ```
+
Porcupine (πŸ₯ˆ29 Β· ⭐ 3.1K) - On-device wake word detection powered by deep learning. Apache-2 + +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 16.08.2023): + + ``` + git clone https://github.com/Picovoice/Porcupine + ``` +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.4K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): + ``` + pip install pvporcupine + ``` +
audioread (πŸ₯ˆ29 Β· ⭐ 440 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 14K Β· πŸ“‹ 88 - 40% open Β· ⏱️ 18.11.2022): +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 15K Β· πŸ“‹ 88 - 40% open Β· ⏱️ 18.11.2022): ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1M / month Β· πŸ“¦ 350 Β· ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.1M / month Β· πŸ“¦ 360 Β· ⏱️ 12.08.2022): ``` pip install audioread ``` @@ -3381,31 +3389,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.4K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“¦ 370 Β· πŸ“‹ 310 - 60% open Β· ⏱️ 18.09.2022): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“¦ 380 Β· πŸ“‹ 310 - 60% open Β· ⏱️ 18.09.2022): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 15K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
-
Porcupine (πŸ₯‰28 Β· ⭐ 3.1K) - On-device wake word detection powered by deep learning. Apache-2 - -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 440 Β· πŸ“¦ 21 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 09.08.2023): - - ``` - git clone https://github.com/Picovoice/Porcupine - ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.3K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): - ``` - pip install pvporcupine - ``` -
tinytag (πŸ₯‰28 Β· ⭐ 610) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 830 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 830 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/devsnd/tinytag @@ -3422,7 +3418,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3431,6 +3427,22 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
+
DeepSpeech (πŸ₯‰24 Β· ⭐ 22K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.8K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 19K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.1K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge deepspeech + ``` +
python-soundfile (πŸ₯‰24 Β· ⭐ 580) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 93 Β· πŸ“₯ 16K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 24.03.2023): @@ -3438,7 +3450,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.4M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.5M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3454,36 +3466,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 4.1K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ```
Julius (πŸ₯‰20 Β· ⭐ 360 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 25 Β· πŸ“¦ 520 Β· πŸ“‹ 11 - 18% open Β· ⏱️ 19.09.2022): +- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 24 Β· πŸ“¦ 540 Β· πŸ“‹ 11 - 18% open Β· ⏱️ 19.09.2022): ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 160K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 170K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): ``` pip install julius ```
-
Show 11 hidden projects... +
Show 10 hidden projects... -- DeepSpeech (πŸ₯ˆ34 Β· ⭐ 23K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - aubio (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 -- Essentia (πŸ₯‰28 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- Essentia (πŸ₯‰27 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (πŸ₯‰26 Β· ⭐ 1.1K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT -- TTS (πŸ₯‰23 Β· ⭐ 7.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- Dejavu (πŸ₯‰22 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT +- TTS (πŸ₯‰24 Β· ⭐ 7.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- Dejavu (πŸ₯‰23 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT +- kapre (πŸ₯‰22 Β· ⭐ 890 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 350) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC -- textlesslib (πŸ₯‰9 Β· ⭐ 420 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT +- textlesslib (πŸ₯‰10 Β· ⭐ 430 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT

@@ -3495,7 +3506,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2K Β· πŸ“¦ 6.3K Β· πŸ“‹ 2.7K - 8% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2K Β· πŸ“¦ 6.4K Β· πŸ“‹ 2.7K - 8% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/visgl/deck.gl @@ -3508,7 +3519,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 460K / month Β· πŸ“¦ 470 Β· ⏱️ 03.08.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 470 Β· ⏱️ 03.08.2023): ``` npm install deck.gl ``` @@ -3520,7 +3531,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.6K Β· ⏱️ 06.06.2023): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.6K Β· ⏱️ 06.06.2023): ``` pip install geopandas ``` @@ -3531,7 +3542,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡38 Β· ⭐ 6.4K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 28K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 28K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/python-visualization/folium @@ -3547,7 +3558,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (πŸ₯ˆ37 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 8.4K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 8.5K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/rasterio/rasterio @@ -3563,7 +3574,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (πŸ₯ˆ36 Β· ⭐ 3.4K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.2K Β· πŸ“¦ 50K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.3K Β· πŸ“¦ 50K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 30.07.2023): ``` git clone https://github.com/shapely/shapely @@ -3579,12 +3590,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (πŸ₯ˆ36 Β· ⭐ 910) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 22K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 23K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.2M / month Β· πŸ“¦ 1.9K Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.3M / month Β· πŸ“¦ 1.9K Β· ⏱️ 12.06.2023): ``` pip install pyproj ``` @@ -3600,7 +3611,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 4K Β· ⏱️ 13.11.2022): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4M / month Β· πŸ“¦ 4K Β· ⏱️ 13.11.2022): ``` pip install geopy ``` @@ -3609,14 +3620,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geopy ```
-
Fiona (πŸ₯ˆ34 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ33 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 200 Β· πŸ“¦ 14K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 200 Β· πŸ“¦ 14K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.7M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.8M / month Β· πŸ“¦ 870 Β· ⏱️ 23.05.2023): ``` pip install fiona ``` @@ -3625,9 +3636,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge fiona ```
-
ipyleaflet (πŸ₯‰32 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT +
ipyleaflet (πŸ₯ˆ32 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 350 Β· πŸ“¦ 4.9K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 02.06.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 350 Β· πŸ“¦ 5K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 02.06.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet @@ -3640,19 +3651,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 52K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 48K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): ``` npm install jupyter-leaflet ```
ArcGIS API (πŸ₯‰31 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1K Β· πŸ“₯ 8.8K Β· πŸ“‹ 640 - 9% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1K Β· πŸ“₯ 8.9K Β· πŸ“¦ 2 Β· πŸ“‹ 640 - 9% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 85K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 83K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): ``` pip install arcgis ``` @@ -3663,28 +3674,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geojson (πŸ₯‰29 Β· ⭐ 830) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 13K Β· πŸ“‹ 96 - 25% open Β· ⏱️ 28.05.2023): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 14K Β· πŸ“‹ 97 - 25% open Β· ⏱️ 28.05.2023): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.01.2023): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 730K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 740K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge geojson ```
-
GeoViews (πŸ₯‰28 Β· ⭐ 500) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰28 Β· ⭐ 510) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 71 Β· πŸ“¦ 730 Β· πŸ“‹ 330 - 33% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7.6K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7.4K / month Β· πŸ“¦ 34 Β· ⏱️ 20.07.2023): ``` pip install geoviews ``` @@ -3700,7 +3711,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3732,7 +3743,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 66K / month Β· πŸ“¦ 20 Β· ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 64K / month Β· πŸ“¦ 20 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` @@ -3743,7 +3754,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... -- Geocoder (πŸ₯ˆ33 Β· ⭐ 1.5K Β· πŸ’€) - Python Geocoder. MIT +- Geocoder (πŸ₯ˆ32 Β· ⭐ 1.5K Β· πŸ’€) - Python Geocoder. MIT - Satpy (πŸ₯‰30 Β· ⭐ 940) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰28 Β· ⭐ 910) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰24 Β· ⭐ 750 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 @@ -3761,12 +3772,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡39 Β· ⭐ 10K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.9K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 15% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 2K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 870K / month Β· πŸ“¦ 250 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1M / month Β· πŸ“¦ 260 Β· ⏱️ 13.08.2023): ``` pip install yfinance ``` @@ -3775,14 +3786,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
-
Qlib (πŸ₯ˆ30 Β· ⭐ 12K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯ˆ31 Β· ⭐ 12K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 4 Β· πŸ“‹ 780 - 29% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 10 Β· πŸ“‹ 780 - 28% open Β· ⏱️ 04.08.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ``` @@ -3794,11 +3805,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 34K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 32K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 4.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ``` @@ -3810,11 +3821,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 60K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 58K / month Β· πŸ“¦ 43 Β· ⏱️ 23.08.2022): ``` pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ta ``` @@ -3853,23 +3864,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ffn (πŸ₯ˆ29 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 350 Β· πŸ“‹ 120 - 17% open Β· ⏱️ 28.05.2023): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 350 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 28.05.2023): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 210K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 250K / month Β· πŸ“¦ 29 Β· ⏱️ 21.04.2021): ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 4.9K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.1K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge ffn ```
stockstats (πŸ₯‰28 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 280 Β· πŸ“¦ 900 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 280 Β· πŸ“¦ 910 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 30.07.2023): ``` git clone https://github.com/jealous/stockstats @@ -3886,7 +3897,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3897,24 +3908,24 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
FinQuant (πŸ₯‰25 Β· ⭐ 1K) - A program for financial portfolio management, analysis and optimisation. MIT -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 79 Β· πŸ“‹ 48 - 39% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 79 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.9K / month Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.6K / month Β· ⏱️ 17.08.2023): ``` pip install FinQuant ```
PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.1K) - Python Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.3K Β· πŸ“¦ 160 Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.3K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 650 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 600 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -3938,19 +3949,19 @@ _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· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 180 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ```
-
tf-quant-finance (πŸ₯‰20 Β· ⭐ 4K) - High-performance TensorFlow library for quantitative.. Apache-2 +
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 530 Β· πŸ“‹ 64 - 56% open Β· ⏱️ 08.06.2023): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 530 Β· πŸ“‹ 64 - 56% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3961,13 +3972,13 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - pyfolio (πŸ₯‡32 Β· ⭐ 5.1K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - arch (πŸ₯ˆ31 Β· ⭐ 1.1K) - ARCH models in Python. ❗️NCSA - backtrader (πŸ₯ˆ29 Β· ⭐ 11K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- empyrical (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- empyrical (πŸ₯‰27 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰22 Β· ⭐ 4K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (πŸ₯‰12 Β· ⭐ 1.6K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 -- pyrtfolio (πŸ₯‰9 Β· ⭐ 130 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0 +- pyrtfolio (πŸ₯‰8 Β· ⭐ 130 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0

@@ -3979,7 +3990,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 6.7K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 33% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/alan-turing-institute/sktime @@ -3988,14 +3999,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 760K Β· ⏱️ 22.07.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 790K Β· ⏱️ 22.07.2023): ``` conda install -c conda-forge sktime-all-extras ```
Prophet (πŸ₯‡36 Β· ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.9K Β· πŸ“¦ 4 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 07.07.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.9K Β· πŸ“¦ 10 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 07.07.2023): ``` git clone https://github.com/facebook/prophet @@ -4004,7 +4015,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install fbprophet ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 950K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 970K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge prophet ``` @@ -4016,7 +4027,7 @@ _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“₯ 260K / month Β· πŸ“¦ 43 Β· ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 270K / month Β· πŸ“¦ 43 Β· ⏱️ 20.01.2023): ``` pip install tslearn ``` @@ -4036,14 +4047,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 850K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 880K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pmdarima ```
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.1K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 430 Β· πŸ“¦ 280 Β· πŸ“‹ 480 - 10% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 430 Β· πŸ“¦ 280 Β· πŸ“‹ 480 - 10% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/ourownstory/neural_prophet @@ -4053,41 +4064,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install neuralprophet ```
-
StatsForecast (πŸ₯ˆ32 Β· ⭐ 2.8K) - Lightning fast forecasting with statistical and econometric.. Apache-2 - -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“¦ 390 Β· πŸ“‹ 200 - 41% open Β· ⏱️ 07.08.2023): - - ``` - git clone https://github.com/Nixtla/statsforecast - ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 480K / month Β· πŸ“¦ 16 Β· ⏱️ 28.02.2023): - ``` - pip install statsforecast - ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 45K Β· ⏱️ 18.06.2023): - ``` - conda install -c conda-forge statsforecast - ``` -
tsfresh (πŸ₯ˆ31 Β· ⭐ 7.6K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“¦ 4 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“¦ 10 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 03.08.2023): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 72 Β· ⏱️ 21.12.2021): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 260K / month Β· πŸ“¦ 72 Β· ⏱️ 21.12.2021): ``` pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.1M Β· ⏱️ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.2M Β· ⏱️ 30.07.2023): ``` conda install -c conda-forge tsfresh ```
Darts (πŸ₯ˆ31 Β· ⭐ 6.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 700 Β· πŸ“¦ 340 Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 700 Β· πŸ“¦ 340 Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/unit8co/darts @@ -4096,7 +4091,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 33K Β· ⏱️ 07.08.2023): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 34K Β· ⏱️ 07.08.2023): ``` conda install -c conda-forge u8darts-all ``` @@ -4107,23 +4102,39 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.7K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 870 - 30% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 870 - 30% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 310K / month Β· πŸ“¦ 12 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 280K / month Β· πŸ“¦ 12 Β· ⏱️ 07.08.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 430 Β· ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 450 Β· ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
+
StatsForecast (πŸ₯ˆ31 Β· ⭐ 2.8K) - Lightning fast forecasting with statistical and econometric.. Apache-2 + +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“¦ 410 Β· πŸ“‹ 210 - 41% open Β· ⏱️ 16.08.2023): + + ``` + git clone https://github.com/Nixtla/statsforecast + ``` +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 440K / month Β· πŸ“¦ 16 Β· ⏱️ 28.02.2023): + ``` + pip install statsforecast + ``` +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 46K Β· ⏱️ 18.06.2023): + ``` + conda install -c conda-forge statsforecast + ``` +
STUMPY (πŸ₯ˆ31 Β· ⭐ 2.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 510 Β· πŸ“‹ 460 - 13% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 510 Β· πŸ“‹ 460 - 13% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/TDAmeritrade/stumpy @@ -4132,7 +4143,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 800K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 820K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge stumpy ``` @@ -4144,32 +4155,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 66K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 48K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 49K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch-forecasting ```
-
NeuralForecast (πŸ₯ˆ29 Β· ⭐ 1.7K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
NeuralForecast (πŸ₯ˆ28 Β· ⭐ 1.7K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“¦ 31 Β· πŸ“‹ 320 - 21% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“¦ 35 Β· πŸ“‹ 330 - 22% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 8.6K / month Β· πŸ“¦ 3 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 8K / month Β· πŸ“¦ 3 Β· ⏱️ 16.08.2023): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 9.2K Β· ⏱️ 16.08.2023): ``` conda install -c conda-forge neuralforecast ```
-
pyts (πŸ₯‰28 Β· ⭐ 1.5K) - A Python package for time series classification. BSD-3 +
pyts (πŸ₯ˆ28 Β· ⭐ 1.6K) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 440 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): @@ -4192,7 +4203,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 18K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4219,14 +4230,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
greykite (πŸ₯‰23 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 97 Β· πŸ“₯ 4 Β· πŸ“¦ 20 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 97 Β· πŸ“₯ 4 Β· πŸ“¦ 20 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): + + ``` + git clone https://github.com/linkedin/greykite + ``` +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 16K / month Β· ⏱️ 15.07.2022): + ``` + pip install greykite + ``` +
+
TSFEL (πŸ₯‰23 Β· ⭐ 710) - An intuitive library to extract features from time series. BSD-3 + +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 92 Β· πŸ“‹ 78 - 24% open Β· ⏱️ 02.03.2023): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 15K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 24K / month Β· ⏱️ 14.02.2021): ``` - pip install greykite + pip install tsfel ```
luminol (πŸ₯‰22 Β· ⭐ 1.1K) - Anomaly Detection and Correlation library. Apache-2 @@ -4241,18 +4264,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install luminol ```
-
TSFEL (πŸ₯‰22 Β· ⭐ 710) - An intuitive library to extract features from time series. BSD-3 - -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 92 Β· πŸ“‹ 66 - 28% open Β· ⏱️ 02.03.2023): - - ``` - git clone https://github.com/fraunhoferportugal/tsfel - ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 26K / month Β· ⏱️ 14.02.2021): - ``` - pip install tsfel - ``` -
seglearn (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 64 Β· πŸ“¦ 44 Β· πŸ“‹ 29 - 17% open Β· ⏱️ 27.08.2022): @@ -4272,7 +4283,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 840 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4284,11 +4295,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 36K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 33K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ```
+
Auto TS (πŸ₯‰18 Β· ⭐ 600) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 + +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· ⏱️ 17.05.2023): + + ``` + git clone https://github.com/AutoViML/Auto_TS + ``` +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4.5K / month Β· ⏱️ 16.08.2022): + ``` + pip install auto-ts + ``` +
tsflex (πŸ₯‰18 Β· ⭐ 310) - Flexible time series feature extraction & processing. MIT - [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 21 Β· πŸ“¦ 7 Β· πŸ“‹ 44 - 59% open Β· ⏱️ 29.07.2023): @@ -4296,7 +4319,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 270 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 320 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4305,25 +4328,13 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
-
Auto TS (πŸ₯‰17 Β· ⭐ 600) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· ⏱️ 17.05.2023): - - ``` - git clone https://github.com/AutoViML/Auto_TS - ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4.4K / month Β· ⏱️ 16.08.2022): - ``` - pip install auto-ts - ``` -
Show 6 hidden projects... - PyFlux (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰20 Β· ⭐ 960 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰15 Β· ⭐ 490 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- tsaug (πŸ₯‰14 Β· ⭐ 310 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 +- tsaug (πŸ₯‰13 Β· ⭐ 310 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 48 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4336,44 +4347,44 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡38 Β· ⭐ 2.3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.9K Β· πŸ“‹ 4.5K - 11% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.9K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 72K / month Β· πŸ“¦ 260 Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 78K / month Β· πŸ“¦ 270 Β· ⏱️ 15.08.2023): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 320K Β· ⏱️ 06.06.2023): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 320K Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge mne ```
MONAI (πŸ₯‡36 Β· ⭐ 4.6K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 850 Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 860 Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 77K / month Β· πŸ“¦ 42 Β· ⏱️ 13.06.2022): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 80K / month Β· πŸ“¦ 42 Β· ⏱️ 13.06.2022): ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 16K Β· ⏱️ 08.06.2023): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 17K Β· ⏱️ 08.06.2023): ``` conda install -c conda-forge monai ```
Nilearn (πŸ₯ˆ35 Β· ⭐ 1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 530 Β· πŸ“₯ 130 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 530 Β· πŸ“₯ 130 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 29K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 27K / month Β· πŸ“¦ 280 Β· ⏱️ 28.04.2023): ``` pip install nilearn ``` @@ -4384,7 +4395,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (πŸ₯ˆ35 Β· ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 31.07.2023): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 31.07.2023): ``` git clone https://github.com/nipy/nipype @@ -4405,7 +4416,7 @@ _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“₯ 330K / month Β· πŸ“¦ 120 Β· ⏱️ 01.05.2023): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 340K / month Β· πŸ“¦ 120 Β· ⏱️ 01.05.2023): ``` pip install lifelines ``` @@ -4416,46 +4427,46 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ33 Β· ⭐ 880) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 20K / month Β· πŸ“¦ 15 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 17K / month Β· πŸ“¦ 15 Β· ⏱️ 27.07.2023): ``` pip install hail ```
-
NiBabel (πŸ₯ˆ33 Β· ⭐ 570) - Python package to access a cacophony of neuro-imaging file formats. MIT +
DIPY (πŸ₯ˆ33 Β· ⭐ 610) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 12K Β· πŸ“‹ 500 - 24% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 850 Β· πŸ“‹ 860 - 17% open Β· ⏱️ 14.08.2023): ``` - git clone https://github.com/nipy/nibabel + git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 280K / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.04.2023): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): ``` - pip install nibabel + pip install dipy ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 610K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dipy) (πŸ“₯ 400K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge nibabel + conda install -c conda-forge dipy ```
-
DIPY (πŸ₯ˆ32 Β· ⭐ 610) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 +
NiBabel (πŸ₯ˆ33 Β· ⭐ 570) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 850 Β· πŸ“‹ 860 - 17% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 13K Β· πŸ“‹ 500 - 24% open Β· ⏱️ 06.08.2023): ``` - git clone https://github.com/dipy/dipy + git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 270K / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.04.2023): ``` - pip install dipy + pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/dipy) (πŸ“₯ 400K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 620K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge dipy + conda install -c conda-forge nibabel ```
DeepVariant (πŸ₯‰24 Β· ⭐ 2.9K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 @@ -4465,7 +4476,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ``` @@ -4477,7 +4488,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.3K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.5K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4489,14 +4500,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 9 hidden projects... - NiftyNet (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 -- MedPy (πŸ₯‰23 Β· ⭐ 490 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 -- Brainiak (πŸ₯‰21 Β· ⭐ 310 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 +- MedPy (πŸ₯‰23 Β· ⭐ 500 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 - Glow (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 +- Brainiak (πŸ₯‰20 Β· ⭐ 310 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 820 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 -- DeepNeuro (πŸ₯‰14 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰13 Β· ⭐ 1.7K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT +- DeepNeuro (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT

@@ -4508,19 +4519,19 @@ _Libraries for processing tabular and structured data._
carefree-learn (πŸ₯ˆ21 Β· ⭐ 400) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 930 / month Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 790 / month Β· ⏱️ 14.08.2023): ``` pip install carefree-learn ```
pytorch_tabular (πŸ₯‰20 Β· ⭐ 1K) - A standard framework for modelling Deep Learning Models for.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 100 Β· πŸ“₯ 18 Β· πŸ“‹ 110 - 11% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 110 Β· πŸ“₯ 18 Β· πŸ“‹ 110 - 11% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/manujosephv/pytorch_tabular @@ -4532,7 +4543,7 @@ _Libraries for processing tabular and structured data._
Show 3 hidden projects... -- miceforest (πŸ₯‡22 Β· ⭐ 250 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT +- miceforest (πŸ₯‡22 Β· ⭐ 260 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT - upgini (πŸ₯‰19 Β· ⭐ 240) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 510 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
@@ -4544,38 +4555,38 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡38 Β· ⭐ 32K Β· πŸ“ˆ) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
PaddleOCR (πŸ₯‡37 Β· ⭐ 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.7K Β· πŸ“‹ 7.9K - 8% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 6.4K Β· πŸ“¦ 1.7K Β· πŸ“‹ 7.8K - 7% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 62K / month Β· πŸ“¦ 27 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 63K / month): ``` pip install paddleocr ```
-
EasyOCR (πŸ₯‡35 Β· ⭐ 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
EasyOCR (πŸ₯‡34 Β· ⭐ 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“₯ 5.7M Β· πŸ“¦ 3.4K Β· πŸ“‹ 860 - 32% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“₯ 5.8M Β· πŸ“¦ 3.5K Β· πŸ“‹ 860 - 32% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 120K / month Β· πŸ“¦ 67 Β· ⏱️ 20.09.2022): ``` pip install easyocr ```
-
OCRmyPDF (πŸ₯ˆ32 Β· ⭐ 9.5K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 9.6K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 750 Β· πŸ“¦ 580 Β· πŸ“‹ 990 - 10% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 750 Β· πŸ“₯ 43 Β· πŸ“¦ 580 Β· πŸ“‹ 990 - 10% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 36K / month Β· πŸ“¦ 17 Β· ⏱️ 20.06.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 12.08.2023): ``` pip install ocrmypdf ``` @@ -4584,30 +4595,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
-
Tesseract (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 650 Β· πŸ“‹ 340 - 8% open Β· ⏱️ 03.08.2023): - - ``` - git clone https://github.com/madmaze/pytesseract - ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.08.2022): - ``` - pip install pytesseract - ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pytesseract - ``` -
tesserocr (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 37 Β· πŸ“¦ 860 Β· πŸ“‹ 260 - 29% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 39 Β· πŸ“¦ 870 Β· πŸ“‹ 260 - 29% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 51K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 57K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): ``` pip install tesserocr ``` @@ -4616,18 +4611,34 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
-
MMOCR (πŸ₯‰28 Β· ⭐ 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯ˆ28 Β· ⭐ 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 660 Β· πŸ“¦ 69 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 660 Β· πŸ“¦ 71 Β· πŸ“‹ 860 - 15% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 6.4K / month): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
+
Tesseract (πŸ₯‰27 Β· ⭐ 5K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 + +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 650 Β· πŸ“‹ 340 - 8% open Β· ⏱️ 03.08.2023): + + ``` + git clone https://github.com/madmaze/pytesseract + ``` +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.2M / month): + ``` + pip install pytesseract + ``` +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pytesseract + ``` +
keras-ocr (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT - [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 610K Β· πŸ“¦ 290 Β· πŸ“‹ 200 - 43% open Β· ⏱️ 24.12.2022): @@ -4635,7 +4646,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 9.1K / month Β· πŸ“¦ 5 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 24.12.2022): ``` pip install keras-ocr ``` @@ -4644,14 +4655,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ```
-
calamari (πŸ₯‰20 Β· ⭐ 990 Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰22 Β· ⭐ 990 Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 22.11.2022): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.5K / month): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.4K / month Β· πŸ“¦ 5 Β· ⏱️ 28.02.2022): ``` pip install calamari_ocr ``` @@ -4720,23 +4731,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 Β· ⭐ 27K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 4.7K Β· πŸ“₯ 86 Β· πŸ“¦ 11K Β· πŸ“‹ 15K - 21% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 4.7K Β· πŸ“₯ 86 Β· πŸ“¦ 11K Β· πŸ“‹ 15K - 20% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.1M / month Β· πŸ“¦ 390 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.2M / month Β· πŸ“¦ 400 Β· ⏱️ 15.08.2023): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 150K Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 160K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 52K Β· πŸ“‹ 5K - 18% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 52K Β· πŸ“‹ 5K - 18% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/dask/dask @@ -4745,19 +4756,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 9.7M Β· ⏱️ 05.08.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 9.8M Β· ⏱️ 05.08.2023): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡41 Β· ⭐ 28K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.3K Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.1K - 46% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.4K Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.1K - 44% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 490K / month Β· πŸ“¦ 58 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 510K / month Β· πŸ“¦ 61 Β· ⏱️ 17.07.2023): ``` pip install deepspeed ``` @@ -4768,12 +4779,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 30K Β· πŸ“‹ 3.6K - 38% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 30K Β· πŸ“‹ 3.6K - 38% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 5.6M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.08.2023): ``` pip install distributed ``` @@ -4782,9 +4793,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge distributed ```
-
horovod (πŸ₯ˆ37 Β· ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 +
horovod (πŸ₯ˆ37 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“¦ 970 Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 26.06.2023): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 980 Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 26.06.2023): ``` git clone https://github.com/horovod/horovod @@ -4796,24 +4807,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.4K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 4 Β· πŸ“‹ 9.1K - 29% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 10 Β· πŸ“‹ 9.1K - 29% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 360K / month Β· πŸ“¦ 81 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 350K / month Β· πŸ“¦ 81 Β· ⏱️ 25.07.2023): ``` pip install h2o ```
BigDL (πŸ₯ˆ35 Β· ⭐ 4.3K) - Fast, distributed, secure AI for Big Data. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2K - 39% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2K - 39% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.5K / month Β· πŸ“¦ 1 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): ``` pip install bigdl ``` @@ -4828,12 +4839,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (πŸ₯ˆ35 Β· ⭐ 1.6K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 320 Β· πŸ“₯ 3K Β· πŸ“¦ 14K Β· πŸ“‹ 660 - 6% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 320 Β· πŸ“₯ 3.3K Β· πŸ“¦ 14K Β· πŸ“‹ 670 - 6% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 11K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 9.5K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4844,7 +4855,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (πŸ₯ˆ32 Β· ⭐ 32K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.6K Β· πŸ“¦ 250 Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.6K Β· πŸ“¦ 250 Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4852,12 +4863,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 2.5K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 230 Β· πŸ“¦ 2.7K Β· πŸ“‹ 340 - 18% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 230 Β· πŸ“¦ 2.8K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 590K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 660K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4868,12 +4879,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.4K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 280K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 290K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): ``` pip install synapseml ``` @@ -4901,7 +4912,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 73K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 72K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): ``` pip install elephas ``` @@ -4912,7 +4923,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯‰28 Β· ⭐ 670) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 98 Β· πŸ“₯ 14K Β· πŸ“‹ 120 - 6% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 98 Β· πŸ“₯ 14K Β· πŸ“‹ 120 - 6% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/mpi4py/mpi4py @@ -4933,7 +4944,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 330K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 360K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4942,6 +4953,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge tensorflowonspark ```
+
Mesh (πŸ₯‰27 Β· ⭐ 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 + +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 840 Β· πŸ“‹ 110 - 87% open Β· ⏱️ 16.05.2023): + + ``` + git clone https://github.com/tensorflow/mesh + ``` +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 140K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): + ``` + pip install mesh-tensorflow + ``` +
petastorm (πŸ₯‰26 Β· ⭐ 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 130 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): @@ -4949,7 +4972,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 32K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 31K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` pip install petastorm ``` @@ -4961,35 +4984,23 @@ _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“₯ 9K / month Β· πŸ“¦ 5 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 9.5K / month Β· πŸ“¦ 5 Β· ⏱️ 23.07.2023): ``` pip install hivemind ```
-
Mesh (πŸ₯‰26 Β· ⭐ 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 840 Β· πŸ“‹ 110 - 87% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/tensorflow/mesh - ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 110K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): - ``` - pip install mesh-tensorflow - ``` -
-
Submit it (πŸ₯‰26 Β· ⭐ 920 Β· πŸ’€) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯‰25 Β· ⭐ 930) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.4K Β· πŸ“‹ 100 - 31% open Β· ⏱️ 28.09.2022): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.5K Β· πŸ“‹ 100 - 31% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 140K / month Β· πŸ“¦ 10 Β· ⏱️ 20.07.2022): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 150K / month Β· πŸ“¦ 10 Β· ⏱️ 20.07.2022): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge submitit ``` @@ -5001,14 +5012,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 960 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): ``` pip install analytics-zoo ```
MMLSpark (πŸ₯‰23 Β· ⭐ 4.4K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“‹ 700 - 44% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -5020,12 +5031,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
launchpad (πŸ₯‰22 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/deepmind/launchpad) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 33 Β· πŸ“¦ 60 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/deepmind/launchpad) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 33 Β· πŸ“¦ 63 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -5041,14 +5052,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.2K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 3.3K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ```
-
mesh-transformer-jax (πŸ₯‰17 Β· ⭐ 6K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 +
mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.1K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 860 Β· πŸ“¦ 4 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 860 Β· πŸ“¦ 10 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax @@ -5086,19 +5097,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (πŸ₯‡36 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 450 Β· πŸ“‹ 2K - 15% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 460 Β· πŸ“‹ 2K - 15% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 20K / month Β· πŸ“¦ 34 Β· ⏱️ 22.06.2022): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 22K / month Β· πŸ“¦ 34 Β· ⏱️ 22.06.2022): ``` pip install nni ```
Hyperopt (πŸ₯‡34 Β· ⭐ 6.8K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 11K Β· πŸ“‹ 650 - 53% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 12K Β· πŸ“‹ 650 - 53% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/hyperopt/hyperopt @@ -5112,14 +5123,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge hyperopt ```
-
featuretools (πŸ₯‡34 Β· ⭐ 6.7K) - An open source python library for automated feature engineering. BSD-3 +
featuretools (πŸ₯‡34 Β· ⭐ 6.8K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 840 Β· πŸ“¦ 1.4K Β· πŸ“‹ 960 - 17% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 840 Β· πŸ“¦ 1.4K Β· πŸ“‹ 960 - 17% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 80K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 83K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): ``` pip install featuretools ``` @@ -5130,56 +5141,44 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.1K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 520 Β· πŸ“‹ 600 - 12% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 530 Β· πŸ“‹ 590 - 8% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 140K / month Β· πŸ“¦ 23 Β· ⏱️ 26.06.2023): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 150K / month Β· πŸ“¦ 25 Β· ⏱️ 11.08.2023): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 12K Β· ⏱️ 27.06.2023): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 12K Β· ⏱️ 12.08.2023): ``` conda install -c conda-forge ax-platform ```
-
Bayesian Optimization (πŸ₯‡33 Β· ⭐ 6.9K) - A Python implementation of global optimization with.. MIT - -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 130 Β· πŸ“¦ 2K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 14.07.2023): - - ``` - git clone https://github.com/fmfn/BayesianOptimization - ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 200K / month Β· πŸ“¦ 100 Β· ⏱️ 25.04.2023): - ``` - pip install bayesian-optimization - ``` -
BoTorch (πŸ₯‡33 Β· ⭐ 2.7K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 330 Β· πŸ“¦ 630 Β· πŸ“‹ 430 - 15% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 330 Β· πŸ“¦ 640 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 30 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 80K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge botorch ```
AutoKeras (πŸ₯ˆ31 Β· ⭐ 8.9K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 530 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 21.06.2023): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 540 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 10K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 9.6K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): ``` pip install autokeras ``` @@ -5191,15 +5190,27 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 30K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 29K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` -- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 19K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge auto-sklearn ```
+
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 6.9K) - A Python implementation of global optimization with.. MIT + +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 130 Β· πŸ“¦ 2K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 14.07.2023): + + ``` + git clone https://github.com/fmfn/BayesianOptimization + ``` +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 200K / month Β· πŸ“¦ 100 Β· ⏱️ 25.04.2023): + ``` + pip install bayesian-optimization + ``` +
nevergrad (πŸ₯ˆ31 Β· ⭐ 3.5K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 340 Β· πŸ“¦ 520 Β· πŸ“‹ 290 - 45% open Β· ⏱️ 27.07.2023): @@ -5207,7 +5218,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 66K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 72K / month Β· πŸ“¦ 22 Β· ⏱️ 25.07.2023): ``` pip install nevergrad ``` @@ -5216,14 +5227,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ```
+
mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ“ˆ) - Python package for AutoML on Tabular Data with Feature.. MIT + +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 350 Β· πŸ“¦ 83 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 10.08.2023): + + ``` + git clone https://github.com/mljar/mljar-supervised + ``` +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): + ``` + pip install mljar-supervised + ``` +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 10K Β· ⏱️ 06.07.2023): + ``` + conda install -c conda-forge mljar-supervised + ``` +
Keras Tuner (πŸ₯ˆ30 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 370 Β· πŸ“¦ 2.6K Β· πŸ“‹ 450 - 43% open Β· ⏱️ 12.06.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 370 Β· πŸ“¦ 2.6K Β· πŸ“‹ 460 - 43% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 170K / month Β· πŸ“¦ 56 Β· ⏱️ 13.04.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 180K / month Β· πŸ“¦ 56 Β· ⏱️ 13.04.2023): ``` pip install keras-tuner ``` @@ -5234,108 +5261,92 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.1K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 17.08.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.6K Β· ⭐ 14 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.7K Β· ⭐ 14 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
-
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.7K) - Python package for AutoML on Tabular Data with Feature.. MIT +
lazypredict (πŸ₯ˆ26 Β· ⭐ 2.1K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 350 Β· πŸ“¦ 83 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 240 Β· πŸ“¦ 650 Β· πŸ“‹ 110 - 65% open Β· ⏱️ 28.09.2022): ``` - git clone https://github.com/mljar/mljar-supervised + git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7.7K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 27K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): ``` - pip install mljar-supervised + pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 10K Β· ⏱️ 06.07.2023): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 2.4K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge mljar-supervised + conda install -c conda-forge lazypredict ```
-
Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT +
Hyperas (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 320 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): +- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 310 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): ``` git clone https://github.com/maxpumperla/hyperas ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 12K / month Β· πŸ“¦ 24 Β· ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 11K / month): ``` pip install hyperas ```
-
lazypredict (πŸ₯ˆ26 Β· ⭐ 2.1K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 240 Β· πŸ“¦ 640 Β· πŸ“‹ 110 - 65% open Β· ⏱️ 28.09.2022): - - ``` - git clone https://github.com/shankarpandala/lazypredict - ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 27K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): - ``` - pip install lazypredict - ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 2.3K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge lazypredict - ``` -
-
GPyOpt (πŸ₯ˆ26 Β· ⭐ 890 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (πŸ₯ˆ25 Β· ⭐ 890 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 250 Β· πŸ“¦ 450 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 17.01.2023): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 8.3K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 8.1K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
-
Talos (πŸ₯ˆ23 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +
Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 270 Β· πŸ“¦ 160 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 18.09.2022): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 990 / month Β· πŸ“¦ 7 Β· ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 28.05.2022): ``` pip install talos ```
FEDOT (πŸ₯ˆ23 Β· ⭐ 550) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 75 Β· πŸ“¦ 39 Β· πŸ“‹ 470 - 19% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 76 Β· πŸ“¦ 40 Β· πŸ“‹ 470 - 19% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 810 / month): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ```
-
featurewiz (πŸ₯ˆ23 Β· ⭐ 450) - Use advanced feature engineering strategies and select best.. Apache-2 +
featurewiz (πŸ₯‰22 Β· ⭐ 450) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 73 Β· πŸ“¦ 47 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 30.05.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 73 Β· πŸ“¦ 48 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 30.05.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.2K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install featurewiz ``` @@ -5347,57 +5358,57 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 580 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 560 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): ``` pip install neuraxle ```
Hyperactive (πŸ₯‰21 Β· ⭐ 450) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 40 Β· πŸ“₯ 130 Β· πŸ“¦ 20 Β· πŸ“‹ 60 - 18% open Β· ⏱️ 23.07.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 40 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 60 - 18% open Β· ⏱️ 23.07.2023): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 920 / month Β· πŸ“¦ 5 Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 990 / month Β· πŸ“¦ 5 Β· ⏱️ 04.05.2022): ``` pip install hyperactive ```
-
Dragonfly (πŸ₯‰20 Β· ⭐ 790 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT +
igel (πŸ₯‰20 Β· ⭐ 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT -- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“‹ 59 - 66% open Β· ⏱️ 01.10.2022): +- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): ``` - git clone https://github.com/dragonfly/dragonfly + git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 33K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 230 / month Β· ⏱️ 19.11.2021): ``` - pip install dragonfly-opt + pip install igel ```
-
Auto ViML (πŸ₯‰20 Β· ⭐ 450) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
Dragonfly (πŸ₯‰20 Β· ⭐ 790 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 91 Β· πŸ“¦ 22 Β· πŸ“‹ 27 - 11% open Β· ⏱️ 21.05.2023): +- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“‹ 59 - 66% open Β· ⏱️ 01.10.2022): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 34K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): ``` - pip install autoviml + pip install dragonfly-opt ```
-
igel (πŸ₯‰19 Β· ⭐ 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT +
Auto ViML (πŸ₯‰19 Β· ⭐ 460) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 47 - 6% open Β· ⏱️ 08.04.2023): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 91 Β· πŸ“¦ 22 Β· πŸ“‹ 28 - 14% open Β· ⏱️ 21.05.2023): ``` - git clone https://github.com/nidhaloff/igel + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 120 / month): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 630 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` - pip install igel + pip install autoviml ```
AlphaPy (πŸ₯‰18 Β· ⭐ 950) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 @@ -5407,7 +5418,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 120 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 110 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5419,7 +5430,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 330 / month): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 270 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5441,9 +5452,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Optuna (πŸ₯‡39 Β· ⭐ 8.5K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.2K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.6K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 -- SMAC3 (πŸ₯ˆ26 Β· ⭐ 890) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- Orion (πŸ₯ˆ25 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 +- Orion (πŸ₯ˆ26 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - AdaNet (πŸ₯ˆ23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 +- SMAC3 (πŸ₯ˆ23 Β· ⭐ 890) - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter.. ❗Unlicensed - HpBandSter (πŸ₯ˆ23 Β· ⭐ 580 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause @@ -5452,12 +5463,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - optunity (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - sklearn-deap (πŸ₯‰20 Β· ⭐ 740 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT +- Sherpa (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 -- Sherpa (πŸ₯‰17 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT -- Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT +- Xcessiv (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - ENAS (πŸ₯‰14 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 @@ -5475,12 +5486,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
OpenAI Gym (πŸ₯‡40 Β· ⭐ 33K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT -- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 8.5K Β· πŸ“¦ 45K Β· πŸ“‹ 1.8K - 3% open Β· ⏱️ 30.01.2023): +- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 8.6K Β· πŸ“¦ 45K Β· πŸ“‹ 1.8K - 3% open Β· ⏱️ 30.01.2023): ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 390K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 380K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5496,67 +5507,55 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 290K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 310K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2019): ``` pip install tf-agents ```
-
ViZDoom (πŸ₯‡30 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
ViZDoom (πŸ₯‡29 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“₯ 12K Β· πŸ“¦ 200 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 24.07.2023): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“₯ 12K Β· πŸ“¦ 200 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 980 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 960 / month Β· πŸ“¦ 16 Β· ⏱️ 18.04.2022): ``` pip install vizdoom ```
-
FinRL (πŸ₯ˆ29 Β· ⭐ 7.9K) - FinRL: Financial Reinforcement Learning. MIT - -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.9K Β· πŸ“¦ 23 Β· πŸ“‹ 620 - 24% open Β· ⏱️ 09.08.2023): - - ``` - git clone https://github.com/AI4Finance-Foundation/FinRL - ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): - ``` - pip install finrl - ``` -
-
Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Dopamine (πŸ₯ˆ28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 4 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 10 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 36K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 34K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ```
-
TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
FinRL (πŸ₯ˆ28 Β· ⭐ 8K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.6K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 630 - 25% open Β· ⏱️ 13.08.2023): ``` - git clone https://github.com/tensorlayer/tensorlayer + git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.2K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): ``` - pip install tensorlayer + pip install finrl ```
Acme (πŸ₯ˆ27 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 400 Β· πŸ“¦ 160 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 400 Β· πŸ“¦ 160 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -5565,26 +5564,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst conda install -c conda-forge dm-acme ```
-
TensorForce (πŸ₯‰26 Β· ⭐ 3.2K Β· πŸ’€) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TensorLayer (πŸ₯ˆ26 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 540 Β· πŸ“¦ 420 Β· πŸ“‹ 660 - 4% open Β· ⏱️ 15.01.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.6K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): ``` - git clone https://github.com/tensorforce/tensorforce + git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 700 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): ``` - pip install tensorforce + pip install tensorlayer ```
-
PARL (πŸ₯‰25 Β· ⭐ 3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯ˆ26 Β· ⭐ 3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 500 - 20% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 630 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5596,26 +5595,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 580 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ```
RLax (πŸ₯‰25 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“¦ 150 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“¦ 150 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 180K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 170K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ```
Stable Baselines (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT -- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 940 - 13% open Β· ⏱️ 04.09.2022): +- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“‹ 950 - 13% open Β· ⏱️ 04.09.2022): ``` git clone https://github.com/hill-a/stable-baselines @@ -5632,11 +5631,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 27 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 25 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
+
TensorForce (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ“‰) - Tensorforce: a TensorFlow library for applied.. Apache-2 + +- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 540 Β· πŸ“‹ 660 - 4% open Β· ⏱️ 14.08.2023): + + ``` + git clone https://github.com/tensorforce/tensorforce + ``` +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): + ``` + pip install tensorforce + ``` +
PFRL (πŸ₯‰23 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“¦ 88 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): @@ -5644,7 +5655,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5656,14 +5667,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 120 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 99 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
rliable (πŸ₯‰12 Β· ⭐ 610) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 40 Β· πŸ“¦ 82 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 40 Β· πŸ“¦ 83 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): ``` git clone https://github.com/google-research/rliable @@ -5693,12 +5704,12 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 420 Β· πŸ“¦ 79 Β· πŸ“‹ 780 - 21% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 420 Β· πŸ“¦ 79 Β· πŸ“‹ 790 - 21% open Β· ⏱️ 05.07.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 50K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ``` @@ -5710,7 +5721,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 140K / month Β· πŸ“¦ 38 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 130K / month Β· πŸ“¦ 38 Β· ⏱️ 11.12.2022): ``` pip install implicit ``` @@ -5719,14 +5730,14 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge implicit ```
-
lightfm (πŸ₯ˆ31 Β· ⭐ 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 +
lightfm (πŸ₯ˆ30 Β· ⭐ 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 660 Β· πŸ“¦ 1.2K Β· πŸ“‹ 490 - 27% open Β· ⏱️ 30.04.2023): ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 450K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 430K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5742,7 +5753,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 130K / month Β· πŸ“¦ 13 Β· ⏱️ 01.02.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` pip install tensorflow_ranking ``` @@ -5754,14 +5765,14 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 390K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 360K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 5.9K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“¦ 4 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“¦ 10 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): ``` git clone https://github.com/NicolasHug/Surprise @@ -5775,42 +5786,42 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
-
Cornac (πŸ₯ˆ27 Β· ⭐ 730) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
torchrec (πŸ₯ˆ27 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 130 - 7% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 280 Β· πŸ“¦ 22 Β· πŸ“‹ 220 - 60% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/PreferredAI/cornac - ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 95K / month Β· πŸ“¦ 16 Β· ⏱️ 22.07.2023): - ``` - pip install cornac + git clone https://github.com/pytorch/torchrec ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 320K Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 91 / month Β· ⏱️ 12.05.2022): ``` - conda install -c conda-forge cornac + pip install torchrec-nightly-cpu ```
-
torchrec (πŸ₯‰26 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 +
Cornac (πŸ₯ˆ27 Β· ⭐ 740) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 280 Β· πŸ“‹ 220 - 59% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 130 - 7% open Β· ⏱️ 13.08.2023): ``` - git clone https://github.com/pytorch/torchrec + git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 310 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 97K / month Β· πŸ“¦ 16 Β· ⏱️ 22.07.2023): ``` - pip install torchrec-nightly-cpu + pip install cornac + ``` +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 320K Β· ⏱️ 25.07.2023): + ``` + conda install -c conda-forge cornac ```
-
RecBole (πŸ₯‰23 Β· ⭐ 2.8K) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯‰25 Β· ⭐ 2.8K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 520 Β· πŸ“‹ 760 - 17% open Β· ⏱️ 19.05.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 520 Β· πŸ“‹ 760 - 16% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): ``` pip install recbole ``` @@ -5826,7 +5837,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 9.8K / month Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 10K / month Β· ⏱️ 26.04.2022): ``` pip install recmetrics ``` @@ -5851,24 +5862,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡36 Β· ⭐ 8.9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.7K / month Β· πŸ“¦ 5 Β· ⏱️ 16.08.2023): ``` pip install syft ```
Opacus (πŸ₯ˆ28 Β· ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 98 Β· πŸ“¦ 640 Β· πŸ“‹ 250 - 26% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 99 Β· πŸ“¦ 640 Β· πŸ“‹ 250 - 26% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 28K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5879,50 +5890,50 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 54% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 54% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 16K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): ``` pip install tensorflow-privacy ```
-
FATE (πŸ₯‰25 Β· ⭐ 5.1K) - An Industrial Grade Federated Learning Framework. Apache-2 +
FATE (πŸ₯‰26 Β· ⭐ 5.2K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.8K - 43% open Β· ⏱️ 14.06.2023): ``` git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 2 / month Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 3 / month Β· ⏱️ 06.05.2020): ``` pip install ETAF ```
-
CrypTen (πŸ₯‰24 Β· ⭐ 1.3K) - A framework for Privacy Preserving Machine Learning. MIT +
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 30 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 29.04.2023): +- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 200 Β· πŸ“¦ 64 Β· πŸ“‹ 430 - 32% open Β· ⏱️ 08.02.2023): ``` - git clone https://github.com/facebookresearch/CrypTen + git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 250 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 310 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` - pip install crypten + pip install tf-encrypted ```
-
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +
CrypTen (πŸ₯‰23 Β· ⭐ 1.3K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 200 Β· πŸ“¦ 64 Β· πŸ“‹ 430 - 32% open Β· ⏱️ 08.02.2023): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 280 Β· πŸ“¦ 30 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 12.08.2023): ``` - git clone https://github.com/tf-encrypted/tf-encrypted + git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 250 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 270 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` - pip install tf-encrypted + pip install crypten ```
Show 1 hidden projects... @@ -5939,23 +5950,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 15K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 3.5K Β· πŸ“¦ 22K Β· πŸ“‹ 3.2K - 36% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 3.5K Β· πŸ“¦ 23K Β· πŸ“‹ 3.3K - 36% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 470 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 470 Β· ⏱️ 15.08.2023): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.4M Β· ⏱️ 18.07.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.4M Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡43 Β· ⭐ 6.3K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 180K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 180K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -5971,64 +5982,64 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 8.9K Β· πŸ“‹ 4.4K - 12% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 37K Β· πŸ“¦ 9K Β· πŸ“‹ 4.4K - 12% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 670K / month Β· πŸ“¦ 67 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 710K / month Β· πŸ“¦ 67 Β· ⏱️ 16.08.2023): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 10.08.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 12.08.2023): ``` conda install -c conda-forge dvc ```
wandb client (πŸ₯‡41 Β· ⭐ 7.1K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 530 Β· πŸ“¦ 27K Β· πŸ“‹ 2.7K - 25% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 530 Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 25% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 3.6M / month Β· πŸ“¦ 500 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 4.7M / month Β· πŸ“¦ 500 Β· ⏱️ 01.08.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 320K Β· ⏱️ 03.08.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 330K Β· ⏱️ 03.08.2023): ``` conda install -c conda-forge wandb ```
SageMaker SDK (πŸ₯ˆ38 Β· ⭐ 1.9K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1K Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.3K - 36% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 36% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 31M / month Β· πŸ“¦ 79 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 32M / month Β· πŸ“¦ 79 Β· ⏱️ 14.08.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 05.08.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 670K Β· ⏱️ 14.08.2023): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (πŸ₯ˆ37 Β· ⭐ 7.6K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 660 Β· πŸ“¦ 4.1K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 660 Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 250K / month Β· πŸ“¦ 14 Β· ⏱️ 06.06.2022): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 240K / month Β· πŸ“¦ 14 Β· ⏱️ 06.06.2022): ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 36K Β· ⏱️ 08.08.2023): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 37K Β· ⏱️ 08.08.2023): ``` conda install -c conda-forge pycaret ``` @@ -6051,16 +6062,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (πŸ₯ˆ35 Β· ⭐ 1.9K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 88K / month Β· πŸ“¦ 240 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 89K / month Β· πŸ“¦ 240 Β· ⏱️ 09.08.2023): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 820K Β· ⏱️ 10.08.2023): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 830K Β· ⏱️ 10.08.2023): ``` conda install -c bioconda snakemake ``` @@ -6079,12 +6090,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ33 Β· ⭐ 6.9K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 650 Β· πŸ“¦ 500 Β· πŸ“‹ 580 - 47% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 650 Β· πŸ“¦ 510 Β· πŸ“‹ 580 - 47% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 140K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 150K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2023): ``` pip install metaflow ``` @@ -6095,12 +6106,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ33 Β· ⭐ 4.6K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 600 Β· πŸ“₯ 1.4K Β· πŸ“¦ 670 Β· πŸ“‹ 870 - 43% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 600 Β· πŸ“₯ 1.4K Β· πŸ“¦ 670 Β· πŸ“‹ 860 - 42% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 210K / month Β· πŸ“¦ 13 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 220K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` pip install clearml ``` @@ -6111,12 +6122,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ33 Β· ⭐ 4.1K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 240 Β· πŸ“¦ 290 Β· πŸ“‹ 920 - 30% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 290 Β· πŸ“‹ 930 - 31% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 96K / month Β· πŸ“¦ 12 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 110K / month Β· πŸ“¦ 13 Β· ⏱️ 16.08.2023): ``` pip install aim ``` @@ -6127,12 +6138,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (πŸ₯ˆ31 Β· ⭐ 5.5K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 4 Β· πŸ“‹ 390 - 30% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 10 Β· πŸ“‹ 400 - 30% open Β· ⏱️ 17.07.2023): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 170K / month Β· πŸ“¦ 370 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 180K / month Β· πŸ“¦ 370 Β· ⏱️ 02.08.2023): ``` pip install kaggle ``` @@ -6153,41 +6164,41 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install visualdl ```
-
sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
Neptune.ai (πŸ₯ˆ30 Β· ⭐ 400) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.5K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 19.06.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 47 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/IDSIA/sacred + git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 28K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 16.08.2023): ``` - pip install sacred + pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 210K Β· ⏱️ 16.08.2023): ``` - conda install -c conda-forge sacred + conda install -c conda-forge neptune-client ```
-
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 400) - Experiment tracking tool and model registry. Apache-2 +
sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 47 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.5K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 19.06.2023): ``` - git clone https://github.com/neptune-ai/neptune-client + git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 570K / month Β· πŸ“¦ 44 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 28K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): ``` - pip install neptune-client + pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 210K Β· ⏱️ 27.07.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.8K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge neptune-client + conda install -c conda-forge sacred ```
ml-metadata (πŸ₯‰28 Β· ⭐ 550) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google/ml-metadata @@ -6199,50 +6210,62 @@ _Libraries to organize, track, and visualize machine learning experiments._
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 240 Β· πŸ“‹ 79 - 22% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 240 Β· πŸ“‹ 80 - 23% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.4K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.2K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
+
Guild AI (πŸ₯‰26 Β· ⭐ 810) - Experiment tracking, ML developer tools. Apache-2 + +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“₯ 14 Β· πŸ“¦ 81 Β· πŸ“‹ 430 - 49% open Β· ⏱️ 12.08.2023): + + ``` + git clone https://github.com/guildai/guildai + ``` +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.1K / month Β· ⏱️ 11.05.2022): + ``` + pip install guildai + ``` +
Labml (πŸ₯‰25 Β· ⭐ 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 95 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 96 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2023): ``` pip install labml ```
-
Guild AI (πŸ₯‰25 Β· ⭐ 810) - Experiment tracking, ML developer tools. Apache-2 +
quinn (πŸ₯‰23 Β· ⭐ 500) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 76 Β· πŸ“₯ 14 Β· πŸ“¦ 81 Β· πŸ“‹ 430 - 49% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 67 Β· πŸ“₯ 8 Β· πŸ“¦ 68 Β· πŸ“‹ 65 - 53% open Β· ⏱️ 08.05.2023): ``` - git clone https://github.com/guildai/guildai + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 810K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` - pip install guildai + pip install quinn ```
-
quinn (πŸ₯‰23 Β· ⭐ 490) - pyspark methods to enhance developer productivity. Apache-2 +
Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 66 Β· πŸ“₯ 8 Β· πŸ“¦ 68 Β· πŸ“‹ 65 - 53% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 09.01.2023): ``` - git clone https://github.com/MrPowers/quinn + git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 820K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 320 / month Β· ⏱️ 14.09.2021): ``` - pip install quinn + pip install studioml ```
TensorWatch (πŸ₯‰21 Β· ⭐ 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT @@ -6252,43 +6275,31 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.2K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.3K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ```
-
Studio.ml (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - -- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 09.01.2023): - - ``` - git clone https://github.com/studioml/studio - ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 65 / month Β· ⏱️ 14.09.2021): - ``` - pip install studioml - ``` -
-
lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +
lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - [GitHub](https://github.com/instacart/lore) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 20 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 27.09.2022): ``` git clone https://github.com/instacart/lore ``` -- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 980 / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): +- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): ``` pip install lore ```
caliban (πŸ₯‰16 Β· ⭐ 480) - Research workflows made easy, locally and in the Cloud. Apache-2 -- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 66 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 67 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 110 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 71 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -6320,84 +6331,84 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡42 Β· ⭐ 15K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 17K Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 18K Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.8M / month Β· πŸ“¦ 560 Β· ⏱️ 04.05.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 2.7M / month Β· πŸ“¦ 560 Β· ⏱️ 04.05.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 800K Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 810K Β· ⏱️ 12.07.2023): ``` conda install -c conda-forge onnx ```
-
triton (πŸ₯‡38 Β· ⭐ 7.8K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡39 Β· ⭐ 7.9K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 780 Β· πŸ“¦ 5.8K Β· πŸ“‹ 710 - 38% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 830 Β· πŸ“¦ 6.1K Β· πŸ“‹ 760 - 41% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 3.8M / month Β· πŸ“¦ 44 Β· ⏱️ 17.03.2023): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4M / month Β· πŸ“¦ 47 Β· ⏱️ 17.03.2023): ``` pip install triton ```
-
BentoML (πŸ₯ˆ35 Β· ⭐ 5.4K) - Build Production-Grade AI Applications. Apache-2 +
BentoML (πŸ₯ˆ35 Β· ⭐ 5.5K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 610 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 940 - 19% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 610 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 940 - 19% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 97K / month Β· πŸ“¦ 10 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 100K / month Β· πŸ“¦ 10 Β· ⏱️ 01.08.2023): ``` pip install bentoml ```
-
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 3.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
huggingface_hub (πŸ₯ˆ34 Β· ⭐ 1.1K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 7.5K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.2K - 18% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/apple/coremltools + git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 140K / month Β· πŸ“¦ 160 Β· ⏱️ 15.11.2022): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 14M / month Β· πŸ“¦ 370 Β· ⏱️ 07.07.2023): ``` - pip install coremltools + pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 51K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.3M Β· ⏱️ 15.07.2023): ``` - conda install -c conda-forge coremltools + conda install -c conda-forge huggingface_hub ```
-
huggingface_hub (πŸ₯ˆ33 Β· ⭐ 1.1K) - All the open source things related to the Hugging Face Hub. Apache-2 +
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 3.6K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 7.5K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.2K - 19% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/huggingface/huggingface_hub + git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 14M / month Β· πŸ“¦ 360 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 15.08.2023): ``` - pip install huggingface_hub + pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.3M Β· ⏱️ 15.07.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 51K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge huggingface_hub + conda install -c conda-forge coremltools ```
TorchServe (πŸ₯ˆ32 Β· ⭐ 3.6K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 760 Β· πŸ“₯ 4.9K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 760 Β· πŸ“₯ 4.9K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 35K / month Β· πŸ“¦ 11 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 36K / month Β· πŸ“¦ 11 Β· ⏱️ 14.06.2023): ``` pip install torchserve ``` @@ -6410,14 +6421,14 @@ _Libraries to serialize models to files, convert between a variety of model form docker pull pytorch/torchserve ```
-
Hummingbird (πŸ₯ˆ27 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 280 Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.5K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 8.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` @@ -6433,7 +6444,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 9.4K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ``` @@ -6445,23 +6456,23 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 550 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 530 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): ``` pip install mmdnn ```
hls4ml (πŸ₯ˆ25 Β· ⭐ 900) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 330 Β· πŸ“‹ 370 - 35% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 600 / month Β· ⏱️ 12.11.2021): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 580 / month Β· ⏱️ 12.11.2021): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 6.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ``` @@ -6473,19 +6484,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 18K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ```
nebullvm (πŸ₯‰23 Β· ⭐ 8.3K) - The next-generation platform to monitor and optimize your AI costs.. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 47% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 640 Β· πŸ“‹ 200 - 47% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 580 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6511,12 +6522,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡41 Β· ⭐ 20K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 13K Β· πŸ“‹ 2.3K - 62% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 13K Β· πŸ“‹ 2.3K - 62% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.9M / month Β· πŸ“¦ 400 Β· ⏱️ 15.07.2023): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7M / month Β· πŸ“¦ 400 Β· ⏱️ 15.07.2023): ``` pip install shap ``` @@ -6527,7 +6538,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
arviz (πŸ₯‡35 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 340 Β· πŸ“₯ 130 Β· πŸ“¦ 4.5K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 340 Β· πŸ“₯ 130 Β· πŸ“¦ 4.6K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6536,43 +6547,43 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 1.8M Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 1.9M Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge arviz ```
Netron (πŸ₯‡34 Β· ⭐ 24K) - Visualizer for neural network, deep learning, and machine.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 57K Β· πŸ“¦ 10 Β· πŸ“‹ 960 - 2% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 50K Β· πŸ“¦ 10 Β· πŸ“‹ 970 - 2% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 15K / month Β· πŸ“¦ 73 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 08.08.2023): ``` pip install netron ```
InterpretML (πŸ₯‡34 Β· ⭐ 5.6K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 680 Β· πŸ“¦ 490 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 670 Β· πŸ“¦ 500 Β· πŸ“‹ 380 - 15% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 66K / month Β· πŸ“¦ 28 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 64K / month): ``` pip install interpret ```
Captum (πŸ₯‡32 Β· ⭐ 4.1K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.4K Β· πŸ“‹ 490 - 35% open Β· ⏱️ 08.07.2023): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 430 Β· πŸ“¦ 1.4K Β· πŸ“‹ 460 - 30% open Β· ⏱️ 08.07.2023): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month): ``` pip install captum ``` @@ -6583,12 +6594,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pyLDAvis (πŸ₯ˆ31 Β· ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 5.2K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 350 Β· πŸ“¦ 5.3K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 290K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 290K / month): ``` pip install pyldavis ``` @@ -6599,12 +6610,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 850 Β· πŸ“₯ 33 Β· πŸ“¦ 280 Β· πŸ“‹ 390 - 29% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 850 Β· πŸ“₯ 33 Β· πŸ“¦ 280 Β· πŸ“‹ 390 - 29% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 41K / month Β· πŸ“¦ 5 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 43K / month Β· πŸ“¦ 5 Β· ⏱️ 30.07.2023): ``` pip install dowhy ``` @@ -6615,7 +6626,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.6K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 860 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 870 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/parrt/dtreeviz @@ -6624,19 +6635,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 55K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 56K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 260 Β· πŸ“¦ 340 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 270 Β· πŸ“¦ 340 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 41K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 38K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` @@ -6647,24 +6658,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
evaluate (πŸ₯ˆ30 Β· ⭐ 1.5K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 170 Β· πŸ“¦ 3.3K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 24.06.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 170 Β· πŸ“¦ 3.4K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 24.06.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 760K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 750K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): ``` pip install evaluate ```
Alibi (πŸ₯ˆ29 Β· ⭐ 2.1K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 500 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“¦ 510 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 16K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 16K / month): ``` pip install alibi ``` @@ -6685,26 +6696,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ```
-
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 - -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 270 Β· πŸ“‹ 83 - 38% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/tensorflow/model-analysis - ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 14.04.2023): - ``` - pip install tensorflow-model-analysis - ``` -
imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 75 - 34% open Β· ⏱️ 28.07.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 75 - 34% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 100K / month Β· πŸ“¦ 4 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 85K / month Β· πŸ“¦ 4 Β· ⏱️ 01.08.2023): ``` pip install imodels ``` @@ -6716,61 +6715,73 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 5.6K / month Β· πŸ“¦ 2 Β· ⏱️ 25.07.2023): ``` pip install shapash ```
-
responsible-ai-widgets (πŸ₯ˆ28 Β· ⭐ 920) - Responsible AI Toolbox is a suite of tools providing.. MIT +
responsible-ai-widgets (πŸ₯ˆ28 Β· ⭐ 930) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 240 Β· πŸ“¦ 61 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 63 Β· πŸ“‹ 320 - 29% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6.4K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6.7K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): ``` pip install raiwidgets ```
-
yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick + git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 460K / month Β· πŸ“¦ 79 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): ``` - pip install yellowbrick + pip install causalnex + ``` +
+
Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 + +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 79 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 01.08.2023): + + ``` + git clone https://github.com/Trusted-AI/AIX360 ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 66K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 710 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` - conda install -c conda-forge yellowbrick + pip install aix360 ```
-
CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 +
Model Analysis (πŸ₯ˆ27 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 250 Β· πŸ“‹ 73 - 28% open Β· ⏱️ 15.08.2023): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month): ``` - pip install causalnex + pip install tensorflow-model-analysis ```
-
Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 +
yellowbrick (πŸ₯‰26 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 78 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): ``` - git clone https://github.com/Trusted-AI/AIX360 + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 420K / month Β· πŸ“¦ 79 Β· ⏱️ 21.08.2022): ``` - pip install aix360 + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick ```
Fairness 360 (πŸ₯‰26 Β· ⭐ 2.1K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 @@ -6780,7 +6791,7 @@ _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“₯ 6.8K / month Β· πŸ“¦ 11 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.5K / month Β· πŸ“¦ 11 Β· ⏱️ 04.03.2021): ``` pip install aif360 ``` @@ -6789,14 +6800,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge aif360 ```
-
iNNvestigate (πŸ₯‰26 Β· ⭐ 1.1K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 +
iNNvestigate (πŸ₯‰26 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 74 Β· πŸ“¦ 110 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 13.06.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 76 Β· πŸ“¦ 110 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 13.06.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): ``` pip install innvestigate ``` @@ -6808,27 +6819,15 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.9K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.1K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge checklist ```
-
keract (πŸ₯‰25 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT - -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 190 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/philipperemy/keract - ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 9K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): - ``` - pip install keract - ``` -
DiCE (πŸ₯‰24 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 41% open Β· ⏱️ 06.08.2023): @@ -6836,7 +6835,7 @@ _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“₯ 62K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 72K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): ``` pip install dice-ml ``` @@ -6848,7 +6847,7 @@ _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“₯ 860 / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): ``` pip install lit-nlp ``` @@ -6857,6 +6856,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge lit-nlp ```
+
keract (πŸ₯‰23 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT + +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 190 Β· πŸ“‹ 88 - 2% open Β· ⏱️ 08.08.2023): + + ``` + git clone https://github.com/philipperemy/keract + ``` +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 7K / month): + ``` + pip install keract + ``` +
What-If Tool (πŸ₯‰23 Β· ⭐ 830) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 27.04.2023): @@ -6864,7 +6875,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6872,7 +6883,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 950 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6884,63 +6895,51 @@ _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“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
aequitas (πŸ₯‰22 Β· ⭐ 560) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“¦ 140 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 140 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 12.05.2023): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.7K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): ``` pip install aequitas ```
-
ecco (πŸ₯‰20 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 +
ecco (πŸ₯‰21 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 140 Β· πŸ“₯ 64 Β· πŸ“¦ 26 Β· πŸ“‹ 55 - 45% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“₯ 64 Β· πŸ“¦ 26 Β· πŸ“‹ 56 - 46% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 760 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 680 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 3.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 3.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ecco ```
-
fairness-indicators (πŸ₯‰20 Β· ⭐ 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +
fairness-indicators (πŸ₯‰19 Β· ⭐ 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 03.05.2023): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.6K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.2K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
-
sklearn-evaluation (πŸ₯‰19 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - -- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): - - ``` - git clone https://github.com/edublancas/sklearn-evaluation - ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): - ``` - pip install sklearn-evaluation - ``` -
LOFO (πŸ₯‰18 Β· ⭐ 760) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 27 - 22% open Β· ⏱️ 14.04.2023): @@ -6948,7 +6947,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 930 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): ``` pip install lofo-importance ``` @@ -6960,26 +6959,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.6K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 2.8K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ```
-
Show 21 hidden projects... +
Show 22 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- Deep Checks (πŸ₯ˆ30 Β· ⭐ 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Deep Checks (πŸ₯ˆ29 Β· ⭐ 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗Unlicensed - eli5 (πŸ₯ˆ28 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ27 Β· ⭐ 2.3K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯‰26 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- TreeInterpreter (πŸ₯‰23 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 -- tf-explain (πŸ₯‰22 Β· ⭐ 990 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - random-forest-importances (πŸ₯‰22 Β· ⭐ 560 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT +- Quantus (πŸ₯‰22 Β· ⭐ 400) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - Skater (πŸ₯‰21 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- deeplift (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Public facing deeplift repo. MIT -- Quantus (πŸ₯‰21 Β· ⭐ 400) - Quantus is an eXplainable AI toolkit for responsible evaluation.. ❗Unlicensed +- tf-explain (πŸ₯‰21 Β· ⭐ 990 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT +- deeplift (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - Public facing deeplift repo. MIT +- TreeInterpreter (πŸ₯‰21 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tcav (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰17 Β· ⭐ 930 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - Anchor (πŸ₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 @@ -6987,7 +6986,8 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - interpret-text (πŸ₯‰13 Β· ⭐ 380 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - contextual-ai (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰11 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT +- bias-detector (πŸ₯‰10 Β· ⭐ 43 Β· πŸ’€) - MIT +- sklearn-evaluation (πŸ₯‰9 Β· ⭐ 1 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT

@@ -6997,11 +6997,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ -πŸ”— ANN Benchmarks ( ⭐ 3.9K) - Benchmarks of approximate nearest neighbor libraries in Python. +πŸ”— ANN Benchmarks ( ⭐ 4K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (πŸ₯‡39 Β· ⭐ 22K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“₯ 34K Β· πŸ“‹ 8.6K - 7% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.5K Β· πŸ“₯ 36K Β· πŸ“‹ 8.7K - 7% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/milvus-io/milvus @@ -7010,14 +7010,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.3M Β· ⭐ 30 Β· ⏱️ 10.08.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 4.3M Β· ⭐ 32 Β· ⏱️ 17.08.2023): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡38 Β· ⭐ 24K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.1K - 15% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/facebookresearch/faiss @@ -7026,7 +7026,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 840K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 850K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge faiss ``` @@ -7038,7 +7038,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1M / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 980K / month Β· πŸ“¦ 260 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -7047,14 +7047,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge python-annoy ```
-
hnswlib (πŸ₯ˆ30 Β· ⭐ 3.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 +
hnswlib (πŸ₯ˆ30 Β· ⭐ 3.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 480 Β· πŸ“¦ 2.5K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 480 Β· πŸ“¦ 3.2K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 910K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 840K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` @@ -7063,14 +7063,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
-
PyNNDescent (πŸ₯‰29 Β· ⭐ 780) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯ˆ30 Β· ⭐ 780) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 96 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 97 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 52% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 820K / month Β· πŸ“¦ 49 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 810K / month Β· πŸ“¦ 54 Β· ⏱️ 31.10.2022): ``` pip install pynndescent ``` @@ -7079,18 +7079,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
-
USearch (πŸ₯‰24 Β· ⭐ 630 Β· 🐣) - Vector Search engine in a single file - supporting C++ 11, C 99,.. Apache-2 +
USearch (πŸ₯‰24 Β· ⭐ 640 Β· 🐣) - Fastest search engine in a single file - supporting C++ 11, C 99,.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 27 Β· πŸ“₯ 58 Β· πŸ“¦ 6 Β· πŸ“‹ 34 - 29% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 29 Β· πŸ“₯ 59 Β· πŸ“¦ 7 Β· πŸ“‹ 38 - 36% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 8.5K / month): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 7.5K / month Β· ⏱️ 07.08.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 1.4K / month): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 1.7K / month Β· ⏱️ 07.08.2023): ``` npm install usearch ``` @@ -7101,7 +7101,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NGT (πŸ₯‰23 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 13% open Β· ⏱️ 31.07.2023): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/yahoojapan/NGT @@ -7118,7 +7118,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 910 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 760 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -7130,7 +7130,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 500 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 470 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7151,12 +7151,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡39 Β· ⭐ 7.7K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.8K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.9K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 390K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 410K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -7167,12 +7167,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 410 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 420 Β· ⏱️ 04.08.2023): ``` pip install tensorflow-probability ``` @@ -7188,34 +7188,34 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 550K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 600K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 92K Β· ⏱️ 29.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 95K Β· ⏱️ 29.07.2023): ``` conda install -c conda-forge pyro-ppl ```
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 210K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 110K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 120K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge gpytorch ```
filterpy (πŸ₯ˆ32 Β· ⭐ 2.8K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 560 Β· πŸ“¦ 3.7K Β· πŸ“‹ 220 - 25% open Β· ⏱️ 22.08.2022): +- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 560 Β· πŸ“¦ 3.8K Β· πŸ“‹ 220 - 26% open Β· ⏱️ 22.08.2022): ``` git clone https://github.com/rlabbe/filterpy @@ -7247,12 +7247,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.4K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 280 Β· πŸ“¦ 700 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 280 Β· πŸ“¦ 700 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 56K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 57K / month Β· πŸ“¦ 29 Β· ⏱️ 30.06.2022): ``` pip install pgmpy ``` @@ -7268,19 +7268,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 8.6M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 8.7M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge patsy ```
SALib (πŸ₯ˆ31 Β· ⭐ 740) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 850 Β· πŸ“‹ 310 - 14% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 860 Β· πŸ“‹ 310 - 14% open Β· ⏱️ 20.07.2023): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 110K / month Β· πŸ“¦ 78 Β· ⏱️ 22.06.2022): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 110K / month Β· πŸ“¦ 80 Β· ⏱️ 22.06.2022): ``` pip install salib ``` @@ -7291,7 +7291,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pandas-ta (πŸ₯‰30 Β· ⭐ 3.9K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 790 Β· πŸ“¦ 3.2K Β· πŸ“‹ 500 - 18% open Β· ⏱️ 24.09.2022): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 790 Β· πŸ“¦ 3.2K Β· πŸ“‹ 510 - 19% open Β· ⏱️ 24.09.2022): ``` git clone https://github.com/twopirllc/pandas-ta @@ -7307,12 +7307,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pomegranate (πŸ₯‰30 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 570 Β· πŸ“¦ 970 Β· πŸ“‹ 730 - 3% open Β· ⏱️ 24.07.2023): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 570 Β· πŸ“¦ 980 Β· πŸ“‹ 730 - 3% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 18K / month Β· πŸ“¦ 57 Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 19K / month Β· πŸ“¦ 57 Β· ⏱️ 15.08.2023): ``` pip install pomegranate ``` @@ -7328,7 +7328,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 53K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 51K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): ``` pip install gpflow ``` @@ -7337,14 +7337,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpflow ```
-
emcee (πŸ₯‰30 Β· ⭐ 1.3K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
emcee (πŸ₯‰30 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 430 Β· πŸ“¦ 2K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 110K / month Β· πŸ“¦ 340 Β· ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 100K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): ``` pip install emcee ``` @@ -7355,7 +7355,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (πŸ₯‰27 Β· ⭐ 930) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“¦ 80 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“¦ 81 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/bambinos/bambi @@ -7369,32 +7369,32 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
-
Baal (πŸ₯‰24 Β· ⭐ 770) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 +
Orbit (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 51 Β· πŸ“‹ 100 - 24% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 31 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): ``` - git clone https://github.com/baal-org/baal - ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 03.05.2022): - ``` - pip install baal + git clone https://github.com/uber/orbit ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 6.6K Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` - conda install -c conda-forge baal + pip install orbit-ml ```
-
Orbit (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +
Baal (πŸ₯‰23 Β· ⭐ 770) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 31 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 29.01.2023): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 51 Β· πŸ“‹ 100 - 24% open Β· ⏱️ 17.07.2023): ``` - git clone https://github.com/uber/orbit + git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 03.05.2022): ``` - pip install orbit-ml + pip install baal + ``` +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 6.7K Β· ⏱️ 12.06.2023): + ``` + conda install -c conda-forge baal ```
Show 7 hidden projects... @@ -7426,7 +7426,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 30K Β· ⏱️ 01.07.2023): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 31K Β· ⏱️ 01.07.2023): ``` conda install -c conda-forge adversarial-robustness-toolbox ``` @@ -7447,9 +7447,9 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge cleverhans ```
-
TextAttack (πŸ₯ˆ27 Β· ⭐ 2.4K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ28 Β· ⭐ 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 320 Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 24.07.2023): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 320 Β· πŸ“¦ 190 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 24.07.2023): ``` git clone https://github.com/QData/TextAttack @@ -7470,7 +7470,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 41 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 36 / month Β· ⏱️ 05.12.2018): ``` pip install advbox ``` @@ -7491,25 +7491,45 @@ _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._ -
optimum (πŸ₯‡32 Β· ⭐ 1.4K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
CuPy (πŸ₯‡38 Β· ⭐ 7.1K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT + +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 700 Β· πŸ“₯ 140K Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 17.08.2023): + + ``` + git clone https://github.com/cupy/cupy + ``` +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 21K / month Β· πŸ“¦ 190 Β· ⏱️ 08.08.2023): + ``` + pip install cupy + ``` +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 26.07.2023): + ``` + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 58K Β· ⭐ 11 Β· ⏱️ 15.08.2023): + ``` + docker pull cupy/cupy + ``` +
+
optimum (πŸ₯‡32 Β· ⭐ 1.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 240 Β· πŸ“¦ 370 Β· πŸ“‹ 460 - 43% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 250 Β· πŸ“¦ 390 Β· πŸ“‹ 470 - 43% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 190K / month Β· πŸ“¦ 18 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 190K / month Β· πŸ“¦ 18 Β· ⏱️ 17.08.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.5K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 8.6K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge optimum ```
-
cuDF (πŸ₯‡31 Β· ⭐ 5.8K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯ˆ31 Β· ⭐ 5.9K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 710 Β· πŸ“‹ 5.6K - 15% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 720 Β· πŸ“‹ 5.6K - 15% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/rapidsai/cudf @@ -7519,25 +7539,25 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c pip install cudf ```
-
PyCUDA (πŸ₯‡31 Β· ⭐ 1.6K) - CUDA integration for Python, plus shiny features. MIT +
PyCUDA (πŸ₯ˆ31 Β· ⭐ 1.6K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 270 Β· πŸ“¦ 2.3K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 19.06.2023): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 37K / month Β· πŸ“¦ 210 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 40K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 250K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pycuda ```
Apex (πŸ₯ˆ30 Β· ⭐ 7.5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/NVIDIA/apex @@ -7549,19 +7569,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ30 Β· ⭐ 3.5K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 460 Β· πŸ“‹ 2.3K - 33% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.8K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
gpustat (πŸ₯ˆ29 Β· ⭐ 3.5K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 3.8K Β· πŸ“‹ 120 - 25% open Β· ⏱️ 01.06.2023): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 3.9K Β· πŸ“‹ 120 - 25% open Β· ⏱️ 01.06.2023): ``` git clone https://github.com/wookayin/gpustat @@ -7577,24 +7597,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.2K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.3K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 29.07.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.3K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1K / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 950 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
-
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (πŸ₯‰27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 170 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7603,54 +7623,34 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
-
CuPy (πŸ₯‰26 Β· ⭐ 7.1K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT - -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 700): - - ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 21K / month Β· πŸ“¦ 190 Β· ⏱️ 08.08.2023): - ``` - pip install cupy - ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3M Β· ⏱️ 26.07.2023): - ``` - conda install -c conda-forge cupy - ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 58K Β· ⭐ 11 Β· ⏱️ 10.08.2023): - ``` - docker pull cupy/cupy - ``` -
DALI (πŸ₯‰25 Β· ⭐ 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/NVIDIA/DALI ```
-
Merlin (πŸ₯‰24 Β· ⭐ 570) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰23 Β· ⭐ 570) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 86 Β· πŸ“‹ 440 - 45% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 86 Β· πŸ“‹ 440 - 45% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 2.4K / month Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 2.2K / month Β· ⏱️ 02.01.2023): ``` pip install merlin-core ```
-
Vulkan Kompute (πŸ₯‰20 Β· ⭐ 1.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 86 Β· πŸ“₯ 450 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 28.05.2023): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 86 Β· πŸ“₯ 450 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 86 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 110 / month Β· ⏱️ 13.04.2022): ``` pip install kp ``` @@ -7666,12 +7666,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 7 hidden projects... - scikit-cuda (πŸ₯‰24 Β· ⭐ 940 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 -- GPUtil (πŸ₯‰23 Β· ⭐ 980 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT -- py3nvml (πŸ₯‰22 Β· ⭐ 220 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 +- GPUtil (πŸ₯‰23 Β· ⭐ 990 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT +- py3nvml (πŸ₯‰23 Β· ⭐ 220 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰21 Β· ⭐ 1.8K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 110 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- ipyexperiments (πŸ₯‰16 Β· ⭐ 160 Β· πŸ’€) - jupyter/ipython experiment containers for GPU and.. Apache-2 - SpeedTorch (πŸ₯‰15 Β· ⭐ 660 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT -- ipyexperiments (πŸ₯‰15 Β· ⭐ 160 Β· πŸ’€) - jupyter/ipython experiment containers for GPU and.. Apache-2

@@ -7683,36 +7683,20 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡36 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.6M / month Β· πŸ“¦ 200 Β· ⏱️ 13.04.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.7M / month Β· πŸ“¦ 200 Β· ⏱️ 13.04.2023): ``` pip install tensorflow-datasets ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorflow-datasets ```
-
tensorflow-hub (πŸ₯‡35 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 - -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 09.08.2023): - - ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month Β· πŸ“¦ 330 Β· ⏱️ 13.07.2023): - ``` - pip install tensorflow-hub - ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 87K Β· ⏱️ 13.07.2023): - ``` - conda install -c conda-forge tensorflow-hub - ``` -
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.07.2023): @@ -7720,7 +7704,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 940K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 890K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): ``` pip install tensorflow-addons ``` @@ -7732,57 +7716,73 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.7K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.3K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): ``` pip install tensor2tensor ```
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 970) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 21% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 21% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 650K / month Β· πŸ“¦ 56 Β· ⏱️ 13.04.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 630K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
-
TF Model Optimization (πŸ₯ˆ31 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ“‰) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3K Β· πŸ“‹ 360 - 55% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 09.08.2023): ``` - git clone https://github.com/tensorflow/model-optimization + git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 320K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month): ``` - pip install tensorflow-model-optimization + pip install tensorflow-hub + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 87K Β· ⏱️ 13.07.2023): + ``` + conda install -c conda-forge tensorflow-hub ```
-
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 660) - Dataset, streaming, and file system extensions.. Apache-2 +
TFX (πŸ₯ˆ31 Β· ⭐ 2K Β· πŸ“ˆ) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 42% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 910 - 10% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/tensorflow/io + git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.7M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 45K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2023): ``` - pip install tensorflow-io + pip install tfx ```
-
TFX (πŸ₯‰29 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TF Model Optimization (πŸ₯ˆ31 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“‹ 860 - 5% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3.1K Β· πŸ“‹ 360 - 55% open Β· ⏱️ 01.08.2023): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 47K / month): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 360K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): ``` - pip install tfx + pip install tensorflow-model-optimization + ``` +
+
TensorFlow I/O (πŸ₯‰30 Β· ⭐ 660) - Dataset, streaming, and file system extensions.. Apache-2 + +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 42% open Β· ⏱️ 06.08.2023): + + ``` + git clone https://github.com/tensorflow/io + ``` +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.7M / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2023): + ``` + pip install tensorflow-io ```
Neural Structured Learning (πŸ₯‰26 Β· ⭐ 970) - Training neural models with structured signals. Apache-2 @@ -7799,31 +7799,31 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Cloud (πŸ₯‰25 Β· ⭐ 360 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 22.12.2022): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 290 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 22.12.2022): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 65K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 67K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
TF Compression (πŸ₯‰22 Β· ⭐ 770) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 97 - 6% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 97 - 6% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 5K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 5.6K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): ``` pip install tensorflow-compression ```
Show 5 hidden projects... -- Keras-Preprocessing (πŸ₯ˆ30 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT +- Keras-Preprocessing (πŸ₯‰30 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT @@ -7839,24 +7839,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡29 Β· ⭐ 1.3K) - Elegant easy-to-use neural networks in JAX... Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 77 Β· πŸ“¦ 200 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 78 Β· πŸ“¦ 210 Β· πŸ“‹ 210 - 25% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 24K / month Β· πŸ“¦ 28 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 27K / month Β· πŸ“¦ 30 Β· ⏱️ 26.07.2023): ``` pip install equinox ```
-
evojax (πŸ₯‰18 Β· ⭐ 680) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 +
evojax (πŸ₯‰19 Β· ⭐ 680) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 56 Β· πŸ“¦ 10 Β· πŸ“‹ 23 - 30% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 10 Β· πŸ“‹ 25 - 36% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 790 / month): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2022): ``` pip install evojax ``` @@ -7867,7 +7867,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects... -- jaxdf (πŸ₯‰14 Β· ⭐ 90) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0 +- jaxdf (πŸ₯‰14 Β· ⭐ 95) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

@@ -7877,14 +7877,14 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.4K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡37 Β· ⭐ 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 19K Β· πŸ“‹ 560 - 6% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 2.9M / month Β· πŸ“¦ 320 Β· ⏱️ 08.07.2023): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 3.6M / month Β· πŸ“¦ 320 Β· ⏱️ 08.07.2023): ``` pip install imbalanced-learn ``` @@ -7893,14 +7893,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge imbalanced-learn ```
-
MLxtend (πŸ₯‡35 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. BSD-3 +
MLxtend (πŸ₯‡34 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 820 Β· πŸ“¦ 10K Β· πŸ“‹ 470 - 28% open Β· ⏱️ 14.07.2023): ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 750K / month Β· πŸ“¦ 170 Β· ⏱️ 27.05.2022): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 690K / month Β· πŸ“¦ 170 Β· ⏱️ 27.05.2022): ``` pip install mlxtend ``` @@ -7909,14 +7909,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
-
scikit-learn-intelex (πŸ₯ˆ34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 160 Β· πŸ“¦ 7.4K Β· πŸ“‹ 200 - 25% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 160 Β· πŸ“¦ 7.4K Β· πŸ“‹ 210 - 24% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 220K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 200K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): ``` pip install scikit-learn-intelex ``` @@ -7925,18 +7925,18 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-learn-intelex ```
-
category_encoders (πŸ₯ˆ30 Β· ⭐ 2.3K) - A library of sklearn compatible categorical variable.. BSD-3 +
category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.05.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 390 Β· πŸ“¦ 980 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month Β· πŸ“¦ 140 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.2M / month Β· πŸ“¦ 150 Β· ⏱️ 15.08.2023): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/category_encoders): ``` conda install -c conda-forge category_encoders ``` @@ -7948,35 +7948,35 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 84K / month Β· πŸ“¦ 23 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 83K / month Β· πŸ“¦ 23 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
scikit-lego (πŸ₯‰25 Β· ⭐ 1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 99 Β· πŸ“¦ 100 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 99 Β· πŸ“¦ 110 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 34K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 41K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 42K Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge scikit-lego ```
scikit-opt (πŸ₯‰24 Β· ⭐ 4.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 880 Β· πŸ“¦ 130 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 19.02.2023): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 890 Β· πŸ“¦ 130 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 19.02.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 2.7K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7988,7 +7988,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 110K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 86K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ``` @@ -8000,19 +8000,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): ``` pip install deslib ```
Show 10 hidden projects... -- scikit-survival (πŸ₯ˆ29 Β· ⭐ 960) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- scikit-survival (πŸ₯ˆ29 Β· ⭐ 970) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-contrib-lightning (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰22 Β· ⭐ 780 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- skope-rules (πŸ₯‰21 Β· ⭐ 550) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- skope-rules (πŸ₯‰21 Β· ⭐ 560) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰20 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - scikit-tda (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Topological Data Analysis for Python. MIT - skggm (πŸ₯‰17 Β· ⭐ 220) - Scikit-learn compatible estimation of general graphical models. MIT @@ -8026,30 +8026,30 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡38 Β· ⭐ 5.4K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (πŸ₯‡38 Β· ⭐ 5.5K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 560 Β· πŸ“¦ 11K Β· πŸ“‹ 900 - 10% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 580 Β· πŸ“¦ 12K Β· πŸ“‹ 910 - 10% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 4.6M / month Β· πŸ“¦ 230 Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 5M / month Β· πŸ“¦ 270 Β· ⏱️ 13.07.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 53K Β· ⏱️ 15.07.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 55K Β· ⏱️ 15.07.2023): ``` conda install -c conda-forge accelerate ```
PML (πŸ₯‡34 Β· ⭐ 5.4K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 840 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 850 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 260K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 250K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -8060,7 +8060,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 19K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.9K Β· πŸ“¦ 23 Β· πŸ“‹ 320 - 12% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2K Β· πŸ“¦ 24 Β· πŸ“‹ 320 - 11% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/geohot/tinygrad @@ -8068,7 +8068,7 @@ _Libraries that extend Pytorch with additional capabilities._
lightning-flash (πŸ₯‡31 Β· ⭐ 1.7K) - 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“¦ 240 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 240 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/Lightning-AI/lightning-flash @@ -8084,7 +8084,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (πŸ₯ˆ29 Β· ⭐ 4.8K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 850 Β· πŸ“¦ 1.9K Β· πŸ“‹ 200 - 29% open Β· ⏱️ 20.05.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 850 Β· πŸ“¦ 2K Β· πŸ“‹ 200 - 29% open Β· ⏱️ 20.05.2023): ``` git clone https://github.com/rtqichen/torchdiffeq @@ -8105,15 +8105,31 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 79K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 82K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 8.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 8.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ```
+
torchsde (πŸ₯ˆ28 Β· ⭐ 1.3K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 + +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· πŸ“‹ 66 - 27% open Β· ⏱️ 15.08.2023): + + ``` + git clone https://github.com/google-research/torchsde + ``` +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.3M / month Β· πŸ“¦ 8 Β· ⏱️ 20.07.2021): + ``` + pip install torchsde + ``` +- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge torchsde + ``` +
TabNet (πŸ₯ˆ27 Β· ⭐ 2.2K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 430 Β· πŸ“‹ 310 - 16% open Β· ⏱️ 23.07.2023): @@ -8121,7 +8137,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 30K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 31K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` @@ -8132,7 +8148,7 @@ _Libraries that extend Pytorch with additional capabilities._
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 04.06.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 04.06.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter @@ -8141,14 +8157,14 @@ _Libraries that extend Pytorch with additional capabilities._ ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 210K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch_scatter ```
-
Pytorch Toolbelt (πŸ₯ˆ25 Β· ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT +
Pytorch Toolbelt (πŸ₯ˆ26 Β· ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 38 Β· πŸ“‹ 30 - 6% open Β· ⏱️ 09.06.2023): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 38 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt @@ -8158,14 +8174,14 @@ _Libraries that extend Pytorch with additional capabilities._ pip install pytorch_toolbelt ```
-
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯‰25 Β· ⭐ 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 250 - 11% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 27K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 26K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): ``` pip install torch-sparse ``` @@ -8181,7 +8197,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.1K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.2K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -8193,7 +8209,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 680 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): ``` pip install tez ``` @@ -8205,15 +8221,14 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.4K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ```
-
Show 19 hidden projects... +
Show 18 hidden projects... - pretrainedmodels (πŸ₯ˆ30 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 -- torchsde (πŸ₯ˆ29 Β· ⭐ 1.3K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - pytorch-summary (πŸ₯ˆ27 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT - Torchmeta (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT @@ -8226,7 +8241,7 @@ _Libraries that extend Pytorch with additional capabilities._ - pytorchviz (πŸ₯‰19 Β· ⭐ 2.7K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT - Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Performer Pytorch (πŸ₯‰19 Β· ⭐ 980 Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT -- micrograd (πŸ₯‰18 Β· ⭐ 5.9K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰18 Β· ⭐ 6K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - Tensor Sensor (πŸ₯‰18 Β· ⭐ 730 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Pywick (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT @@ -8248,58 +8263,58 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +
SymPy (πŸ₯‡48 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 4 Β· πŸ“‹ 9.6K - 17% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 510K Β· πŸ“¦ 76K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/scipy/scipy + git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 60M / month Β· πŸ“¦ 63K Β· ⏱️ 28.06.2023): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.7M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): ``` - pip install scipy + pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 41M Β· ⏱️ 29.06.2023): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge scipy + conda install -c conda-forge sympy ```
-
SymPy (πŸ₯‡47 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 +
scipy (πŸ₯‡47 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 510K Β· πŸ“¦ 75K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 10 Β· πŸ“‹ 9.6K - 17% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/sympy/sympy + git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.6M / month Β· πŸ“¦ 4.6K Β· ⏱️ 10.05.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 61M / month Β· πŸ“¦ 63K Β· ⏱️ 28.06.2023): ``` - pip install sympy + pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 41M Β· ⏱️ 29.06.2023): ``` - conda install -c conda-forge sympy + conda install -c conda-forge scipy ```
Gradio (πŸ₯‡42 Β· ⭐ 21K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.4K Β· πŸ“¦ 11K Β· πŸ“‹ 2.6K - 14% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.4K Β· πŸ“¦ 12K Β· πŸ“‹ 2.6K - 14% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.9M / month Β· πŸ“¦ 130 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.3M / month Β· πŸ“¦ 140 Β· ⏱️ 11.08.2023): ``` pip install gradio ```
-
Streamlit (πŸ₯‡40 Β· ⭐ 26K) - Streamlit A faster way to build and share data apps. Apache-2 +
Streamlit (πŸ₯‡40 Β· ⭐ 27K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 920 Β· πŸ“‹ 3.5K - 19% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 930 Β· πŸ“‹ 3.5K - 19% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.2M / month Β· πŸ“¦ 950 Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.3M / month Β· πŸ“¦ 960 Β· ⏱️ 20.07.2023): ``` pip install streamlit ``` @@ -8311,7 +8326,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.1M / month Β· πŸ“¦ 310 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.2M / month Β· πŸ“¦ 310 Β· ⏱️ 23.06.2023): ``` pip install autograd ``` @@ -8322,12 +8337,12 @@ _Libraries for connecting to, operating, and querying databases._
DeepChem (πŸ₯‡36 Β· ⭐ 4.5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“¦ 240 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“¦ 240 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 14K / month Β· πŸ“¦ 8 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 11K / month Β· πŸ“¦ 8 Β· ⏱️ 17.08.2023): ``` pip install deepchem ``` @@ -8338,19 +8353,19 @@ _Libraries for connecting to, operating, and querying databases._
carla (πŸ₯‡33 Β· ⭐ 9.5K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 510 Β· πŸ“‹ 4.6K - 17% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 520 Β· πŸ“‹ 4.6K - 17% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 19K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): ``` pip install carla ```
Datasette (πŸ₯‡33 Β· ⭐ 8.1K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 560 Β· πŸ“₯ 53 Β· πŸ“¦ 1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 560 Β· πŸ“₯ 55 Β· πŸ“¦ 1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/simonw/datasette @@ -8359,14 +8374,14 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge datasette ```
PyOD (πŸ₯‡33 Β· ⭐ 7.3K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.6K Β· πŸ“‹ 330 - 56% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.7K Β· πŸ“‹ 330 - 56% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/yzhao062/pyod @@ -8375,7 +8390,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 77K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 78K Β· ⏱️ 26.06.2023): ``` conda install -c conda-forge pyod ``` @@ -8398,12 +8413,12 @@ _Libraries for connecting to, operating, and querying databases._
Pythran (πŸ₯‡33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 190 Β· πŸ“¦ 1.1K Β· πŸ“‹ 820 - 15% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.1K Β· πŸ“‹ 820 - 15% open Β· ⏱️ 13.08.2023): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 170K / month Β· πŸ“¦ 22 Β· ⏱️ 02.05.2023): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 160K / month Β· πŸ“¦ 22 Β· ⏱️ 02.05.2023): ``` pip install pythran ``` @@ -8414,12 +8429,12 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯‡33 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 590 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 600 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 35K / month Β· πŸ“¦ 56 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 38K / month Β· πŸ“¦ 56 Β· ⏱️ 02.08.2023): ``` pip install pennylane ``` @@ -8447,23 +8462,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 13K / month Β· πŸ“¦ 25 Β· ⏱️ 26.06.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 14K / month Β· πŸ“¦ 25 Β· ⏱️ 26.06.2023): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 48K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge river ```
agate (πŸ₯ˆ32 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 150 Β· πŸ“¦ 2K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 14.06.2023): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 150 Β· πŸ“¦ 2.1K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 14.06.2023): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.5M / month Β· πŸ“¦ 140 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.6M / month Β· πŸ“¦ 140 Β· ⏱️ 04.01.2023): ``` pip install agate ``` @@ -8474,28 +8489,28 @@ _Libraries for connecting to, operating, and querying databases._
pyopencl (πŸ₯ˆ32 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 240 Β· πŸ“¦ 1.6K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.6K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 70K / month Β· πŸ“¦ 200 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 200 Β· ⏱️ 15.08.2023): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 920K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 930K Β· ⏱️ 15.08.2023): ``` conda install -c conda-forge pyopencl ```
adapter-transformers (πŸ₯ˆ31 Β· ⭐ 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 210 Β· πŸ“‹ 340 - 19% open Β· ⏱️ 22.05.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 220 Β· πŸ“‹ 340 - 19% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 17K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` pip install adapter-transformers ``` @@ -8516,18 +8531,18 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge tensorly ```
-
datalad (πŸ₯ˆ31 Β· ⭐ 440) - Keep code, data, containers under control with git and git-annex. MIT +
datalad (πŸ₯ˆ31 Β· ⭐ 450) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 14K / month Β· πŸ“¦ 61 Β· ⏱️ 03.07.2023): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 13K / month Β· πŸ“¦ 61 Β· ⏱️ 10.08.2023): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 380K Β· ⏱️ 03.07.2023): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 380K Β· ⏱️ 10.08.2023): ``` conda install -c conda-forge datalad ``` @@ -8539,31 +8554,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 290K / month Β· πŸ“¦ 1 Β· ⏱️ 10.07.2023): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 280K / month Β· πŸ“¦ 1 Β· ⏱️ 10.07.2023): ``` pip install causalml ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.4K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 39 Β· πŸ“‹ 730 - 10% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 40 Β· πŸ“‹ 730 - 10% open Β· ⏱️ 02.08.2023): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` pip install avalanche-lib ```
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 440 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 03.08.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 440 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 03.08.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 35K / month Β· πŸ“¦ 18 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 27.07.2023): ``` pip install pyjanitor ``` @@ -8574,7 +8589,7 @@ _Libraries for connecting to, operating, and querying databases._
alibi-detect (πŸ₯ˆ29 Β· ⭐ 1.9K) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“¦ 360 Β· πŸ“‹ 360 - 36% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 370 Β· πŸ“‹ 360 - 36% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/SeldonIO/alibi-detect @@ -8591,7 +8606,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 8.8K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 8.7K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8607,47 +8622,47 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 200K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 190K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 33K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 34K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ```
-
pysc2 (πŸ₯‰28 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 +
pandas-ai (πŸ₯‰28 Β· ⭐ 8.2K Β· 🐣) - PandasAI is a Python library that integrates generative artificial.. MIT -- [GitHub](https://github.com/deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 30K Β· πŸ“¦ 590 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 620 Β· πŸ“¦ 830 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 17.08.2023): ``` - git clone https://github.com/deepmind/pysc2 + git clone https://github.com/gventuri/pandas-ai ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pandas-ai): ``` - pip install pysc2 + pip install pandas-ai ```
-
pandas-ai (πŸ₯‰27 Β· ⭐ 8.1K Β· 🐣) - PandasAI is a Python library that integrates generative artificial.. MIT +
pysc2 (πŸ₯‰28 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 600 Β· πŸ“¦ 230 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 590 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): ``` - git clone https://github.com/gventuri/pandas-ai + git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pandas-ai): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.1K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` - pip install pandas-ai + pip install pysc2 ```
anomalib (πŸ₯‰27 Β· ⭐ 2.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 400 Β· πŸ“₯ 1.6K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 14% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 410 Β· πŸ“₯ 1.7K Β· πŸ“¦ 21 Β· πŸ“‹ 560 - 13% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 7K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2023): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 7.4K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2023): ``` pip install anomalib ``` @@ -8659,23 +8674,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 8.9K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.5K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
-
Prince (πŸ₯‰27 Β· ⭐ 1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT +
Prince (πŸ₯‰27 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 170 Β· πŸ“¦ 400 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 50K / month Β· πŸ“¦ 9 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 51K / month Β· πŸ“¦ 9 Β· ⏱️ 08.08.2023): ``` pip install prince ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis): ``` conda install -c conda-forge prince-factor-analysis ``` @@ -8687,7 +8702,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 6.2K / month Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 6.1K / month Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8699,7 +8714,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 83K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 89K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ``` @@ -8718,19 +8733,19 @@ _Libraries for connecting to, operating, and querying databases._
dstack (πŸ₯‰26 Β· ⭐ 770) - Cost-effective LLM development in any cloud (AWS, GCP, Azure, Lambda,.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 11 Β· πŸ“‹ 350 - 6% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 11 Β· πŸ“‹ 360 - 6% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.5K / month Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.3K / month Β· ⏱️ 10.08.2023): ``` pip install dstack ```
AugLy (πŸ₯‰25 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 280 Β· πŸ“¦ 74 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 280 Β· πŸ“¦ 75 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/facebookresearch/AugLy @@ -8751,23 +8766,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install feature_engine ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 37K Β· ⏱️ 10.07.2023): +- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 38K Β· ⏱️ 10.07.2023): ``` conda install -c conda-forge feature_engine ```
gplearn (πŸ₯‰25 Β· ⭐ 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 420 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 04.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 420 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.4K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gplearn ``` @@ -8779,36 +8794,36 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 17.08.2023): ``` pip install modAL ```
-
MONAILabel (πŸ₯‰24 Β· ⭐ 440) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (πŸ₯‰24 Β· ⭐ 450) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“₯ 59K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“₯ 60K Β· πŸ“‹ 450 - 18% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 590 / month Β· ⏱️ 06.08.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 620 / month Β· ⏱️ 13.08.2023): ``` pip install monailabel-weekly ```
SUOD (πŸ₯‰24 Β· ⭐ 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 45 Β· πŸ“¦ 480 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 45 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 100K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 79K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): ``` pip install suod ```
-
AstroML (πŸ₯‰23 Β· ⭐ 930 Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
AstroML (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 280 Β· πŸ“‹ 160 - 39% open Β· ⏱️ 12.12.2022): @@ -8826,12 +8841,12 @@ _Libraries for connecting to, operating, and querying databases._
BioPandas (πŸ₯‰23 Β· ⭐ 630) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 190 Β· πŸ“‹ 55 - 41% open Β· ⏱️ 31.07.2023): +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 200 Β· πŸ“‹ 55 - 41% open Β· ⏱️ 31.07.2023): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.6K / month Β· πŸ“¦ 18 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.3K / month Β· πŸ“¦ 18 Β· ⏱️ 13.05.2022): ``` pip install biopandas ``` @@ -8842,48 +8857,48 @@ _Libraries for connecting to, operating, and querying databases._
rrcf (πŸ₯‰21 Β· ⭐ 450) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 22.05.2023): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 51 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 5.7K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3.9K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` pip install rrcf ```
-
pykale (πŸ₯‰21 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 56 Β· πŸ“¦ 1 Β· πŸ“‹ 110 - 8% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“¦ 11 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 19.07.2023): ``` - git clone https://github.com/pykale/pykale + git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 210 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 490 / month Β· ⏱️ 07.09.2022): ``` - pip install pykale + pip install pythae ```
-
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
pykale (πŸ₯‰20 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“¦ 11 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 56 Β· πŸ“¦ 1 Β· πŸ“‹ 110 - 8% open Β· ⏱️ 21.07.2023): ``` - git clone https://github.com/clementchadebec/benchmark_VAE + git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 460 / month Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 79 / month Β· ⏱️ 12.04.2022): ``` - pip install pythae + pip install pykale ```
NeuralCompression (πŸ₯‰17 Β· ⭐ 360) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 37 Β· πŸ“‹ 68 - 10% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 37 Β· πŸ“‹ 69 - 10% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 75 / month Β· ⏱️ 12.01.2022): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 78 / month Β· ⏱️ 12.01.2022): ``` pip install neuralcompression ``` @@ -8895,14 +8910,14 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 59 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 74 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
Show 19 hidden projects... -- cleanlab (πŸ₯ˆ30 Β· ⭐ 6.3K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- cleanlab (πŸ₯ˆ30 Β· ⭐ 6.4K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - Cython BLIS (πŸ₯ˆ30 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - pyclustering (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - metric-learn (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - Metric learning algorithms in Python. MIT @@ -8916,7 +8931,7 @@ _Libraries for connecting to, operating, and querying databases._ - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - apricot (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT -- pymdp (πŸ₯‰19 Β· ⭐ 280) - A Python implementation of active inference for Markov Decision Processes. MIT +- pymdp (πŸ₯‰20 Β· ⭐ 290) - A Python implementation of active inference for Markov Decision Processes. MIT - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT diff --git a/history/2023-08-17_changes.md b/history/2023-08-17_changes.md new file mode 100644 index 00000000..79fcae04 --- /dev/null +++ b/history/2023-08-17_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +- Plotly (πŸ₯‡39 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +- CuPy (πŸ₯‡38 Β· ⭐ 7.1K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT +- Tokenizers (πŸ₯‡37 Β· ⭐ 7.4K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +- ivy (πŸ₯ˆ36 Β· ⭐ 13K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ“ˆ) - Python package for AutoML on Tabular Data with Feature.. MIT +- TFX (πŸ₯ˆ31 Β· ⭐ 2K Β· πŸ“ˆ) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +- litellm (πŸ₯‰24 Β· ⭐ 580 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- torchvision (πŸ₯‡38 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- InsightFace (πŸ₯ˆ32 Β· ⭐ 17K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ“‰) - A library for transfer learning by reusing parts of.. Apache-2 +- opencv-python (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Tesseract (πŸ₯‰27 Β· ⭐ 5K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +- DeepSpeech (πŸ₯‰24 Β· ⭐ 22K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Augmentor (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ“‰) - Image augmentation library in Python for machine learning. MIT +- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed +- TensorForce (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ“‰) - Tensorforce: a TensorFlow library for applied.. Apache-2 +- sklearn-evaluation (πŸ₯‰9 Β· ⭐ 1 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT + diff --git a/history/2023-08-17_projects.csv b/history/2023-08-17_projects.csv new file mode 100644 index 00000000..86741ae6 --- /dev/null +++ b/history/2023-08-17_projects.csv @@ -0,0 +1,915 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,pypi_latest_release_published_at,pypi_dependent_project_count,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,updated_github_id,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-08-10 21:04:26.000000,2023-08-03 10:15:33,1512.0,59.0,568.0,107.0,296.0,44.0,122.0,3954,Benchmarks of approximate nearest neighbor libraries in Python.,94.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-08-10 17:51:03.000000,2023-08-10 17:51:02,257.0,26.0,151.0,51.0,154.0,1.0,2.0,1981,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-08-10 17:51:09.000,2023.08.10,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-17 13:35:45.000000,2023-08-17 13:35:45,274.0,27.0,215.0,88.0,156.0,4.0,4.0,3095,Collection of data-loading and -extraction libraries.,11.0,0,True,2023-08-17 13:35:52.000,2023.08.17,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-17 13:35:45.000000,2023-08-17 13:35:45,274.0,27.0,215.0,88.0,156.0,4.0,4.0,3095,Collection of database clients for python.,11.0,0,True,2023-08-17 13:35:52.000,2023.08.17,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-17 13:35:45.000000,2023-08-17 13:35:45,274.0,27.0,215.0,88.0,156.0,4.0,4.0,3095,"Collection of data-container, dataframe, and pandas-utility libraries.",11.0,0,True,2023-08-17 13:35:52.000,2023.08.17,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-08-17 13:35:45.000000,2023-08-17 13:35:45,274.0,27.0,215.0,88.0,156.0,4.0,4.0,3095,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",11.0,0,True,2023-08-17 13:35:52.000,2023.08.17,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-08-17 13:56:04.000000,2023-08-17 13:55:58,152502.0,4221.0,71658.0,7699.0,23272.0,1917.0,35820.0,179175,An Open Source Machine Learning Framework for Everyone.,4419.0,55,True,2023-07-05 19:49:02.000,2.12.1,100.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],298656.0,298656.0,https://pypi.org/project/tensorflow,16147476.0,17556538.0,https://anaconda.org/conda-forge/tensorflow,2023-07-21 23:54:54.123,4298968.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-08-17 12:49:25.275453,2187.0,73927998.0,1.0,,,,,,,,,,,,,,,,,,,,,, +7,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2023-08-17 11:22:54.000000,2023-08-16 15:26:07,30270.0,298.0,24554.0,2151.0,15892.0,2228.0,8731.0,55412,scikit-learn: machine learning in Python.,2965.0,52,True,2023-06-30 08:07:27.000,1.3.0,71.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],610569.0,581532.0,https://pypi.org/project/scikit-learn,40037514.0,40648191.0,https://anaconda.org/conda-forge/scikit-learn,2023-06-30 12:52:16.828,23816043.0,,,,,1.0,891.0,2023-06-30 07:56:57.845,29037.0,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-08-17 14:15:42.000000,2023-08-17 13:30:46,13717.0,788.0,20855.0,1050.0,12767.0,599.0,11882.0,110320,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2080.0,50,True,2023-07-18 20:16:04.000,4.31.0,100.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",91925.0,91925.0,https://pypi.org/project/transformers,15517997.0,15552114.0,https://anaconda.org/conda-forge/transformers,2023-07-19 01:32:52.190,1262243.0,,,,,1.0,142.0,,,,,,,,,,,,,,,,,,,,, +9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2023-08-17 10:23:31.000000,2023-08-16 08:46:12,48152.0,794.0,6826.0,588.0,16842.0,1187.0,8488.0,17886,matplotlib: plotting with Python.,1544.0,48,True,2023-07-05 20:58:47.000,3.7.2,75.0,matplotlib,conda-forge/matplotlib,,,,918097.0,918097.0,https://pypi.org/project/matplotlib,37164395.0,37691407.0,https://anaconda.org/conda-forge/matplotlib,2023-07-06 23:58:47.375,20026479.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +10,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-08-17 14:29:38.000000,2023-08-17 11:53:29,55169.0,919.0,3997.0,291.0,12563.0,4826.0,8456.0,11188,A computer algebra system written in pure Python.,1236.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,80799.0,76216.0,https://pypi.org/project/sympy,9738081.0,9788711.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4038771.0,,,,,1.0,509204.0,2023-05-10 18:24:09.226,4583.0,,,,,,,,,,,,,,,,,,, +11,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-08-17 14:09:44.000000,2023-08-17 11:19:44,63016.0,2654.0,18429.0,1670.0,71383.0,11592.0,24146.0,69829,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4272.0,47,True,2023-05-08 19:55:19.000,2.0.1,45.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],10.0,10.0,https://pypi.org/project/torch,10872762.0,11647968.0,https://anaconda.org/pytorch/pytorch,2023-06-16 19:17:28.406,17823644.0,,,,,1.0,22038.0,,,,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-08-17 10:36:58.000000,2023-08-17 05:36:29,30647.0,500.0,4875.0,346.0,9768.0,1680.0,7900.0,11588,"Ecosystem of open-source software for mathematics, science, and engineering.",1517.0,47,True,2023-07-20 15:29:08.882,0.7.2,95.0,scipy,conda-forge/scipy,,,,63189.0,10.0,https://pypi.org/project/scipy,60971405.0,62209610.0,https://anaconda.org/conda-forge/scipy,2023-06-29 03:20:27.591,40731938.0,,,,,1.0,378729.0,2023-06-28 21:46:30.209,63179.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-08-12 10:33:38.000000,2023-08-11 09:49:02,15130.0,262.0,2075.0,221.0,4352.0,105.0,2780.0,11054,Python Imaging Library (Fork).,443.0,47,True,2023-07-01 14:57:58.842,10.0.0,93.0,Pillow,conda-forge/pillow,,,,1365937.0,1299908.0,https://pypi.org/project/Pillow,62461816.0,63312097.0,https://anaconda.org/conda-forge/pillow,2023-07-02 00:52:56.834,31460415.0,,,,,1.0,,2023-07-01 14:57:58.842,66029.0,,,,,,,,,,,,,,,,,,, +14,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-08-17 11:23:39.000000,2023-08-16 07:33:37,20191.0,90.0,4122.0,445.0,5788.0,771.0,6646.0,17850,"Interactive Data Visualization in the browser, from Python.",667.0,45,True,2023-08-14 02:42:48.000,3.2.2,174.0,bokeh,conda-forge/bokeh,,,,77935.0,74202.0,https://pypi.org/project/bokeh,3669500.0,3992303.0,https://anaconda.org/conda-forge/bokeh,2023-08-14 08:47:36.698,12266548.0,,,,,1.0,,2023-08-14 02:42:48.000,3733.0,3.0,,,,,,,,,,,,,,,,,, +15,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-08-16 15:33:02.000000,2023-08-10 17:52:58,15098.0,43.0,2564.0,278.0,3799.0,2482.0,2692.0,8770,Statsmodels: statistical modeling and econometrics in Python.,416.0,45,True,2023-05-05 10:52:12.000,0.14.0,25.0,statsmodels,conda-forge/statsmodels,,,,100135.0,100135.0,https://pypi.org/project/statsmodels,11235056.0,11362457.0,https://anaconda.org/conda-forge/statsmodels,2023-06-16 13:16:44.091,10956500.0,,,,,1.0,29.0,,,,,,,,,,,,,,,,,,,,, +16,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-08-17 14:26:05.000000,2023-08-17 14:17:19,18675.0,1284.0,4691.0,458.0,23305.0,3156.0,12102.0,27119,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,899.0,44,True,2023-08-15 16:40:29.000,ray-2.6.3,89.0,ray,conda-forge/ray-tune,,,,11349.0,10954.0,https://pypi.org/project/ray,2176322.0,2181199.0,https://anaconda.org/conda-forge/ray-tune,2023-08-17 00:56:02.998,156043.0,,,,,1.0,86.0,2023-08-15 16:39:07.000,395.0,,,,,,,,,,,,,,,,,,, +17,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-08-16 15:36:53.000000,2023-08-16 15:28:34,15982.0,65.0,4206.0,551.0,3845.0,87.0,5384.0,26885,Industrial-strength Natural Language Processing (NLP) in Python.,735.0,44,True,2023-08-08 14:45:58.000,3.6.1,223.0,spacy,conda-forge/spacy,,,,69493.0,66722.0,https://pypi.org/project/spacy,5988367.0,6071864.0,https://anaconda.org/conda-forge/spacy,2023-08-09 19:17:06.552,3172886.0,,,,,1.0,,2023-08-08 14:43:34.000,2771.0,,,,,,,,,,,,,,,,,,, +18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-08-17 10:53:37.000000,2023-08-17 08:01:39,6506.0,154.0,8624.0,912.0,4604.0,386.0,4574.0,24479,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",621.0,44,True,2023-06-19 03:01:12.670,1.7.6,75.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,65837.0,64174.0,https://pypi.org/project/xgboost,10110839.0,10223659.0,https://anaconda.org/conda-forge/xgboost,2023-08-05 01:52:21.106,4172094.0,,,,,1.0,6921.0,2023-06-19 03:01:12.670,1663.0,,,,,,,,,,,,,,,,,,, +19,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-08-17 14:04:27.000000,2023-08-17 14:04:26,4520.0,500.0,3516.0,292.0,6119.0,1197.0,2070.0,15025,Open source platform for the machine learning lifecycle.,620.0,44,True,2023-08-15 07:11:16.000,2.6.0,80.0,mlflow,conda-forge/mlflow,,,,23220.0,22746.0,https://pypi.org/project/mlflow,13974252.0,14012223.0,https://anaconda.org/conda-forge/mlflow,2023-08-15 08:47:37.291,1442907.0,,,,,1.0,,2023-08-15 06:14:52.000,474.0,,,,,,,,,,,,,,,,,,, +20,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-08-17 02:43:29.000000,2023-08-13 06:11:52,7355.0,65.0,2973.0,280.0,3368.0,397.0,2825.0,13040,Network Analysis in Python.,661.0,44,True,2023-04-04 20:05:38.000,networkx-3.1,89.0,networkx,conda-forge/networkx,,,,192527.0,178062.0,https://pypi.org/project/networkx,26672651.0,26828676.0,https://anaconda.org/conda-forge/networkx,2023-06-16 13:18:51.990,12794125.0,,,,,1.0,65.0,2023-04-04 20:09:20.051,14465.0,,,,,,,,,,,,,,,,,,, +21,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-08-17 01:34:14.000000,2023-08-17 01:34:06,8336.0,113.0,18492.0,1917.0,6526.0,280.0,11502.0,59038,Deep Learning for humans.,1200.0,43,True,2023-06-27 23:42:33.000,2.13.1,51.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],10.0,10.0,https://pypi.org/project/keras,10653430.0,10737353.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3189097.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +22,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-08-17 13:44:19.000000,2023-08-17 13:44:12,17080.0,930.0,2191.0,313.0,10665.0,1186.0,3214.0,24179,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",564.0,43,True,2023-07-27 23:20:52.000,jax-v0.4.14,79.0,jax,conda-forge/jaxlib,,,,16502.0,16502.0,https://pypi.org/project/jax,2853848.0,2877015.0,https://anaconda.org/conda-forge/jaxlib,2023-07-30 18:45:00.131,880352.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +23,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-08-15 20:12:19.000000,2023-08-15 20:12:16,3318.0,47.0,3761.0,442.0,2959.0,306.0,2791.0,15372,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",287.0,43,True,2023-07-13 21:20:18.278,4.0.0,33.0,lightgbm,conda-forge/lightgbm,,,,25068.0,24291.0,https://pypi.org/project/lightgbm,6364548.0,6422151.0,https://anaconda.org/conda-forge/lightgbm,2023-07-14 13:55:17.383,1925049.0,,,,,1.0,197791.0,2023-07-13 21:20:18.278,777.0,,,,,,,,,,,,,,,,,,, +24,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-08-17 10:12:57.000000,2023-08-17 10:12:57,7840.0,82.0,1641.0,214.0,5411.0,939.0,4015.0,11293,Parallel computing with task scheduling.,584.0,43,True,2023-08-04 18:12:22.000,2023.8.0,176.0,dask,conda-forge/dask,,,,54734.0,51800.0,https://pypi.org/project/dask,8435922.0,8686537.0,https://anaconda.org/conda-forge/dask,2023-08-05 02:08:21.831,9773987.0,,,,,1.0,,2023-08-04 18:12:22.000,2934.0,,stable/dask,,,,,,,,,,,,,,,,, +25,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-08-16 21:38:56.000000,2023-08-16 15:36:16,5630.0,128.0,1604.0,192.0,4745.0,640.0,1201.0,6328,TensorFlows Visualization Toolkit.,305.0,43,True,2023-08-08 22:35:21.000,2.14.0,53.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],185935.0,183183.0,https://pypi.org/project/tensorboard,19160229.0,19270832.0,https://anaconda.org/conda-forge/tensorboard,2023-08-09 15:42:17.420,4202915.0,,,,,1.0,,2023-08-08 22:35:21.000,2752.0,,,,,,,,,,,,,,,,,,, +26,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-08-17 14:12:55.000000,2023-08-16 18:27:39,5536.0,403.0,1423.0,131.0,2273.0,389.0,2208.0,21021,"Wrap UIs around any model, share with anyone.",192.0,42,True,2023-08-11 02:25:03.000,3.40.1,481.0,gradio,,,,,11801.0,11666.0,https://pypi.org/project/gradio,4302703.0,4302703.0,,,,,,,,1.0,,2023-08-11 02:24:42.000,135.0,,,,,,,,,,,,,,,,,,, +27,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-08-17 13:52:32.000000,2023-08-17 12:38:22,43107.0,1283.0,5094.0,728.0,39091.0,1085.0,16055.0,20735,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1082.0,42,True,2023-07-25 11:09:59.000,2.5.0,60.0,paddlepaddle,,,,['paddle'],276.0,276.0,https://pypi.org/project/paddlepaddle,169269.0,169451.0,,,,,,,,2.0,15356.0,,,,,,,,,,,,,,,,,,,,, +28,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-08-17 12:16:54.000000,2023-08-16 22:18:46,2476.0,113.0,3568.0,432.0,2886.0,374.0,2142.0,15332,Open standard for machine learning interoperability.,291.0,42,True,2023-05-05 16:35:02.000,1.14.0,29.0,onnx,conda-forge/onnx,,,,18240.0,17679.0,https://pypi.org/project/onnx,2701833.0,2723317.0,https://anaconda.org/conda-forge/onnx,2023-07-12 10:54:40.179,806055.0,,,,,1.0,19155.0,2023-05-04 23:16:04.549,561.0,,,,,,,,,,,,,,,,,,, +29,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-08-17 09:27:51.000000,2023-08-17 09:27:47,4493.0,50.0,2019.0,1703.0,4309.0,225.0,2511.0,11102,WebGL2 powered visualization framework.,233.0,42,True,2023-08-03 19:35:44.280,8.9.23,606.0,pydeck,conda-forge/pydeck,,,['jupyter'],6865.0,6363.0,https://pypi.org/project/pydeck,1436578.0,1899647.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,424746.0,,,,,1.0,,2023-04-15 06:29:01.705,36.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-08-03 19:35:44.280,466.0,452956.0,,,,,,,,,,,, +30,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-08-15 22:51:38.000000,2023-08-09 00:56:45,3157.0,11.0,1691.0,256.0,1018.0,124.0,2233.0,10995,Statistical data visualization in Python.,198.0,42,True,2022-12-30 19:12:05.000,0.12.2,33.0,seaborn,conda-forge/seaborn,,,,291396.0,291396.0,https://pypi.org/project/seaborn,9921407.0,10007503.0,https://anaconda.org/conda-forge/seaborn,2023-06-16 13:21:42.625,7231971.0,,,,,1.0,259.0,,,,,,,,,,,,,,,,,,,,, +31,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-08-17 01:01:04.000000,2023-08-16 13:18:37,13663.0,117.0,2085.0,187.0,4210.0,511.0,1986.0,5547,Image processing in Python.,624.0,42,False,2023-06-02 05:03:22.000,0.21.0,22.0,scikit-image,conda-forge/scikit-image,,,,150837.0,150837.0,https://pypi.org/project/scikit-image,8153774.0,8296761.0,https://anaconda.org/conda-forge/scikit-image,2023-07-08 14:10:33.891,5433520.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +32,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-08-17 12:39:43.000000,2023-08-17 10:58:52,1735.0,200.0,3350.0,302.0,2026.0,919.0,1169.0,27733,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",230.0,41,True,2023-07-17 17:55:55.000,0.10.0,68.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],2790.0,2729.0,https://pypi.org/project/deepspeed,512589.0,512984.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,3.0,17026.0,1.0,,2023-07-17 17:50:40.815,61.0,,,,,,,,,,,,,,,,,,, +33,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-08-15 16:26:24.000000,2023-08-11 12:42:06,2472.0,143.0,2970.0,257.0,653.0,1437.0,845.0,19916,A game theoretic approach to explain the output of any machine learning model.,218.0,41,True,2023-07-15 11:31:17.694,0.42.1,98.0,shap,conda-forge/shap,,,,13163.0,12767.0,https://pypi.org/project/shap,6975612.0,7039396.0,https://anaconda.org/conda-forge/shap,2023-07-26 09:30:41.606,2041102.0,,,,,1.0,,2023-07-15 11:31:17.694,396.0,,,,,,,,shap/shap,,,,,,,,,,, +34,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-08-17 12:59:37.000000,2023-08-17 12:58:31,8924.0,203.0,1077.0,137.0,5109.0,568.0,3864.0,11867,Data Version Control | Git for Data & Models | ML Experiments Management.,285.0,41,True,2023-08-16 03:19:42.000,3.15.3,466.0,dvc,conda-forge/dvc,,,,9072.0,9005.0,https://pypi.org/project/dvc,710566.0,757508.0,https://anaconda.org/conda-forge/dvc,2023-08-12 22:42:53.289,1667763.0,,,,,1.0,36657.0,2023-08-16 03:20:46.000,67.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +35,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-08-14 13:25:13.000000,2023-08-13 11:08:36,3540.0,42.0,698.0,150.0,1242.0,179.0,1650.0,8424,Declarative statistical visualization library for Python.,156.0,41,True,2023-05-26 21:55:53.000,5.0.1,23.0,altair,conda-forge/altair,,,,68412.0,68412.0,https://pypi.org/project/altair,13991187.0,14089140.0,https://anaconda.org/conda-forge/altair,2023-07-12 14:27:15.237,1959063.0,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,,,, +36,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-08-17 14:30:55.000000,2023-08-17 14:10:43,5679.0,334.0,534.0,53.0,3421.0,690.0,1980.0,7087,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,154.0,41,True,2023-08-01 21:13:51.000,0.15.8,259.0,wandb,conda-forge/wandb,,,,28308.0,27809.0,https://pypi.org/project/wandb,4668346.0,4677200.0,https://anaconda.org/conda-forge/wandb,2023-08-03 02:01:41.391,327624.0,,,,,1.0,,2023-08-01 21:11:58.000,499.0,,,,,,,,wandb/wandb,,,,,,,,,,, +37,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-08-01 15:41:14.000000,2023-01-30 18:15:21,1757.0,,8561.0,1046.0,1448.0,68.0,1714.0,32551,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,47426.0,44769.0,https://pypi.org/project/gym,376325.0,382409.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,243367.0,,,,,1.0,,2022-10-04 23:58:42.348,2657.0,,,,,,,,,,,,,,,,,,, +38,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-08-17 14:39:43.000000,2023-08-16 23:32:35,5676.0,161.0,2349.0,300.0,3581.0,677.0,2852.0,26564,Streamlit A faster way to build and share data apps.,192.0,40,True,2023-07-20 22:07:55.000,1.25.0,204.0,streamlit,,,,,1894.0,931.0,https://pypi.org/project/streamlit,2295203.0,2295203.0,,,,,,,,1.0,,2023-07-20 22:07:48.000,963.0,,,,,,,,,,,,,,,,,,, +39,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-08-17 04:22:03.341000,2023-08-16 15:59:07,6974.0,158.0,1921.0,415.0,982.0,763.0,828.0,19156,Data Apps & Dashboards for Python. No JavaScript Required.,140.0,40,True,2023-08-16 18:05:53.000,2.12.1,170.0,dash,conda-forge/dash,,,,51655.0,50281.0,https://pypi.org/project/dash,2028187.0,2056013.0,https://anaconda.org/conda-forge/dash,2023-08-17 04:22:03.341,1057401.0,,,,,1.0,,2023-08-16 18:04:33.000,1374.0,,,,,,,,,,,,,,,,,,, +40,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-08-14 13:17:49.000000,2023-08-10 23:03:11,8426.0,106.0,2132.0,201.0,4082.0,14.0,1878.0,18975,"Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus,..",171.0,40,True,2023-08-10 15:51:36.000,3.20.1,2423.0,jina,conda-forge/jina-core,jinaai/jina,,,902.0,888.0,https://pypi.org/project/jina,240816.0,273020.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,53203.0,https://hub.docker.com/r/jinaai/jina,2023-08-10 16:05:47.069847,8.0,1255430.0,2.0,,2023-08-10 15:36:42.000,14.0,,,,,,,,,,,,,,,,,,, +41,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-08-17 13:13:15.000000,2023-08-16 09:55:38,32434.0,502.0,4407.0,347.0,6069.0,124.0,6642.0,16856,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",591.0,40,True,2023-08-13 13:12:48.000,3.8.0a2,343.0,rasa,,,,['tensorflow'],3669.0,3603.0,https://pypi.org/project/rasa,103013.0,103013.0,,,,,,,,1.0,,2023-08-13 13:12:38.000,66.0,,,,,,,,,,,,,,,,,,, +42,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-08-08 13:31:09.000000,2023-08-08 13:31:03,4471.0,4.0,4369.0,434.0,1673.0,402.0,1438.0,14573,Topic Modelling for Humans.,446.0,40,True,2023-03-10 06:20:03.685,4.3.1,92.0,gensim,conda-forge/gensim,,,,52215.0,49123.0,https://pypi.org/project/gensim,3818053.0,3833839.0,https://anaconda.org/conda-forge/gensim,2023-06-16 13:22:43.559,1117478.0,,,,,1.0,4449.0,2023-03-10 06:20:03.685,3092.0,,,,,,,,,,,,,,,,,,, +43,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-08-02 03:12:32.000000,2023-06-02 02:45:47,14445.0,1.0,2646.0,467.0,1426.0,243.0,1483.0,12236,Suite of libraries and programs for symbolic and statistical natural language processing for English.,441.0,40,True,,,17.0,nltk,conda-forge/nltk,,,,212892.0,212892.0,https://pypi.org/project/nltk,11364201.0,11389742.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2145464.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +44,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-08-15 20:50:21.000000,2023-08-06 13:33:09,8218.0,20.0,3243.0,479.0,669.0,47.0,2099.0,12167,A toolkit for making real world machine learning and data analysis applications in C++.,189.0,40,False,2023-06-03 20:05:00.841,19.24.2,34.0,dlib,conda-forge/dlib,,,,22332.0,21546.0,https://pypi.org/project/dlib,135261.0,142875.0,https://anaconda.org/conda-forge/dlib,2023-06-05 15:05:40.278,610560.0,,,,,2.0,25288.0,2022-05-08 14:40:14.000,786.0,,,,,,,,,,,,,,,,,,, +45,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-08-17 10:52:07.000000,2023-08-17 10:52:03,46322.0,400.0,1117.0,195.0,362.0,500.0,1607.0,7308,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1161.0,40,True,2023-05-01 23:11:47.000,1.2,106.0,catboost,conda-forge/catboost,,,,326.0,9.0,https://pypi.org/project/catboost,1913218.0,1937307.0,https://anaconda.org/conda-forge/catboost,2023-06-16 16:11:52.269,1366468.0,,,,,2.0,170421.0,2023-05-01 15:32:51.095,317.0,,,,,,,,,,,,,,,,,,, +46,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-08-17 13:49:18.000000,2023-08-17 13:49:18,5452.0,148.0,701.0,57.0,4649.0,1419.0,2229.0,1484,A distributed task scheduler for Dask.,316.0,40,True,2023-08-04 18:12:16.000,2023.8.0,208.0,distributed,conda-forge/distributed,,,,31343.0,30065.0,https://pypi.org/project/distributed,5550982.0,5850925.0,https://anaconda.org/conda-forge/distributed,2023-08-05 01:21:28.837,11697796.0,,,,,1.0,,2023-08-04 18:12:16.000,1278.0,,,,,,,,,,,,,,,,,,, +47,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-08-17 07:01:28.000000,2023-08-17 07:01:28,2685.0,25.0,7423.0,612.0,2186.0,165.0,1578.0,24367,The fastai deep learning library.,654.0,39,True,2023-03-28 20:29:01.253,2.7.12,146.0,fastai,,,,['pytorch'],14753.0,14424.0,https://pypi.org/project/fastai,334314.0,334314.0,,,,,,,,2.0,,2023-03-28 20:29:01.253,329.0,,,,,,,,,,,,,,,,,,, +48,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-08-17 13:57:49.000000,2023-08-17 13:16:19,17762.0,650.0,2451.0,341.0,16495.0,674.0,8006.0,22246,"A cloud-native vector database, storage for next generation AI applications.",252.0,39,True,2023-08-09 08:16:18.000,2.2.13,100.0,pymilvus,,milvusdb/milvus,,,31.0,,https://pypi.org/project/pymilvus,468735.0,564433.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-08-17 13:28:20.500141,32.0,4329180.0,1.0,35880.0,2023-08-09 07:21:19.000,31.0,,,,,,,,,,,,,,,,,,, +49,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-08-16 21:22:51.337000,2023-08-16 19:47:12,6156.0,199.0,2335.0,280.0,1540.0,1338.0,1344.0,13967,The interactive graphing library for Python This project now includes Plotly Express!.,241.0,39,True,2023-08-16 18:25:11.000,5.16.1,95.0,plotly,conda-forge/plotly,,,,10.0,10.0,https://pypi.org/project/plotly,10980078.0,11139117.0,https://anaconda.org/conda-forge/plotly,2023-08-16 21:22:51.337,4632712.0,,,,,1.0,,,,2.0,,plotlywidget,https://www.npmjs.com/package/plotlywidget,,,40252.0,,,,,,,,,,,, +50,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-08-17 13:58:47.000000,2023-08-17 08:10:52,3310.0,268.0,2883.0,170.0,3845.0,416.0,2007.0,12088,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",273.0,39,True,2023-08-15 07:31:40.000,1.1.2,447.0,dgl,,,,,205.0,131.0,https://pypi.org/project/dgl,105201.0,105201.0,,,,,,,,1.0,,2023-08-15 07:12:36.000,74.0,,,,,,,,,,,,,,,,,,, +51,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-08-13 12:07:59.000000,2023-08-13 12:05:02,1039.0,107.0,1954.0,227.0,448.0,171.0,983.0,10056,Download market data from Yahoo! Finances API.,91.0,39,True,2023-08-13 12:07:59.000,0.2.28,97.0,yfinance,ranaroussi/yfinance,,,,26421.0,26166.0,https://pypi.org/project/yfinance,997205.0,1000372.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,79194.0,,,,,1.0,,2023-08-13 12:07:59.000,255.0,,,,,,,,,,,,,,,,,,, +52,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-08-17 07:42:44.000000,2023-08-17 06:32:22,16391.0,476.0,852.0,123.0,3187.0,128.0,1346.0,8505,A hyperparameter optimization framework.,236.0,39,False,2023-08-07 07:14:37.000,3.3.0,60.0,optuna,conda-forge/optuna,,,,9581.0,9189.0,https://pypi.org/project/optuna,1643642.0,1656370.0,https://anaconda.org/conda-forge/optuna,2023-08-07 10:47:33.490,483677.0,,,,,1.0,,2023-08-07 07:14:37.000,392.0,,,,,,,,,,,,,,,,,,, +53,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-08-17 13:35:22.000000,2023-08-17 04:22:08,1173.0,228.0,830.0,147.0,1301.0,312.0,448.0,7876,Development repository for the Triton language and compiler.,152.0,39,True,2023-03-03 02:41:05.821,2.0.0,190.0,triton,,,,,6169.0,6122.0,https://pypi.org/project/triton,4018196.0,4018196.0,,,,,,,,1.0,,2023-03-17 16:48:01.607,47.0,,,,,,,,,,,,,,,,,,, +54,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-08-17 13:22:03.000000,2023-08-16 21:34:02,9612.0,98.0,1800.0,229.0,3674.0,207.0,2893.0,7713,Bayesian Modeling in Python.,462.0,39,True,2023-08-09 08:31:31.000,5.7.2,67.0,pymc3,conda-forge/pymc3,,,,2107.0,1859.0,https://pypi.org/project/pymc3,410707.0,417223.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,532842.0,,,,,1.0,1923.0,2022-03-15 10:10:19.000,248.0,,,,,,,,,,,,,,,,,,, +55,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-08-17 14:01:09.000000,2023-08-17 09:32:22,3818.0,239.0,1118.0,105.0,2894.0,641.0,1236.0,6736,A unified framework for machine learning with time series.,280.0,39,True,2023-08-17 09:34:07.000,0.21.1,50.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1580.0,1539.0,https://pypi.org/project/sktime,790477.0,821980.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-07-22 20:03:34.420,787568.0,,,,,1.0,84.0,2023-07-20 11:38:47.000,41.0,,,,,,,,sktime/sktime,,,,,,,,,,, +56,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-08-11 11:01:37.000000,2023-07-26 10:19:53,1779.0,27.0,846.0,107.0,1417.0,429.0,1132.0,3799,Python tools for geographic data.,210.0,39,True,2023-06-06 14:56:58.336,0.13.2,48.0,geopandas,conda-forge/geopandas,,,['pandas'],26430.0,24841.0,https://pypi.org/project/geopandas,5368383.0,5402971.0,https://anaconda.org/conda-forge/geopandas,2023-06-06 13:24:28.136,3076166.0,,,,,1.0,2143.0,2023-06-06 14:56:58.336,1589.0,,,,,,,,,,,,,,,,,,, +57,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-08-17 14:11:44.000000,2023-08-17 10:02:49,37763.0,1001.0,26062.0,2040.0,42508.0,,,36463,Apache Spark Python API.,2924.0,38,True,,,32.0,pyspark,conda-forge/pyspark,,,['spark'],,,https://pypi.org/project/pyspark,25399176.0,25471457.0,https://anaconda.org/conda-forge/pyspark,2023-06-27 13:31:45.123,2746710.0,,,,,2.0,,,,,stable/spark,,,,,,,,,,,,,,,,, +58,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-08-17 14:08:48.000000,2023-08-17 10:51:25,9579.0,316.0,2911.0,237.0,9274.0,644.0,5724.0,24364,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",896.0,38,True,2023-08-16 07:30:01.000,2.0.7,100.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],,,https://pypi.org/project/pytorch-lightning,4096667.0,4121017.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-08-16 09:12:41.182,909586.0,,,,,2.0,12854.0,,,,,,,,,,,,,,,,,,,,, +59,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-08-17 10:08:45.000000,2023-08-17 10:05:03,868.0,51.0,3074.0,461.0,779.0,331.0,1829.0,23931,A library for efficient similarity search and clustering of dense vectors.,136.0,38,True,2023-08-09 07:21:19.000,2.2.15,82.0,pymilvus,conda-forge/faiss,,,,1882.0,1851.0,https://pypi.org/project/pymilvus,468735.0,490505.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,849061.0,,,,,1.0,,2023-08-09 07:21:19.000,31.0,,,,,,,,,,,,,,,,,,, +60,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-08-05 06:02:53.000000,2023-01-26 21:28:45,11896.0,,6880.0,1082.0,11117.0,1799.0,7763.0,20517,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],6930.0,6635.0,https://pypi.org/project/mxnet,416390.0,416839.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10043.0,,,,,2.0,26339.0,2022-05-17 21:11:13.000,290.0,,,,,,,,apache/mxnet,,,,5.0,,,,,,, +61,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-08-17 14:20:04.000000,2023-08-17 13:07:28,6887.0,210.0,3345.0,257.0,2273.0,826.0,2428.0,18272,Graph Neural Network Library for PyTorch.,431.0,38,True,2023-04-27 10:39:41.624,2.3.1,39.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],99.0,,https://pypi.org/project/torch-geometric,202453.0,203235.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,28937.0,,,,,1.0,,2023-04-27 10:39:41.624,99.0,,,,,,,,,,,,,,,,,,, +62,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-08-17 13:07:37.000000,2023-08-17 13:07:37,3617.0,119.0,6589.0,397.0,4911.0,736.0,2182.0,14415,"Datasets, Transforms and Models specific to Computer Vision.",546.0,38,True,2023-05-08 20:12:27.000,0.15.2,34.0,torchvision,conda-forge/torchvision,,,['pytorch'],10.0,10.0,https://pypi.org/project/torchvision,6804267.0,6832145.0,https://anaconda.org/conda-forge/torchvision,2023-06-22 22:01:34.204,797416.0,,,,,1.0,28969.0,,,-4.0,,,,,,,,,,,,,,,,,, +63,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-08-15 23:26:00.000000,2023-08-11 15:50:22,1329.0,54.0,1524.0,150.0,700.0,172.0,531.0,11009,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,111.0,38,True,2023-08-11 15:54:46.000,4.5.1,50.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1322.0,1134.0,https://pypi.org/project/pandas-profiling,950090.0,954728.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,389675.0,,,,,2.0,,2023-02-03 17:59:40.571,188.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,, +64,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-08-17 08:24:06.000000,2023-08-16 09:34:01,2516.0,77.0,857.0,126.0,1592.0,252.0,572.0,8495,Computer Vision and Robotics Library for AI.,223.0,38,True,2023-08-02 10:18:58.000,0.7.0,37.0,kornia,conda-forge/kornia,,,['pytorch'],5835.0,5729.0,https://pypi.org/project/kornia,2339458.0,2342416.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,94251.0,,,,,1.0,789.0,2023-08-02 10:18:58.000,106.0,,,,,,,,,,,,,,,,,,, +65,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-08-17 10:11:03.000000,2023-08-17 10:10:28,27413.0,469.0,700.0,129.0,5809.0,511.0,1548.0,7131,NumPy & SciPy for GPU.,348.0,38,True,2023-08-08 08:41:11.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,1883.0,1690.0,https://pypi.org/project/cupy,21016.0,101274.0,https://anaconda.org/conda-forge/cupy,2023-07-26 22:58:35.121,3007987.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57587.0,1.0,140424.0,2023-08-08 06:14:47.000,193.0,12.0,,,,,,,,,,,,,,,,,, +66,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-08-17 03:44:07.000000,2023-08-16 14:44:41,19155.0,1147.0,1973.0,179.0,3082.0,213.0,2010.0,6885,End-to-End Speech Processing Toolkit.,365.0,38,True,2023-08-03 13:36:23.000,.202308,50.0,espnet,,,,,224.0,219.0,https://pypi.org/project/espnet,31463.0,31464.0,,,,,,,,1.0,79.0,2023-08-03 13:37:00.000,5.0,,,,,,,,,,,,,,,,,,, +67,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-08-17 14:43:48.000000,2023-08-16 11:48:11,9109.0,704.0,1104.0,126.0,963.0,168.0,809.0,6427,A PyTorch-based Speech Toolkit.,219.0,38,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],904.0,890.0,https://pypi.org/project/speechbrain,201330.0,201330.0,,,,,,,,1.0,,2023-07-22 18:08:45.000,14.0,,,,,,,,,,,,,,,,,,, +68,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-08-15 08:38:49.000000,2023-08-15 08:38:44,1690.0,22.0,2195.0,168.0,766.0,55.0,967.0,6356,Python Data. Leaflet.js Maps.,152.0,38,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,28596.0,27822.0,https://pypi.org/project/folium,640328.0,665424.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2233610.0,,,,,1.0,,2022-12-12 20:39:34.303,774.0,,,,,,,,,,,,,,,,,,, +69,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-08-17 14:46:50.000000,2023-08-17 14:46:49,1037.0,192.0,585.0,91.0,949.0,97.0,810.0,5487,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",171.0,38,True,2023-07-13 16:51:17.000,0.21.0,33.0,accelerate,conda-forge/accelerate,,,['pytorch'],12000.0,11729.0,https://pypi.org/project/accelerate,5023341.0,5025845.0,https://anaconda.org/conda-forge/accelerate,2023-07-15 16:19:09.164,55095.0,,,,,1.0,,2023-07-13 15:20:01.952,271.0,,,,,,,,,,,,,,,,,,, +70,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2023-08-17 13:57:58.000000,2023-08-16 20:10:55,17523.0,106.0,1217.0,85.0,7354.0,531.0,4044.0,2320,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,348.0,38,True,2023-08-15 17:55:48.000,1.5.0,74.0,mne,conda-forge/mne,,,,3181.0,2912.0,https://pypi.org/project/mne,77883.0,86021.0,https://anaconda.org/conda-forge/mne,2023-08-15 19:52:43.445,317411.0,,,,,1.0,,2023-08-15 17:55:48.000,269.0,,,,,,,,,,,,,,,,,,, +71,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2023-08-17 10:01:38.000000,2023-08-16 20:44:23,3217.0,140.0,1032.0,134.0,2596.0,483.0,830.0,1903,A library for training and deploying machine learning models on Amazon SageMaker.,386.0,38,True,2023-08-14 17:08:21.000,2.177.1,529.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",2963.0,2884.0,https://pypi.org/project/sagemaker,31604055.0,31622717.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-08-14 19:02:38.742,671841.0,,,,,2.0,,2023-08-14 17:08:21.000,79.0,,,,,,,,,,,,,,,,,,, +72,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-08-12 13:53:33.000000,2023-08-12 13:53:29,1496.0,17.0,260.0,32.0,460.0,87.0,477.0,1296,Python library for reading and writing image data.,105.0,38,True,2023-06-12 03:02:52.000,2.31.1,56.0,imageio,conda-forge/imageio,,,,98572.0,98572.0,https://pypi.org/project/imageio,15462139.0,15530526.0,https://anaconda.org/conda-forge/imageio,2023-06-12 06:54:47.545,5401504.0,,,,,1.0,812.0,,,,,,,,,,,,,,,,,,,,, +73,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-08-17 10:26:20.000000,2023-08-17 08:25:05,6078.0,53.0,6443.0,409.0,2676.0,578.0,7179.0,32543,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",139.0,37,True,2022-08-24 09:04:27.000,2.6.0,6.0,paddleocr,,,,['paddle'],1667.0,1667.0,https://pypi.org/project/paddleocr,63487.0,63487.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +74,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1287.0,164.0,662.0,218.0,31089,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,25198.0,23557.0,https://pypi.org/project/jieba,539026.0,540918.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,143846.0,,,,,1.0,,2020-01-20 14:27:23.000,1641.0,,,,,,,,,,,,,,,,,,, +75,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-08-17 11:18:40.000000,2023-07-07 06:08:01,2312.0,23.0,5769.0,412.0,1293.0,972.0,3008.0,27163,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],1862.0,1862.0,https://pypi.org/project/fairseq,291110.0,292347.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,45601.0,,,,,1.0,315.0,,,,,,,,,,,,,,,,,,,,, +76,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-07-28 17:48:29.000000,2023-06-26 06:46:56,1325.0,6.0,2205.0,334.0,1562.0,359.0,1842.0,13504,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",170.0,37,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1007.0,976.0,https://pypi.org/project/horovod,69986.0,69986.0,,,,,,,,2.0,,2023-06-12 09:28:02.604,31.0,,stable/horovod,,,,,,,,,,,,,,,,, +77,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-08-16 18:54:39.000000,2023-08-16 18:54:36,5608.0,70.0,1691.0,205.0,1134.0,57.0,2106.0,13013,A very simple framework for state-of-the-art Natural Language Processing (NLP).,249.0,37,False,2023-03-30 15:49:56.000,0.12.2,23.0,flair,conda-forge/python-flair,,,['pytorch'],2665.0,2665.0,https://pypi.org/project/flair,85818.0,86366.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,20306.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +78,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-08-14 09:57:58.000000,2023-07-11 16:23:35,1095.0,5.0,1356.0,252.0,647.0,337.0,1012.0,10776,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,27634.0,27634.0,https://pypi.org/project/moviepy,671766.0,674480.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,198123.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +79,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-08-17 10:56:46.000000,2023-08-17 10:56:45,2474.0,242.0,1330.0,114.0,2568.0,407.0,2053.0,10402,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (Models,..",188.0,37,True,2023-07-26 16:22:23.000,1.19.0,60.0,haystack,,,,,931.0,844.0,https://pypi.org/project/haystack,2565.0,2565.0,,,,,,,,1.0,23.0,2017-07-03 04:44:52.000,87.0,,,,,,,,,,,,,,,,,,, +80,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-08-12 20:59:03.000000,2023-08-07 13:29:00,4918.0,92.0,1615.0,126.0,930.0,296.0,1840.0,7596,"An open-source, low-code machine learning library in Python.",124.0,37,True,2023-07-02 04:09:52.000,3.0.4,93.0,pycaret,conda-forge/pycaret,,,,4207.0,4193.0,https://pypi.org/project/pycaret,242056.0,243093.0,https://anaconda.org/conda-forge/pycaret,2023-08-08 20:36:32.365,36737.0,,,,,2.0,657.0,2022-06-06 15:35:50.000,14.0,,,,,,,,,,,,,,,,,,, +81,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-08-16 16:40:32.000000,2023-08-16 16:40:32,1690.0,26.0,631.0,118.0,513.0,265.0,562.0,7447,Fast State-of-the-Art Tokenizers optimized for Research and Production.,77.0,37,True,2023-04-05 08:15:55.740,0.13.3,78.0,tokenizers,conda-forge/tokenizers,,,,37801.0,37522.0,https://pypi.org/project/tokenizers,11337797.0,11370296.0,https://anaconda.org/conda-forge/tokenizers,2023-06-16 19:20:53.569,1202470.0,,,,,1.0,31.0,2023-08-14 13:45:58.000,279.0,4.0,,,,,,,,,,,,,,,,,, +82,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-08-14 13:52:25.000000,2023-08-09 08:39:17,844.0,39.0,1247.0,143.0,484.0,35.0,528.0,6460,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,78.0,37,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],19595.0,19275.0,https://pypi.org/project/imbalanced-learn,3618544.0,3630448.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,452377.0,,,,,1.0,,2023-07-08 21:51:38.887,320.0,,,,,,,,,,,,,,,,,,, +83,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-08-16 17:09:42.000000,2023-08-15 01:15:02,3752.0,157.0,504.0,78.0,1906.0,100.0,625.0,4618,Flax is a neural network library for JAX that is designed for flexibility.,201.0,37,True,2023-08-09 01:43:16.000,0.7.2,33.0,flax,conda-forge/flax,,,['jax'],4013.0,4013.0,https://pypi.org/project/flax,1284498.0,1285607.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,32136.0,,,,,2.0,49.0,,,,,,,,,,,,,,,,,,,,, +84,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-08-16 02:19:57.000000,2023-08-16 02:19:54,11942.0,47.0,1077.0,169.0,451.0,648.0,726.0,3956,Probabilistic reasoning and statistical analysis in TensorFlow.,479.0,37,True,2023-08-04 18:00:53.000,0.21.0,48.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],415.0,,https://pypi.org/project/tensorflow-probability,1345169.0,1348840.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-07-23 10:45:53.935,110143.0,,,,,1.0,,2023-08-04 18:00:53.000,415.0,,,,,,,,,,,,,,,,,,, +85,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-08-17 13:19:27.000000,2023-08-12 23:29:15,3770.0,92.0,1002.0,154.0,1492.0,361.0,853.0,3360,Fast data visualization and GUI tools for scientific / engineering applications.,257.0,37,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,8677.0,7761.0,https://pypi.org/project/pyqtgraph,117988.0,123608.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,444042.0,,,,,2.0,,2022-09-29 04:05:13.139,916.0,,,,,,,,,,,,,,,,,,, +86,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-08-15 03:05:04.000000,2023-08-15 03:05:03,3770.0,26.0,522.0,148.0,1090.0,141.0,1570.0,2001,Rasterio reads and writes geospatial raster datasets.,149.0,37,True,2023-06-28 17:18:47.000,1.3.8,150.0,rasterio,conda-forge/rasterio,,,,9466.0,8513.0,https://pypi.org/project/rasterio,1675148.0,1755888.0,https://anaconda.org/conda-forge/rasterio,2023-06-29 11:08:32.699,2502721.0,,,,,2.0,852.0,2023-06-28 16:47:03.167,953.0,,,,,,,,,,,,,,,,,,, +87,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-08-17 06:41:22.000000,2023-08-16 03:04:35,1950.0,52.0,4148.0,299.0,369.0,67.0,707.0,26416,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",106.0,36,True,2023-08-03 23:55:13.000,0.9.5,47.0,timm,conda-forge/timm,,,['pytorch'],10.0,10.0,https://pypi.org/project/timm,3606982.0,3711164.0,https://anaconda.org/conda-forge/timm,2023-08-04 20:58:37.045,86519.0,,,,,1.0,5194082.0,,,,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,, +88,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-08-08 13:24:26.000000,2023-07-07 12:21:54,775.0,11.0,4422.0,425.0,426.0,361.0,1676.0,16233,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,168.0,36,True,2023-05-29 15:12:28.000,1.1.4,15.0,fbprophet,conda-forge/prophet,,,,137.0,10.0,https://pypi.org/project/fbprophet,991785.0,1026451.0,https://anaconda.org/conda-forge/prophet,2023-06-15 14:12:13.774,969981.0,,,,,1.0,1880.0,2020-09-05 16:12:50.000,127.0,,,,,,,,,,,,,,,,,,, +89,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-08-17 10:50:59.000000,2023-04-10 01:12:31,1618.0,,2756.0,381.0,453.0,4.0,1758.0,13796,Python Echarts Plotting Library.,39.0,36,True,2023-04-10 01:18:59.000,2.0.3,2.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3394.0,3394.0,https://pypi.org/project/pyecharts,60243.0,60243.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +90,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-08-08 07:22:32.000000,2023-08-07 02:39:54,3011.0,24.0,1819.0,285.0,3497.0,302.0,1671.0,13184,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,36,True,2023-05-16 23:50:39.741,2.10.1,54.0,nni,,,,,489.0,455.0,https://pypi.org/project/nni,22415.0,22415.0,,,,,,,,1.0,,2022-06-22 05:07:14.000,34.0,,,,,,,,,,,,,,,,,,, +91,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-08-17 14:47:25.000000,2023-08-17 14:40:21,15570.0,2482.0,5109.0,70.0,9384.0,4175.0,8827.0,12646,The Unified AI Framework.,1244.0,36,True,2022-06-01 09:22:21.000,1.1.10,20.0,ivy-core,,,,,86.0,80.0,https://pypi.org/project/ivy-core,72.0,72.0,,,,,,,,2.0,,2022-06-01 09:22:21.000,6.0,4.0,,,,,,,,,,,,,,,,,, +92,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-08-17 14:07:17.000000,2023-08-17 13:29:58,23684.0,2116.0,1935.0,205.0,4583.0,164.0,3301.0,8897,Perform data science on data that remains in someone elses server.,498.0,36,True,2023-06-23 11:01:18.384,0.8.1,178.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,4722.0,4722.0,,,,,,,,1.0,,2023-08-16 07:02:09.000,5.0,,,,,,,,,,,,,,,,,,, +93,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-08-02 10:57:30.000000,2023-08-02 10:57:30,1413.0,26.0,872.0,214.0,219.0,174.0,232.0,6426,Efficiently computes derivatives of numpy code.,55.0,36,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6230.0,5919.0,https://pypi.org/project/autograd,1178783.0,1203122.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,340748.0,,,,,1.0,,2023-06-23 08:37:07.368,311.0,,,,,,,,,,,,,,,,,,, +94,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-08-17 13:35:30.000000,2023-08-16 22:38:43,2792.0,108.0,858.0,93.0,3012.0,318.0,2344.0,4586,AI Toolkit for Healthcare Imaging.,165.0,36,True,2023-06-08 17:16:23.000,1.2.0,71.0,monai,conda-forge/monai,,,['pytorch'],1269.0,1227.0,https://pypi.org/project/monai,79522.0,80351.0,https://anaconda.org/conda-forge/monai,2023-06-08 17:03:07.715,16584.0,,,,,1.0,,2022-06-13 17:32:37.000,42.0,,,,,,,,,,,,,,,,,,, +95,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-08-17 10:44:41.000000,2023-08-17 10:19:40,9178.0,331.0,1502.0,147.0,1915.0,466.0,1204.0,4530,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",224.0,36,True,2022-12-01 14:00:47.111,2.7.1,668.0,deepchem,conda-forge/deepchem,,,['tensorflow'],249.0,241.0,https://pypi.org/project/deepchem,10891.0,13328.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,102383.0,,,,,1.0,,2023-08-17 10:44:41.000,8.0,,,,,,,,,,,,,,,,,,, +96,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-08-17 11:25:04.000000,2023-08-17 11:24:54,5979.0,153.0,1457.0,112.0,3958.0,650.0,683.0,3974,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",291.0,36,True,2023-04-13 11:23:03.098,4.9.2,35.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],201.0,,https://pypi.org/project/tensorflow-datasets,1691854.0,1692658.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,21727.0,,,,,1.0,,2023-04-13 11:23:03.098,201.0,,,,,,,,,,,,,,,,,,, +97,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-08-15 19:33:15.000000,2023-07-30 21:51:13,2203.0,13.0,539.0,88.0,739.0,226.0,869.0,3386,Manipulation and analysis of geometric objects.,146.0,36,True,2023-02-02 20:56:27.127,1.8.5,120.0,shapely,conda-forge/shapely,,,,51377.0,50483.0,https://pypi.org/project/shapely,12859455.0,12946130.0,https://anaconda.org/conda-forge/shapely,2023-06-16 13:05:34.573,8137681.0,,,,,2.0,2294.0,2023-02-02 20:56:31.341,894.0,,,,,,,,,,,,,,,,,,, +98,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-08-17 10:58:09.000000,2023-08-17 10:55:09,8291.0,78.0,664.0,97.0,12954.0,39.0,770.0,3372,State of the Art Natural Language Processing.,108.0,36,True,2023-08-02 20:10:07.000,5.0.2,128.0,spark-nlp,,,,['spark'],356.0,331.0,https://pypi.org/project/spark-nlp,3735102.0,3735102.0,,,,,,,,1.0,,2023-08-02 18:21:58.000,25.0,,,,,,,,,,,,,,,,,,, +99,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-08-11 14:32:35.502000,2023-08-11 07:15:00,5247.0,13.0,265.0,83.0,760.0,17.0,122.0,2739,"A refreshing functional take on deep learning, compatible with your favorite libraries.",62.0,36,True,2023-08-11 09:46:01.000,8.2.0,74.0,thinc,conda-forge/thinc,,,,34657.0,34657.0,https://pypi.org/project/thinc,4685418.0,4751312.0,https://anaconda.org/conda-forge/thinc,2023-08-11 14:32:35.502,2569878.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +100,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-08-17 01:04:22.000000,2023-07-21 21:04:15,1505.0,16.0,202.0,29.0,655.0,26.0,552.0,910,Python interface to PROJ (cartographic projections and coordinate transformations library).,64.0,36,True,2023-07-20 15:26:50.954,1.8.9,59.0,pyproj,conda-forge/pyproj,,,,24459.0,22539.0,https://pypi.org/project/pyproj,7306857.0,7481085.0,https://anaconda.org/conda-forge/pyproj,2023-06-14 07:22:14.931,6446447.0,,,,,2.0,,2023-06-12 15:23:40.386,1920.0,,,,,,,,,,,,,,,,,,, +101,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-08-17 12:59:30.000000,2023-06-30 07:37:44,2613.0,31.0,7967.0,376.0,2989.0,883.0,6474.0,25227,OpenMMLab Detection Toolbox and Benchmark.,411.0,35,True,2023-06-30 07:41:30.000,3.1.0,51.0,mmdet,,,,['pytorch'],10.0,10.0,https://pypi.org/project/mmdet,176454.0,176454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +102,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2351.0,232.0,336.0,281.0,222.0,13723,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,15964.0,15964.0,https://pypi.org/project/imgaug,312998.0,315735.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,136891.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +103,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-07-26 03:23:12.000000,2021-06-01 10:43:00,1848.0,,4325.0,548.0,708.0,372.0,1266.0,13497,"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,,,,,5616.0,5264.0,https://pypi.org/project/chatterbot,30523.0,30523.0,,,,,,,,1.0,,2020-08-22 18:40:36.000,352.0,,,,,,,,,,,,,,,,,,, +104,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-07-15 09:42:34.000000,2023-06-14 16:31:42,876.0,6.0,1110.0,319.0,266.0,54.0,337.0,11751,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,87.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3351.0,3089.0,https://pypi.org/project/annoy,979537.0,983801.0,https://anaconda.org/conda-forge/python-annoy,2023-06-16 13:18:50.070,353992.0,,,,,2.0,,2023-06-14 16:39:02.504,262.0,,,,,,,,,,,,,,,,,,, +105,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-08-11 04:38:22.000000,2023-08-08 07:06:22,1202.0,5.0,2096.0,123.0,247.0,1018.0,791.0,11595,Multilingual Sentence & Image Embeddings with BERT.,112.0,35,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],13292.0,12894.0,https://pypi.org/project/sentence-transformers,2406322.0,2410353.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,141103.0,,,,,1.0,,2022-06-26 19:50:11.000,398.0,,,,,,,,,,,,,,,,,,, +106,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2176.0,285.0,3096.0,80.0,2477.0,11558,"An open-source NLP research library, built on PyTorch.",265.0,35,True,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3704.0,3704.0,https://pypi.org/project/allennlp,43974.0,46016.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,114396.0,,,,,1.0,61.0,,,,,,,,,,,,,,,,,,,,, +107,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-08-12 19:58:51.000000,2023-06-01 18:12:56,4638.0,3.0,4495.0,390.0,635.0,595.0,1235.0,11001,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,195.0,11.0,https://pypi.org/project/glfw,171858.0,207624.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,141500.0,,,,,2.0,3347831.0,2023-06-30 18:36:01.101,184.0,,,,,,,,,,,,,,,,,,, +108,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511.0,548.0,4118.0,685.0,2087.0,9773,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,35,False,,,8.0,theano,conda-forge/theano,,,,14176.0,14176.0,https://pypi.org/project/theano,379111.0,406798.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2353438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +109,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1076.0,269.0,156.0,101.0,155.0,8654,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2013-09-26 02:29:01.000,0.7.0,7.0,textblob,conda-forge/textblob,,,,31908.0,31908.0,https://pypi.org/project/textblob,638090.0,640815.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,228913.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,,,, +110,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-08-10 17:37:57.000000,2023-08-06 21:01:36,2407.0,18.0,971.0,204.0,2228.0,241.0,814.0,8082,Deep universal probabilistic programming with Python and PyTorch.,140.0,35,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1637.0,1545.0,https://pypi.org/project/pyro-ppl,598649.0,601941.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,95468.0,,,,,1.0,,2023-07-29 21:09:56.000,92.0,,,,,,,,,,,,,,,,,,, +111,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-08-05 09:01:24.000000,2023-08-05 09:01:02,884.0,6.0,979.0,125.0,254.0,25.0,624.0,8044,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 03:20:40.000,0.1.99,25.0,sentencepiece,conda-forge/sentencepiece,,,,37368.0,37368.0,https://pypi.org/project/sentencepiece,9910469.0,9926312.0,https://anaconda.org/conda-forge/sentencepiece,2023-07-01 19:06:44.275,568030.0,,,,,1.0,29493.0,,,,,,,,,,,,,,,,,,,,, +112,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-08-06 17:48:44.000000,2023-08-06 17:48:44,524.0,14.0,873.0,86.0,270.0,79.0,373.0,7662,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",81.0,35,True,2023-07-30 14:05:26.000,2.6.2,22.0,tensorboardX,conda-forge/tensorboardx,,,,34363.0,33395.0,https://pypi.org/project/tensorboardX,2441650.0,2471096.0,https://anaconda.org/conda-forge/tensorboardx,2023-07-30 23:09:19.892,1089341.0,,,,,2.0,398.0,2023-07-30 14:05:26.000,968.0,,,,,,,,,,,,,,,,,,, +113,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-08-17 08:58:40.000000,2023-08-17 04:59:50,5705.0,216.0,1740.0,163.0,5009.0,114.0,1647.0,7612,NeMo: a toolkit for conversational AI.,234.0,35,True,2023-08-04 19:50:15.000,1.20.0,69.0,nemo-toolkit,,,,['pytorch'],20.0,10.0,https://pypi.org/project/nemo-toolkit,40155.0,41430.0,,,,,,,,1.0,59939.0,2023-08-04 17:57:21.000,10.0,,,,,,,,,,,,,,,,,,, +114,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-08-17 13:09:55.000000,2023-08-17 04:32:56,32046.0,121.0,1990.0,391.0,6592.0,2693.0,6387.0,6450,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",245.0,35,True,,,145.0,h2o,,,,,91.0,10.0,https://pypi.org/project/h2o,354704.0,354704.0,,,,,,,,2.0,,2023-07-25 14:00:09.000,81.0,,,,,,,,,,,,,,,,,,, +115,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-08-17 13:43:08.000000,2023-08-01 19:55:45,2813.0,55.0,2059.0,174.0,1062.0,14.0,1383.0,6211,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,189.0,35,True,2023-06-22 11:33:50.000,3.3.0,44.0,OpenNMT-py,,,,['pytorch'],215.0,215.0,https://pypi.org/project/OpenNMT-py,3519.0,3519.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +116,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-08-17 07:21:13.000000,2023-08-17 02:25:38,2592.0,161.0,609.0,67.0,3003.0,184.0,754.0,5479,Build Production-Grade AI Applications.,169.0,35,True,2023-08-01 21:11:12.000,1.1.1,110.0,bentoml,,,,,1205.0,1195.0,https://pypi.org/project/bentoml,102240.0,102280.0,,,,,,,,2.0,2103.0,2023-08-01 21:07:57.000,10.0,,,,,,,,,,,,,,,,,,, +117,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-07-28 00:22:03.000000,2023-07-28 00:16:45,2332.0,80.0,1068.0,191.0,226.0,271.0,273.0,5235,Distributed Evolutionary Algorithms in Python.,87.0,35,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4191.0,3827.0,https://pypi.org/project/deap,194990.0,204420.0,https://anaconda.org/conda-forge/deap,2023-07-21 14:58:59.700,320639.0,,,,,2.0,,2023-07-21 10:51:54.000,364.0,,,,,,,,,,,,,,,,,,, +118,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-08-17 13:44:03.000000,2023-08-17 07:06:36,20294.0,431.0,1092.0,236.0,6994.0,772.0,1197.0,4286,"Fast, distributed, secure AI for Big Data.",179.0,35,True,2023-04-24 02:17:43.000,2.3.0,636.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,5142.0,5142.0,,,,,,,,2.0,,2023-08-17 13:44:03.000,1.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +119,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-08-17 00:28:26.000000,2023-08-16 17:38:30,17801.0,722.0,396.0,50.0,2122.0,505.0,859.0,4020,"Visualize, create, and debug image and video datasets and model predictions.",89.0,35,True,2023-08-08 16:28:35.000,0.21.6,127.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",386.0,378.0,https://pypi.org/project/fiftyone,104136.0,104136.0,,,,,,,,2.0,,2023-08-08 15:23:07.000,8.0,,,,,,,,,,,,,,,,,,, +120,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-08-16 19:41:58.000000,2023-08-08 07:57:53,1994.0,27.0,203.0,68.0,128.0,80.0,497.0,3539,A grammar of graphics for Python.,103.0,35,True,2023-07-21 09:35:29.000,0.12.2,17.0,plotnine,conda-forge/plotnine,,,,5855.0,5606.0,https://pypi.org/project/plotnine,1524631.0,1532314.0,https://anaconda.org/conda-forge/plotnine,2023-07-31 20:56:37.934,291964.0,,,,,2.0,,2023-07-21 09:28:59.000,249.0,,,,,,,,,,,,,,,,,,, +121,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-08-17 11:34:22.000000,2023-08-15 22:13:01,2213.0,163.0,587.0,76.0,2729.0,243.0,680.0,2179,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",214.0,35,True,2023-05-08 20:03:52.000,2.0.2,27.0,torchaudio,,,,['pytorch'],351.0,,https://pypi.org/project/torchaudio,1160679.0,1160679.0,,,,,,,,1.0,,2023-05-08 18:00:01.264,351.0,,,,,,,,,,,,,,,,,,, +122,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-08-17 07:06:08.000000,2023-08-11 10:02:34,4804.0,78.0,463.0,21.0,1053.0,852.0,560.0,1881,"This is the development home of the workflow management system Snakemake. For general information, see.",307.0,35,True,2023-08-09 08:21:02.000,7.32.3,283.0,snakemake,bioconda/snakemake,,,,1866.0,1622.0,https://pypi.org/project/snakemake,88914.0,97712.0,https://anaconda.org/bioconda/snakemake,2023-08-10 01:02:22.462,827090.0,,,,,2.0,,2023-08-09 08:21:02.000,244.0,,,,,,,,,,,,,,,,,,, +123,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-07-12 13:46:56.000000,2023-07-12 13:46:52,1510.0,8.0,590.0,59.0,1870.0,251.0,892.0,1658,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,204.0,35,True,2023-07-12 00:08:03.536,0.21.0,36.0,tensorflow-addons,,,,['tensorflow'],13054.0,12840.0,https://pypi.org/project/tensorflow-addons,894007.0,894007.0,,,,,,,,1.0,,2023-07-12 00:08:03.536,214.0,,,,,,,,,,,,,,,,,,, +124,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-08-17 10:02:12.000000,2023-08-16 12:13:56,1416.0,143.0,320.0,27.0,1140.0,46.0,624.0,1601,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",208.0,35,True,2023-08-08 15:44:39.000,1.0.3,35.0,metrics,conda-forge/torchmetrics,,,['pytorch'],14171.0,14158.0,https://pypi.org/project/metrics,9538.0,44629.0,https://anaconda.org/conda-forge/torchmetrics,2023-08-08 17:51:41.137,1014385.0,,,,,2.0,3280.0,2018-04-28 10:58:56.000,13.0,,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,, +125,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-07-22 10:06:58.000000,2023-07-22 10:06:51,1199.0,15.0,198.0,33.0,41.0,9.0,153.0,1431,Simple Python interface for Graphviz.,19.0,35,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,55161.0,51844.0,https://pypi.org/project/graphviz,8499795.0,8500311.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,39280.0,,,,,2.0,,2022-07-23 11:35:06.076,3317.0,,,,,,,,,,,,,,,,,,, +126,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-07-30 06:42:19.000000,2023-07-18 22:29:35,1506.0,16.0,340.0,48.0,1447.0,167.0,652.0,1424,Exploratory analysis of Bayesian models with Python.,147.0,35,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,4719.0,4580.0,https://pypi.org/project/arviz,1442714.0,1490808.0,https://anaconda.org/conda-forge/arviz,2023-07-19 16:40:50.313,1875607.0,,,,,1.0,133.0,2023-07-18 20:14:08.000,139.0,,,,,,,,,,,,,,,,,,, +127,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-08-16 21:56:50.000000,2023-08-11 16:49:26,849.0,21.0,293.0,45.0,980.0,63.0,154.0,1131,Making text a first-class citizen in TensorFlow.,109.0,35,True,2023-07-06 20:43:53.000,2.13.0,49.0,tensorflow-text,,,,['tensorflow'],5684.0,5684.0,https://pypi.org/project/tensorflow-text,3592970.0,3592970.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +128,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-08-17 09:44:23.000000,2023-08-17 09:44:23,9981.0,121.0,526.0,72.0,2082.0,296.0,1560.0,1033,Machine learning for NeuroImaging in Python.,224.0,35,True,2023-04-28 09:19:30.000,0.10.1,44.0,nilearn,conda-forge/nilearn,,,['sklearn'],2749.0,2474.0,https://pypi.org/project/nilearn,26647.0,29391.0,https://anaconda.org/conda-forge/nilearn,2023-06-16 13:17:38.098,238369.0,,,,,2.0,134.0,2023-04-28 09:18:01.445,275.0,,,,,,,,,,,,,,,,,,, +129,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-08-08 13:17:52.000000,2023-07-31 23:09:25,14769.0,50.0,506.0,50.0,2260.0,392.0,945.0,697,Workflows and interfaces for neuroimaging packages.,250.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,2423.0,2251.0,https://pypi.org/project/nipype,65832.0,72660.0,https://anaconda.org/conda-forge/nipype,2023-06-16 13:24:57.429,580389.0,,,,,2.0,,2017-05-21 03:34:02.000,172.0,,,,,,,,,,,,,,,,,,, +130,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-08-15 04:57:03.000000,2023-08-14 17:13:08,1484.0,18.0,6529.0,375.0,629.0,333.0,3009.0,25922,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",256.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1330.0,1330.0,https://pypi.org/project/detectron2,,5342.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,197664.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +131,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-07-03 09:20:46.000000,2023-06-21 06:01:59,384.0,2.0,4645.0,851.0,262.0,543.0,609.0,24922,Library for fast text representation and classification.,62.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5076.0,4863.0,https://pypi.org/project/fasttext,1202228.0,1203116.0,https://anaconda.org/conda-forge/fasttext,2023-06-16 13:22:18.275,62162.0,,,,,2.0,,2020-04-28 09:54:50.000,213.0,,,,,,,,,,,,,,,,,,, +132,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-08-17 08:26:42.000000,2023-08-17 08:25:57,7079.0,289.0,2536.0,292.0,169.0,26.0,941.0,23727,"Visualizer for neural network, deep learning, and machine learning models.",2.0,34,True,2023-08-08 06:04:01.000,7.1.3,590.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,15568.0,65829.0,,,,,,,,1.0,50261.0,2023-08-08 06:04:01.000,73.0,,,,,,,,,,,,,,,,,,, +133,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-08-17 14:11:32.000000,2023-08-17 12:05:35,33859.0,532.0,11900.0,945.0,23219.0,,,21790,Apache Flink Python API.,1754.0,34,True,,,,apache-flink,,,,,10.0,10.0,https://pypi.org/project/apache-flink,62009.0,62009.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +134,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-08-08 00:24:07.000000,2023-07-04 12:44:09,600.0,6.0,2702.0,293.0,228.0,280.0,575.0,19154,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",122.0,34,True,2023-05-26 07:25:01.375,1.7.0,31.0,easyocr,,,,,3519.0,3452.0,https://pypi.org/project/easyocr,117961.0,271260.0,,,,,,,,1.0,5825366.0,2022-09-20 02:27:55.579,67.0,,,,,,,,,,,,,,,,,,, +135,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-08-17 13:40:11.000000,2023-08-17 12:47:04,13720.0,1907.0,2211.0,373.0,3658.0,553.0,2582.0,17577,MindsDB connects AI models to databases.,745.0,34,False,2023-08-03 18:24:30.000,23.8.1.0,100.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,10123.0,10123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +136,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000,2023-08-14 15:53:37.000000,2023-07-05 17:40:19,8478.0,76.0,2801.0,261.0,1173.0,170.0,616.0,16181,Best Practices on Recommendation Systems.,126.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,81.0,79.0,https://pypi.org/project/recommenders,48996.0,49003.0,,,,,,,,1.0,421.0,2022-04-01 08:49:49.000,2.0,,,,,,,,,,,,,,,,,,, +137,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-08-15 07:19:44.000000,2023-08-14 19:04:44,4390.0,100.0,1854.0,182.0,545.0,37.0,640.0,14182,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",139.0,34,True,2023-08-13 10:31:13.000,0.16.3,67.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",15.0,,https://pypi.org/project/tts,32717.0,75913.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9452.0,,,,,2.0,1240244.0,2023-08-13 10:31:13.000,15.0,,,,,,,,,,,,,,,,,,, +138,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-06-24 11:05:09.000000,2023-06-10 07:12:14,779.0,2.0,1498.0,125.0,654.0,357.0,425.0,12421,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,34,True,2023-06-10 07:44:08.000,1.3.1,18.0,albumentations,conda-forge/albumentations,,,['pytorch'],16811.0,16811.0,https://pypi.org/project/albumentations,1033427.0,1035974.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,127381.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +139,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-08-14 23:36:50.000000,2023-08-14 19:39:56,4348.0,25.0,2060.0,290.0,3392.0,54.0,1493.0,10239,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,213.0,34,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],212.0,207.0,https://pypi.org/project/parlai,1032.0,1032.0,,,,,,,,2.0,,2022-09-20 02:56:01.305,5.0,,,,,,,,,,,,,,,,,,, +140,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-08-12 16:52:34.000000,2023-05-18 17:21:01,563.0,,2299.0,221.0,231.0,107.0,409.0,9585,A little word cloud generator in Python.,68.0,34,True,2023-05-18 18:12:02.829,1.9.2,19.0,wordcloud,conda-forge/wordcloud,,,,814.0,10.0,https://pypi.org/project/wordcloud,1132598.0,1144171.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,428204.0,,,,,2.0,,2023-05-18 18:12:02.829,804.0,,,,,,,,,,,,,,,,,,, +141,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,266.0,148.0,108.0,103.0,8939,Fuzzy String Matching in Python.,70.0,34,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,22025.0,19953.0,https://pypi.org/project/fuzzywuzzy,5172326.0,5178195.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,498881.0,,,,,2.0,,2020-02-13 21:06:25.000,2072.0,,,,,,,,,,,,,,,,,,, +142,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2023-08-17 14:00:34.714000,2023-07-20 17:28:39,10386.0,19.0,1855.0,349.0,3378.0,124.0,1126.0,8263,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,329.0,34,True,2023-07-19 14:18:35.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,,,https://pypi.org/project/vowpalwabbit,133918.0,137712.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-08-17 14:00:34.714,129017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +143,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,946.0,133.0,217.0,302.0,266.0,7530,Manipulate audio with a simple and easy high level interface.,95.0,34,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,36337.0,35207.0,https://pypi.org/project/pydub,3319961.0,3321051.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,61091.0,,,,,2.0,,2021-03-10 02:09:53.000,1130.0,,,,,,,,,,,,,,,,,,, +144,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-08-14 05:41:41.000000,2023-08-14 05:02:13,631.0,31.0,305.0,67.0,95.0,27.0,120.0,7137,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",23.0,34,True,2023-04-19 04:13:12.000,0.6.1,12.0,einops,conda-forge/einops,,,,15299.0,15299.0,https://pypi.org/project/einops,4216589.0,4219405.0,https://anaconda.org/conda-forge/einops,2023-06-16 16:16:58.561,132360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +145,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-08-08 19:21:45.000000,2023-08-08 19:21:45,1213.0,17.0,1022.0,127.0,266.0,349.0,299.0,6832,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,34,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12002.0,11514.0,https://pypi.org/project/hyperopt,1912651.0,1924818.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,717875.0,,,,,1.0,,2021-11-17 10:07:00.808,488.0,,,,,,,,,,,,,,,,,,, +146,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-08-16 15:48:25.000000,2023-08-16 15:48:23,1300.0,20.0,843.0,157.0,1632.0,166.0,795.0,6751,An open source python library for automated feature engineering.,70.0,34,True,2023-07-24 15:40:37.000,1.27.0,102.0,featuretools,conda-forge/featuretools,,,,1472.0,1398.0,https://pypi.org/project/featuretools,83320.0,87567.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,161409.0,,,,,1.0,,2023-07-24 15:40:37.000,74.0,,,,,,,,,,,,,,,,,,, +147,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-08-04 18:18:22.000000,2023-08-04 18:18:22,1695.0,17.0,735.0,126.0,254.0,416.0,322.0,6392,Uniform Manifold Approximation and Projection.,121.0,34,True,2022-04-13 21:20:36.000,0.5.3,37.0,umap-learn,conda-forge/umap-learn,,,,10570.0,10094.0,https://pypi.org/project/umap-learn,837856.0,870834.0,https://anaconda.org/conda-forge/umap-learn,2023-06-16 16:09:19.013,2110650.0,,,,,2.0,,2022-04-13 21:20:36.000,476.0,,,,,,,,,,,,,,,,,,, +148,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-08-16 18:07:49.183000,2023-08-15 17:52:04,3248.0,11.0,897.0,138.0,617.0,46.0,1076.0,6127,Python library for audio and music analysis.,115.0,34,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1407.0,,https://pypi.org/project/librosa,2179811.0,2198179.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,679620.0,,,,,2.0,,2023-08-16 13:52:19.000,1407.0,,,,,,,,,,,,,,,,,,, +149,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-06-16 19:17:58.452000,2022-10-17 02:18:00,30611.0,,1322.0,292.0,6586.0,12.0,2030.0,5819,A flexible framework of neural networks for deep learning.,325.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,100.0,chainer,conda-forge/chainer,,,,3080.0,3080.0,https://pypi.org/project/chainer,18438.0,18803.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +150,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-08-15 04:31:39.000000,2023-08-15 04:31:32,2722.0,201.0,666.0,141.0,84.0,59.0,320.0,5650,Fit interpretable models. Explain blackbox machine learning.,39.0,34,True,2023-08-11 13:45:31.000,0.4.3,38.0,interpret,,,,['jupyter'],495.0,495.0,https://pypi.org/project/interpret,63793.0,63793.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +151,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-07-25 15:01:13.000000,2023-07-25 15:00:08,1165.0,52.0,626.0,67.0,122.0,50.0,421.0,5383,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,34,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],871.0,852.0,https://pypi.org/project/pytorch-metric-learning,245775.0,246022.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10629.0,,,,,1.0,,2023-07-25 14:56:04.000,19.0,,,,,,,,,,,,,,,,,,, +152,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-08-03 18:16:40.000000,2023-07-14 23:18:16,1628.0,4.0,821.0,117.0,513.0,133.0,335.0,4486,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,99.0,34,True,2023-04-02 19:01:01.792,0.22.0,50.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],10337.0,10163.0,https://pypi.org/project/mlxtend,688295.0,692192.0,https://anaconda.org/conda-forge/mlxtend,2023-06-16 13:24:16.113,284538.0,,,,,1.0,,2022-05-27 02:03:51.000,174.0,,,,,,,,,,,,,,,,,,, +153,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-07-18 19:15:39.000000,2022-11-13 09:58:17,1107.0,,615.0,92.0,262.0,43.0,243.0,4039,Geocoding library for Python.,128.0,34,True,2022-11-13 10:18:02.100,2.3.0,59.0,geopy,conda-forge/geopy,,,,4008.0,,https://pypi.org/project/geopy,4020173.0,4032866.0,https://anaconda.org/conda-forge/geopy,2023-06-16 13:17:28.231,1129760.0,,,,,2.0,,2022-11-13 10:18:02.100,4008.0,,,,,,,,,,,,,,,,,,, +154,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-06-28 22:47:54.000000,2023-06-28 22:47:49,1272.0,6.0,2326.0,1994.0,522.0,343.0,1071.0,3764,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-05-24 03:36:02.381,1.51.0,99.0,azureml-sdk,,,,,46.0,,https://pypi.org/project/azureml-sdk,1328244.0,1328252.0,,,,,,,,2.0,502.0,2022-06-27 17:00:30.000,46.0,,,,,,,,,,,,,,,,,,, +155,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-08-17 12:55:00.403000,2023-08-17 08:45:48,1464.0,44.0,352.0,94.0,706.0,127.0,432.0,3043,Quickly and accurately render even the largest data.,53.0,34,True,2023-08-17 10:44:40.000,0.15.2,32.0,datashader,conda-forge/datashader,,,,2754.0,2754.0,https://pypi.org/project/datashader,73112.0,89644.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,644778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +156,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-08-17 14:51:21.000000,2023-08-17 11:04:23,2385.0,485.0,221.0,22.0,2094.0,221.0,1135.0,2399,Argilla: the open-source data curation platform for LLMs.,61.0,34,True,2023-08-16 14:46:00.000,1.14.1,94.0,rubrix,conda-forge/rubrix,,,,1496.0,1496.0,https://pypi.org/project/rubrix,348.0,1622.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,25493.0,,,,,2.0,,2022-10-24 18:22:00.951,,,,,,,,,argilla-io/argilla,,,,,,,,,,, +157,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-08-17 07:19:13.000000,2023-08-17 07:14:22,2499.0,96.0,270.0,68.0,1212.0,50.0,538.0,2105,Adaptive Experimentation Platform.,150.0,34,True,2023-08-11 14:57:03.000,0.3.4,37.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],554.0,529.0,https://pypi.org/project/ax-platform,145248.0,145710.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,12021.0,,,,,1.0,,2023-08-11 14:57:03.000,25.0,,,,,,,,,,,,,,,,,,, +158,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-08-17 11:58:41.000000,2023-08-17 11:49:47,3718.0,167.0,350.0,32.0,2487.0,352.0,909.0,1918,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,129.0,34,True,2023-06-30 16:23:12.000,0.40.0,61.0,pyvista,conda-forge/pyvista,,,['jupyter'],2123.0,2123.0,https://pypi.org/project/pyvista,140600.0,150644.0,https://anaconda.org/conda-forge/pyvista,2023-07-21 18:56:11.170,381279.0,,,,,2.0,773.0,,,,,,,,,,,,,,,,,,,,, +159,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-06-16 20:29:18.000000,2023-06-16 20:29:14,1824.0,6.0,195.0,28.0,205.0,22.0,380.0,1299,The ctypes-based simple ImageMagick binding for Python.,102.0,34,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,17565.0,16855.0,https://pypi.org/project/wand,743876.0,744834.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,27995.0,,,,,2.0,21424.0,2023-01-05 13:11:36.729,710.0,,,,,,,,,,,,,,,,,,, +160,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-08-16 21:48:00.000000,2023-08-13 13:31:12,2865.0,90.0,348.0,57.0,1073.0,326.0,888.0,1250,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4024.0,3625.0,https://pypi.org/project/cartopy,71607.0,151515.0,https://anaconda.org/conda-forge/cartopy,2023-08-09 21:12:28.547,3116441.0,,,,,2.0,,2023-08-05 00:57:41.000,399.0,,,,,,,,,,,,,,,,,,, +161,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-08-16 20:13:08.000000,2023-08-16 16:58:50,1034.0,63.0,257.0,57.0,962.0,110.0,428.0,1097,All the open source things related to the Hugging Face Hub.,102.0,34,True,2023-07-07 14:38:55.000,0.16.4,76.0,huggingface_hub,conda-forge/huggingface_hub,,,,366.0,,https://pypi.org/project/huggingface_hub,14487604.0,14530127.0,https://anaconda.org/conda-forge/huggingface_hub,2023-07-15 10:26:02.115,1275694.0,,,,,2.0,,2023-07-07 14:35:04.525,366.0,,,,,,,,,,,,,,,,,,, +162,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-08-17 14:11:10.000000,2023-08-17 13:27:19,1380.0,65.0,164.0,31.0,1173.0,51.0,155.0,1017,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,76.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],7450.0,7433.0,https://pypi.org/project/scikit-learn-intelex,195416.0,202488.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,198019.0,,,,,1.0,,2023-07-21 11:46:24.000,17.0,,,,,,,,,,,,,,,,,,, +163,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4606.0,1004.0,1868.0,355.0,658.0,16389,"Zipline, a Pythonic Algorithmic Trading Library.",159.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1035.0,950.0,https://pypi.org/project/zipline,3080.0,3287.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7266.0,,,,,1.0,,2020-10-05 15:46:20.429,85.0,,,,,,,,,,,,,,,,,,, +164,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3293.0,463.0,671.0,589.0,672.0,13981,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1490.0,1400.0,https://pypi.org/project/tensor2tensor,4324.0,4324.0,,,,,,,,2.0,,2017-06-21 01:15:55.000,90.0,,,,,,,,,,,,,,,,,,, +165,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-08-01 18:30:38.000000,2021-07-29 23:17:25,531.0,,1759.0,264.0,113.0,96.0,535.0,10789,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,18.0,lime,conda-forge/lime,,,,4169.0,4169.0,https://pypi.org/project/lime,302574.0,304799.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,178006.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +166,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-08-13 08:21:14.000000,2023-08-13 08:21:14,3458.0,49.0,754.0,133.0,147.0,103.0,887.0,9566,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",85.0,33,True,2023-08-12 09:54:02.000,14.4.0,214.0,ocrmypdf,conda-forge/ocrmypdf,,,,601.0,584.0,https://pypi.org/project/ocrmypdf,38751.0,40598.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,54148.0,,,,,2.0,43.0,2023-08-12 09:54:02.000,17.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +167,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-08-16 20:13:21.000000,2023-06-06 09:08:21,5835.0,2.0,2949.0,236.0,1381.0,797.0,3777.0,9523,Open-source simulator for autonomous driving research.,153.0,33,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,520.0,516.0,https://pypi.org/project/carla,16102.0,16102.0,,,,,,,,1.0,,2022-12-24 18:31:33.838,4.0,,,,,,,,,,,,,,,,,,, +168,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-08-15 22:49:07.495000,2023-08-15 18:20:37,2422.0,7.0,1542.0,290.0,423.0,281.0,622.0,9188,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2340.0,2279.0,https://pypi.org/project/tpot,37730.0,43757.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,229055.0,,,,,1.0,,2023-08-15 18:22:07.000,61.0,,,,,,,,,,,,,,,,,,, +169,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-08-17 13:07:54.000000,2023-08-11 17:44:34,2412.0,41.0,560.0,102.0,407.0,537.0,1134.0,8099,An open source multi-tool for exploring and publishing data.,74.0,33,True,2023-04-27 15:09:02.422,0.64.3,134.0,datasette,conda-forge/datasette,,,,1222.0,1035.0,https://pypi.org/project/datasette,28637.0,29513.0,https://anaconda.org/conda-forge/datasette,2023-06-16 19:25:39.949,24518.0,,,,,1.0,55.0,2023-08-09 19:26:38.000,187.0,,,,,,,,,datasette,,,,,,,,,, +170,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-08-17 03:59:31.000000,2023-08-17 02:27:30,2841.0,13.0,1542.0,87.0,1589.0,307.0,1565.0,7461,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",114.0,33,True,2023-04-11 13:37:00.617,2.8.0,18.0,paddleseg,,,,['paddle'],991.0,987.0,https://pypi.org/project/paddleseg,2194.0,2194.0,,,,,,,,2.0,,2022-11-30 11:24:02.578,4.0,,,,,,,,,,,,,,,,,,, +171,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-08-07 11:58:16.000000,2023-03-13 12:21:37,454.0,,2276.0,283.0,129.0,297.0,307.0,7441,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,33,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,801.0,10.0,https://pypi.org/project/SpeechRecognition,447368.0,449406.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,171219.0,,,,,2.0,,2022-12-04 12:47:02.703,791.0,,,,,,,,,,,,,,,,,,, +172,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-07-19 11:57:07.000000,2023-07-16 10:19:01,1688.0,8.0,1275.0,147.0,200.0,183.0,143.0,7321,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,33,True,2023-06-25 06:09:29.000,1.1.0,88.0,pyod,conda-forge/pyod,,,,2721.0,2670.0,https://pypi.org/project/pyod,569018.0,571015.0,https://anaconda.org/conda-forge/pyod,2023-06-26 04:46:35.290,77904.0,,,,,1.0,,2023-06-25 06:02:01.357,51.0,,,,,,,,,,,,,,,,,,, +173,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-08-17 11:15:01.000000,2023-08-09 00:08:33,743.0,45.0,652.0,269.0,955.0,277.0,308.0,6919,Build and manage real-life data science projects with ease!.,72.0,33,True,2023-07-17 15:00:39.868,2.9.11,91.0,metaflow,conda-forge/metaflow,,,,526.0,506.0,https://pypi.org/project/metaflow,150267.0,154152.0,https://anaconda.org/conda-forge/metaflow,2023-07-19 20:43:51.522,143774.0,,,,,2.0,,2023-07-17 15:00:39.868,20.0,,,,,,,,,,,,,,,,,,, +174,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-08-15 10:54:10.000000,2023-08-15 10:54:04,2181.0,77.0,602.0,87.0,226.0,362.0,496.0,4627,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",84.0,33,True,2023-08-11 22:51:29.000,1.12.2,136.0,clearml,,allegroai/trains,,,687.0,674.0,https://pypi.org/project/clearml,215390.0,216021.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30180.0,2.0,1420.0,2023-08-11 22:51:29.000,13.0,,,,,,,,,,,,,,,,,,, +175,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-08-17 09:58:16.000000,2023-08-14 14:02:51,2390.0,131.0,253.0,45.0,2017.0,297.0,636.0,4116,"Aim An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing).",65.0,33,True,2023-06-02 08:59:51.000,3.17.5,717.0,aim,conda-forge/aim,,,,306.0,293.0,https://pypi.org/project/aim,109827.0,111302.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,36899.0,,,,,2.0,,2023-08-16 20:12:58.000,13.0,,,,,,,,,,,,,,,,,,, +176,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2023-08-17 13:19:53.000000,2023-08-03 21:17:25,11628.0,151.0,1030.0,97.0,1223.0,114.0,716.0,3896,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",130.0,33,True,2023-06-30 22:18:12.000,1.15.0,53.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,412.0,405.0,https://pypi.org/project/adversarial-robustness-toolbox,44588.0,45414.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-07-01 02:28:37.959,30590.0,,,,,1.0,,2023-06-30 21:25:00.546,7.0,,,,,,,,,,,,,,,,,,, +177,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-08-15 21:53:24.000000,2023-08-15 21:53:24,1065.0,26.0,548.0,116.0,747.0,238.0,978.0,3560,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",155.0,33,True,2023-04-03 16:30:55.879,6.3.0,44.0,coremltools,conda-forge/coremltools,,,,3433.0,3271.0,https://pypi.org/project/coremltools,157109.0,158718.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,51128.0,,,,,2.0,7544.0,2023-08-15 16:50:49.000,162.0,,,,,,,,,,,,,,,,,,, +178,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,,2013-03-21 18:43:22.000,2023-08-14 12:41:29.000000,2023-07-17 15:51:35,7263.0,46.0,606.0,118.0,1127.0,323.0,1093.0,3099,High-performance interactive 2D/3D data visualization library.,187.0,33,False,2023-05-17 15:53:12.000,0.13.0,33.0,vispy,conda-forge/vispy,,,['jupyter'],1218.0,1218.0,https://pypi.org/project/vispy,81933.0,87936.0,https://anaconda.org/conda-forge/vispy,2023-06-16 13:22:11.969,419660.0,,,,,2.0,,,,,,vispy,https://www.npmjs.com/package/vispy,,,8.0,,,,,,,,,,,, +179,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-08-17 12:12:03.000000,2023-08-11 00:18:24,1639.0,98.0,329.0,52.0,1374.0,71.0,369.0,2711,Bayesian optimization in PyTorch.,98.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],669.0,638.0,https://pypi.org/project/botorch,190150.0,192376.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,80143.0,,,,,1.0,,2023-08-11 00:20:30.000,31.0,,,,,,,,,,,,,,,,,,, +180,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2023-07-23 16:37:56.000000,2021-10-12 13:32:38,1570.0,,502.0,64.0,530.0,303.0,391.0,2645,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,4889.0,4633.0,https://pypi.org/project/scikit-optimize,556634.0,565704.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,662182.0,,,,,1.0,,2021-10-12 14:23:01.204,256.0,,,,,,,,,,,,,,,,,,, +181,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-08-02 17:45:08.000000,2023-08-02 17:44:09,2230.0,16.0,688.0,82.0,196.0,184.0,457.0,2566,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",139.0,33,True,2023-07-10 22:27:02.271,0.17.0,46.0,tf-agents,,,,['tensorflow'],1251.0,1247.0,https://pypi.org/project/tf-agents,313629.0,313629.0,,,,,,,,1.0,,2019-01-17 17:24:54.000,4.0,,,,,,,,,,,,,,,,,,, +182,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2023-07-24 09:55:51.000000,2023-07-18 10:18:05,1614.0,12.0,318.0,59.0,165.0,119.0,190.0,2564,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-07-05 12:16:01.864,0.6.1,98.0,tslearn,conda-forge/tslearn,,,['sklearn'],967.0,924.0,https://pypi.org/project/tslearn,270307.0,299966.0,https://anaconda.org/conda-forge/tslearn,2023-07-05 17:51:11.053,1127042.0,,,,,1.0,,2023-01-20 12:46:36.838,43.0,,,,,,,,,,,,,,,,,,, +183,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-08-15 17:29:15.000000,2023-07-21 20:18:10,985.0,20.0,460.0,55.0,130.0,330.0,163.0,2510,A high performance implementation of HDBSCAN clustering.,84.0,33,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2714.0,2513.0,https://pypi.org/project/hdbscan,553770.0,602583.0,https://anaconda.org/conda-forge/hdbscan,2023-08-03 16:13:47.436,1659672.0,,,,,1.0,,2023-07-18 17:54:02.116,201.0,,,,,,,,,,,,,,,,,,, +184,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-07-21 00:20:21.000000,2023-07-21 00:20:21,2255.0,16.0,535.0,70.0,474.0,254.0,670.0,2154,Survival analysis in Python.,111.0,33,True,2023-05-01 16:16:01.635,0.27.7,168.0,lifelines,conda-forge/lifelines,,,,1886.0,1766.0,https://pypi.org/project/lifelines,336464.0,339737.0,https://anaconda.org/conda-forge/lifelines,2023-06-16 13:24:15.529,281556.0,,,,,2.0,,2023-05-01 16:16:01.635,120.0,,,,,,,,,,,,,,,,,,, +185,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2023-08-13 06:31:18.000000,2023-08-13 06:31:17,3651.0,19.0,189.0,52.0,1326.0,125.0,698.0,1919,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-05-02 20:06:11.980,0.12.2,57.0,pythran,conda-forge/pythran,,,,1107.0,1085.0,https://pypi.org/project/pythran,161387.0,172844.0,https://anaconda.org/conda-forge/pythran,2023-06-25 19:04:18.173,401023.0,,,,,1.0,,2023-05-02 20:06:11.980,22.0,,,,,,,,,,,,,,,,,pythran,python-pythran, +186,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-08-17 14:39:45.000000,2023-08-16 23:03:34,3528.0,193.0,479.0,53.0,3488.0,309.0,776.0,1860,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,143.0,33,True,2023-08-02 16:06:18.000,0.31.1,48.0,pennylane,conda-forge/pennylane,,,,651.0,595.0,https://pypi.org/project/pennylane,37529.0,38531.0,https://anaconda.org/conda-forge/pennylane,2023-06-30 17:57:03.243,21038.0,,,,,1.0,70.0,2023-08-02 16:06:18.000,56.0,,,,,,,,,,,,,,,,,,, +187,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-08-07 13:28:03.000000,2023-07-03 18:08:53,1073.0,3.0,227.0,35.0,244.0,46.0,268.0,1404,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,33,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,6008.0,5927.0,https://pypi.org/project/pmdarima,1470551.0,1496347.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,877072.0,,,,,1.0,,2023-03-15 20:50:50.683,81.0,,,,,,,,,,,,,,,,,,, +188,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-08-14 13:34:10.000000,2023-07-31 08:48:31,2647.0,75.0,244.0,34.0,184.0,43.0,464.0,1141,Python interface for igraph.,71.0,33,False,2023-07-19 15:43:15.000,0.10.6,36.0,python-igraph,conda-forge/igraph,,,,2511.0,2105.0,https://pypi.org/project/python-igraph,258937.0,278361.0,https://anaconda.org/conda-forge/igraph,2023-07-15 16:20:54.682,446494.0,,,,,1.0,561769.0,2023-07-19 15:43:15.000,406.0,,,,,,,,,,,,,,,,,,, +189,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-08-17 02:30:33.000000,2023-08-13 22:49:29,1444.0,9.0,202.0,48.0,505.0,38.0,719.0,1063,Fiona reads and writes geographic data files.,68.0,33,True,2023-05-23 23:23:16.000,1.9.4.post1,111.0,fiona,conda-forge/fiona,,,,15001.0,14134.0,https://pypi.org/project/fiona,5775216.0,5829295.0,https://anaconda.org/conda-forge/fiona,2023-06-16 13:17:11.785,4813051.0,,,,,2.0,,2023-05-23 23:16:02.878,867.0,,,,,,,,,,,,,,,,,,, +190,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-08-17 13:49:55.000000,2023-08-16 23:48:37,10911.0,204.0,230.0,58.0,11326.0,97.0,2057.0,885,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-07-27 23:40:28.000,0.2.120,140.0,hail,,,,['spark'],123.0,108.0,https://pypi.org/project/hail,17423.0,17423.0,,,,,,,,2.0,,2023-07-27 23:40:28.000,15.0,,,,,,,,,,,,,,,,,,, +191,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-08-16 17:53:51.000000,2023-08-14 19:56:07,12980.0,44.0,375.0,53.0,1879.0,151.0,707.0,608,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",145.0,33,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,952.0,852.0,https://pypi.org/project/dipy,14075.0,18686.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,401168.0,,,,,2.0,,2022-03-11 20:19:02.000,100.0,,,,,,,,,,,,,,,,,,, +192,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-08-15 13:10:31.000000,2023-08-06 23:46:30,5554.0,20.0,248.0,36.0,758.0,122.0,382.0,572,Python package to access a cacophony of neuro-imaging file formats.,97.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,14029.0,12912.0,https://pypi.org/project/nibabel,266463.0,273564.0,https://anaconda.org/conda-forge/nibabel,2023-06-16 13:17:25.616,617794.0,,,,,2.0,,2023-04-03 15:53:03.644,1117.0,,,,,,,,,,,,,,,,,,, +193,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-08-17 13:35:05.000000,2023-08-16 02:47:23,2672.0,329.0,3638.0,334.0,2988.0,313.0,1018.0,31653,"Making large AI models cheaper, faster and more accessible.",143.0,32,True,2023-08-01 07:02:44.000,0.3.1,31.0,,,,,,251.0,251.0,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +194,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,,2017-09-01 00:36:51.000,2023-08-13 14:04:46.000000,2023-08-13 14:04:45,2275.0,30.0,4543.0,485.0,147.0,927.0,1325.0,17268,State-of-the-art 2D and 3D Face Analysis Project.,57.0,32,False,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],635.0,635.0,https://pypi.org/project/insightface,269070.0,346538.0,,,,,,,,2.0,309875.0,,,-4.0,,,,,,,,,,,,,,,,,, +195,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-07-06 21:38:18.000000,2023-03-28 11:49:55,2665.0,,2072.0,185.0,1000.0,570.0,696.0,12074,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",68.0,32,True,2022-11-28 08:40:34.942,2.3.1,49.0,paddlehub,,,,['paddle'],1355.0,1349.0,https://pypi.org/project/paddlehub,4321.0,4333.0,,,,,,,,2.0,660.0,2021-12-28 02:55:41.000,6.0,,,,,,,,,,,,,,,,,,, +196,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-05-27 00:04:03.000000,2021-11-29 19:55:31,1571.0,,1126.0,347.0,1682.0,498.0,1294.0,11056,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,378.0,357.0,https://pypi.org/project/turicreate,29770.0,29904.0,,,,,,,,3.0,9135.0,2020-09-30 22:51:40.000,21.0,,,,,,,,,,,,,,,,,,, +197,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-08-07 09:03:21.000000,2023-08-07 09:03:21,1077.0,65.0,1452.0,106.0,82.0,11.0,734.0,7133,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",43.0,32,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,1764.0,1750.0,https://pypi.org/project/deepface,27682.0,27682.0,,,,,,,,2.0,,2023-01-24 23:15:00.809,14.0,,,,,,,,,,,,,,,,,,, +198,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-08-17 07:23:20.000000,2023-08-17 07:21:00,2693.0,14.0,1103.0,210.0,1030.0,18.0,611.0,6315,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-08-17 07:23:20.000,1.3.0,60.0,deeppavlov,,,,['tensorflow'],353.0,353.0,https://pypi.org/project/deeppavlov,7999.0,7999.0,,,,,,,,2.0,,,,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,, +199,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-08-16 12:44:51.000000,2023-08-02 14:57:12,1067.0,19.0,347.0,83.0,508.0,46.0,442.0,5267,A scikit-learn compatible neural network library that wraps PyTorch.,59.0,32,True,2023-06-26 15:29:37.000,0.14.0,14.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",928.0,928.0,https://pypi.org/project/skorch,71760.0,93866.0,https://anaconda.org/conda-forge/skorch,2023-08-08 10:23:25.251,773718.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +200,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-06-16 16:07:59.111000,2020-07-15 13:46:58,1184.0,,1594.0,307.0,292.0,152.0,265.0,5105,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,884.0,850.0,https://pypi.org/project/pyfolio,10425.0,10610.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12223.0,,,,,1.0,,2019-04-15 15:00:21.000,34.0,,,,,,,,,,,,,,,,,,, +201,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-08-16 15:28:28.000000,2023-08-12 10:18:55,28744.0,79.0,1503.0,183.0,1985.0,31.0,1519.0,4500,"mlpack: a fast, header-only C++ machine learning library.",305.0,32,True,2023-06-16 20:41:00.577,4.2.0,44.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2028.0,6199.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,158516.0,,,,,3.0,,2022-12-29 16:55:50.798,1.0,,,,,,,,,,,,,,,,,,, +202,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-08-09 21:36:17.000000,2023-08-09 21:35:56,3729.0,107.0,480.0,83.0,501.0,19.0,432.0,4362,Online machine learning in Python.,103.0,32,True,2023-06-27 09:20:33.000,0.18.0,16.0,river,conda-forge/river,,,,365.0,340.0,https://pypi.org/project/river,13518.0,15218.0,https://anaconda.org/conda-forge/river,2023-06-16 19:25:37.799,47601.0,,,,,2.0,,2023-06-26 21:20:27.105,25.0,,,,,,,,,,,,,,,,,,, +203,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-08-15 23:28:49.000000,2023-07-08 00:30:37,1017.0,10.0,429.0,218.0,702.0,144.0,321.0,4114,Model interpretability and understanding for PyTorch.,102.0,32,True,2022-12-28 01:14:50.000,0.6.0,8.0,captum,conda-forge/captum,,,['pytorch'],1374.0,1374.0,https://pypi.org/project/captum,140404.0,141138.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,14691.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +204,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-08-16 21:02:11.000000,2023-08-08 23:05:58,3463.0,65.0,759.0,55.0,1170.0,305.0,1072.0,3619,"Serve, optimize and scale PyTorch models in production.",166.0,32,True,2023-06-14 23:54:09.000,0.8.1,20.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],11.0,,https://pypi.org/project/torchserve,35836.0,64102.0,https://anaconda.org/pytorch/torchserve,2023-06-14 18:34:05.576,102643.0,https://hub.docker.com/r/pytorch/torchserve,2023-06-14 18:58:43.090933,17.0,1176661.0,2.0,4867.0,2023-06-14 18:13:00.919,11.0,,,,,,,,,,,,,,,,,,, +205,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-07-25 23:46:06.092000,2023-07-20 22:35:36,425.0,17.0,599.0,81.0,219.0,80.0,384.0,3239,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,32,True,2023-06-13 05:29:00.998,0.7.0,45.0,implicit,conda-forge/implicit,,,,1109.0,1071.0,https://pypi.org/project/implicit,133942.0,148791.0,https://anaconda.org/conda-forge/implicit,2023-07-25 23:46:06.092,518750.0,,,,,1.0,537.0,2022-12-11 00:50:00.539,38.0,,,,,,,,,,,,,,,,,,, +206,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-08-16 07:36:25.000000,2023-08-11 20:45:38,3818.0,29.0,504.0,56.0,864.0,320.0,950.0,3195,A highly efficient implementation of Gaussian Processes in PyTorch.,124.0,32,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1548.0,1481.0,https://pypi.org/project/gpytorch,219744.0,222705.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,115498.0,,,,,2.0,,2023-06-02 22:13:00.914,67.0,,,,,,,,,,,,,,,,,,, +207,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-08-16 23:13:52.000000,2023-08-15 16:40:53,1348.0,20.0,426.0,52.0,690.0,49.0,433.0,3090,NeuralProphet: A simple forecasting package.,40.0,32,True,2023-06-14 22:41:07.000,0.6.2,26.0,neuralprophet,,,,['pytorch'],286.0,283.0,https://pypi.org/project/neuralprophet,147115.0,147115.0,,,,,,,,2.0,,2023-08-09 16:12:13.000,3.0,,,,,,,,,,,,,,,,,,, +208,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-06-16 13:24:39.196000,2022-08-22 18:21:12,586.0,,556.0,77.0,72.0,58.0,160.0,2832,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,True,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,3915.0,3756.0,https://pypi.org/project/filterpy,2035253.0,2038423.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,234600.0,,,,,2.0,,2018-10-10 22:38:24.000,159.0,,,,,,,,,,,,,,,,,,, +209,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-08-14 22:35:17.000000,2023-08-04 11:06:01,924.0,35.0,217.0,41.0,486.0,66.0,167.0,2586,JAX-based neural network library.,76.0,32,True,2023-07-14 15:42:12.000,0.0.10,12.0,dm-haiku,conda-forge/dm-haiku,,,,1410.0,1410.0,https://pypi.org/project/dm-haiku,173285.0,173697.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,12368.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +210,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-08-15 16:14:25.000000,2023-08-15 16:10:39,917.0,4.0,388.0,38.0,140.0,42.0,232.0,2264,A library of sklearn compatible categorical variable encoders.,61.0,32,True,2023-08-15 16:14:16.000,2.6.2,31.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1125.0,975.0,https://pypi.org/project/category_encoders,1170980.0,1170980.0,https://anaconda.org/conda-forge/category_encoders,,,,,,,2.0,,2023-08-15 16:14:16.000,150.0,2.0,,,,,,,,,,,,,,,,,, +211,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-06-16 13:21:27.128000,2018-10-12 15:53:05,1251.0,,282.0,52.0,153.0,104.0,218.0,1544,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8017.0,7495.0,https://pypi.org/project/geocoder,439170.0,440820.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,128766.0,,,,,2.0,,2021-12-15 15:58:16.110,522.0,,,,,,,,,,,,,,,,,,,geocoder +212,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-08-17 14:21:54.000000,2023-08-17 11:52:12,782.0,106.0,248.0,51.0,876.0,203.0,264.0,1469,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,76.0,32,True,2023-08-17 11:47:36.000,1.11.2,45.0,optimum,conda-forge/optimum,,,,409.0,391.0,https://pypi.org/project/optimum,186314.0,186851.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,8600.0,,,,,1.0,,2023-08-17 11:45:10.000,18.0,,,,,,,,,,,,,,,,,,, +213,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-08-12 00:27:16.000000,2023-06-02 07:03:26,1146.0,1.0,348.0,64.0,567.0,249.0,340.0,1390,A Jupyter - Leaflet.js bridge.,83.0,32,True,2023-06-02 07:27:55.785,0.17.3,77.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5149.0,4990.0,https://pypi.org/project/ipyleaflet,163498.0,223315.0,https://anaconda.org/conda-forge/ipyleaflet,2023-06-05 07:39:09.482,1055231.0,,,,,2.0,,2023-06-02 07:10:00.534,154.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-06-02 07:27:55.785,5.0,47688.0,,,,,,,,,,,, +214,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-06-16 13:19:47.023000,2023-06-14 18:09:08,1494.0,9.0,148.0,41.0,130.0,13.0,634.0,1139,A Python data analysis library that is optimized for humans instead of machines.,51.0,32,True,2023-01-04 20:14:00.948,1.7.1,29.0,agate,conda-forge/agate,,,,2195.0,2052.0,https://pypi.org/project/agate,3582235.0,3584033.0,https://anaconda.org/conda-forge/agate,2023-06-16 13:19:47.023,140321.0,,,,,2.0,,2023-01-04 20:14:00.948,143.0,,,,,,,,,,,,,,,,,,, +215,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-08-15 07:43:50.000000,2023-08-14 22:36:46,3261.0,13.0,242.0,50.0,342.0,72.0,260.0,986,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-08-14 22:37:25.000,2023.1.2,92.0,pyopencl,conda-forge/pyopencl,,,,1812.0,1613.0,https://pypi.org/project/pyopencl,71130.0,95516.0,https://anaconda.org/conda-forge/pyopencl,2023-08-15 04:21:33.200,926672.0,,,,,2.0,,2023-08-15 00:24:07.000,199.0,,,,,,,,,,,,,,,,,,, +216,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-08-15 22:46:22.000000,2023-08-15 22:46:20,912.0,24.0,214.0,60.0,98.0,45.0,169.0,969,Input pipeline framework.,27.0,32,True,2023-08-11 22:59:18.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1503.0,1447.0,https://pypi.org/project/tensorflow-transform,630377.0,630377.0,,,,,,,,2.0,,2023-08-11 23:14:04.000,56.0,,,,,,,,,,,,,,,,,,, +217,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-08-11 10:58:35.000000,2022-06-10 09:12:18,238.0,,12749.0,1570.0,218.0,707.0,583.0,49049,The worlds simplest facial recognition api for Python and the command line.,54.0,31,False,2018-04-02 17:18:43.000,1.2.2,2.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],10.0,10.0,https://pypi.org/project/face_recognition,49700.0,50221.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,17751.0,,,,,2.0,1112.0,,,,,,,,,,,,,,,,,,,,, +218,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-07-20 07:08:20.000000,2023-07-13 08:50:20,531.0,1.0,2527.0,374.0,114.0,205.0,555.0,23210,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'],568.0,562.0,https://pypi.org/project/spleeter,15637.0,73155.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78202.0,,,,,2.0,2565928.0,2022-06-10 13:19:35.000,6.0,,,,,,,,,,,,,,,,,,, +219,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-08-17 14:31:51.000000,2023-08-16 23:53:14,2291.0,437.0,1967.0,253.0,1202.0,37.0,284.0,18868,You like pytorch? You like micrograd? You love tinygrad!.,200.0,31,True,2023-05-26 01:02:57.000,0.6.0,3.0,,,,,['pytorch'],24.0,24.0,,,,,,,,,,,1.0,,,,,,,,,,,tinygrad/tinygrad,,,,,,,,,,, +220,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-08-09 22:25:24.000000,2023-07-11 13:03:36,1421.0,1.0,3721.0,773.0,1131.0,373.0,588.0,18622,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],497.0,459.0,https://pypi.org/project/magenta,3009.0,3009.0,,,,,,,,2.0,,2018-07-31 15:38:15.000,38.0,,,,,,,,,,,,,,,,,,, +221,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-08-17 10:04:44.000000,2023-08-04 09:41:12,1948.0,26.0,2113.0,262.0,867.0,225.0,554.0,11788,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",119.0,31,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],11.0,10.0,https://pypi.org/project/pyqlib,2195.0,2205.0,,,,,,,,2.0,371.0,2022-06-15 06:55:10.000,1.0,,,,,,,,,,,,,,,,,,, +222,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,2.0,1269.0,423.0,82.0,30.0,157.0,9601,TensorFlow-based neural network library.,58.0,31,True,2020-03-27 10:36:19.000,2.0.0,13.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1125.0,1125.0,https://pypi.org/project/dm-sonnet,26571.0,27127.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,25025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +223,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2023-07-26 20:24:00.000000,2020-11-30 04:34:51,613.0,,2317.0,463.0,256.0,552.0,362.0,9596,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4611.0,4611.0,https://pypi.org/project/tflearn,8551.0,8551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +224,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-08-16 18:41:13.000000,2023-08-16 18:41:12,3598.0,92.0,1007.0,188.0,2545.0,231.0,703.0,9144,"Low-code framework for building custom LLMs, neural networks, and other AI models.",139.0,31,True,2023-08-15 16:26:33.000,0.8.1.post1,37.0,ludwig,,,,['tensorflow'],186.0,186.0,https://pypi.org/project/ludwig,2098.0,2098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +225,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-07-11 22:40:16.000000,2023-06-21 15:51:47,1385.0,1.0,1406.0,304.0,887.0,129.0,757.0,8900,AutoML library for deep learning.,142.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],552.0,541.0,https://pypi.org/project/autokeras,9647.0,9879.0,,,,,,,,2.0,16072.0,2022-04-30 05:46:13.000,11.0,,,,,,,,,,,,,,,,,,, +226,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-08-03 21:07:07.000000,2023-08-03 21:07:06,544.0,9.0,1155.0,164.0,421.0,58.0,468.0,7649,Automatic extraction of relevant features from time series:.,89.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],82.0,10.0,https://pypi.org/project/tsfresh,255688.0,285561.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1165062.0,,,,,2.0,,2021-12-21 03:37:03.000,72.0,,,,,,,,,,,,,,,,,,, +227,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-08-15 17:41:01.000000,2023-08-15 17:36:06,1100.0,28.0,1176.0,139.0,149.0,219.0,1162.0,7570,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,124.0,31,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],557.0,546.0,https://pypi.org/project/pytorch3d,5446.0,8573.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,140746.0,,,,,2.0,,2022-04-28 15:53:26.000,11.0,,,,,,,,,,,,,,,,,,, +228,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-07-31 05:03:03.000000,2023-04-18 11:08:13,2759.0,,1239.0,216.0,697.0,162.0,826.0,7097,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],516.0,477.0,https://pypi.org/project/auto-sklearn,29396.0,30059.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,18579.0,,,,,2.0,49.0,2022-09-20 10:32:07.471,39.0,,,,,,,,,,,,,,,,,,, +229,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-08-14 19:32:43.000000,2023-07-14 06:46:40,354.0,2.0,1455.0,133.0,123.0,12.0,306.0,6945,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2127.0,2024.0,https://pypi.org/project/bayesian-optimization,202853.0,202854.0,,,,,,,,2.0,133.0,2023-04-25 22:00:01.831,103.0,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,, +230,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,1.0,1817.0,201.0,206.0,9.0,1343.0,6276,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,31,True,2019-01-18 19:18:13.000,doc-v0.9.0.1,3.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1342.0,1342.0,https://pypi.org/project/tensorpack,15647.0,16093.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,9789.0,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,,,, +231,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-08-17 14:15:42.000000,2023-08-17 13:04:37,1066.0,59.0,700.0,52.0,826.0,251.0,912.0,6229,A python library for user-friendly forecasting and anomaly detection on time series.,99.0,31,True,2023-08-05 12:01:10.000,0.25.0,36.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,343.0,339.0,https://pypi.org/project/u8darts,10632.0,11987.0,https://anaconda.org/conda-forge/u8darts-all,2023-08-07 19:08:54.536,33746.0,https://hub.docker.com/r/unit8/darts,2023-08-04 15:26:31.586999,,388.0,2.0,,2023-08-05 12:01:10.000,4.0,,,,,,,,,,,,,,,,,,, +232,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-08-17 14:11:32.000000,2023-08-17 04:13:15,36891.0,296.0,721.0,139.0,8307.0,883.0,4755.0,5877,cuDF - GPU DataFrame Library.,258.0,31,True,2023-08-09 17:06:59.000,23.08.00,39.0,cudf,,,,,7.0,,https://pypi.org/project/cudf,1759.0,1759.0,,,,,,,,2.0,,2020-06-01 20:07:47.000,7.0,,,,,,,,,,,,,,,,,,, +233,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-08-02 23:56:26.000000,2023-07-17 16:59:29,152.0,5.0,1004.0,195.0,91.0,121.0,274.0,5475,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,58.0,kaggle,conda-forge/kaggle,,,,382.0,10.0,https://pypi.org/project/kaggle,180373.0,184225.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,134849.0,,,,,2.0,,2023-08-02 23:56:26.000,372.0,,,,,,,,,,,,,,,,,,, +234,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-08-14 12:41:13.000000,2023-05-04 11:45:28,917.0,,634.0,148.0,788.0,141.0,355.0,4642,Deep Learning Visualization Toolkit.,32.0,31,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2256.0,2216.0,https://pypi.org/project/visualdl,151502.0,151510.0,,,,,,,,2.0,319.0,2023-06-05 07:21:00.910,40.0,,,,,,,,,,,,,,,,,,, +235,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-08-17 13:47:33.000000,2023-08-17 13:47:32,1385.0,59.0,709.0,73.0,1690.0,264.0,608.0,3741,Probabilistic time series modeling in Python.,108.0,31,True,2023-08-07 13:56:19.000,0.13.3,92.0,gluonts,anaconda/gluonts,,,['mxnet'],12.0,,https://pypi.org/project/gluonts,276599.0,276619.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,452.0,,,,,2.0,,2023-08-07 13:56:19.000,12.0,,,,,,,,,,,,,,,,,,, +236,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-07-27 17:59:09.000000,2023-07-27 17:51:40,1055.0,18.0,336.0,62.0,1302.0,131.0,158.0,3491,A Python toolbox for performing gradient-free optimization.,49.0,31,True,2023-07-25 17:51:48.000,0.11.0,41.0,nevergrad,conda-forge/nevergrad,,,,544.0,522.0,https://pypi.org/project/nevergrad,71508.0,72541.0,https://anaconda.org/conda-forge/nevergrad,2023-06-16 19:18:43.339,41356.0,,,,,2.0,,2023-07-25 17:51:48.000,22.0,,,,,,,,,,,,,,,,,,, +237,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-08-04 08:27:48.000000,2023-07-27 13:38:57,3654.0,13.0,444.0,102.0,1036.0,219.0,367.0,3457,Plotting library for IPython/Jupyter notebooks.,62.0,31,True,2023-08-04 08:28:46.000,0.12.41,62.0,bqplot,conda-forge/bqplot,,,['jupyter'],46.0,46.0,https://pypi.org/project/bqplot,169663.0,204342.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1202767.0,,,,,2.0,,,,,,bqplot,https://www.npmjs.com/package/bqplot,,,3839.0,,,,,,,,,,,, +238,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-08-09 12:05:47.000000,2023-08-09 12:05:45,1163.0,23.0,1677.0,149.0,209.0,1.0,675.0,3385,A library for transfer learning by reusing parts of TensorFlow models.,106.0,31,True,2023-07-13 14:35:04.000,0.14.0,17.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],,,https://pypi.org/project/tensorflow-hub,2046695.0,2049117.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,87217.0,,,,,2.0,,,,-4.0,,,,,,,,,,,,,,,,,, +239,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-06-16 19:18:40.569000,2022-05-31 03:18:45,1556.0,,425.0,91.0,121.0,71.0,348.0,3122,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,48.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,976.0,919.0,https://pypi.org/project/nmslib,239160.0,241572.0,https://anaconda.org/conda-forge/nmslib,2023-06-16 19:18:40.569,96516.0,,,,,2.0,,2021-02-03 00:02:08.000,57.0,,,,,,,,,,,,,,,,,,, +240,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-08-16 20:50:24.000000,2023-08-16 20:50:23,1186.0,52.0,192.0,27.0,346.0,85.0,122.0,2819,Lightning fast forecasting with statistical and econometric models.,27.0,31,True,2023-02-28 19:28:00.449,1.5.0,26.0,statsforecast,conda-forge/statsforecast,,,,422.0,406.0,https://pypi.org/project/statsforecast,435768.0,438480.0,https://anaconda.org/conda-forge/statsforecast,2023-06-18 08:40:58.514,46104.0,,,,,2.0,,2023-02-28 19:28:00.449,16.0,,,,,,,,,,,,,,,,,,, +241,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-06-16 16:11:46.167000,2023-04-18 19:00:21,461.0,,729.0,120.0,110.0,57.0,365.0,2816,"Hidden Markov Models in Python, with scikit-learn like API.",44.0,31,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2130.0,1993.0,https://pypi.org/project/hmmlearn,209277.0,212621.0,https://anaconda.org/conda-forge/hmmlearn,2023-06-16 16:11:46.167,190629.0,,,,,2.0,,2022-02-10 14:13:50.000,137.0,,,,,,,,,,,,,,,,,,, +242,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-08-05 13:29:17.000000,2023-08-05 13:28:57,327.0,8.0,318.0,65.0,69.0,6.0,115.0,2811,A Python Perceptual Image Hashing Module.,25.0,31,True,2021-03-25 13:49:48.000,4.1.0,7.0,ImageHash,conda-forge/imagehash,,,,10189.0,10189.0,https://pypi.org/project/ImageHash,1225084.0,1229120.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,326928.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +243,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-08-15 05:16:44.000000,2023-08-12 11:13:15,1266.0,41.0,260.0,54.0,209.0,62.0,396.0,2742,STUMPY is a powerful and scalable Python library for modern time series analysis.,33.0,31,True,2022-03-31 21:23:48.000,1.11.1,27.0,stumpy,conda-forge/stumpy,,,,523.0,509.0,https://pypi.org/project/stumpy,172391.0,188453.0,https://anaconda.org/conda-forge/stumpy,2023-06-16 16:15:14.989,819183.0,,,,,2.0,,2022-03-31 21:23:48.000,14.0,,,,,,,,,,,,,,,,,,, +244,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-08-10 16:17:52.000000,2023-08-10 16:17:52,1098.0,50.0,354.0,43.0,60.0,118.0,440.0,2722,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",22.0,31,True,2023-07-07 01:36:10.488,1.0.2,82.0,mljar-supervised,conda-forge/mljar-supervised,,,,85.0,83.0,https://pypi.org/project/mljar-supervised,7816.0,8212.0,https://anaconda.org/conda-forge/mljar-supervised,2023-07-06 16:03:32.383,10310.0,,,,,2.0,,2023-01-02 17:10:49.041,2.0,2.0,,,,,,,,,,,,,,,,,, +245,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-06-16 19:27:50.549000,2023-04-20 03:41:53,699.0,,232.0,37.0,781.0,66.0,280.0,2517,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],2814.0,2756.0,https://pypi.org/project/fairscale,661469.0,668700.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,151861.0,,,,,2.0,,2022-12-11 18:09:31.906,58.0,,,,,,,,,,,,,,,,,,, +246,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-08-17 07:30:52.000000,2023-08-16 16:42:36,10579.0,83.0,368.0,62.0,2782.0,979.0,2068.0,2482,"With Holoviews, your data visualizes itself.",136.0,31,True,2023-08-17 07:08:33.000,1.17.1,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],,,https://pypi.org/project/holoviews,308709.0,344825.0,https://anaconda.org/conda-forge/holoviews,2023-08-17 07:12:54.422,1348046.0,,,,,2.0,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,,,642.0,,,,,,,,,,,, +247,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-08-17 11:38:10.000000,2023-08-17 11:38:09,2887.0,12.0,675.0,80.0,821.0,250.0,605.0,2434,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",119.0,31,True,2023-06-30 15:03:26.000,0.1.23,22.0,pgmpy,,,,,734.0,705.0,https://pypi.org/project/pgmpy,56984.0,56991.0,,,,,,,,2.0,282.0,2022-06-30 09:26:19.000,29.0,,,,,,,,,,,,,,,,,,, +248,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-08-17 14:54:34.000000,2023-08-17 10:51:31,5225.0,139.0,666.0,92.0,5308.0,93.0,814.0,1986,TFX is an end-to-end platform for deploying production ML pipelines.,175.0,31,True,2023-05-03 20:28:00.880,1.13.0,93.0,tfx,,,,['tensorflow'],13.0,,https://pypi.org/project/tfx,45348.0,45348.0,,,,,,,,2.0,,2023-05-03 20:28:00.880,13.0,2.0,,,,,,,,,,,,,,,,,, +249,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-08-15 08:26:17.000000,2023-05-22 12:29:35,12581.0,1.0,285.0,24.0,245.0,65.0,270.0,1806,Huggingface Transformers + Adapters =.,1714.0,31,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],223.0,216.0,https://pypi.org/project/adapter-transformers,16113.0,16113.0,,,,,,,,2.0,,2022-05-18 08:45:47.000,7.0,,,,,,,,,,,,,,,,,,, +250,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,349.0,53.0,77.0,82.0,99.0,1727,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,31,True,2023-04-23 23:49:39.000,3.4.1,7.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5254.0,5254.0,https://pypi.org/project/pyldavis,293377.0,294535.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,71796.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +251,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-08-03 18:28:09.000000,2023-06-10 14:30:23,670.0,10.0,400.0,41.0,58.0,19.0,256.0,1727,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,31,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1042.0,1020.0,https://pypi.org/project/ogb,30468.0,31221.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,26380.0,,,,,2.0,,2022-11-02 22:00:56.960,22.0,,,,,,,,,,,,,,,,,,, +252,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-08-14 12:36:37.000000,2023-08-14 12:35:10,1131.0,101.0,206.0,36.0,1054.0,25.0,495.0,1698,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,31,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],246.0,243.0,https://pypi.org/project/lightning-flash,2121.0,2740.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,14860.0,,,,,1.0,,2022-05-11 18:17:54.000,3.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,, +253,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2023-08-12 00:57:27.000000,2023-08-12 00:57:27,3955.0,53.0,1032.0,154.0,1040.0,63.0,575.0,1649,Documentation and samples for ArcGIS API for Python.,87.0,31,True,2023-01-19 20:46:21.000,2.1.0,37.0,arcgis,,esridocker/arcgis-api-python-notebook,,,33.0,2.0,https://pypi.org/project/arcgis,83224.0,83466.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-06-17 15:56:10.986929,40.0,12150.0,3.0,8873.0,2023-01-27 17:01:00.499,31.0,,,,,,,,,,,,,,,,,,, +254,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-06-19 19:39:48.000000,2023-06-19 19:00:00,1583.0,4.0,271.0,55.0,133.0,78.0,178.0,1602,"CUDA integration for Python, plus shiny features.",80.0,31,True,2023-07-06 18:53:22.000,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2535.0,2319.0,https://pypi.org/project/pycuda,39723.0,48177.0,https://anaconda.org/conda-forge/pycuda,2023-06-16 19:25:22.090,245183.0,,,,,2.0,,2022-12-21 02:24:00.995,216.0,,,,,,,,,,,,,,,,,,, +255,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2023-08-01 18:37:19.000000,2023-08-01 18:37:12,811.0,9.0,320.0,125.0,759.0,200.0,159.0,1429,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",82.0,31,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3093.0,3063.0,https://pypi.org/project/tensorflow-model-optimization,357326.0,357326.0,,,,,,,,2.0,,2023-05-26 02:35:42.850,30.0,,,,,,,,,,,,,,,,,,, +256,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-08-15 07:52:43.000000,2023-08-02 21:45:44,1791.0,22.0,269.0,45.0,257.0,58.0,184.0,1423,TensorLy: Tensor Learning in Python.,64.0,31,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,507.0,461.0,https://pypi.org/project/tensorly,14001.0,19737.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,361395.0,,,,,2.0,,2023-01-14 21:19:00.648,46.0,,,,,,,,,,,,,,,,,,, +257,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-08-11 14:16:32.000000,2023-08-11 14:16:32,1460.0,11.0,160.0,33.0,233.0,1.0,,1273,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",21.0,31,True,2023-08-01 12:10:59.000,1.3.0,72.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1234.0,1194.0,https://pypi.org/project/spacy-transformers,260137.0,261122.0,https://anaconda.org/conda-forge/spacy-transformers,2023-08-09 15:18:33.481,20704.0,,,,,2.0,,2023-08-01 12:09:29.000,40.0,,,,,,,,,,,,,,,,,,, +258,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2023-08-16 01:53:22.000000,2023-07-12 12:05:32,1079.0,24.0,237.0,42.0,482.0,25.0,175.0,1146,ARCH models in Python.,34.0,31,False,2023-05-26 17:13:00.353,5.6.0,44.0,arch,conda-forge/arch-py,,,,1147.0,1085.0,https://pypi.org/project/arch,208309.0,213989.0,https://anaconda.org/conda-forge/arch-py,2023-06-16 16:19:10.926,255613.0,,,,,2.0,,2022-06-22 10:47:05.000,62.0,,,,,,,,,,,,,,,,,,, +259,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105.0,31.0,54.0,72.0,74.0,897,Describing statistical models in Python using symbolic formulas.,17.0,31,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,80023.0,77306.0,https://pypi.org/project/patsy,9438479.0,9541720.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,8672319.0,,,,,2.0,,2022-10-09 20:29:01.698,2717.0,,,,,,,,,,,,,,,,,,, +260,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-07-20 13:07:33.000000,2023-07-20 13:07:33,1845.0,46.0,215.0,19.0,278.0,44.0,264.0,739,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",43.0,31,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,938.0,858.0,https://pypi.org/project/salib,113281.0,114882.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,129737.0,,,,,2.0,,2022-06-22 01:55:54.000,80.0,,,,,,,,,,,,,,,,,,, +261,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-08-17 05:03:20.000000,2023-08-14 15:28:37,156147.0,3779.0,79.0,52.0,1844.0,94.0,279.0,653,TensorFlow ROCm port.,4443.0,31,True,2022-12-06 16:42:53.965,2.9.4,95.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2811.0,2811.0,,,,,,,,3.0,21.0,2023-07-09 23:23:00.955,5.0,,,,,,,,,,,,,,,,,,, +262,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-08-16 19:30:39.000000,2023-08-10 15:56:19,17006.0,156.0,108.0,26.0,3530.0,509.0,3367.0,446,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,61.0,,https://pypi.org/project/datalad,13494.0,23514.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,380776.0,,,,,2.0,,2023-08-10 15:56:42.000,61.0,,,,,,,,,,,,,,,,,,, +263,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1262.0,557.0,836.0,2543.0,17396,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,True,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,19.0,,https://pypi.org/project/cntk,585.0,741.0,,,,,,,,3.0,14203.0,2020-12-09 22:21:57.000,19.0,,,,,,,,,,,,,,,,,,, +264,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-08-14 16:49:34.000000,2023-08-14 16:48:55,286.0,14.0,2451.0,134.0,40.0,109.0,122.0,14992,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",18.0,30,True,2023-08-14 16:49:34.000,1.4.4,174.0,vit-pytorch,,,,['pytorch'],301.0,295.0,https://pypi.org/project/vit-pytorch,15909.0,15909.0,,,,,,,,2.0,,2023-08-14 16:49:34.000,6.0,,,,,,,,,,,,,,,,,,, +265,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-08-17 03:14:59.000000,2023-07-30 10:05:32,2146.0,9.0,2639.0,194.0,3548.0,1171.0,3818.0,11006,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",142.0,30,True,2023-02-23 03:25:22.000,2.6.0,8.0,paddledet,,,,['paddle'],105.0,105.0,https://pypi.org/project/paddledet,919.0,919.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +266,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,,1840.0,220.0,46.0,96.0,94.0,8800,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,30,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],104.0,10.0,https://pypi.org/project/pretrainedmodels,129238.0,129927.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,26202.0,,,,,2.0,,2018-10-29 08:18:45.000,94.0,,,,,,,,,,,,,,,,,,, +267,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-08-16 04:37:52.000000,2023-08-16 04:37:52,1126.0,12.0,1246.0,101.0,588.0,673.0,511.0,7486,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,117.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],1936.0,1936.0,,,3679.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,169253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +268,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,,2017-09-26 08:00:56.000,2023-08-17 06:38:08.000000,2023-03-14 16:10:05,3603.0,,830.0,145.0,440.0,90.0,717.0,6736,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",58.0,30,False,2023-03-14 05:09:33.000,1.5.0,16.0,stanza,stanfordnlp/stanza,,,,2039.0,2039.0,https://pypi.org/project/stanza,124847.0,125012.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,6790.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +269,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-08-16 19:16:41.000000,2023-08-15 01:06:15,5718.0,111.0,792.0,110.0,1514.0,86.0,566.0,6563,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,30,True,2023-08-15 13:31:30.000,2.5.0,42.0,perspective-python,conda-forge/perspective,,,['jupyter'],11.0,11.0,https://pypi.org/project/perspective-python,6621.0,19583.0,https://anaconda.org/conda-forge/perspective,2023-08-15 19:09:49.897,430433.0,,,,,2.0,630.0,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,,,1005.0,,,,,,,,,,,, +270,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-08-17 01:39:07.000000,2023-08-17 01:39:06,1369.0,61.0,508.0,71.0,538.0,64.0,183.0,6351,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",35.0,30,False,2023-05-13 04:22:02.613,2.4.0,23.0,cleanlab,conda-forge/cleanlab,,,,161.0,157.0,https://pypi.org/project/cleanlab,16101.0,16501.0,https://anaconda.org/conda-forge/cleanlab,2023-06-16 19:18:40.370,16039.0,,,,,2.0,,2022-11-28 17:41:01.653,4.0,,,,,,,,,,,,,,,,,,, +271,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-08-17 13:39:22.000000,2023-08-17 13:39:18,908.0,48.0,854.0,137.0,586.0,116.0,278.0,6075,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,79.0,30,True,2023-07-30 13:54:28.000,0.10,12.0,dowhy,conda-forge/dowhy,,,,288.0,283.0,https://pypi.org/project/dowhy,42838.0,43250.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,16077.0,,,,,2.0,33.0,2023-07-30 13:57:04.000,5.0,,,,,,,,,,,,,,,,,,, +272,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,191.0,783.0,38.0,423.0,5888,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,30,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],516.0,504.0,https://pypi.org/project/cleverhans,1061.0,1240.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,6831.0,,,,,2.0,,2021-07-24 08:53:21.000,12.0,,,,,,,,,,,,,,,,,,, +273,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-07-03 20:37:09.000000,2023-04-30 18:36:20,483.0,,661.0,92.0,206.0,137.0,356.0,4401,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1220.0,1173.0,https://pypi.org/project/lightfm,427325.0,429764.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,163455.0,,,,,2.0,,2020-11-27 19:55:08.000,47.0,,,,,,,,,,,,,,,,,,, +274,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-06-16 16:15:44.326000,2022-01-27 13:24:16,139.0,,1002.0,153.0,112.0,94.0,79.0,4373,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,30,False,,,3.0,imutils,conda-forge/imutils,,,,36393.0,36393.0,https://pypi.org/project/imutils,333703.0,336587.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,144204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +275,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-16 21:05:26.000000,2023-08-11 13:10:00,1487.0,62.0,770.0,144.0,1373.0,308.0,392.0,4364,Simple and Distributed Machine Learning.,112.0,30,True,2023-07-10 23:02:02.218,0.11.2,31.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,289022.0,289022.0,,,,,,,,2.0,,2022-11-22 14:39:00.749,3.0,,,,,,,,,,,,,,,,,,, +276,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-08-10 07:32:36.000000,2023-08-10 07:16:20,1603.0,26.0,587.0,59.0,1739.0,123.0,1129.0,4313,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,197.0,30,True,2023-05-01 08:23:15.000,0.4.12,23.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],,,https://pypi.org/project/pytorch-ignite,91987.0,94473.0,https://anaconda.org/pytorch/ignite,2023-06-16 16:08:55.791,154192.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +277,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-08-15 16:17:45.000000,2023-07-21 17:08:11,733.0,34.0,348.0,73.0,262.0,51.0,475.0,4193,Visualizer for pandas data structures.,30.0,30,True,2023-07-19 16:44:58.000,3.3.0,171.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",847.0,830.0,https://pypi.org/project/dtale,229990.0,236163.0,https://anaconda.org/conda-forge/dtale,2023-07-19 17:10:42.907,240749.0,,,,,2.0,,2023-07-19 16:26:09.000,17.0,,,,,,,,,,,,,,,,,,, +278,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-08-14 19:22:07.000000,2023-08-04 17:22:37,534.0,37.0,673.0,79.0,279.0,103.0,238.0,4171,Uplift modeling and causal inference with machine learning algorithms.,54.0,30,True,2023-07-10 01:15:00.701,0.14.0,21.0,causalml,,,,,165.0,164.0,https://pypi.org/project/causalml,283944.0,283944.0,,,,,,,,2.0,,2023-07-10 01:15:00.701,1.0,,,,,,,,,,,,,,,,,,, +279,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,434.0,41.0,124.0,61.0,154.0,4068,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,861.0,835.0,https://pypi.org/project/nlpaug,155862.0,156335.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,12312.0,,,,,2.0,,2022-07-07 05:23:07.000,26.0,,,,,,,,,,,,,,,,,,, +280,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-08-14 22:30:05.000000,2022-09-24 16:20:26,585.0,,786.0,90.0,195.0,99.0,407.0,3924,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3245.0,3213.0,https://pypi.org/project/pandas-ta,69404.0,70216.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,17865.0,,,,,3.0,,2021-07-28 20:51:17.000,32.0,,,,,,,,,,,,,,,,,,, +281,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455.0,72.0,37.0,8.0,121.0,3625,Missing data visualization module for Python.,18.0,30,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,12664.0,12527.0,https://pypi.org/project/missingno,464881.0,468912.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,294273.0,,,,,2.0,,2022-02-27 20:39:36.000,137.0,,,,,,,,,,,,,,,,,,, +282,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-06-16 13:23:10.061000,2022-10-25 17:55:33,609.0,,113.0,76.0,65.0,12.0,120.0,3584,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,30,True,2021-08-23 21:02:05.000,6.0.3,11.0,ftfy,conda-forge/ftfy,,,,12797.0,12797.0,https://pypi.org/project/ftfy,3405829.0,3409308.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,264429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +283,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-08-14 14:54:22.000000,2023-08-09 16:40:49,15247.0,78.0,468.0,71.0,3259.0,796.0,1531.0,3496,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-08-09 21:09:44.000,23.08.00,34.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,1706.0,1706.0,,,,,,,,2.0,,2020-06-01 20:09:10.000,5.0,,,,,,,,,,,,,,,,,,, +284,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-11-22 09:59:24.000000,2022-08-14 17:11:42,3272.0,,703.0,185.0,733.0,262.0,669.0,3379,DyNet: The Dynamic Neural Network Toolkit.,160.0,30,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,278.0,249.0,https://pypi.org/project/dyNET,29749.0,29896.0,,,,,,,,3.0,12100.0,2020-10-21 14:31:01.000,29.0,,,,,,,,,,,,,,,,,,, +285,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-08-14 04:24:17.000000,2023-02-05 22:03:50,437.0,,484.0,63.0,199.0,171.0,142.0,3368,Header-only C++/python library for fast approximate nearest neighbors.,65.0,30,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,3219.0,3168.0,https://pypi.org/project/hnswlib,840340.0,843605.0,https://anaconda.org/conda-forge/hnswlib,2023-06-28 06:05:30.185,104481.0,,,,,2.0,,2023-02-05 22:20:00.654,51.0,,,,,,,,,,,,,,,,,,, +286,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-08-17 11:34:27.000000,2023-07-28 15:49:47,1288.0,4.0,773.0,269.0,1428.0,256.0,507.0,3345,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,30,True,2023-05-08 19:49:25.000,0.15.2,24.0,torchtext,,,,['pytorch'],,,https://pypi.org/project/torchtext,470711.0,470711.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +287,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-08-15 19:37:14.000000,2023-08-15 18:16:11,972.0,4.0,570.0,101.0,330.0,29.0,705.0,3157,"Fast, flexible and easy to use probabilistic modelling in Python.",69.0,30,True,2023-08-15 18:16:33.000,1.0.2,71.0,pomegranate,conda-forge/pomegranate,,,,1035.0,978.0,https://pypi.org/project/pomegranate,18680.0,21365.0,https://anaconda.org/conda-forge/pomegranate,2023-06-16 16:15:58.517,131608.0,,,,,3.0,,2023-08-15 18:16:33.000,57.0,,,,,,,,,,,,,,,,,,, +288,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-08-10 22:59:01.000000,2023-08-10 21:20:25,1035.0,2.0,374.0,65.0,440.0,197.0,258.0,2758,A Hyperparameter Tuning Library for Keras.,56.0,30,True,2023-04-13 04:37:00.942,1.3.5,26.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2659.0,2603.0,https://pypi.org/project/keras-tuner,176060.0,177020.0,https://anaconda.org/conda-forge/keras-tuner,2023-06-15 21:56:32.772,23047.0,,,,,2.0,,2023-04-13 04:37:00.942,56.0,,,,,,,,,,,,,,,,,,, +289,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-08-08 00:52:36.000000,2023-08-08 00:52:31,3420.0,54.0,338.0,156.0,1134.0,34.0,57.0,2641,Neural Network Libraries.,72.0,30,True,2023-07-14 02:40:27.000,1.36.0,76.0,nnabla,,,,,54.0,,https://pypi.org/project/nnabla,3941.0,3950.0,,,,,,,,3.0,702.0,2022-05-01 11:42:01.000,54.0,,,,,,,,,,,,,,,,,,, +290,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-07-13 20:18:43.899000,2023-07-13 17:20:36,617.0,9.0,317.0,49.0,117.0,55.0,131.0,2616,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,891.0,867.0,https://pypi.org/project/dtreeviz,122327.0,124017.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,55798.0,,,,,2.0,,2022-07-07 17:18:00.886,24.0,,,,,,,,,,,,,,,,,,, +291,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-08-17 05:35:28.000000,2023-08-16 12:43:02,1079.0,74.0,208.0,26.0,916.0,82.0,359.0,2458,A python library for self-supervised learning on images.,29.0,30,True,2023-08-08 14:36:18.000,1.4.15,102.0,lightly,,,,['pytorch'],162.0,158.0,https://pypi.org/project/lightly,9619.0,9619.0,,,,,,,,2.0,,2023-08-08 14:36:18.000,4.0,,,,,,,,,,,,,,,,,,, +292,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-08-01 19:18:42.000000,2023-07-27 00:28:47,2830.0,11.0,962.0,122.0,480.0,53.0,289.0,2450,IPython Parallel: Interactive Parallel Computing in Python.,112.0,30,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],293.0,,https://pypi.org/project/ipyparallel,278146.0,288198.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,884649.0,,,,,2.0,,2023-04-14 13:35:06.415,293.0,,,,,,,,,,,,,,,,,,, +293,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-08-17 14:11:43.000000,2023-08-16 22:06:40,6269.0,574.0,307.0,75.0,7340.0,126.0,283.0,2415,"Determined is a deep-learning platform that simplifies distributed training, hyperparameter tuning, experiment..",102.0,30,True,2023-08-01 14:58:25.000,0.23.4,419.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,13035.0,13207.0,,,,,,,,3.0,6900.0,2023-08-15 22:14:17.000,4.0,,,,,,,,,,,,,,,,,,, +294,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,353.0,85.0,166.0,215.0,146.0,2267,D3 Renderings of Matplotlib Graphics.,51.0,30,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5368.0,4953.0,https://pypi.org/project/mpld3,264618.0,267459.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,184662.0,,,,,2.0,,2022-12-10 14:03:04.289,407.0,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,743.0,,,,,,,,,,,, +295,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2023-08-17 09:50:31.000000,2023-08-16 23:25:48,2048.0,211.0,161.0,29.0,812.0,15.0,96.0,2190,Database system for building simpler and faster AI-powered applications.,58.0,30,True,2023-06-30 04:21:58.000,0.3.1,29.0,evadb,,,,['pytorch'],18.0,18.0,https://pypi.org/project/evadb,489.0,30630.0,,,,,,,,3.0,391843.0,,,,,,,,,,georgia-tech-db/evadb,,,,,,,,,,, +296,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-08-10 11:30:02.000000,2023-08-01 12:07:51,1342.0,18.0,271.0,22.0,43.0,24.0,193.0,1969,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,353.0,344.0,https://pypi.org/project/explainerdashboard,37929.0,39131.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,38481.0,,,,,2.0,,2023-08-01 11:53:07.000,9.0,,,,,,,,,,,,,,,,,,, +297,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-08-16 05:19:45.000000,2023-08-16 05:19:43,522.0,8.0,157.0,44.0,68.0,6.0,119.0,1879,a python library for doing approximate and phonetic matching of strings.,30.0,30,True,,,12.0,jellyfish,conda-forge/jellyfish,,,,6608.0,6608.0,https://pypi.org/project/jellyfish,2222361.0,2239598.0,https://anaconda.org/conda-forge/jellyfish,2023-07-02 18:32:29.866,655006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +298,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-08-14 11:09:18.000000,2023-08-09 07:05:49,2440.0,7.0,435.0,74.0,1251.0,143.0,679.0,1758,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],584.0,548.0,https://pypi.org/project/gpflow,51306.0,51676.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,23317.0,,,,,3.0,,2023-08-09 09:23:26.000,36.0,,,,,,,,,,,,,,,,,,, +299,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-08-04 15:48:32.000000,2023-06-24 11:01:56,930.0,3.0,166.0,46.0,284.0,104.0,116.0,1493,Evaluate: A library for easily evaluating machine learning models and datasets.,121.0,30,True,2022-12-13 13:35:51.000,0.4.0,13.0,evaluate,,,,,3475.0,3376.0,https://pypi.org/project/evaluate,747245.0,747245.0,,,,,,,,2.0,,2022-12-13 13:28:07.299,99.0,,,,,,,,,,,,,,,,,,, +300,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-08-17 11:00:48.000000,2023-08-17 11:00:44,1068.0,74.0,170.0,22.0,138.0,43.0,121.0,1470,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-15 11:25:56.000,0.32.0,35.0,audiomentations,,,,,324.0,319.0,https://pypi.org/project/audiomentations,21082.0,21082.0,,,,,,,,2.0,,2023-08-15 11:25:56.000,5.0,,,,,,,,,,,,,,,,,,, +301,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-08-04 16:50:06.000000,2023-08-02 14:39:40,3622.0,217.0,238.0,32.0,532.0,80.0,653.0,1431,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,72.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,41.0,40.0,https://pypi.org/project/avalanche-lib,1815.0,1815.0,,,,,,,,2.0,4.0,2023-07-28 14:24:47.000,1.0,,,,,,,,,,,,,,,,,,, +302,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-07-21 21:17:07.584000,2023-07-04 11:04:34,170.0,12.0,175.0,30.0,16.0,2.0,75.0,1393,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,30,True,2023-07-04 11:06:01.504,0.1.730,74.0,autoviz,conda-forge/autoviz,,,,536.0,529.0,https://pypi.org/project/autoviz,449805.0,451481.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,40230.0,,,,,2.0,,2022-10-03 01:43:19.267,7.0,,,,,,,,,,,,,,,,,,, +303,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-08-01 12:04:14.000000,2023-08-01 12:04:06,917.0,5.0,427.0,88.0,197.0,49.0,233.0,1350,The Python ensemble sampling toolkit for affine-invariant MCMC.,68.0,30,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2351.0,2005.0,https://pypi.org/project/emcee,103618.0,107092.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,302277.0,,,,,3.0,,2022-05-10 15:29:37.000,346.0,,,,,,,,,,,,,,,,,,, +304,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-08-03 09:47:07.000000,2023-08-03 09:42:45,1496.0,22.0,161.0,19.0,743.0,108.0,427.0,1184,Clean APIs for data cleaning. Python implementation of R package Janitor.,106.0,30,True,2023-07-27 14:28:59.000,0.25.0,58.0,pyjanitor,conda-forge/pyjanitor,,,,457.0,439.0,https://pypi.org/project/pyjanitor,32271.0,35006.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,177814.0,,,,,2.0,,2023-07-27 14:28:53.000,18.0,,,,,,,,,,,,,,,,,,, +305,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-08-17 11:09:12.000000,2023-08-17 10:11:56,3444.0,224.0,50.0,149.0,444.0,107.0,293.0,1180,An open-source plotting library for statistical data.,19.0,30,True,2023-08-17 11:44:10.000,4.0.0,63.0,lets-plot,,,,,40.0,39.0,https://pypi.org/project/lets-plot,11166.0,11177.0,,,,,,,,2.0,522.0,2023-08-17 11:09:12.000,1.0,,,,,,,,,,,,,,,,,,, +306,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-08-17 10:52:32.000000,2023-08-17 10:51:40,2989.0,25.0,256.0,34.0,37.0,2.0,468.0,1160,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-07-23 14:16:32.000,0.37.6,100.0,ktrain,,,,['tensorflow'],449.0,449.0,https://pypi.org/project/ktrain,22179.0,22179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +307,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,44.0,176.0,93.0,102.0,1028,"Utilities for working with image data, text data, and sequence data.",52.0,30,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,6217205.0,6249686.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2013841.0,,,,,3.0,,2020-05-14 03:55:22.223,1572.0,,,,,,,,,,,,,,,,,,, +308,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-08-04 16:05:05.649000,2023-07-27 18:39:39,9991.0,174.0,215.0,34.0,1380.0,205.0,335.0,977,Computations and statistics on manifolds with geometric structures.,82.0,30,True,2023-06-28 08:34:00.511,2.6.0,31.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,79.0,76.0,https://pypi.org/project/geomstats,3349.0,3456.0,https://anaconda.org/conda-forge/geomstats,2023-08-04 16:05:05.649,1504.0,,,,,3.0,,2023-06-28 08:34:00.511,3.0,,,,,,,,,,,,,,,,,,, +309,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-08-17 11:11:03.000000,2023-08-15 18:35:40,12140.0,235.0,265.0,32.0,1625.0,434.0,577.0,937,Python package for earth-observing satellite data processing.,147.0,30,False,2023-07-03 12:46:39.737,0.43.0,88.0,satpy,conda-forge/satpy,,,,119.0,103.0,https://pypi.org/project/satpy,3468.0,7745.0,https://anaconda.org/conda-forge/satpy,2023-07-03 21:06:11.068,162552.0,,,,,3.0,,2023-02-09 10:49:31.597,16.0,,,,,,,,,,,,,,,,,,, +310,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,241.0,41.0,502.0,266.0,252.0,862,Scalable Machine Learning with Dask.,77.0,30,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,913.0,841.0,https://pypi.org/project/dask-ml,209337.0,220073.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,751522.0,,,,,2.0,,2020-05-06 15:02:41.000,72.0,,,,,,,,,,,,,,,,,,, +311,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-08-16 07:19:23.000000,2023-08-16 07:19:23,582.0,19.0,87.0,26.0,426.0,279.0,371.0,792,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",42.0,30,True,2023-06-06 09:09:01.000,0.8.4,16.0,hvplot,conda-forge/hvplot,,,,3446.0,3446.0,https://pypi.org/project/hvplot,131952.0,143515.0,https://anaconda.org/conda-forge/hvplot,2023-06-20 07:28:53.177,439430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +312,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-08-11 17:08:27.000000,2023-08-11 17:08:27,650.0,10.0,97.0,13.0,91.0,65.0,60.0,782,A Python nearest neighbor descent for approximate nearest neighbors.,26.0,30,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4187.0,4133.0,https://pypi.org/project/pynndescent,807605.0,839221.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1580808.0,,,,,2.0,,2022-10-31 17:20:00.872,54.0,,,,,,,,,,,,,,,,,,, +313,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-08-07 04:37:09.000000,2023-08-07 04:36:46,941.0,2.0,170.0,37.0,112.0,31.0,52.0,675,Snowball compiler and stemming algorithms.,33.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6800.0,4.0,https://pypi.org/project/snowballstemmer,9542777.0,9626199.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7007520.0,,,,,2.0,,2021-11-16 18:38:34.000,6796.0,,,,,,,,,,,,,,,,,,, +314,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-08-06 13:44:02.000000,2023-08-06 13:32:53,1615.0,20.0,277.0,41.0,1223.0,261.0,354.0,661,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",105.0,30,True,2023-08-02 02:27:26.000,0.33.0,40.0,tensorflow-io,,,,['tensorflow'],31.0,,https://pypi.org/project/tensorflow-io,1672234.0,1672234.0,,,,,,,,3.0,,2023-08-02 02:25:49.000,31.0,,,,,,,,,,,,,,,,,,, +315,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-08-17 14:12:46.000000,2023-08-17 11:55:57,1589.0,109.0,47.0,14.0,1220.0,34.0,193.0,403,The MLOps stack component for experiment tracking.,47.0,30,True,2023-08-16 10:24:19.000,1.5.0,171.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,570279.0,575571.0,https://anaconda.org/conda-forge/neptune-client,2023-08-16 12:48:50.709,206393.0,,,,,2.0,,2023-08-16 10:24:19.000,44.0,,,,,,,,,,,,,,,,,,, +316,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-08-08 09:17:25.121000,2023-07-24 08:34:41,564.0,3.0,38.0,14.0,63.0,6.0,25.0,202,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-07-21 07:42:13.000,0.7.10,45.0,blis,conda-forge/cython-blis,,,,31216.0,30971.0,https://pypi.org/project/blis,5040710.0,5095753.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1926514.0,,,,,2.0,,2023-07-21 07:28:48.000,245.0,,,,,,,,,,,,,,,,,,, +317,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-07-14 14:56:05.000000,2023-04-19 14:13:08,2404.0,,3342.0,588.0,213.0,42.0,,11329,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1710.0,1651.0,https://pypi.org/project/backtrader,12625.0,12625.0,,,,,,,,2.0,,2020-07-03 13:02:14.000,59.0,,,,,,,,,,,,,,,,,,, +318,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1700.0,199.0,68.0,96.0,34.0,9234,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,29,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,9.0,1.0,https://pypi.org/project/english-words,543766.0,543766.0,,,,,,,,2.0,,2023-01-06 00:05:02.564,8.0,,,,,,,,,,,,,,,,,,, +319,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-06-29 10:33:10.000000,2023-06-19 11:23:04,378.0,3.0,2068.0,290.0,95.0,286.0,441.0,7962,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1410.0,1410.0,https://pypi.org/project/imageai,5163.0,18988.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6202.0,,,,,2.0,874154.0,,,,,,,,,,,,,,,,,,,,, +320,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-08-16 23:56:05.000000,2023-08-16 23:55:56,220.0,9.0,1270.0,173.0,45.0,67.0,234.0,6440,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-06-06 12:53:09.000,1.4.0,12.0,face-alignment,,,,['pytorch'],10.0,10.0,https://pypi.org/project/face-alignment,55060.0,55060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +321,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-08-17 13:53:15.000000,2023-08-17 13:24:31,1873.0,133.0,767.0,95.0,2077.0,251.0,826.0,6123,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",107.0,29,True,2023-06-30 22:19:00.811,0.8.2,1245.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,34789.0,34863.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,14.0,3674.0,2.0,,2023-08-17 09:04:27.000,7.0,,,,,,,,,,,,,,,,,,, +322,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-08-09 20:44:49.000000,2023-05-20 00:55:24,246.0,1.0,850.0,122.0,38.0,60.0,142.0,4785,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'],2004.0,1971.0,https://pypi.org/project/torchdiffeq,1240976.0,1241302.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,12747.0,,,,,2.0,,2022-04-22 15:21:47.000,33.0,,,,,,,,,,,,,,,,,,, +323,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-06-19 05:07:43.000000,2023-06-19 05:07:42,1342.0,1.0,374.0,71.0,364.0,96.0,460.0,4077,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2628.0,2522.0,https://pypi.org/project/sacred,27880.0,28060.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,3786.0,,,,,2.0,,2023-01-25 17:37:52.489,106.0,,,,,,,,,,,,,,,,,,, +324,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-07-17 02:18:14.000000,2022-12-25 20:03:53,522.0,,692.0,176.0,79.0,8.0,268.0,3997,A python wrapper for Alpha Vantage API for financial data.,42.0,29,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,414.0,385.0,https://pypi.org/project/alpha_vantage,32151.0,32311.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,4988.0,,,,,2.0,,2020-12-21 02:36:15.000,29.0,,,,,,,,,,,,,,,,,,, +325,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-06-16 19:28:08.623000,2023-02-17 16:34:52,3273.0,,505.0,121.0,361.0,65.0,728.0,3798,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",71.0,29,True,,,12.0,dedupe,conda-forge/dedupe,,,,290.0,290.0,https://pypi.org/project/dedupe,86874.0,88792.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,38371.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +326,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-06-16 19:24:38.213000,2022-08-23 15:59:41,615.0,,796.0,149.0,116.0,132.0,99.0,3730,Technical Analysis Library using Pandas and Numpy.,29.0,29,True,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2470.0,2427.0,https://pypi.org/project/ta,58134.0,58727.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,17803.0,,,,,2.0,,2022-08-23 16:03:04.047,43.0,,,,,,,,,,,,,,,,,,, +327,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-06-16 16:14:38.774000,2023-06-01 01:39:02,234.0,1.0,262.0,46.0,48.0,29.0,87.0,3501,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-04-05 14:52:44.000,1.1,14.0,gpustat,conda-forge/gpustat,,,,3998.0,3869.0,https://pypi.org/project/gpustat,1205838.0,1210587.0,https://anaconda.org/conda-forge/gpustat,2023-06-16 16:14:38.774,251706.0,,,,,2.0,,2023-04-05 14:50:55.141,129.0,,,,,,,,,,,,,,,,,,, +328,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,46.0,1084.0,6.0,351.0,3165,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1002.0,970.0,https://pypi.org/project/catalyst,52813.0,52813.0,,,,,,,,2.0,,2022-04-29 04:46:04.000,32.0,,,,,,,,,,,,,,,,,,, +329,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-08-04 14:36:42.000000,2023-04-10 19:56:01,1585.0,,508.0,41.0,688.0,429.0,274.0,3137,Time series forecasting with PyTorch.,35.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,68186.0,69573.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,48569.0,,,,,2.0,,2020-07-26 21:35:43.000,10.0,,,,,,,,,,,,,,,,,,, +330,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-08-16 21:52:48.000000,2023-08-16 21:52:43,1097.0,101.0,441.0,61.0,595.0,2.0,474.0,3122,On-device wake word detection powered by deep learning.,35.0,29,True,2023-06-07 17:55:33.855,2.2.1,31.0,pvporcupine,,,,,33.0,22.0,https://pypi.org/project/pvporcupine,3409.0,3409.0,,,,,,,,2.0,,2022-06-28 23:59:24.000,11.0,,,,,,,,,,,,,,,,,,, +331,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,,2021-10-11 14:48:38.000,2023-08-17 11:40:43.000000,2023-08-15 15:59:35,1451.0,76.0,219.0,14.0,1646.0,243.0,717.0,2973,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,46.0,29,False,2023-07-27 06:53:09.000,0.17.4,57.0,deepchecks,,,,,238.0,238.0,https://pypi.org/project/deepchecks,50408.0,50441.0,,,,,,,,2.0,738.0,,,,,,,,,,,,,,,,,,,,, +332,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-08-07 10:39:21.000000,2023-06-20 03:14:12,435.0,5.0,273.0,34.0,465.0,30.0,30.0,2833,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'],1015.0,973.0,https://pypi.org/project/torch_optimizer,82239.0,82545.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,8570.0,,,,,2.0,,2021-10-31 03:00:19.000,42.0,,,,,,,,,,,,,,,,,,, +333,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-07-19 21:32:03.000000,2021-10-29 06:15:49,2535.0,,412.0,63.0,931.0,315.0,745.0,2757,StellarGraph - Machine Learning on Graphs.,36.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],236.0,228.0,https://pypi.org/project/stellargraph,9174.0,9174.0,,,,,,,,2.0,,2018-09-14 03:43:24.000,8.0,,,,,,,,,,,,,,,,,,, +334,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-08-11 17:56:48.000000,2023-06-03 05:02:19,540.0,13.0,468.0,97.0,42.0,82.0,239.0,2654,Learning to Rank in TensorFlow.,32.0,29,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,119886.0,119886.0,,,,,,,,2.0,,2023-08-11 17:56:48.000,13.0,,,,,,,,,,,,,,,,,,, +335,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-12-25 20:52:27.000000,2022-12-25 20:52:27,843.0,,500.0,99.0,1043.0,237.0,297.0,2516,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",84.0,29,True,2020-08-13 19:16:27.000,0.10.0,15.0,gluonnlp,,,,['mxnet'],1344.0,1344.0,https://pypi.org/project/gluonnlp,132176.0,132176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +336,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-08-08 17:08:29.000000,2023-08-08 17:08:26,746.0,24.0,567.0,175.0,70.0,5.0,511.0,2302,Python sync/async framework for Interactive Brokers API.,35.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,26613.0,27323.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,34814.0,,,,,2.0,,2022-11-21 09:32:01.715,23.0,,,,,,,,,,,,,,,,,,, +337,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-08-16 16:15:38.000000,2023-08-16 16:15:27,1407.0,261.0,551.0,42.0,27.0,1.0,295.0,2225,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,29,True,2023-08-05 13:13:21.000,2.2.6,110.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,757.0,757.0,,,,,,,,2.0,,2023-08-05 13:13:21.000,,,,,,,,,,,,,,,,,,,, +338,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-08-01 10:17:09.000000,2023-08-01 10:17:08,630.0,27.0,223.0,46.0,610.0,130.0,219.0,2129,Algorithms for explaining machine learning models.,18.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,506.0,506.0,https://pypi.org/project/alibi,16151.0,16151.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +339,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-07-21 19:33:11.000000,2023-04-03 00:19:55,1816.0,,246.0,91.0,123.0,29.0,230.0,2094,"NLP, before and after spaCy.",35.0,29,False,2023-04-02 22:46:00.000,0.13.0,29.0,textacy,conda-forge/textacy,,,,1512.0,1512.0,https://pypi.org/project/textacy,47322.0,49115.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,134476.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +340,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-08-15 14:08:44.000000,2023-08-14 10:00:39,737.0,35.0,272.0,34.0,801.0,42.0,219.0,2018,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",35.0,29,True,2022-09-29 11:52:22.795,0.6.0,12.0,python-doctr,,,,"['tensorflow', 'pytorch']",178.0,175.0,https://pypi.org/project/python-doctr,8525.0,65963.0,,,,,,,,2.0,1723146.0,2022-09-29 11:52:22.795,3.0,,,,,,,,,,,,,,,,,,, +341,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-08-08 14:12:52.000000,2023-08-08 14:12:47,699.0,29.0,186.0,35.0,502.0,134.0,231.0,1906,"Algorithms for outlier, adversarial and drift detection.",18.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,372.0,366.0,https://pypi.org/project/alibi-detect,16605.0,16605.0,,,,,,,,2.0,,2022-06-01 16:23:29.000,6.0,,,,,,,,,,,,,,,,,,, +342,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-07-19 13:59:08.000000,2023-07-19 13:22:55,187.0,2.0,251.0,58.0,65.0,75.0,183.0,1833,A Python wrapper for the tesseract-ocr API.,29.0,29,True,2023-07-19 13:59:08.000,2.6.1,18.0,tesserocr,conda-forge/tesserocr,,,,940.0,868.0,https://pypi.org/project/tesserocr,57135.0,59775.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,121480.0,,,,,2.0,39.0,2023-07-19 13:59:08.000,72.0,,,,,,,,,,,,,,,,,,, +343,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-06-16 19:25:41.987000,2023-05-23 20:45:11,496.0,3.0,365.0,84.0,93.0,76.0,250.0,1741,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1572.0,1546.0,https://pypi.org/project/bt,8283.0,8893.0,https://anaconda.org/conda-forge/bt,2023-06-16 19:25:41.987,17084.0,,,,,2.0,,2021-04-21 02:52:26.000,26.0,,,,,,,,,,,,,,,,,,, +344,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-08-14 18:53:36.000000,2023-07-31 07:31:59,799.0,17.0,358.0,35.0,815.0,175.0,274.0,1628,A Python package to assess and improve fairness of machine learning models.,75.0,29,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,164235.0,165096.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,28434.0,,,,,2.0,,2023-07-27 16:36:24.000,24.0,,,,,,,,,,,,,,,,,,, +345,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-08-08 23:40:16.000000,2023-08-08 23:40:11,359.0,4.0,240.0,48.0,305.0,232.0,178.0,1625,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],248.0,247.0,https://pypi.org/project/tensorflow-recommenders,362953.0,362953.0,,,,,,,,2.0,,2023-02-03 02:17:00.422,1.0,,,,,,,,,,,,,,,,,,, +346,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-06-15 20:53:40.904000,2023-05-28 23:36:46,406.0,6.0,269.0,59.0,84.0,21.0,95.0,1578,ffn - a financial function library for Python.,30.0,29,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,382.0,353.0,https://pypi.org/project/ffn,250694.0,250874.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5065.0,,,,,2.0,,2021-04-21 02:47:21.000,29.0,,,,,,,,,,,,,,,,,,, +347,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-08-14 16:12:00.000000,2023-08-14 16:02:23,1697.0,34.0,360.0,57.0,95.0,51.0,405.0,1567,Reinforcement Learning environments based on the 1993 game Doom.,53.0,29,True,2023-05-12 10:16:57.000,1.2.0,26.0,vizdoom,,,,,215.0,199.0,https://pypi.org/project/vizdoom,962.0,1093.0,,,,,,,,1.0,11720.0,2022-04-18 01:07:39.000,16.0,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,, +348,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-06-16 16:16:35.554000,2022-08-31 01:52:51,509.0,,308.0,104.0,49.0,7.0,151.0,1566,Distributed Deep learning with Keras & Spark.,27.0,29,True,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",75.0,72.0,https://pypi.org/project/elephas,72016.0,72279.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,12646.0,,,,,2.0,,2023-03-04 14:29:00.451,3.0,,,,,,,,,,,,,,,,,,, +349,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-06-28 20:49:21.000000,2023-06-21 21:30:40,940.0,25.0,567.0,108.0,274.0,11.0,299.0,1427,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,29,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,138.0,136.0,https://pypi.org/project/tabpy,8709.0,8761.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,3984.0,,,,,2.0,,2023-01-30 23:34:02.112,2.0,,,,,,,,,,,,,,,,,,, +350,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-08-17 12:17:47.000000,2023-08-16 21:04:12,709.0,86.0,78.0,20.0,241.0,55.0,158.0,1311,Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/.,32.0,29,True,2023-07-26 00:11:28.000,0.10.11,43.0,equinox,,,,['jax'],240.0,210.0,https://pypi.org/project/equinox,27444.0,27444.0,,,,,,,,1.0,,2023-07-26 00:11:28.000,30.0,,,,,,,,,,,,,,,,,,, +351,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,399.0,52.0,37.0,17.0,138.0,1174,"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,,,,2225.0,2192.0,https://pypi.org/project/kmodes,186404.0,187246.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,33694.0,,,,,2.0,,2022-04-14 21:22:39.000,33.0,,,,,,,,,,,,,,,,,,, +352,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-08-17 03:06:43.000000,2023-08-17 03:06:36,970.0,49.0,101.0,25.0,113.0,26.0,49.0,1157,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,29,True,2023-08-01 22:00:10.000,1.3.18,42.0,imodels,,,,,55.0,51.0,https://pypi.org/project/imodels,84624.0,84624.0,,,,,,,,2.0,,2023-08-01 16:25:13.000,4.0,,,,,,,,,,,,,,,,,,, +353,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-08-16 06:34:28.000000,2023-07-22 14:48:14,967.0,70.0,200.0,23.0,109.0,23.0,180.0,968,Survival analysis built on top of scikit-learn.,18.0,29,False,2023-06-11 15:03:35.997,0.21.0,25.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],333.0,325.0,https://pypi.org/project/scikit-survival,98901.0,101442.0,https://anaconda.org/conda-forge/scikit-survival,2023-06-11 18:58:18.077,53374.0,,,,,2.0,,2023-06-11 15:03:35.997,8.0,,,,,,,,,,,,,,,,,,, +354,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-07-15 18:12:04.000000,2023-05-28 23:30:39,485.0,3.0,120.0,31.0,125.0,25.0,72.0,833,Python bindings and utilities for GeoJSON.,53.0,29,True,2023-02-16 01:19:03.498,3.0.1,30.0,geojson,conda-forge/geojson,,,,15052.0,13817.0,https://pypi.org/project/geojson,1126615.0,1134874.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,735123.0,,,,,3.0,,2023-01-26 16:04:02.467,1235.0,,,,,,,,,,,,,,,,,,, +355,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2023-08-14 06:58:23.000000,2023-08-14 05:59:53,922.0,24.0,149.0,48.0,81.0,37.0,138.0,727,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",755.0,725.0,https://pypi.org/project/tensorflow-data-validation,233838.0,233845.0,,,,,,,,3.0,468.0,2023-08-14 06:58:23.000,30.0,,,,,,,,,,,,,,,,,,, +356,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-08-16 20:52:48.000000,2022-11-18 23:21:14,272.0,,107.0,24.0,50.0,36.0,52.0,443,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,23.0,29,True,2022-08-12 20:27:02.876,3.0.0,26.0,audioread,conda-forge/audioread,,,,14922.0,14564.0,https://pypi.org/project/audioread,1102989.0,1111125.0,https://anaconda.org/conda-forge/audioread,2023-06-16 13:18:56.097,691612.0,,,,,2.0,,2022-08-12 20:27:02.876,358.0,,,,,,,,,,,,,,,,,,, +357,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-04-02 11:36:25.000000,2020-01-31 13:06:18,347.0,,4768.0,639.0,370.0,495.0,435.0,14686,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,,,,,556.0,517.0,https://pypi.org/project/baselines,950.0,950.0,,,,,,,,2.0,,2018-02-26 17:07:07.000,39.0,,,,,,,,,,,,,,,,,,, +358,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-06-29 16:28:26.000000,2023-06-29 16:28:24,325.0,5.0,1372.0,440.0,46.0,96.0,86.0,10185,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],46.0,10.0,https://pypi.org/project/dopamine-rl,33794.0,33794.0,,,,,,,,2.0,,2022-09-21 20:20:42.649,36.0,,,,,,,,,,,,,,,,,,, +359,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-08-17 14:45:07.000000,2023-08-17 14:40:38,383.0,226.0,618.0,78.0,152.0,74.0,178.0,8194,"PandasAI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making..",41.0,28,True,2023-08-17 14:45:07.000,1.0.3,52.0,pandas-ai,,,,,827.0,827.0,https://pypi.org/project/pandas-ai,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +360,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-08-13 03:27:02.000000,2023-08-13 03:27:02,2833.0,33.0,1990.0,184.0,369.0,160.0,467.0,7956,FinRL: Financial Reinforcement Learning.,101.0,28,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,1090.0,1090.0,,,,,,,,2.0,,2022-01-08 13:58:14.000,,,,,,,,,,,,,,,,,,,, +361,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,352.0,79.0,47.0,230.0,7786,StarCraft II Learning Environment.,39.0,28,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,619.0,593.0,https://pypi.org/project/pysc2,1069.0,1492.0,,,,,,,,3.0,30506.0,2022-07-13 12:02:04.256,26.0,,,,,,,,,,,,,,,,,,, +362,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:56:22.000000,2023-05-24 15:56:22,277.0,3.0,869.0,269.0,98.0,78.0,81.0,7159,Visualizations for machine learning datasets.,31.0,28,True,2019-07-01 16:35:20.000,1.0.0,4.0,facets-overview,,,,['jupyter'],194.0,194.0,https://pypi.org/project/facets-overview,201542.0,201542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +363,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2022-12-20 01:05:44.000000,2019-10-23 20:45:07,6625.0,,1555.0,625.0,2111.0,453.0,1338.0,6328,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:12:12.000,1.0.5,47.0,nupic,,,,,117.0,117.0,https://pypi.org/project/nupic,1791.0,1791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +364,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-06-16 16:08:26.431000,2023-01-27 13:12:44,652.0,,959.0,146.0,93.0,73.0,304.0,5915,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,60.0,10.0,https://pypi.org/project/scikit-surprise,117572.0,122522.0,https://anaconda.org/conda-forge/scikit-surprise,2023-06-16 16:08:26.431,331716.0,,,,,2.0,,2022-09-23 17:17:00.724,50.0,,,,,,,,,,,,,,,,,,, +365,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1198.0,155.0,950.0,60.0,780.0,5613,Gluon CV Toolkit.,118.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],71.0,10.0,https://pypi.org/project/gluoncv,41699.0,41699.0,,,,,,,,3.0,,2022-07-07 09:00:54.000,61.0,,,,,,,,,,,,,,,,,,, +366,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-12-15 12:11:23.000000,2019-11-11 22:14:54,308.0,,1360.0,208.0,157.0,42.0,227.0,5433,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],758.0,704.0,https://pypi.org/project/keras-rl,1621.0,1621.0,,,,,,,,2.0,,2018-06-01 07:52:24.000,54.0,,,,,,,,,,,,,,,,,,, +367,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-11-14 14:53:09.000000,2022-09-18 19:55:03,775.0,,1129.0,215.0,90.0,187.0,120.0,5386,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,394.0,375.0,https://pypi.org/project/pyAudioAnalysis,16849.0,16849.0,,,,,,,,3.0,,2022-02-07 22:36:53.000,19.0,,,,,,,,,,,,,,,,,,, +368,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-08-16 22:57:50.000000,2023-08-15 22:31:13,6132.0,61.0,507.0,152.0,1884.0,287.0,1315.0,4202,ArrayFire: a general purpose GPU library.,88.0,28,True,2023-02-13 16:47:37.000,3.8.3,33.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,954.0,997.0,,,,,,,,2.0,4308.0,2022-02-22 21:42:15.000,7.0,,,,,,,,,,,,,,,,,,, +369,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,947.0,144.0,30.0,46.0,77.0,4028,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,,,,7264.0,7076.0,https://pypi.org/project/vadersentiment,256097.0,256539.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,12831.0,,,,,2.0,,2020-05-22 15:07:00.000,188.0,,,,,,,,,,,,,,,,,,, +370,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,,971.0,219.0,408.0,140.0,402.0,3849,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,,,,,1259.0,999.0,https://pypi.org/project/lasagne,4351.0,4351.0,,,,,,,,3.0,,2015-08-13 21:10:53.000,260.0,,,,,,,,,,,,,,,,,,, +371,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-07-20 17:47:12.000000,2023-04-06 17:07:15,247.0,,799.0,48.0,48.0,61.0,106.0,3671,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,15.0,28,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1277.0,1258.0,https://pypi.org/project/facenet-pytorch,27932.0,42617.0,,,,,,,,3.0,660847.0,2021-03-10 01:00:20.000,19.0,,,,,,,,,,,,,,,,,,, +372,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-08-17 14:09:15.000000,2023-08-09 10:34:37,927.0,24.0,709.0,85.0,185.0,68.0,621.0,3662,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",47.0,28,True,2023-08-09 11:17:17.000,76,70.0,opencv-python,,,,,,,https://pypi.org/project/opencv-python,9699091.0,9699091.0,,,,,,,,3.0,,,,-6.0,,,,,,,,,,,,,,,,,, +373,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-07-27 13:51:50.000000,2023-07-26 02:32:14,1136.0,4.0,664.0,60.0,1005.0,135.0,729.0,3613,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",84.0,28,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],73.0,71.0,https://pypi.org/project/mmocr,6193.0,6193.0,,,,,,,,2.0,,2022-05-05 14:21:18.000,2.0,,,,,,,,,,,,,,,,,,, +374,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-08-11 07:20:07.000000,2023-08-11 07:20:07,437.0,4.0,506.0,114.0,83.0,16.0,98.0,3226,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,2136.0,2136.0,https://pypi.org/project/sumy,23453.0,23693.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6256.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +375,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-06-16 16:13:38.456000,2022-09-18 07:45:53,376.0,,238.0,62.0,45.0,,,3154,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",13.0,28,True,2022-09-18 07:47:16.000,4.5.0,11.0,textdistance,conda-forge/textdistance,,,,4688.0,4688.0,https://pypi.org/project/textdistance,326980.0,333960.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,438959.0,,,,,2.0,914.0,,,,,,,,,,,,,,,,,,,,, +376,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-08-01 13:10:26.000000,2022-01-25 17:32:20,4123.0,,357.0,80.0,61.0,151.0,186.0,3017,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,418.0,392.0,https://pypi.org/project/aubio,3986.0,12119.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,626242.0,,,,,3.0,,2019-02-08 11:21:02.000,26.0,,,,,,,,,,,,,,,,,,, +377,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,,455.0,84.0,245.0,61.0,154.0,2970,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,62.0,28,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,158.0,156.0,https://pypi.org/project/fastnlp,17752.0,17753.0,,,,,,,,2.0,74.0,2022-10-31 14:47:34.183,2.0,,,,,,,,,,,,,,,,,,, +378,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-08-14 01:31:24.000000,2023-06-13 12:27:52,469.0,5.0,426.0,35.0,488.0,6.0,,2929,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,31.0,28,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,600.0,591.0,https://pypi.org/project/sahi,76286.0,78946.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,45907.0,,,,,3.0,17234.0,2022-06-25 20:18:21.000,9.0,,,,,,,,,,,,,,,,,,, +379,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-08-05 12:00:27.000000,2023-07-22 08:44:14,1017.0,21.0,226.0,60.0,106.0,5.0,258.0,2898,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,13.0,28,True,2023-07-22 18:36:03.000,idgear-0.3.1,21.0,vidgear,,,,,438.0,431.0,https://pypi.org/project/vidgear,21855.0,21872.0,,,,,,,,3.0,908.0,2023-07-22 18:35:14.000,7.0,,,,,,,,,,,,,,,,,,, +380,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,,329.0,68.0,167.0,164.0,112.0,2676,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,481955.0,483842.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,141570.0,,,,,2.0,,2022-05-11 09:37:12.000,90.0,,,,,,,,,,,,,,,,,,, +381,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-06-16 16:15:26.623000,2023-05-16 07:26:21,1020.0,,409.0,130.0,129.0,189.0,245.0,2553,PYthon svg GrAph plotting Library.,73.0,28,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,631.0,,https://pypi.org/project/pygal,120377.0,121016.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,31991.0,,,,,2.0,,2021-11-24 21:09:00.501,631.0,,,,,,,,,,,,,,,,,,, +382,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-06-16 19:20:41.396000,2022-05-25 09:55:55,1696.0,,413.0,45.0,347.0,32.0,333.0,2535,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,28,False,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,527.0,513.0,https://pypi.org/project/foolbox,1879.0,2193.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,11643.0,,,,,2.0,,2022-04-02 15:26:45.000,14.0,,,,,,,,,,,,,,,,,,, +383,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-07-24 16:06:20.000000,2023-07-24 16:06:19,2605.0,7.0,319.0,34.0,492.0,44.0,211.0,2453,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",58.0,28,True,2022-11-02 19:43:17.000,0.3.8,45.0,textattack,conda-forge/textattack,,,,193.0,187.0,https://pypi.org/project/textattack,3550.0,3733.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6426.0,,,,,2.0,,2022-05-25 19:09:47.000,6.0,,,,,,,,,,,,,,,,,,, +384,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-07-25 14:23:03.000000,2023-07-25 13:53:12,1427.0,10.0,286.0,42.0,291.0,30.0,135.0,2394,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,28,True,2023-07-25 14:23:03.000,2.3.5,33.0,shapash,,,,['jupyter'],124.0,122.0,https://pypi.org/project/shapash,5643.0,5643.0,,,,,,,,2.0,,2023-07-25 14:23:03.000,2.0,,,,,,,,,,,,,,,,,,, +385,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,8.0,335.0,44.0,57.0,64.0,200.0,2285,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],237.0,231.0,https://pypi.org/project/spektral,8008.0,8008.0,,,,,,,,2.0,,2023-06-01 22:17:00.684,6.0,,,,,,,,,,,,,,,,,,, +386,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-08-17 07:11:46.000000,2023-08-17 06:25:17,1302.0,18.0,193.0,49.0,215.0,144.0,146.0,1895,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",38.0,28,True,2023-07-19 17:41:35.000,0.29.3,158.0,graphistry,,,,['jupyter'],101.0,96.0,https://pypi.org/project/graphistry,3328.0,3328.0,,,,,,,,2.0,,2023-07-19 17:41:35.000,5.0,,,,,,,,,,,,,,,,,,, +387,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-08-16 23:20:32.500000,2023-08-16 20:53:03,1032.0,42.0,179.0,25.0,355.0,72.0,254.0,1667,Scalable and user friendly neural forecasting algorithms.,27.0,28,True,2023-08-16 20:56:25.000,1.6.2,18.0,neuralforecast,conda-forge/neuralforecast,,,,38.0,35.0,https://pypi.org/project/neuralforecast,8044.0,8586.0,https://anaconda.org/conda-forge/neuralforecast,2023-08-16 23:20:32.500,9216.0,,,,,2.0,,2023-08-16 20:56:25.000,3.0,,,,,,,,,,,,,,,,,,, +388,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-06-20 13:16:51.000000,2023-06-20 13:16:50,391.0,5.0,151.0,25.0,80.0,41.0,34.0,1551,A Python package for time series classification.,14.0,28,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,463.0,444.0,https://pypi.org/project/pyts,95182.0,96111.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,20449.0,,,,,2.0,,2021-10-31 13:51:09.000,19.0,,,,,,,,,,,,,,,,,,, +389,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-08-16 01:33:09.000000,2023-08-16 01:33:09,1027.0,2.0,194.0,53.0,196.0,31.0,263.0,1458,A full spaCy pipeline and models for scientific/biomedical documents.,30.0,28,True,2023-04-29 21:21:03.000,0.5.2,9.0,scispacy,,,,,741.0,741.0,https://pypi.org/project/scispacy,56306.0,56306.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +390,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-08-01 19:43:38.000000,2023-08-01 19:37:56,696.0,2.0,294.0,43.0,346.0,68.0,186.0,1457,Training PyTorch models with differential privacy.,73.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],656.0,639.0,https://pypi.org/project/opacus,29157.0,29747.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11187.0,,,,,2.0,99.0,2022-05-06 09:43:18.000,17.0,,,,,,,,,,,,,,,,,,, +391,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-08-14 08:44:19.000000,2023-06-04 12:33:17,1222.0,2.0,130.0,31.0,93.0,35.0,226.0,1392,Statistical package in Python based on Pandas.,42.0,28,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1425.0,1371.0,https://pypi.org/project/pingouin,70515.0,72353.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,102935.0,,,,,3.0,,2023-01-02 16:01:44.953,54.0,,,,,,,,,,,,,,,,,,, +392,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-08-15 11:33:28.000000,2023-08-15 11:33:25,159.0,2.0,163.0,34.0,70.0,18.0,48.0,1329,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,6.0,28,True,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],1232.0,1224.0,https://pypi.org/project/torchsde,1279306.0,1279897.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18332.0,,,,,2.0,,2021-07-20 07:09:56.000,8.0,,,,,,,,,,,,,,,,,,, +393,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-07-31 09:33:45.000000,2023-07-28 08:48:08,844.0,13.0,260.0,74.0,469.0,35.0,195.0,1205,Underthesea - Vietnamese NLP Toolkit.,17.0,28,False,2023-07-28 08:49:28.000,6.7.0,124.0,underthesea,,,,,776.0,750.0,https://pypi.org/project/underthesea,9036.0,9099.0,,,,,,,,2.0,4789.0,2023-07-28 08:49:28.000,26.0,,,,,,,,,,,,,,,,,,, +394,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-07-30 07:07:37.000000,2023-07-30 07:05:58,66.0,21.0,284.0,57.0,61.0,12.0,107.0,1160,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,28,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,935.0,906.0,https://pypi.org/project/stockstats,16139.0,16139.0,,,,,,,,3.0,,2023-07-30 07:07:37.000,29.0,,,,,,,,,,,,,,,,,,, +395,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-06-16 16:07:55.979000,2020-10-14 13:22:39,167.0,,336.0,71.0,83.0,27.0,26.0,1100,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1328.0,1185.0,https://pypi.org/project/empyrical,26661.0,27026.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,24098.0,,,,,3.0,,2020-10-13 21:29:19.000,143.0,,,,,,,,,,,,,,,,,,, +396,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-06-16 16:20:28.705000,2021-02-12 19:04:59,2079.0,,239.0,40.0,36.0,66.0,590.0,1093,"pyclustering is a Python, C++ data mining library.",26.0,28,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,551.0,520.0,https://pypi.org/project/pyclustering,74555.0,75841.0,https://anaconda.org/conda-forge/pyclustering,2023-06-16 16:20:28.705,56386.0,,,,,3.0,465.0,2020-11-25 22:41:20.000,31.0,,,,,,,,,,,,,,,,,,, +397,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-08-17 14:46:25.000000,2023-08-17 13:57:14,1720.0,137.0,247.0,20.0,1968.0,93.0,223.0,927,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,38.0,28,True,2023-07-07 02:56:02.235,0.29.0,47.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",66.0,63.0,https://pypi.org/project/raiwidgets,6672.0,6672.0,,,,,,,,2.0,,2023-01-18 23:21:09.936,3.0,,,,,,,,,,,,,,,,,,, +398,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-06-16 19:22:55.678000,2023-03-10 19:47:48,1140.0,,236.0,61.0,244.0,22.0,335.0,912,Search and download Copernicus Sentinel satellite images.,43.0,28,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,500.0,464.0,https://pypi.org/project/sentinelsat,13644.0,14342.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,23651.0,,,,,3.0,260.0,2017-03-06 02:33:09.000,36.0,,,,,,,,,,,,,,,,,,, +399,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-07-06 21:23:13.000000,2023-04-19 21:43:19,547.0,,165.0,35.0,84.0,88.0,122.0,863,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1240.0,1217.0,https://pypi.org/project/scikit-multilearn,83277.0,83277.0,,,,,,,,2.0,,2018-12-10 16:24:47.000,23.0,,,,,,,,,,,,,,,,,,, +400,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-08-10 17:39:30.000000,2023-08-10 17:18:33,2870.0,50.0,98.0,15.0,212.0,8.0,111.0,674,Python bindings for MPI.,25.0,28,True,2022-11-02 14:23:02.643,3.1.4,26.0,mpi4py,conda-forge/mpi4py,,,,688.0,,https://pypi.org/project/mpi4py,165223.0,190529.0,https://anaconda.org/conda-forge/mpi4py,2023-06-16 13:22:26.826,2068065.0,,,,,3.0,14445.0,2022-11-02 14:23:02.643,688.0,,,,,,,,,,,,,,,,,,, +401,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-08-16 02:49:41.000000,2023-08-15 19:46:25,451.0,24.0,100.0,23.0,82.0,16.0,93.0,611,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,28,True,2023-04-21 11:05:59.132,1.9.0,38.0,tinytag,,,,,940.0,834.0,https://pypi.org/project/tinytag,18385.0,18385.0,,,,,,,,3.0,,2022-03-12 17:51:16.000,106.0,,,,,,,,,,,,,,,,,,, +402,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2023-08-15 23:51:56.000000,2023-08-15 23:51:55,793.0,48.0,123.0,28.0,81.0,27.0,75.0,549,For recording and retrieving metadata associated with ML developer and data scientist workflows.,17.0,28,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,366.0,344.0,https://pypi.org/project/ml-metadata,98658.0,98697.0,,,,,,,,3.0,2104.0,2023-08-10 00:37:12.000,22.0,,,,,,,,,,,,,,,,,,, +403,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-08-10 16:45:56.000000,2023-08-10 16:42:09,774.0,35.0,71.0,29.0,340.0,110.0,221.0,506,"Simple, concise geographical visualization in Python.",29.0,28,True,2023-07-20 16:57:49.000,1.10.1,51.0,geoviews,conda-forge/geoviews,,,,767.0,733.0,https://pypi.org/project/geoviews,7446.0,12790.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,187070.0,,,,,3.0,,2023-07-20 15:18:17.000,34.0,,,,,,,,,,,,,,,,,,, +404,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-08-11 14:23:28.113587,2022-12-05 17:31:41,1886.0,,825.0,219.0,451.0,48.0,260.0,13831,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",47.0,27,True,2021-06-06 17:14:16.000,5.14.0,29.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,29349.0,29753.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-08-11 14:23:28.113587,14.0,19826.0,3.0,,,,,,,,,,,,,,,,,,,,,, +405,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-08-17 14:48:56.000000,2023-08-10 13:43:20,1717.0,275.0,645.0,91.0,1742.0,105.0,534.0,12310,Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud..,62.0,27,True,2023-08-10 21:59:43.000,1.4.1,53.0,,,,,,,,,,27.0,,,,,,,,3.0,765.0,,,,,,,,,,,,,,,,,,,,, +406,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,,1500.0,131.0,51.0,155.0,141.0,7485,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],43.0,,https://pypi.org/project/efficientnet-pytorch,146879.0,225837.0,,,,,,,,2.0,3237282.0,2021-04-15 15:17:23.000,43.0,,,,,,,,,,,,,,,,,,, +407,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-08-03 07:24:09.000000,2023-08-03 07:24:06,540.0,10.0,648.0,109.0,158.0,30.0,309.0,5009,Python-tesseract is an optical character recognition (OCR) tool for python.,42.0,27,True,2022-03-14 19:28:46.000,0.3.10,23.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,1163090.0,1174864.0,https://anaconda.org/conda-forge/pytesseract,2023-06-16 16:15:55.452,576966.0,,,,,3.0,,,,-5.0,,,,,,,,,,,,,,,,,, +408,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796.0,,780.0,277.0,437.0,221.0,328.0,4798,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],337.0,297.0,https://pypi.org/project/edward,426.0,426.0,,,,,,,,3.0,16.0,2018-01-22 06:03:05.000,40.0,,,,,,,,,,,,,,,,,,, +409,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,,964.0,283.0,227.0,10.0,355.0,3858,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,360750.0,361191.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,19441.0,,,,,3.0,,2022-04-21 20:05:56.000,5.0,,,,,,,,,,,,,,,,,,, +410,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2022-10-26 06:08:44.000000,2021-05-10 18:34:53,57.0,,406.0,39.0,54.0,118.0,43.0,3854,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],10496.0,10390.0,https://pypi.org/project/torchsummary,124047.0,124047.0,,,,,,,,2.0,,2018-09-26 05:07:28.000,106.0,,,,,,,,,,,,,,,,,,, +411,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-08-10 11:39:31.000000,2022-08-06 21:47:18,182.0,,381.0,65.0,55.0,86.0,54.0,3841,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,487.0,483.0,https://pypi.org/project/layoutparser,80231.0,80231.0,,,,,,,,3.0,,2022-04-06 04:38:09.000,4.0,,,,,,,,,,,,,,,,,,, +412,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-08-17 14:19:40.000000,2023-08-17 14:19:05,1182.0,6.0,396.0,82.0,52.0,56.0,199.0,3177,A library of reinforcement learning components and agents.,83.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],164.0,161.0,https://pypi.org/project/dm-acme,1563.0,1784.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7305.0,,,,,2.0,,2022-02-10 06:52:27.000,3.0,,,,,,,,,,,,,,,,,,, +413,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050.0,218.0,3648.0,429.0,1108.0,2964,Unified and efficient Machine Learning.,248.0,27,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,1761.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,127841.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1501.0,3.0,,,,,,,,,,,,shogun,,,,,,,,,, +414,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,,642.0,111.0,73.0,88.0,123.0,2871,Productivity Tools for Plotly + Pandas.,38.0,27,False,,,,cufflinks,,,,['pandas'],8878.0,8878.0,https://pypi.org/project/cufflinks,100990.0,100990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +415,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,167.0,214.0,42.0,146.0,2763,Performance analysis of predictive (alpha) stock factors.,25.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,659.0,641.0,https://pypi.org/project/alphalens,2106.0,2398.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19323.0,,,,,3.0,,2020-04-27 21:03:10.000,18.0,,,,,,,,,,,,,,,,,,, +416,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-08-14 00:01:16.000000,2023-08-14 00:01:16,1564.0,72.0,219.0,47.0,2002.0,17.0,616.0,2567,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,27,True,2023-07-05 07:59:47.000,1.1.1,24.0,towhee,,,,,,,https://pypi.org/project/towhee,3088.0,3147.0,,,,,,,,3.0,1196.0,2022-07-07 12:28:54.000,,,,,,,,,,,,,,,,,,,, +417,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-08-11 02:47:56.000000,2023-07-20 22:17:22,3415.0,12.0,500.0,111.0,330.0,385.0,642.0,2489,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,27,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,502.0,486.0,https://pypi.org/project/essentia,3753.0,3753.0,,,,,,,,3.0,,2023-01-11 14:10:02.525,16.0,,,,,,,,,,,,,,,,,,, +418,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-06-16 13:22:21.652000,2018-08-19 12:37:47,130.0,,274.0,66.0,58.0,20.0,39.0,2341,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,2018-08-19 12:21:01.000,0.3.7,17.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],3749.0,3749.0,https://pypi.org/project/scikit-plot,413337.0,415535.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,160466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +419,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-08-11 01:58:25.000000,2023-07-23 14:42:27,191.0,5.0,429.0,36.0,235.0,52.0,258.0,2245,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,31130.0,31390.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5210.0,,,,,2.0,,2023-07-23 13:26:57.000,11.0,,,,,,,,,,,,,,,,,,, +420,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-08-17 14:21:06.000000,2023-08-17 12:53:23,465.0,39.0,409.0,27.0,537.0,78.0,482.0,2212,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",48.0,27,True,2023-06-15 14:34:02.513,0.6.0,26.0,anomalib,,,,,22.0,21.0,https://pypi.org/project/anomalib,7431.0,7517.0,,,,,,,,3.0,1737.0,2023-06-15 14:34:02.513,1.0,,,,,,,,,,,,,,,,,,, +421,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-08-16 05:15:46.000000,2023-08-07 19:43:34,461.0,9.0,342.0,62.0,143.0,27.0,72.0,2037,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2023-08-07 19:52:09.000,3.2.5,21.0,pytextrank,,,,,468.0,452.0,https://pypi.org/project/pytextrank,59657.0,59657.0,,,,,,,,3.0,,2023-08-07 19:52:09.000,16.0,,,,,,,,,,,,,,,,,,, +422,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-06-16 19:18:00.316000,2021-07-09 11:06:18,56.0,,481.0,40.0,23.0,66.0,38.0,2029,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],3934.0,3883.0,https://pypi.org/project/mtcnn,39356.0,39593.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,9972.0,,,,,3.0,,2021-07-09 11:16:39.000,51.0,,,,,,,,,,,,,,,,,,, +423,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-08-09 09:26:45.000000,2023-07-11 07:11:36,210.0,6.0,222.0,44.0,82.0,17.0,115.0,1914,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,27,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",101.0,98.0,https://pypi.org/project/causalnex,11109.0,11109.0,,,,,,,,2.0,,2021-11-11 15:15:32.000,3.0,,,,,,,,,,,,,,,,,,, +424,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-08-15 19:25:46.000000,2023-08-15 18:42:02,824.0,22.0,429.0,63.0,279.0,111.0,91.0,1801,Library for training machine learning models with privacy for training data.,55.0,27,True,2023-06-28 20:10:26.996,0.8.10,28.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,14995.0,14997.0,,,,,,,,2.0,117.0,2022-10-19 20:29:02.229,14.0,,,,,,,,,,,,,,,,,,, +425,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-08-04 02:52:06.000000,2023-08-04 02:52:06,1364.0,4.0,304.0,28.0,368.0,81.0,119.0,1535,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,27,True,2023-05-18 06:27:52.000,2.2.5,20.0,pgl,,,,['paddle'],47.0,45.0,https://pypi.org/project/pgl,1281.0,1281.0,,,,,,,,2.0,,2022-08-03 07:40:41.441,2.0,,,,,,,,,,,,,,,,,,, +426,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-08-17 11:34:34.000000,2023-08-16 22:37:20,1238.0,122.0,279.0,28.0,1228.0,134.0,87.0,1509,Pytorch domain library for recommendation systems.,169.0,27,True,2023-03-15 20:48:02.000,0.4.0,77.0,torchrec-nightly-cpu,,,,,22.0,22.0,https://pypi.org/project/torchrec-nightly-cpu,91.0,91.0,,,,,,,,2.0,,2022-05-12 18:55:21.000,,,,,,,,,,,,,,,,,,,, +427,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,74.0,742.0,54.0,168.0,1478,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,,,,,387.0,357.0,https://pypi.org/project/chainercv,1977.0,1977.0,,,,,,,,3.0,,2019-06-12 11:55:40.000,30.0,,,,,,,,,,,,,,,,,,, +428,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-05-16 13:01:43.000000,2023-05-16 13:01:43,657.0,,241.0,49.0,310.0,95.0,14.0,1451,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,27,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],877.0,844.0,https://pypi.org/project/mesh-tensorflow,144002.0,144002.0,,,,,,,,3.0,,2022-05-15 21:06:13.000,33.0,,,,,,,,,,,,,,,,,,, +429,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-08-01 17:44:52.000000,2023-08-01 17:44:51,579.0,129.0,302.0,52.0,113.0,54.0,29.0,1381,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,80.0,79.0,https://pypi.org/project/aix360,710.0,710.0,,,,,,,,2.0,,2023-07-31 18:54:38.000,1.0,,,,,,,,,,,,,,,,,,, +430,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-08-17 12:55:17.000000,2023-08-17 12:55:14,6041.0,106.0,248.0,47.0,2282.0,307.0,1267.0,1359,cuGraph - RAPIDS Graph Analytics Library.,102.0,27,True,2023-08-09 21:12:40.000,23.08.00,31.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,170.0,748.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,16199.0,,,,,3.0,,2020-06-01 20:09:06.000,2.0,,,,,,,,,,,,,,,,,,, +431,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-06-16 19:18:35.492000,2022-06-21 11:53:05,286.0,,233.0,50.0,183.0,53.0,119.0,1342,Metric learning algorithms in Python.,22.0,27,False,2020-07-02 13:02:01.780,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],302.0,290.0,https://pypi.org/project/metric-learn,17925.0,18172.0,https://anaconda.org/conda-forge/metric-learn,2023-06-16 19:18:35.492,10165.0,,,,,3.0,,2016-07-14 01:21:21.000,12.0,,,,,,,,,,,,,,,,,,, +432,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-06-16 19:19:31.487000,2023-06-04 07:48:29,1028.0,3.0,159.0,18.0,61.0,22.0,305.0,1327,PyTorch Extension Library of Optimized Scatter Operations.,27.0,27,True,2023-03-16 14:37:01.000,2.1.1,31.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],67.0,,https://pypi.org/project/torch-scatter,43624.0,49309.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-06-16 19:19:31.487,216046.0,,,,,2.0,,2022-11-24 15:04:00.671,67.0,,,,,,,,,,,,,,,,,,, +433,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-01 12:36:30.000000,2023-05-26 06:04:28,671.0,19.0,147.0,25.0,122.0,3.0,122.0,1250,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-05-24 15:25:03.278,1.0.0,26.0,opentsne,conda-forge/opentsne,,,,653.0,638.0,https://pypi.org/project/opentsne,20827.0,24763.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,220459.0,,,,,3.0,,2022-03-18 13:53:43.000,15.0,,,,,,,,,,,,,,,,,,, +434,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-08-15 08:41:38.000000,2023-08-15 08:41:36,1354.0,30.0,247.0,73.0,102.0,21.0,52.0,1211,Model analysis tools for TensorFlow.,55.0,27,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/tensorflow-model-analysis,230338.0,230338.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +435,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,142.0,37.0,214.0,109.0,152.0,1179,Real-time stream processing for python.,48.0,27,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,452.0,415.0,https://pypi.org/project/streamz,17246.0,27312.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,714734.0,,,,,3.0,,2022-07-27 18:09:03.803,37.0,,,,,,,,,,,,,,,,,,, +436,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-06-06 09:46:41.000000,2023-06-06 09:46:40,415.0,2.0,318.0,40.0,295.0,21.0,200.0,1124,A research toolkit for particle swarm optimization in Python.,45.0,27,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,306.0,292.0,https://pypi.org/project/pyswarms,9469.0,9469.0,,,,,,,,3.0,,2021-01-03 21:34:15.000,14.0,,,,,,,,,,,,,,,,,,, +437,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-08-14 23:37:29.000000,2023-08-08 13:40:53,374.0,31.0,174.0,24.0,30.0,3.0,126.0,1057,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,27,True,2023-08-08 13:40:37.000,0.12.0,57.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],407.0,398.0,https://pypi.org/project/prince,51293.0,51293.0,https://anaconda.org/conda-forge/prince-factor-analysis,,,,,,,3.0,,2023-08-08 13:40:37.000,9.0,,,,,,,,,,,,,,,,,,, +438,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-08-17 12:50:53.000000,2023-08-10 23:41:49,760.0,22.0,105.0,32.0,361.0,67.0,281.0,928,BAyesian Model-Building Interface (Bambi) in Python.,33.0,27,True,2023-07-02 15:44:00.377,0.12.0,27.0,bambi,conda-forge/bambi,,,,87.0,81.0,https://pypi.org/project/bambi,17479.0,18260.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,25017.0,,,,,3.0,,2023-07-02 15:44:00.377,6.0,,,,,,,,,,,,,,,,,,, +439,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,1.0,149.0,49.0,56.0,21.0,65.0,806,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1224.0,1097.0,https://pypi.org/project/mahotas,9301.0,19363.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,382385.0,,,,,3.0,,2022-06-28 08:11:26.000,127.0,,,,,,,,,,,,,,,,,,, +440,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-08-14 19:14:28.000000,2023-08-08 22:52:30,15577.0,4.0,359.0,43.0,1594.0,278.0,2942.0,788,An open-source application for biological image analysis.,135.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,848.0,895.0,,,,,,,,3.0,5449.0,2023-08-14 19:14:28.000,1.0,,,,,,,,,,,,,,,,,,, +441,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-08-14 07:33:05.000000,2023-08-14 07:23:47,753.0,23.0,51.0,13.0,110.0,36.0,94.0,778,Visualize large time series data with plotly.py.,11.0,27,True,2023-07-13 11:26:44.000,0.9.1,19.0,plotly-resampler,conda-forge/plotly-resampler,,,,475.0,475.0,https://pypi.org/project/plotly-resampler,471910.0,473267.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,25788.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +442,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-08-13 04:51:14.000000,2023-08-13 04:51:13,1265.0,10.0,119.0,26.0,400.0,10.0,120.0,735,A Comparative Framework for Multimodal Recommender Systems.,17.0,27,True,2023-07-22 18:22:54.000,1.16.0,52.0,cornac,conda-forge/cornac,,,,187.0,171.0,https://pypi.org/project/cornac,96825.0,105161.0,https://anaconda.org/conda-forge/cornac,2023-07-25 03:34:46.928,316784.0,,,,,2.0,,2023-07-22 18:42:55.000,16.0,,,,,,,,,,,,,,,,,,, +443,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-07-17 20:34:35.934000,2023-07-17 15:55:22,3693.0,67.0,66.0,46.0,346.0,20.0,387.0,535,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,27,False,2023-07-17 16:04:04.000,4.0.0,68.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,709.0,1189.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,10095.0,,,,,3.0,13.0,2023-01-19 17:28:00.723,18.0,,,,,,,,,,,,,,,,,,, +444,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-08-11 12:24:42.000000,2023-08-11 12:14:45,506.0,14.0,150.0,31.0,161.0,8.0,91.0,520,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,26.0,27,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],291.0,274.0,https://pypi.org/project/pyriemann,29205.0,29475.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,3787.0,,,,,3.0,,2022-07-17 13:53:18.565,17.0,,,,,,,,,,,,,,,,,,, +445,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-08-17 09:11:45.000000,2023-07-21 01:28:06,1240.0,47.0,148.0,20.0,668.0,23.0,208.0,450,A package built to support working with spatial data using open source python.,43.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,255.0,238.0,https://pypi.org/project/earthpy,4610.0,5898.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,66982.0,,,,,3.0,,2021-10-01 22:51:04.000,17.0,,,,,,,,,,,,,,,,,,, +446,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,227.0,57.0,8.0,206.0,27.0,109.0,450,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,27,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],194.0,189.0,https://pypi.org/project/happytransformer,4531.0,4531.0,,,,,,,,3.0,,2023-08-05 22:54:02.000,5.0,,,,,,,,,,,,,,,,,,, +447,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-06-16 19:18:37.991000,2019-12-05 08:17:22,46.0,,210.0,23.0,16.0,45.0,23.0,423,scikit-learn inspired API for CRFsuite.,6.0,27,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7289.0,7010.0,https://pypi.org/project/sklearn-crfsuite,314799.0,315777.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39140.0,,,,,2.0,,2017-06-22 18:49:27.000,279.0,,,,,,,,,,,,,,,,,,, +448,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-08-09 19:57:44.000000,2023-03-29 01:15:47,1614.0,,800.0,146.0,1554.0,110.0,125.0,7680,Trax Deep Learning with Clear Code and Speed.,78.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,120.0,120.0,https://pypi.org/project/trax,6114.0,6114.0,,,,,,,,3.0,,2021-10-26 20:29:00.538,,,,,,,,,,,,,,,,,,,, +449,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1642.0,462.0,698.0,32.0,441.0,7220,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,26,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,1044.0,1063.0,,,,,,,,2.0,1611.0,2022-02-15 02:05:47.000,40.0,,,,,,,,,,,,,,,,,,, +450,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,,1338.0,346.0,14.0,40.0,65.0,6146,Python library for processing Chinese text.,8.0,26,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1241.0,1199.0,https://pypi.org/project/snownlp,4069.0,4069.0,,,,,,,,3.0,,2015-09-27 16:35:23.000,42.0,,,,,,,,,,,,,,,,,,, +451,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-06-16 19:20:49.106000,2020-05-03 07:13:22,108.0,,583.0,139.0,30.0,57.0,53.0,5435,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,1.0,flashtext,conda-forge/flashtext,,,,1289.0,1289.0,https://pypi.org/project/flashtext,878192.0,878643.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,16718.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +452,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-08-17 11:20:42.000000,2023-06-14 07:01:38,11504.0,56.0,1503.0,143.0,3234.0,775.0,991.0,5155,An Industrial Grade Federated Learning Framework.,92.0,26,True,2023-06-02 10:06:56.000,1.11.2,44.0,ETAF,,,,,,,https://pypi.org/project/ETAF,3.0,3.0,,,,,,,,3.0,,2020-05-06 09:35:40.000,,,,,,,,,,,,,,,,,,,, +453,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,240.0,214.0,51.0,198.0,4227,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,47.0,46.0,https://pypi.org/project/tensortrade,485.0,590.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,2946.0,,,,,3.0,,2021-05-10 18:00:35.000,1.0,,,,,,,,,,,,,,,,,,, +454,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,1.0,548.0,105.0,617.0,89.0,606.0,4077,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],79.0,,https://pypi.org/project/yellowbrick,422110.0,423963.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,66733.0,,,,,3.0,,2022-08-21 16:11:55.287,79.0,,,,,,,,,,,,,,,,,,, +455,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-08-02 23:01:57.000000,2023-04-21 09:54:21,207.0,,299.0,86.0,89.0,43.0,31.0,3375,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-04-21 09:55:18.000,4.0.3,23.0,chartify,conda-forge/chartify,,,,73.0,73.0,https://pypi.org/project/chartify,1963.0,2453.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,27949.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +456,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-08-07 20:52:40.000000,2023-08-07 19:43:13,445.0,8.0,263.0,47.0,434.0,57.0,242.0,3202,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,8659.0,9775.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,32172.0,,,,,2.0,285.0,2020-06-10 22:08:15.000,3.0,,,,,,,,,,,,,,,,,,, +457,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-07-28 03:59:20.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,628.0,102.0,394.0,3050,A high-performance distributed training framework for Reinforcement Learning.,41.0,26,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],116.0,115.0,https://pypi.org/project/parl,511.0,511.0,,,,,,,,2.0,,2022-05-13 04:46:41.000,1.0,,,,,,,,,,,,,,,,,,, +458,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,468.0,101.0,49.0,56.0,253.0,2730,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,26,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,677.0,654.0,https://pypi.org/project/neuralcoref,2862.0,3222.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14722.0,,,,,3.0,759.0,2019-04-08 09:56:00.000,23.0,,,,,,,,,,,,,,,,,,, +459,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-07-14 08:49:11.000000,2023-07-03 11:44:54,1294.0,3.0,313.0,94.0,2150.0,206.0,982.0,2628,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",51.0,26,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,89372.0,89372.0,,,,,,,,3.0,,2022-06-12 11:43:21.000,1.0,,,,,,,,,,,,,,,,,,, +460,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,,706.0,167.0,94.0,134.0,358.0,2434,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,187.0,187.0,,,,,,,,3.0,,2018-11-11 16:46:28.000,2.0,,,,,,,,,,,,,,,,,,, +461,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,4.0,256.0,58.0,56.0,19.0,50.0,2189,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,26,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],574.0,555.0,https://pypi.org/project/pytorch-nlp,8824.0,8824.0,,,,,,,,3.0,,2019-11-04 04:35:18.000,19.0,,,,,,,,,,,,,,,,,,, +462,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-07-27 19:09:07.000000,2023-07-27 19:09:06,413.0,5.0,700.0,91.0,228.0,173.0,90.0,2103,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",66.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,301.0,290.0,https://pypi.org/project/aif360,6510.0,6702.0,https://anaconda.org/conda-forge/aif360,2023-06-16 19:22:49.476,6720.0,,,,,3.0,,2021-03-04 18:11:34.000,11.0,,,,,,,,,,,,,,,,,,, +463,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-06-16 19:27:14.287000,2022-09-28 17:12:28,249.0,,237.0,25.0,315.0,70.0,37.0,2101,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,True,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],648.0,647.0,https://pypi.org/project/lazypredict,27471.0,27569.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2362.0,,,,,2.0,,2022-09-28 08:51:19.531,1.0,,,,,,,,,,,,,,,,,,, +464,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-08-14 21:37:23.000000,2023-08-14 21:37:23,619.0,14.0,226.0,66.0,31.0,54.0,85.0,2067,Fast and Easy Infinite Neural Networks in Python.,26.0,26,True,2023-02-11 00:45:44.000,0.6.2,15.0,neural-tangents,,,,,78.0,78.0,https://pypi.org/project/neural-tangents,1976.0,1984.0,,,,,,,,3.0,320.0,,,,,,,,,,,,,,,,,,,,, +465,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,38.0,42.0,64.0,58.0,2033,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1708.0,1694.0,https://pypi.org/project/efficientnet,51033.0,55960.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,419.0,,,,,3.0,250707.0,2020-09-15 16:26:00.000,14.0,,,,,,,,,,,,,,,,,,, +466,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,28.0,237.0,65.0,58.0,31.0,185.0,1974,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,26,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/ampligraph,515.0,515.0,,,,,,,,2.0,,2021-05-25 16:47:29.000,,,,,,,,,,,,,,,,,,,, +467,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,65.0,129.0,1786,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,318.0,308.0,https://pypi.org/project/hypertools,849.0,849.0,,,,,,,,3.0,30.0,2022-02-12 02:43:24.000,10.0,,,,,,,,,,,,,,,,,,, +468,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,275.0,43.0,494.0,172.0,149.0,1661,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,48.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,139.0,131.0,https://pypi.org/project/petastorm,31163.0,31170.0,,,,,,,,3.0,430.0,2023-02-03 00:33:00.499,8.0,,,,,,,,,,,,,,,,,,, +469,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-07-23 13:25:31.000000,2023-07-22 17:11:01,561.0,6.0,105.0,51.0,431.0,56.0,101.0,1620,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,26,True,2023-07-23 13:25:31.000,1.1.9,26.0,hivemind,,,,,73.0,68.0,https://pypi.org/project/hivemind,9496.0,9496.0,,,,,,,,3.0,,2023-07-23 13:24:10.000,5.0,,,,,,,,,,,,,,,,,,, +470,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-08-17 02:14:45.000000,2023-08-16 02:45:02,627.0,118.0,238.0,51.0,441.0,19.0,61.0,1552,A lightweight library for PyTorch training tools and utilities.,94.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,6179.0,6179.0,,,,,,,,3.0,,2018-07-29 23:16:03.000,38.0,,,,,,,,,,,,,,,,,,, +471,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-06-16 16:17:11.586000,2023-04-20 14:53:46,460.0,,238.0,51.0,48.0,20.0,91.0,1523,Contextually-keyed word vectors.,19.0,26,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,292.0,279.0,https://pypi.org/project/sense2vec,1833.0,3449.0,https://anaconda.org/conda-forge/sense2vec,2023-06-16 16:17:11.586,34278.0,,,,,3.0,56831.0,2021-04-19 07:05:28.000,13.0,,,,,,,,,,,,,,,,,,, +472,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-08-17 11:12:40.000000,2023-08-17 12:12:17,1157.0,50.0,115.0,29.0,66.0,1.0,29.0,1415,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,26,True,2023-05-07 18:50:40.162,0.6.3,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,14916.0,14916.0,,,,,,,,2.0,38.0,2022-06-27 19:59:57.000,7.0,,,,,,,,,,,,,,,,,,, +473,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-08-07 01:26:28.000000,2023-06-07 07:35:59,3033.0,2.0,118.0,38.0,322.0,11.0,186.0,1397,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,249.0,233.0,https://pypi.org/project/pycm,34692.0,34692.0,,,,,,,,3.0,,2022-04-27 15:18:44.000,16.0,,,,,,,,,,,,,,,,,,, +474,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-08-08 13:01:48.000000,2023-08-08 13:01:48,514.0,2.0,396.0,31.0,43.0,13.0,115.0,1279,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,455.0,436.0,https://pypi.org/project/minisom,22067.0,22067.0,,,,,,,,3.0,,2022-02-25 07:49:30.000,19.0,,,,,,,,,,,,,,,,,,, +475,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-06-16 19:24:13.607000,2023-03-22 21:16:11,666.0,,157.0,47.0,161.0,18.0,375.0,1233,moDel Agnostic Language for Exploration and eXplanation.,24.0,26,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,133.0,127.0,https://pypi.org/project/dalex,13373.0,13697.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10051.0,,,,,3.0,,2022-09-07 14:45:39.364,6.0,,,,,,,,,,,,,,,,,,, +476,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-06-16 19:23:39.693000,2022-12-24 01:52:28,204.0,,305.0,49.0,42.0,85.0,112.0,1223,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,26,True,2022-12-24 01:56:46.564,0.9.2,32.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],299.0,294.0,https://pypi.org/project/keras-ocr,10516.0,27992.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,262.0,,,,,3.0,611446.0,2022-12-24 01:56:46.564,5.0,,,,,,,,,,,,,,,,,,, +477,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,35.0,2.0,114.0,1187,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1443.0,1411.0,https://pypi.org/project/fancyimpute,9963.0,9963.0,,,,,,,,2.0,,2021-10-21 17:50:40.000,32.0,,,,,,,,,,,,,,,,,,, +478,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-08-01 02:39:38.000000,2023-08-01 02:37:17,4198.0,2.0,285.0,85.0,637.0,14.0,604.0,1175,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,26,True,2023-08-01 02:38:24.000,23.07,33.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,23011.0,29030.0,https://anaconda.org/conda-forge/pysal,2023-06-16 13:25:31.155,511659.0,,,,,3.0,,2023-08-01 02:39:38.000,36.0,,,,,,,,,,,,,,,,,,, +479,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-06-13 15:44:32.000000,2023-06-13 15:44:32,1102.0,3.0,236.0,39.0,66.0,51.0,203.0,1154,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-05-05 17:27:03.433,2.1.0,6.0,innvestigate,,,,['tensorflow'],108.0,106.0,https://pypi.org/project/innvestigate,737.0,743.0,,,,,,,,3.0,76.0,2023-01-31 17:36:00.641,2.0,,,,,,,,,,,,,,,,,,, +480,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2022-11-06 01:01:06.000000,2022-01-06 15:08:19,1746.0,,173.0,43.0,253.0,59.0,211.0,1124,Python audio and music signal processing library.,20.0,26,False,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,392.0,360.0,https://pypi.org/project/madmom,2878.0,2878.0,,,,,,,,3.0,,2018-11-14 14:56:22.000,32.0,,,,,,,,,,,,,,,,,,, +481,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-07-31 19:32:08.000000,2023-07-31 19:32:05,566.0,3.0,191.0,49.0,61.0,1.0,68.0,971,Training neural models with structured signals.,37.0,26,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],373.0,370.0,https://pypi.org/project/neural-structured-learning,14932.0,14932.0,,,,,,,,3.0,,2022-07-29 21:05:16.715,3.0,,,,,,,,,,,,,,,,,,, +482,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 20:19:05,5777.0,123.0,77.0,14.0,77.0,216.0,218.0,813,"Experiment tracking, ML developer tools.",29.0,26,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,81.0,81.0,https://pypi.org/project/guildai,1117.0,1117.0,,,,,,,,3.0,14.0,2022-05-11 01:13:31.000,,,,,,,,,,,,,,,,,,,, +483,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-07-13 21:06:16.000000,2023-03-06 13:54:05,3661.0,,314.0,69.0,671.0,36.0,516.0,795,The Classical Language Toolkit.,120.0,26,True,2021-06-10 16:34:40.000,1.0.15,66.0,cltk,,,,,245.0,245.0,https://pypi.org/project/cltk,728.0,728.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,,,, +484,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-08-17 14:24:04.000000,2023-08-17 14:24:00,1195.0,268.0,53.0,13.0,291.0,22.0,339.0,772,"Cost-effective LLM development in any cloud (AWS, GCP, Azure, Lambda, etc).",13.0,26,True,2023-08-10 13:07:04.000,0.10.8,134.0,dstack,,,,,11.0,11.0,https://pypi.org/project/dstack,1270.0,1270.0,,,,,,,,3.0,,2023-08-10 12:31:59.000,,,,,,,,,,,,,,,,,,,, +485,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-06-16 13:14:39.735000,2023-06-05 21:59:57,217.0,1.0,50.0,14.0,194.0,9.0,184.0,271,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,26,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,1739530.0,1773412.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2608939.0,,,,,3.0,,2023-04-23 19:42:01.507,259.0,,,,,,,,,,,,,,,,,,, +486,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-08-17 14:09:01.000000,2023-08-17 13:59:32,4035.0,13.0,48.0,14.0,704.0,217.0,202.0,263,Asynchronous Distributed Hyperparameter Optimization.,32.0,26,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,99.0,91.0,https://pypi.org/project/orion,2497.0,2497.0,,,,,,,,2.0,,2022-08-22 17:10:40.826,8.0,,,,,,,,,,,,,,,,,,, +487,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,,606.0,147.0,1362.0,118.0,985.0,7951,Production infrastructure for machine learning at scale.,24.0,25,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,11861.0,11861.0,,,,,,,,2.0,,2022-09-23 17:40:01.770,1.0,,,,,,,,,,,,,,,,,,, +488,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2022-09-22 23:59:19.000000,2022-09-22 23:59:07,1084.0,,979.0,185.0,325.0,334.0,292.0,5740,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,True,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,114.0,111.0,https://pypi.org/project/mmdnn,531.0,584.0,,,,,,,,2.0,3677.0,2020-07-24 06:34:39.000,3.0,,,,,,,,,,,,,,,,,,, +489,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-07-21 01:05:46.000000,2023-07-21 00:58:40,208.0,3.0,282.0,65.0,176.0,19.0,54.0,4793,"A data augmentations library for audio, image, text, and video.",31.0,25,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,78.0,75.0,https://pypi.org/project/augly,2357.0,2357.0,,,,,,,,3.0,,2022-03-28 13:29:26.000,3.0,,,,,,,,,,,,,,,,,,, +490,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-07-31 14:15:16.000000,2023-04-28 16:55:30,521.0,,419.0,60.0,87.0,48.0,86.0,4655,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],60.0,55.0,https://pypi.org/project/imagededup,1672.0,1672.0,,,,,,,,3.0,,2023-04-28 17:29:01.612,5.0,,,,,,,,,,,,,,,,,,, +491,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,,612.0,160.0,130.0,75.0,101.0,4565,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 15:59:35.000,0.3.10,15.0,lucid,,,,['tensorflow'],738.0,738.0,https://pypi.org/project/lucid,649.0,649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +492,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-08-17 12:43:58.000000,2023-08-11 20:36:01,3214.0,97.0,588.0,89.0,3544.0,265.0,1210.0,4565,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,85.0,25,True,2023-07-24 11:29:57.000,1.28.0,68.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +493,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2022-08-23 09:45:09.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,71.0,193.0,115.0,3063,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,134.0,122.0,https://pypi.org/project/xlearn,5341.0,5404.0,,,,,,,,3.0,4139.0,2018-12-04 11:05:06.000,12.0,,,,,,,,,,,,,,,,,,, +494,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-08-12 03:51:14.000000,2023-08-12 03:51:14,4233.0,10.0,516.0,41.0,970.0,126.0,636.0,2783,"A unified, comprehensive and efficient recommendation library.",65.0,25,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2202.0,2310.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,3576.0,,,,,3.0,,2022-02-25 07:32:53.000,2.0,,,,,,,,,,,,,,,,,,, +495,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,215.0,65.0,42.0,17.0,23.0,2638,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,728.0,723.0,https://pypi.org/project/knockknock,44939.0,45232.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13496.0,,,,,3.0,,2020-03-16 14:30:23.000,5.0,,,,,,,,,,,,,,,,,,, +496,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,2.0,299.0,65.0,315.0,38.0,123.0,2588,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],43.0,42.0,https://pypi.org/project/ddsp,2296.0,2672.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14323.0,,,,,3.0,,2022-05-25 17:42:19.000,1.0,,,,,,,,,,,,,,,,,,, +497,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-07-19 07:53:13.000000,2023-07-19 07:40:10,212.0,8.0,126.0,29.0,196.0,19.0,72.0,2527,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,310.0,295.0,https://pypi.org/project/hiplot,22361.0,25993.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,152566.0,,,,,3.0,,2022-07-05 08:51:12.000,15.0,,,,,,,,,,,,,,,,,,, +498,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,,604.0,91.0,29.0,23.0,51.0,2267,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,575.0,397.0,https://pypi.org/project/python_speech_features,103090.0,103090.0,,,,,,,,3.0,,2017-08-16 01:46:13.000,178.0,,,,,,,,,,,,,,,,,,, +499,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-07-06 21:17:27.000000,2023-07-01 21:40:58,1936.0,5.0,308.0,38.0,80.0,13.0,155.0,2177,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,2222.0,2222.0,,,,,,,,2.0,,2022-09-04 16:10:00.738,4.0,,,,,,,,,,,,,,,,,,, +500,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,312.0,66.0,38.0,96.0,160.0,2161,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,25,True,,,,hyperas,,,,['tensorflow'],318.0,318.0,https://pypi.org/project/hyperas,10550.0,10550.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +501,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-06-16 13:23:09.869000,2023-05-06 19:23:59,384.0,,276.0,57.0,14.0,20.0,78.0,2123,Beautiful visualizations of how language differs among document types.,14.0,25,True,2017-03-13 05:31:21.000,0.0.2.4.4,18.0,scattertext,conda-forge/scattertext,,,,417.0,417.0,https://pypi.org/project/scattertext,11333.0,12482.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,82734.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +502,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,234.0,71.0,20.0,92.0,66.0,2042,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,264.0,248.0,https://pypi.org/project/pyflux,87073.0,87073.0,,,,,,,,3.0,,2017-11-21 16:27:06.000,16.0,,,,,,,,,,,,,,,,,,, +503,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-07-27 17:48:45.000000,2023-07-27 17:48:45,753.0,5.0,283.0,28.0,693.0,49.0,141.0,2038,"Toolkit for creating, sharing and using natural language prompts.",63.0,25,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,54.0,53.0,https://pypi.org/project/promptsource,4588.0,4588.0,,,,,,,,3.0,,2022-04-18 22:31:03.000,1.0,,,,,,,,,,,,,,,,,,, +504,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,2.0,84.0,41.0,47.0,11.0,74.0,2008,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,53480.0,53480.0,,,,,,,,3.0,,2022-01-04 16:11:51.000,55.0,,,,,,,,,,,,,,,,,,, +505,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-07-11 19:58:44.000000,2022-08-12 15:43:09,249.0,,191.0,30.0,59.0,35.0,82.0,1936,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,13.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],279.0,272.0,https://pypi.org/project/checklist,3942.0,4141.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6180.0,,,,,3.0,,2021-05-24 16:45:59.000,7.0,,,,,,,,,,,,,,,,,,, +506,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-08-14 19:44:49.000000,2023-05-15 21:21:45,660.0,,189.0,34.0,132.0,6.0,125.0,1900,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,130.0,127.0,https://pypi.org/project/norfair,5165.0,5172.0,,,,,,,,3.0,275.0,2022-05-30 21:14:58.000,3.0,,,,,,,,,,,,,,,,,,, +507,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,294.0,56.0,1313.0,233.0,810.0,1724,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],89.0,87.0,https://pypi.org/project/garage,583.0,583.0,,,,,,,,3.0,,2021-03-23 22:18:36.000,2.0,,,,,,,,,,,,,,,,,,, +508,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-08-12 04:20:17.000000,2022-08-31 09:45:24,594.0,,234.0,56.0,444.0,4.0,401.0,1683,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,25,True,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,4422.0,4524.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,2871.0,,,,,3.0,,2020-09-14 15:23:01.000,3.0,,,,,,,,,,,,,,,,,,, +509,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-08-17 08:42:19.000000,2023-08-11 14:37:30,1324.0,37.0,107.0,30.0,88.0,19.0,20.0,1590,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,25,True,2023-07-24 03:25:41.000,0.4.167,143.0,labml,,,,,102.0,96.0,https://pypi.org/project/labml,4293.0,4293.0,,,,,,,,3.0,,2023-07-24 03:25:41.000,6.0,,,,,,,,,,,,,,,,,,, +510,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-08-16 18:18:12.000000,2023-04-11 16:36:03,155.0,,162.0,97.0,183.0,39.0,24.0,1455,fklearn: Functional Machine Learning.,53.0,25,True,2023-08-16 12:44:32.000,2.4.0,30.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2723.0,2723.0,,,,,,,,3.0,,2023-08-16 12:44:32.000,,,,,,,,,,,,,,,,,,,, +511,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-07-10 07:40:43.547000,2022-12-07 10:32:49,237.0,,256.0,1.0,1.0,1.0,,1431,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-06-08 06:36:00.958,1.6.1,37.0,feature_engine,conda-forge/feature_engine,,,,68.0,,https://pypi.org/project/feature_engine,150968.0,152012.0,https://anaconda.org/conda-forge/feature_engine,2023-07-10 07:40:43.547,37607.0,,,,,3.0,,2022-11-22 11:29:10.203,68.0,,,,,,,,,,,,,,,,,,, +512,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,2.0,248.0,50.0,86.0,21.0,188.0,1391,"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'],438.0,425.0,https://pypi.org/project/gplearn,5030.0,5183.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,5819.0,,,,,3.0,,2022-05-03 10:47:30.000,13.0,,,,,,,,,,,,,,,,,,, +513,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-08-12 10:47:17.000000,2023-08-09 20:23:19,2797.0,3.0,167.0,27.0,646.0,109.0,418.0,1317,A Python library for learning and evaluating knowledge graph embeddings.,36.0,25,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,4180.0,4184.0,,,,,,,,2.0,174.0,2023-02-22 18:29:02.145,5.0,,,,,,,,,,,,,,,,,,, +514,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,,142.0,29.0,63.0,7.0,70.0,1259,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1147.0,1134.0,https://pypi.org/project/livelossplot,16095.0,16095.0,,,,,,,,3.0,,2022-04-04 16:14:08.000,13.0,,,,,,,,,,,,,,,,,,, +515,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-06-16 16:13:35.056000,2022-10-19 11:01:06,75.0,,226.0,20.0,16.0,3.0,86.0,1106,Implementation of the node2vec algorithm.,12.0,25,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,463.0,445.0,https://pypi.org/project/node2vec,127993.0,128410.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26328.0,,,,,2.0,,2022-08-01 11:35:00.616,18.0,,,,,,,,,,,,,,,,,,, +516,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-08-15 12:49:01.000000,2023-08-15 12:48:55,206.0,7.0,76.0,33.0,106.0,12.0,18.0,1071,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],154.0,152.0,https://pypi.org/project/rlax,173090.0,173090.0,,,,,,,,3.0,,2023-01-09 22:29:35.947,2.0,,,,,,,,,,,,,,,,,,, +517,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-07-20 13:12:35.000000,2023-07-18 19:07:12,454.0,2.0,99.0,22.0,301.0,30.0,244.0,1048,Extra blocks for scikit-learn pipelines.,58.0,25,True,2023-07-18 19:07:59.000,0.6.15,41.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],113.0,106.0,https://pypi.org/project/scikit-lego,37066.0,38134.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,41683.0,,,,,3.0,,2023-07-18 19:02:01.000,7.0,,,,,,,,,,,,,,,,,,, +518,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-08-17 08:46:10.000000,2023-08-15 16:05:04,507.0,38.0,156.0,33.0,85.0,16.0,32.0,1014,"A program for financial portfolio management, analysis and optimisation.",11.0,25,True,2023-08-17 08:46:10.000,0.6.2,14.0,FinQuant,,,,,79.0,79.0,https://pypi.org/project/FinQuant,1577.0,1577.0,,,,,,,,3.0,,2023-08-17 08:46:10.000,,,,,,,,,,,,,,,,,,,, +519,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-08-16 14:00:45.000000,2023-08-16 14:00:41,129.0,2.0,104.0,22.0,92.0,33.0,71.0,926,Python 3.6+ toolbox for submitting jobs to Slurm.,23.0,25,True,2022-07-20 17:19:06.753,1.4.5,20.0,submitit,conda-forge/submitit,,,,1483.0,1473.0,https://pypi.org/project/submitit,148578.0,149308.0,https://anaconda.org/conda-forge/submitit,2023-06-16 19:21:24.805,26313.0,,,,,3.0,,2022-07-20 17:19:06.753,10.0,,,,,,,,,,,,,,,,,,, +520,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-08-17 14:46:18.000000,2023-08-16 09:43:01,1686.0,60.0,337.0,56.0,419.0,139.0,238.0,898,Machine learning on FPGAs using HLS.,55.0,25,True,2023-05-13 15:59:00.678,0.7.1,13.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,581.0,768.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6559.0,,,,,2.0,,2021-11-12 12:26:50.000,,,,,,,,,,,,,,,,,,,, +521,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,176.0,39.0,173.0,59.0,173.0,886,A Jupyter - Three.js bridge.,30.0,25,False,2022-08-31 09:02:38.000,2.4.1,18.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],26.0,26.0,https://pypi.org/project/pythreejs,71549.0,81462.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,501348.0,,,,,3.0,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,,,4151.0,,,,,,,,,,,, +522,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,252.0,42.0,72.0,103.0,188.0,886,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,490.0,452.0,https://pypi.org/project/gpyopt,8057.0,8057.0,,,,,,,,2.0,,2020-03-19 11:37:45.000,38.0,,,,,,,,,,,,,,,,,,, +523,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-07-19 11:19:26.000000,2023-07-19 11:19:26,724.0,5.0,140.0,15.0,97.0,29.0,220.0,858,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,25,True,2023-03-22 14:14:00.495,0.6.17,30.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],59.0,,https://pypi.org/project/torch-sparse,26313.0,32301.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,227581.0,,,,,3.0,,2022-12-22 14:51:10.764,59.0,,,,,,,,,,,,,,,,,,, +524,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-06-16 19:27:37.870000,2021-02-11 16:40:18,279.0,,68.0,11.0,47.0,22.0,52.0,640,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,,,,859.0,837.0,https://pypi.org/project/pysbd,118488.0,118678.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4192.0,,,,,3.0,,2021-02-11 16:36:33.000,22.0,,,,,,,,,,,,,,,,,,, +525,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,,72.0,9.0,17.0,11.0,12.0,489,Find pyspark to make it importable.,15.0,25,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],3843.0,3683.0,https://pypi.org/project/findspark,2015468.0,2025299.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,845479.0,,,,,3.0,,2022-02-11 08:02:06.000,160.0,,,,,,,,,,,,,,,,,,, +526,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-07-29 23:53:20.000000,2022-01-15 18:08:37,1718.0,,57.0,13.0,11.0,30.0,5.0,442,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,,,,3681.0,,https://pypi.org/project/whoosh,225041.0,227424.0,https://anaconda.org/conda-forge/whoosh,2023-06-16 13:17:46.809,195407.0,,,,,3.0,,2016-04-04 01:19:40.000,3681.0,,,,,,,,,,,,,,,,,,, +527,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-05-03 06:31:14.000000,2022-12-22 21:34:29,574.0,,84.0,28.0,313.0,75.0,27.0,356,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,25,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],293.0,286.0,https://pypi.org/project/tensorflow-cloud,66983.0,66983.0,,,,,,,,3.0,,2021-06-17 01:15:10.000,7.0,,,,,,,,,,,,,,,,,,, +528,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-06-16 19:18:14.535000,2023-03-05 05:31:37,737.0,,79.0,13.0,28.0,9.0,44.0,320,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,25,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,320.0,300.0,https://pypi.org/project/pymap3d,64138.0,65535.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,57311.0,,,,,3.0,,2023-03-05 05:35:05.094,20.0,,,,,,,,,,,,,,,,,,, +529,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-06-16 19:27:01.157000,,,,3777.0,,,129.0,,22242,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,24,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,18923.0,19008.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2143.0,,,,,3.0,,2020-12-19 10:05:12.000,43.0,-10.0,,,,,,,,,,,,,,,,,, +530,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1070.0,179.0,212.0,16.0,533.0,7818,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,24,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,10.0,10.0,,,208.0,,,,,,,,3.0,6451.0,,,,,,,,,,,,,,,,,,,,, +531,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-08-15 16:56:27.000000,2023-08-15 16:56:21,592.0,4.0,710.0,107.0,579.0,58.0,344.0,5405,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,24,True,2020-04-03 19:06:25.000,0.4.0,1.0,t5,,,,['tensorflow'],,,https://pypi.org/project/t5,137776.0,137776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +532,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-05-28 02:16:35.000000,2023-03-29 07:02:37,553.0,,840.0,124.0,62.0,119.0,74.0,4937,Image augmentation library in Python for machine learning.,23.0,24,True,,,,Augmentor,,,,,634.0,634.0,https://pypi.org/project/Augmentor,10052.0,10052.0,,,,,,,,3.0,,,,-3.0,,,,,,,,,,,,,,,,,, +533,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,,749.0,138.0,43.0,141.0,98.0,4921,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1110.0,1094.0,https://pypi.org/project/textgenrnn,915.0,928.0,,,,,,,,3.0,878.0,2020-02-02 21:16:15.000,16.0,,,,,,,,,,,,,,,,,,, +534,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-05-08 22:33:33.000000,2022-07-29 10:37:24,205.0,,983.0,97.0,61.0,245.0,267.0,4386,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,20696.0,20696.0,,,,,,,,3.0,,2020-01-10 11:36:02.000,28.0,,,,,,,,,,,,,,,,,,, +535,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-06-10 15:03:11.000000,2023-02-19 16:29:00,327.0,,888.0,45.0,28.0,60.0,110.0,4311,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,24,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],142.0,134.0,https://pypi.org/project/scikit-opt,2747.0,2747.0,,,,,,,,3.0,,2022-01-14 08:49:08.000,8.0,,,,,,,,,,,,,,,,,,, +536,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-07-17 20:51:30.000000,2023-03-05 22:07:59,1158.0,,1348.0,351.0,57.0,52.0,,4100,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,187.0,166.0,https://pypi.org/project/pyalgotrade,598.0,598.0,,,,,,,,3.0,,2018-08-21 01:48:25.000,21.0,,,,,,,,,,,,,,,,,,, +537,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,713.0,65.0,247.0,124.0,822.0,3884,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,True,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,5394.0,5394.0,,,,,,,,3.0,,2021-04-06 12:38:10.521,35.0,,,,,,,,,,,,,,,,,,, +538,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,,917.0,176.0,385.0,33.0,430.0,3782,"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'],15.0,15.0,https://pypi.org/project/matchzoo,87.0,87.0,,,,,,,,3.0,,2019-10-24 13:09:11.000,,,,,,,,,,,,,,,,,,,, +539,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,395.0,37.0,49.0,72.0,173.0,3652,An Open-Source Framework for Prompt-Learning.,20.0,24,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,70.0,68.0,https://pypi.org/project/openprompt,2812.0,2812.0,,,,,,,,3.0,,2022-07-06 14:27:42.000,2.0,,,,,,,,,,,,,,,,,,, +540,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-07-17 20:21:08.000000,2023-07-17 20:14:46,1568.0,11.0,491.0,153.0,608.0,69.0,75.0,3428,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",160.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,25.0,25.0,,,,,,,,3.0,,2020-05-27 20:58:01.000,,,,,,,,,,,,,,,,,,,, +541,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2022-12-08 21:21:56.000000,2022-12-08 21:13:23,167.0,,431.0,92.0,78.0,55.0,137.0,3274,Generate embeddings from large-scale graph-structured data.,29.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,310657.0,310660.0,,,,,,,,2.0,163.0,2019-05-01 21:31:13.000,3.0,,,,,,,,,,,,,,,,,,, +542,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-06-16 19:24:31.206000,2022-03-16 17:52:29,715.0,,212.0,55.0,31.0,66.0,120.0,2998,A GUI for Pandas DataFrames.,13.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],281.0,276.0,https://pypi.org/project/pandasgui,3212.0,3847.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,19708.0,,,,,3.0,,2021-08-14 09:14:51.000,5.0,,,,,,,,,,,,,,,,,,, +543,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,72.0,25.0,117.0,101.0,2965,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2821.0,2792.0,https://pypi.org/project/keras-vis,1026.0,1026.0,,,,,,,,3.0,,2017-04-02 03:54:58.000,29.0,,,,,,,,,,,,,,,,,,, +544,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-08-01 20:56:00.000000,2023-07-25 01:15:10,176.0,2.0,353.0,166.0,79.0,87.0,99.0,2961,A deep learning library for video understanding research.,54.0,24,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,36801.0,36801.0,,,,,,,,3.0,,2022-01-20 00:16:35.000,7.0,,,,,,,,,,,,,,,,,,, +545,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-08-11 21:56:51.000000,2023-02-28 07:05:02,2087.0,,673.0,164.0,60.0,7.0,633.0,2877,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,24,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,897.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,55589.0,,,,,3.0,4674.0,,,,,,,,,,,,,,,,,,,,, +546,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-18 16:45:36.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,480.0,45.0,70.0,2597,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,24,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,150.0,147.0,https://pypi.org/project/m2cgen,15798.0,15799.0,,,,,,,,3.0,54.0,2022-04-26 01:24:34.000,3.0,,,,,,,,,,,,,,,,,,, +547,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-07-13 15:17:55.000000,2023-07-05 16:58:10,934.0,5.0,159.0,19.0,72.0,84.0,162.0,2597,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,29.0,28.0,https://pypi.org/project/ffcv,718.0,718.0,,,,,,,,3.0,,2022-01-28 20:40:22.000,1.0,,,,,,,,,,,,,,,,,,, +548,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-07-06 00:49:19.000000,2023-07-06 00:49:11,3451.0,4.0,727.0,108.0,3868.0,533.0,855.0,2577,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,24,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,1019.0,1019.0,,,,,,,,3.0,,2022-07-07 07:51:54.000,1.0,,,,,,,,,,,,,,,,,,, +549,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,326.0,79.0,54.0,151.0,68.0,2194,Multilingual text (NLP) processing toolkit.,26.0,24,False,,,,polyglot,,,,,1068.0,1068.0,https://pypi.org/project/polyglot,78499.0,78499.0,,,,,,,,3.0,,,,-3.0,,,,,,,,,,,,,,,,,, +550,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,291.0,66.0,14.0,26.0,46.0,2119,Stand-alone language identification system.,9.0,24,False,,,,langid,,,,,6885.0,6885.0,https://pypi.org/project/langid,354570.0,354570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +551,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-08-17 07:56:55.000000,2023-06-01 12:18:23,739.0,2.0,313.0,42.0,41.0,92.0,55.0,1995,A modular active learning framework for Python.,20.0,24,True,2023-08-17 07:56:55.000,0.50.3052,134.0,modAL,,,,['sklearn'],14.0,13.0,https://pypi.org/project/modAL,17168.0,17168.0,,,,,,,,3.0,26.0,2023-08-17 07:56:55.000,1.0,,,,,,,,,,,,,,,,,,, +552,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,230.0,45.0,33.0,48.0,90.0,1839,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],142.0,142.0,https://pypi.org/project/torchmeta,3244.0,3244.0,,,,,,,,3.0,,2021-09-20 16:06:33.000,,,,,,,,,,,,,,,,,,,, +553,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2023-06-16 16:11:52.180000,2023-05-26 18:23:37,117.0,2.0,228.0,44.0,36.0,45.0,21.0,1795,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,24,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],416.0,394.0,https://pypi.org/project/MulticoreTSNE,29463.0,29934.0,https://anaconda.org/conda-forge/multicore-tsne,2023-06-16 16:11:52.180,26898.0,,,,,3.0,,2019-01-09 07:23:04.000,22.0,,,,,,,,,,,,,,,,,,, +554,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-06-18 08:40:35.691000,2023-01-29 22:01:19,871.0,,124.0,34.0,406.0,64.0,325.0,1692,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,32.0,31.0,https://pypi.org/project/orbit-ml,120632.0,120845.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4050.0,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +555,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,113.0,39.0,11.0,32.0,51.0,1600,"A fast, efficient universal vector embedding utility package.",4.0,24,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,324.0,311.0,https://pypi.org/project/pymagnitude,3540.0,3540.0,,,,,,,,3.0,,2020-05-25 11:26:36.000,13.0,,,,,,,,,,,,,,,,,,, +556,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,182.0,9.0,389.0,1593,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,True,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],172.0,165.0,https://pypi.org/project/talos,1163.0,1163.0,,,,,,,,2.0,,2022-05-28 10:07:34.000,7.0,,,,,,,,,,,,,,,,,,, +557,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-07-20 16:32:55.000000,2023-07-20 16:32:55,1068.0,27.0,245.0,33.0,34.0,22.0,163.0,1569,A library for graph deep learning research.,47.0,24,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,334.0,334.0,,,,,,,,2.0,,2015-08-23 10:30:20.000,8.0,,,,,,,,,,,,,,,,,,, +558,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,,284.0,46.0,801.0,69.0,485.0,1544,jiant is an nlp toolkit.,60.0,24,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,223.0,223.0,,,,,,,,3.0,,2021-05-10 18:56:39.000,,,,,,,,,,,,,,,,,,,, +559,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,407.0,91.0,165.0,103.0,224.0,1337,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,91.0,91.0,,,,,,,,3.0,,2019-10-10 10:59:33.000,1.0,,,,,,,,,,,,,,,,,,, +560,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-05-09 08:45:29.000000,2023-02-08 02:25:50,604.0,,200.0,53.0,455.0,139.0,291.0,1145,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,307.0,307.0,,,,,,,,3.0,,2022-11-16 09:12:55.841,9.0,,,,,,,,,,,,,,,,,,, +561,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-08-06 17:00:08.000000,2023-08-06 17:00:07,686.0,40.0,167.0,18.0,231.0,64.0,91.0,1134,Generate Diverse Counterfactual Explanations for any machine learning model.,18.0,24,True,2023-06-26 15:48:01.000,0.10,11.0,dice-ml,,,,"['tensorflow', 'pytorch']",5.0,,https://pypi.org/project/dice-ml,71675.0,71675.0,,,,,,,,3.0,,2022-06-02 13:40:03.000,5.0,,,,,,,,,,,,,,,,,,, +562,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,,223.0,73.0,415.0,75.0,147.0,1123,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,163.0,153.0,https://pypi.org/project/chainerrl,379.0,379.0,,,,,,,,3.0,,2020-02-14 05:35:56.000,10.0,,,,,,,,,,,,,,,,,,, +563,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,,171.0,48.0,111.0,51.0,170.0,943,Python interface to GPU-powered libraries.,43.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,310.0,261.0,https://pypi.org/project/scikit-cuda,620.0,620.0,,,,,,,,3.0,,2019-05-27 00:29:00.000,49.0,,,,,,,,,,,,,,,,,,, +564,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-08-17 00:02:30.000000,2023-08-16 20:00:36,1689.0,388.0,71.0,18.0,555.0,62.0,107.0,943,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,24,False,2023-08-07 21:05:46.000,0.200.0,47.0,metricflow,,,,,11.0,8.0,https://pypi.org/project/metricflow,3938.0,3938.0,,,,,,,,3.0,,2023-08-03 05:13:51.000,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,, +565,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107.0,26.0,36.0,34.0,69.0,860,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],515.0,503.0,https://pypi.org/project/pandas-bokeh,25820.0,25820.0,,,,,,,,3.0,,2021-04-11 17:43:13.000,12.0,,,,,,,,,,,,,,,,,,, +566,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,146.0,25.0,154.0,73.0,137.0,754,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,6294.0,11511.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,306723.0,,,,,3.0,,2019-07-21 08:49:39.000,44.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,2.0,1128.0,,,,,,,,,,,, +567,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,160.0,33.0,25.0,33.0,235.0,744,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,164.0,152.0,https://pypi.org/project/neupy,1532.0,1532.0,,,,,,,,3.0,,2019-04-04 19:43:06.000,12.0,,,,,,,,,,,,,,,,,,, +568,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-08-17 10:03:37.000000,2023-08-07 13:08:34,873.0,618.0,29.0,10.0,166.0,14.0,24.0,643,"Fastest search engine in a single file - supporting C++ 11, C 99, Python 3, JavaScript, Rust, Java, GoLang,..",16.0,24,True,2023-08-07 13:09:25.427,1.1.1,58.0,usearch,,unum/usearch,,,7.0,7.0,https://pypi.org/project/usearch,7479.0,9216.0,,,,https://hub.docker.com/r/unum/usearch,2023-08-07 13:09:43.294813,1.0,2.0,3.0,59.0,2023-08-07 13:57:55.000,,,,usearch,https://www.npmjs.com/package/usearch,2023-08-07 13:09:25.427,,1718.0,,,,,,,,,,,, +569,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-08-17 05:15:42.000000,2023-08-17 04:56:31,418.0,418.0,21.0,7.0,15.0,74.0,43.0,582,"lightweight package to simplify LLM API calls - Azure, OpenAI, Cohere, Anthropic, Replicate. Manages input/output..",3.0,24,True,2023-08-16 19:49:34.000,0.1.405,97.0,litellm,,,,others,18.0,17.0,https://pypi.org/project/litellm,8402.0,8402.0,,,,,,,,3.0,,2023-08-17 05:15:42.000,1.0,3.0,,,,,,,,,,,,,,,,,, +570,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-04-07 19:10:09.000000,2023-03-24 08:30:46,549.0,,93.0,19.0,183.0,93.0,131.0,577,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,24,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,1457076.0,1457213.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,15668.0,2023-02-15 15:39:00.786,169.0,,,,,,,,,,,,,,,,,,, +571,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,50.0,35.0,14.0,222.0,15.0,40.0,469,Monitor the stability of a Pandas or Spark dataframe.,17.0,24,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,8630.0,8633.0,,,,,,,,3.0,117.0,2023-07-18 10:32:00.587,2.0,,,,,,,,,,,,,,,,,,, +572,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-08-16 22:50:24.000000,2023-08-11 20:37:04,928.0,10.0,158.0,25.0,794.0,82.0,371.0,446,MONAI Label is an intelligent open source image labeling and learning tool.,49.0,24,True,2023-06-10 01:10:23.000,0.7.0,107.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,624.0,3009.0,,,,,,,,3.0,59641.0,2023-08-13 02:18:01.000,,,,,,,,,,,,,,,,,,,, +573,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-07-16 11:29:31.000000,2023-07-16 11:29:26,153.0,7.0,45.0,17.0,2.0,9.0,3.0,352,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,24,True,2023-07-16 11:35:00.418,0.0.9,10.0,suod,,,,,488.0,486.0,https://pypi.org/project/suod,78769.0,78769.0,,,,,,,,3.0,,2021-10-01 18:05:35.000,2.0,,,,,,,,,,,,,,,,,,, +574,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-06-16 13:21:17.395000,2023-04-05 19:40:24,6447.0,,132.0,37.0,349.0,45.0,113.0,348,Neuroimaging in Python FMRI analysis package.,66.0,24,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,50.0,,https://pypi.org/project/nipy,1460.0,2902.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105274.0,,,,,3.0,,2021-03-29 16:34:34.000,50.0,,,,,,,,,,,,,,,,,,, +575,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-08-02 20:38:12.000000,2023-08-02 20:38:11,503.0,6.0,52.0,40.0,247.0,16.0,59.0,290,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-03-02 11:48:00.895,1.2.2,69.0,gokart,,,,,75.0,70.0,https://pypi.org/project/gokart,2125.0,2125.0,,,,,,,,3.0,,2022-11-01 06:28:00.638,5.0,,,,,,,,,,,,,,,,,,, +576,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-06-18 08:40:31.986000,2023-02-15 20:15:59,196.0,,474.0,80.0,36.0,51.0,26.0,9907,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,23,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,32.0,32.0,https://pypi.org/project/prettymaps,3434.0,3536.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,1939.0,,,,,3.0,,2021-10-19 13:33:43.000,,,,,,,,,,,,,,,,,,,, +577,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-08-10 18:27:37.000000,2023-06-18 10:37:26,755.0,6.0,645.0,99.0,150.0,94.0,103.0,8263,The next-generation platform to monitor and optimize your AI costs in one place.,39.0,23,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,573.0,573.0,,,,,,,,3.0,,2023-06-18 11:03:00.511,2.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,, +578,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-07-06 21:44:47.000000,2020-06-03 05:58:03,146.0,,1379.0,264.0,67.0,115.0,132.0,6105,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,13.0,10.0,https://pypi.org/project/PyDejavu,99.0,99.0,,,,,,,,3.0,,2015-04-19 21:20:16.000,3.0,,,,,,,,,,,,,,,,,,, +579,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-08-11 20:26:10.000000,2023-07-11 06:18:50,1090.0,2.0,882.0,117.0,674.0,238.0,540.0,5289,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,115.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,295.0,295.0,,,,,,,,3.0,,2020-06-12 22:15:02.000,1.0,,,,,,,,,,,,,,,,,,, +580,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273.0,307.0,204.0,67.0,205.0,4466,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,True,,,,,,shadowreaver/crypto-signal,,,,,,,2013.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,142956.0,3.0,,,,,,,,,,,,,,,,,,,,,, +581,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-08-16 21:05:26.000000,2023-08-11 13:10:00,1487.0,62.0,770.0,144.0,1373.0,308.0,392.0,4364,Simple and Distributed Machine Learning.,112.0,23,True,2023-07-10 22:45:30.000,0.11.2,31.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,1.0,1.0,,,,,,,,3.0,,2020-03-18 01:27:31.000,,,,,,,,,,,,,,,,,,,, +582,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,336.0,89.0,91.0,306.0,3866,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,79.0,103.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1767.0,,,,,3.0,365.0,2018-01-05 23:25:04.000,1.0,,,,,,,,,,,,,,,,,,, +583,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,507.0,139.0,649.0,65.0,197.0,3825,Snips Python library to extract meaning from text.,22.0,23,False,2020-01-15 09:51:41.000,0.20.2,58.0,snips-nlu,,,,,,,https://pypi.org/project/snips-nlu,1464.0,1464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +584,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,529.0,175.0,49.0,64.0,49.0,3458,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],56.0,53.0,https://pypi.org/project/adanet,110.0,110.0,,,,,,,,2.0,,2020-07-09 21:03:28.000,3.0,,,,,,,,,,,,,,,,,,, +585,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,6.0,538.0,146.0,237.0,33.0,631.0,3242,Tensorforce: a TensorFlow library for applied reinforcement learning.,83.0,23,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorforce,615.0,615.0,,,,,,,,3.0,,2021-08-30 20:13:45.000,2.0,-3.0,,,,,,,,,,,,,,,,,, +586,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-08-17 14:13:25.000000,2022-12-02 19:48:37,904.0,,334.0,71.0,1165.0,88.0,76.0,3178,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,27.0,23,True,2022-12-02 03:32:59.000,0.5,8.0,lit-nlp,conda-forge/lit-nlp,,,,21.0,20.0,https://pypi.org/project/lit-nlp,851.0,2663.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,63446.0,,,,,3.0,,2022-12-02 03:31:01.152,1.0,,,,,,,,,,,,,,,,,,, +587,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-07-27 22:24:12.000000,2023-07-27 22:17:12,404.0,3.0,314.0,55.0,412.0,79.0,106.0,3094,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],25.0,24.0,https://pypi.org/project/vissl,244.0,244.0,,,,,,,,3.0,,2021-11-02 15:36:07.000,1.0,,,,,,,,,,,,,,,,,,, +588,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-06-23 11:41:33.000000,2022-10-28 22:04:55,271.0,,231.0,44.0,108.0,80.0,64.0,2765,"Text preprocessing, representation and visualization from zero to hero.",20.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,15073.0,15075.0,,,,,,,,3.0,117.0,2021-07-01 17:11:02.000,6.0,,,,,,,,,,,,,,,,,,, +589,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-08-15 02:13:08.000000,2023-06-30 11:01:43,105.0,1.0,250.0,50.0,17.0,46.0,74.0,2515,"Visualize and compare datasets, target values and associations, with one line of code.",7.0,23,True,2022-06-14 21:52:54.000,2.1.4,32.0,sweetviz,conda-forge/sweetviz,,,,10.0,,https://pypi.org/project/sweetviz,66519.0,67320.0,https://anaconda.org/conda-forge/sweetviz,2023-06-16 19:24:35.489,24032.0,,,,,3.0,,2022-06-14 21:46:56.000,10.0,,,,,,,,,,,,,,,,,,, +590,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,,438.0,65.0,122.0,27.0,349.0,2363,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],62.0,62.0,https://pypi.org/project/kashgari-tf,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +591,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,,303.0,67.0,78.0,62.0,68.0,2090,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'],23.0,20.0,https://pypi.org/project/sru,3034.0,3034.0,,,,,,,,3.0,,2021-06-17 23:33:37.000,3.0,,,,,,,,,,,,,,,,,,, +592,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-08-17 00:45:52.000000,2023-08-16 23:07:32,523.0,1.0,174.0,36.0,106.0,54.0,125.0,1967,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,23.0,23,True,2023-08-16 00:45:50.000,2023.8.16,642.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,6039.0,6039.0,,,,,,,,3.0,,2023-08-17 00:45:52.000,,,,,,,,,,,,,,,,,,,, +593,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,628.0,82.0,48.0,24.0,64.0,1940,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,407.0,395.0,https://pypi.org/project/finta,6630.0,6630.0,,,,,,,,3.0,,2020-10-21 11:39:44.000,12.0,,,,,,,,,,,,,,,,,,, +594,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:26.000000,2023-07-27 13:04:12,336.0,8.0,337.0,42.0,68.0,159.0,95.0,1806,Super easy library for BERT based NLP models.,36.0,23,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,1731.0,1731.0,,,,,,,,3.0,,2023-07-27 13:04:26.000,2.0,,,,,,,,,,,,,,,,,,, +595,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,3.0,97.0,37.0,27.0,22.0,78.0,1733,"A flexible, intuitive and fast forecasting library.",9.0,23,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,20.0,20.0,https://pypi.org/project/greykite,15502.0,15502.0,,,,,,,,3.0,4.0,2022-07-15 21:40:53.479,,,,,,,,,,,,,,,,,,,, +596,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-29 22:06:26.764000,2023-01-29 22:01:19,871.0,,124.0,34.0,406.0,64.0,325.0,1692,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,32.0,31.0,https://pypi.org/project/orbit-ml,120632.0,120632.0,,,,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +597,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,39.0,111.0,54.0,42.0,1667,"Large-scale linear classification, regression and ranking in Python.",17.0,23,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],137.0,130.0,https://pypi.org/project/sklearn-contrib-lightning,1068.0,3435.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,200010.0,,,,,3.0,385.0,2022-01-30 00:43:43.000,7.0,,,,,,,,,,,,,,,,,,, +598,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,,274.0,75.0,728.0,13.0,64.0,1559,An end-to-end PyTorch framework for image and video classification.,77.0,23,True,2023-03-21 05:24:19.000,0.7.0,7.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2095.0,2519.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +599,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,114.0,28.0,31.0,58.0,50.0,1545,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],304.0,299.0,https://pypi.org/project/higher,37463.0,37463.0,,,,,,,,3.0,,2020-07-14 12:20:32.000,5.0,,,,,,,,,,,,,,,,,,, +600,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,204.0,46.0,12.0,4.0,51.0,1540,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],192.0,190.0,https://pypi.org/project/geffnet,6138.0,6138.0,,,,,,,,3.0,,2021-07-08 19:05:05.000,2.0,,,,,,,,,,,,,,,,,,, +601,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-08-12 22:40:29.000000,2023-08-12 21:52:04,339.0,1.0,281.0,40.0,251.0,64.0,189.0,1330,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],31.0,30.0,https://pypi.org/project/crypten,273.0,273.0,,,,,,,,3.0,,2022-12-08 22:11:59.883,1.0,,,,,,,,,,,,,,,,,,, +602,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160.0,32.0,22.0,42.0,34.0,1244,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],59.0,58.0,https://pypi.org/project/sklearn-porter,322.0,322.0,,,,,,,,3.0,,2019-12-18 13:39:19.000,1.0,,,,,,,,,,,,,,,,,,, +603,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-08-15 22:11:55.000000,2023-08-15 22:07:22,180.0,15.0,102.0,37.0,23.0,15.0,107.0,1069,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,23,True,2023-08-15 22:53:07.000,2.1.2,75.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,10960.0,10960.0,,,,,,,,3.0,,2022-09-21 23:07:01.601,8.0,,,,,,,,,,,,,,,,,,, +604,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,10.0,140.0,96.0,117.0,33.0,45.0,1057,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,89.0,88.0,https://pypi.org/project/pfrl,415.0,415.0,,,,,,,,3.0,,2023-07-16 15:34:00.704,1.0,,,,,,,,,,,,,,,,,,, +605,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-08-08 04:48:48.000000,2023-08-08 04:48:48,405.0,4.0,183.0,34.0,71.0,2.0,86.0,1026,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000,4.5.0,10.0,keract,,,,['tensorflow'],189.0,189.0,https://pypi.org/project/keract,7005.0,7005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +606,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,102.0,12.0,18.0,13.0,15.0,990,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4016.0,3765.0,https://pypi.org/project/gputil,258369.0,258369.0,,,,,,,,3.0,,2018-12-18 09:12:13.000,251.0,,,,,,,,,,,,,,,,,,, +607,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,282.0,95.0,120.0,62.0,94.0,936,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,23,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],35.0,,https://pypi.org/project/astroML,1101.0,1657.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,40038.0,,,,,3.0,,2022-03-01 20:02:01.000,35.0,,,,,,,,,,,,,,,,,,, +608,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-06-16 19:27:19.938000,2023-03-29 07:39:45,85.0,,75.0,26.0,53.0,30.0,27.0,893,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,498.0,498.0,https://pypi.org/project/youtokentome,33794.0,35334.0,https://anaconda.org/conda-forge/youtokentome,2023-06-16 19:27:19.938,35437.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +609,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,,2016-08-17 10:58:05.000,2023-08-16 09:15:08.000000,2023-08-01 13:02:51,2070.0,3.0,194.0,43.0,576.0,67.0,424.0,891,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,23,False,2023-08-01 13:38:54.000,2.0.2,42.0,smac,conda-forge/smac,,,,,,https://pypi.org/project/smac,29564.0,30111.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,15873.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +610,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-06-16 23:48:25.000000,2022-12-07 13:45:45,1234.0,,135.0,25.0,593.0,62.0,510.0,832,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,5987.0,5987.0,,,,,,,,3.0,,2022-02-10 15:55:46.374,6.0,,,,,,,,,,,,,,,,,,, +611,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2023-06-16 19:20:28.498000,2023-04-27 23:44:02,329.0,,151.0,29.0,104.0,80.0,56.0,828,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,5.0,,https://pypi.org/project/witwidget,9577.0,62668.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,1986803.0,,,,,3.0,,2021-10-12 17:42:30.000,4.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,1.0,807.0,,,,,,,,,,,, +612,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-07-22 23:47:09.000000,2023-07-17 14:48:33,209.0,8.0,80.0,20.0,147.0,25.0,78.0,770,Library to enable Bayesian active learning in your research or labeling work.,21.0,23,True,2023-07-13 22:05:31.243,1.8.0,17.0,baal,conda-forge/baal,,,,52.0,51.0,https://pypi.org/project/baal,1188.0,1404.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,6715.0,,,,,3.0,,2022-05-03 12:50:00.000,1.0,,,,,,,,,,,,,,,,,,, +613,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-08-17 13:49:13.000000,2023-03-02 14:58:53,291.0,,117.0,20.0,71.0,19.0,59.0,713,An intuitive library to extract features from time series.,17.0,23,True,2023-03-02 15:05:51.000,0.1.5,9.0,tsfel,,,,,92.0,92.0,https://pypi.org/project/tsfel,23844.0,23844.0,,,,,,,,3.0,,2021-02-14 17:40:32.000,,,,,,,,,,,,,,,,,,,, +614,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,80.0,21.0,12.0,,38.0,675,Python package for stacking (machine learning technique).,1.0,23,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,335.0,329.0,https://pypi.org/project/vecstack,15757.0,15819.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1678.0,,,,,3.0,,2019-08-12 16:01:22.000,6.0,,,,,,,,,,,,,,,,,,, +615,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-07-10 19:01:34.000000,2023-07-10 19:01:34,397.0,1.0,155.0,17.0,72.0,35.0,105.0,649,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,167.0,143.0,https://pypi.org/project/python-ternary,36663.0,37539.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,77174.0,,,,,3.0,25.0,2021-02-17 18:38:15.000,24.0,,,,,,,,,,,,,,,,,,, +616,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,120.0,91.0,43.0,67.0,638,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],182.0,167.0,https://pypi.org/project/mapboxgl,12893.0,12893.0,,,,,,,,3.0,,2019-06-02 16:02:54.380,15.0,,,,,,,,,,,,,,,,,,, +617,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-08-01 17:58:07.000000,2023-07-31 17:58:49,335.0,23.0,111.0,19.0,75.0,23.0,32.0,632,Working with molecular structures in pandas DataFrames.,13.0,23,True,2022-05-13 14:32:21.000,0.4.1,18.0,biopandas,conda-forge/biopandas,,,['pandas'],213.0,195.0,https://pypi.org/project/biopandas,5267.0,7056.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,143152.0,,,,,3.0,,2022-05-13 14:32:21.000,18.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,, +618,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,112.0,27.0,23.0,57.0,35.0,584,a distributed Hyperband implementation on Steroids.,11.0,23,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,396.0,374.0,https://pypi.org/project/hpbandster,32464.0,32847.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,12275.0,,,,,2.0,,2018-11-06 12:56:55.000,22.0,,,,,,,,,,,,,,,,,,, +619,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-08-16 21:04:30.000000,2023-08-16 21:02:43,473.0,41.0,86.0,30.0,535.0,197.0,240.0,573,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",31.0,23,True,2023-06-22 16:11:32.190,23.6.0,15.0,merlin-core,,,,,,,https://pypi.org/project/merlin-core,2190.0,2190.0,,,,,,,,3.0,,2023-01-02 17:36:18.094,,,,,,,,,,,,,,,,,,,, +620,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-08-17 12:37:40.000000,2023-08-17 11:24:06,807.0,23.0,76.0,10.0,650.0,91.0,382.0,548,Automated modeling and machine learning framework FEDOT.,28.0,23,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,41.0,40.0,https://pypi.org/project/fedot,887.0,887.0,,,,,,,,2.0,,2023-07-25 13:17:29.000,1.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,, +621,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-06-30 02:33:24.000000,2023-06-30 02:33:23,460.0,2.0,47.0,8.0,49.0,149.0,218.0,532,python binding for libvips using cffi.,16.0,23,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,617.0,571.0,https://pypi.org/project/pyvips,54608.0,55956.0,https://anaconda.org/conda-forge/pyvips,2023-06-16 16:16:45.970,64706.0,,,,,3.0,,2022-06-12 09:54:07.000,46.0,,,,,,,,,,,,,,,,,,, +622,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-06-16 19:26:34.899000,2022-11-17 11:12:46,327.0,,128.0,19.0,32.0,13.0,70.0,495,Medical image processing in Python.,16.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1402.0,1358.0,https://pypi.org/project/MedPy,21526.0,22244.0,https://anaconda.org/conda-forge/medpy,2023-06-16 19:26:34.899,18670.0,,,,,3.0,,2019-02-14 17:12:59.000,44.0,,,,,,,,,,,,,,,,,,, +623,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-05-15 20:54:09.000000,2023-05-08 16:18:21,133.0,,67.0,22.0,48.0,35.0,30.0,495,pyspark methods to enhance developer productivity.,16.0,23,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],74.0,68.0,https://pypi.org/project/quinn,811285.0,811285.0,,,,,,,,3.0,8.0,2023-02-17 21:54:00.812,6.0,,,,,,,,,,,,,,,,,,, +624,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 12:04:59,273.0,11.0,79.0,20.0,247.0,10.0,23.0,384,A toolkit that streamlines and automates the generation of model cards.,22.0,23,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,20.0,19.0,https://pypi.org/project/model-card-toolkit,1293.0,1293.0,,,,,,,,3.0,8.0,2022-04-28 16:34:21.000,1.0,,,,,,,,,,,,,,,,,,, +625,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-06-16 19:17:42.495000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,3.0,12.0,225,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,859.0,814.0,https://pypi.org/project/py3nvml,105035.0,106223.0,https://anaconda.org/conda-forge/py3nvml,2023-06-16 19:17:42.495,51114.0,,,,,3.0,,2021-11-22 14:30:25.000,45.0,,,,,,,,,,,,,,,,,,, +626,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-06-01 07:36:32.000000,2023-02-07 10:12:31,47.0,,2012.0,149.0,85.0,220.0,284.0,11523,End-to-End Object Detection with Transformers.,26.0,22,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],10.0,10.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +627,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,795.0,170.0,1588.0,61.0,74.0,6357,A natural language modeling framework based on PyTorch.,234.0,22,False,2020-06-08 23:30:58.000,0.3.3,9.0,pytext-nlp,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pytext-nlp,107.0,113.0,,,,,,,,3.0,346.0,,,,,,,,,,,,,,,,,,,,, +628,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,7.0,122.0,5280,Build Graph Nets in Tensorflow.,11.0,22,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],18.0,10.0,https://pypi.org/project/graph-nets,1456.0,1456.0,,,,,,,,3.0,,2020-01-29 16:00:25.000,8.0,,,,,,,,,,,,,,,,,,, +629,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,803.0,234.0,109.0,53.0,619.0,4804,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,24.0,,,,,,,,3.0,1499.0,,,,,,,,,,,,,,,,,,,,, +630,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,,325.0,76.0,37.0,95.0,73.0,4394,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,317.0,317.0,,,,,,,,3.0,,2022-03-13 19:09:50.000,,,,,,,,,,,,,,,,,,,, +631,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,691.0,103.0,32.0,99.0,112.0,4274,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,22,False,2020-01-08 15:35:45.000,2.2.0,1.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],114.0,114.0,https://pypi.org/project/ISR,5099.0,5103.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,228.0,3.0,,,,,,,,,,,,,,,,,,,,,, +632,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-08-06 22:31:15.000000,2023-01-15 11:37:16,279.0,,763.0,102.0,87.0,106.0,342.0,3962,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,10320.0,10320.0,,,,,,,,3.0,,2021-12-13 01:36:44.000,2.0,,,,,,,,,,,,,,,,,,, +633,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3324,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,4025.0,4034.0,,,,,,,,3.0,519.0,2021-10-18 01:47:20.000,7.0,,,,,,,,,,,,,,,,,,, +634,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482.0,217.0,16.0,24.0,4.0,3162,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,180.0,180.0,,,,,,,,3.0,47.0,2021-10-07 14:58:03.000,,,,,,,,,,,,,,,,,,,, +635,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,379.0,208.0,9.0,6.0,16.0,3142,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],131.0,128.0,https://pypi.org/project/trfl,1748.0,1748.0,,,,,,,,3.0,,2021-08-16 12:19:16.000,3.0,,,,,,,,,,,,,,,,,,, +636,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,,401.0,130.0,136.0,52.0,128.0,2401,Deep Learning toolkit for Computer Vision.,15.0,22,False,,,10.0,luminoth,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/luminoth,1293.0,1474.0,,,,,,,,3.0,12690.0,,,,,,,,,,,,,,,,,,,,, +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,,381.0,80.0,144.0,36.0,126.0,2364,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,45.0,45.0,,,,,,,,3.0,,2019-11-19 04:11:18.000,2.0,,,,,,,,,,,,,,,,,,, +638,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-06-12 21:55:06.000000,2023-06-12 19:01:21,105.0,1.0,230.0,62.0,105.0,24.0,56.0,2075,"Codebase for Image Classification Research, written in PyTorch.",18.0,22,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pycls,306735.0,306735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +639,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-08-11 12:07:42.000000,2023-07-01 21:39:32,2288.0,1.0,229.0,41.0,35.0,4.0,109.0,1954,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,22,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,186.0,182.0,https://pypi.org/project/karateclub,5828.0,6373.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,20179.0,,,,,3.0,,2022-10-22 16:17:27.886,4.0,,,,,,,,,,,,,,,,,,, +640,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,13.0,57.0,35.0,1722,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",222.0,211.0,https://pypi.org/project/hiddenlayer,1262.0,1262.0,,,,,,,,3.0,,2020-04-24 07:32:11.000,11.0,,,,,,,,,,,,,,,,,,, +641,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,,311.0,98.0,45.0,187.0,216.0,1623,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,413.0,413.0,,,,,,,,3.0,42.0,2018-02-22 01:13:03.000,7.0,,,,,,,,,,,,,,,,,,, +642,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,270.0,67.0,51.0,23.0,74.0,1438,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,33.0,33.0,https://pypi.org/project/mlbox,435.0,435.0,,,,,,,,3.0,,2020-08-25 09:32:37.000,,,,,,,,,,,,,,,,,,,, +643,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,77.0,39.0,14.0,12.0,26.0,1208,A Graph Neural Network Library in Jax.,17.0,22,True,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],96.0,90.0,https://pypi.org/project/jraph,8064.0,8215.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3322.0,,,,,3.0,,2022-08-12 15:25:29.659,6.0,,,,,,,,,,,,,,,,,,, +644,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-05-29 19:09:18.000000,2022-05-29 19:09:18,309.0,,184.0,29.0,56.0,20.0,35.0,1196,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],128.0,123.0,https://pypi.org/project/advertorch,393.0,393.0,,,,,,,,3.0,,2020-06-15 01:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +645,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-08-15 18:22:55.000000,2023-08-10 16:44:57,829.0,1.0,302.0,52.0,788.0,1.0,298.0,1186,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,59.0,22,True,2023-03-03 07:44:13.000,3.1.34,76.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,618.0,618.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,, +646,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,217.0,66.0,29.0,31.0,12.0,1116,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,90.0,75.0,https://pypi.org/project/luminol,11593.0,11593.0,,,,,,,,3.0,,2017-12-11 06:04:15.000,15.0,,,,,,,,,,,,,,,,,,, +647,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,166.0,56.0,14.0,30.0,19.0,1002,python toolbox for visualizing geographical data and making maps.,8.0,22,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,173.0,161.0,https://pypi.org/project/geoplotlib,1623.0,1815.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,5201.0,,,,,3.0,,2016-07-27 14:55:01.000,12.0,,,,,,,,,,,,,,,,,,, +648,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-08-16 08:29:19.000000,2022-11-22 10:31:22,441.0,,202.0,55.0,80.0,57.0,204.0,989,Line based ATR Engine based on OCRopy.,20.0,22,True,2022-03-21 11:52:48.000,2.2.2,39.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,1395.0,1395.0,,,,,,,,3.0,,2022-02-28 18:12:31.000,5.0,,,,,,,,,,,,,,,,,,, +649,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,7.0,27.0,898,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,22,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],66.0,62.0,https://pypi.org/project/saliency,4305.0,4305.0,,,,,,,,3.0,,2022-06-14 18:11:08.000,4.0,,,,,,,,,,,,,,,,,,, +650,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-07-04 00:10:02.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,45.0,14.0,82.0,894,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2305.0,2291.0,https://pypi.org/project/kapre,1465.0,1465.0,,,,,,,,3.0,25.0,2022-01-21 20:09:21.000,14.0,,,,,,,,,,,,,,,,,,, +651,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-05-15 11:15:26.000000,2020-02-25 14:31:53,879.0,,99.0,29.0,59.0,16.0,74.0,801,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,321.0,317.0,https://pypi.org/project/mlens,2340.0,2340.0,,,,,,,,3.0,,2018-10-30 22:30:43.000,4.0,,,,,,,,,,,,,,,,,,, +652,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73.0,6.0,5.0,4.0,23.0,785,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],351.0,339.0,https://pypi.org/project/iterative-stratification,60958.0,60958.0,,,,,,,,3.0,,2021-10-03 18:49:49.000,12.0,,,,,,,,,,,,,,,,,,, +653,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-08-11 15:56:45.000000,2023-08-11 15:55:37,272.0,4.0,240.0,44.0,18.0,6.0,91.0,768,Data compression in TensorFlow.,21.0,22,True,2023-07-26 23:21:33.000,2.13.0,21.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,5613.0,5613.0,,,,,,,,3.0,,2023-07-26 23:20:24.000,2.0,,,,,,,,,,,,,,,,,,, +654,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,73.0,26.0,37.0,25.0,21.0,736,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,69626.0,69626.0,,,,,,,,3.0,17.0,2019-12-01 01:19:50.000,23.0,,,,,,,,,,,,,,,,,,, +655,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-07-05 16:32:59.000000,2023-07-05 16:32:16,224.0,1.0,90.0,15.0,34.0,30.0,23.0,691,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,10.0,22,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,383.0,373.0,https://pypi.org/project/detoxify,14655.0,22464.0,,,,,,,,3.0,257700.0,2022-12-19 18:16:02.257,10.0,,,,,,,,,,,,,,,,,,, +656,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-08-11 02:26:48.000000,2023-05-18 17:21:50,1498.0,,77.0,36.0,637.0,22.0,118.0,685,Scikit-learn style model finetuning for NLP.,21.0,22,True,2021-12-20 14:14:00.000,0.9.0,38.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,244.0,244.0,,,,,,,,3.0,,2021-12-20 14:14:00.000,2.0,,,,,,,,,,,,,,,,,,, +657,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-06-16 19:19:30.367000,2023-06-05 07:08:03,591.0,2.0,122.0,16.0,50.0,27.0,115.0,676,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,31.0,22,True,2023-03-16 18:06:01.469,1.6.1,41.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],37.0,,https://pypi.org/project/torch-cluster,11233.0,13213.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-06-16 19:19:30.367,77240.0,,,,,3.0,,2022-03-11 14:21:26.000,37.0,,,,,,,,,,,,,,,,,,, +658,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,104.0,30.0,1.0,12.0,3.0,621,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,22,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",573.0,568.0,https://pypi.org/project/combo,86416.0,86416.0,,,,,,,,3.0,,2022-04-02 16:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +659,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,129.0,23.0,18.0,8.0,29.0,565,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],137.0,132.0,https://pypi.org/project/rfpimp,23456.0,23456.0,,,,,,,,3.0,,2021-01-28 23:19:33.000,5.0,,,,,,,,,,,,,,,,,,, +660,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-08-01 07:56:04.000000,2023-05-12 14:10:10,860.0,,96.0,44.0,62.0,48.0,23.0,559,Bias and Fairness Audit Toolkit.,18.0,22,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,145.0,139.0,https://pypi.org/project/aequitas,1597.0,1597.0,,,,,,,,3.0,,2020-12-16 11:48:14.000,6.0,,,,,,,,,,,,,,,,,,, +661,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,51.0,11.0,20.0,11.0,37.0,492,Joyplots in Python with matplotlib & pandas.,6.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,306.0,297.0,https://pypi.org/project/joypy,13978.0,14385.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,21618.0,,,,,3.0,,2021-12-19 09:42:50.000,9.0,,,,,,,,,,,,,,,,,,, +662,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-08-13 08:45:48.000000,2023-08-03 20:13:35,439.0,19.0,51.0,25.0,6.0,8.0,29.0,475,Active Learning for Text Classification in Python.,4.0,22,True,2023-07-22 19:55:04.000,1.3.1,18.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",21.0,21.0,https://pypi.org/project/small-text,595.0,897.0,https://anaconda.org/conda-forge/small-text,2023-07-22 20:13:00.181,3926.0,,,,,3.0,,2023-07-22 19:51:33.000,,,,,,,,,,,,,,,,,,,, +663,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-05-30 12:58:18.000000,2023-05-30 12:58:18,278.0,6.0,73.0,7.0,8.0,2.0,69.0,451,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,9.0,22,True,2023-05-28 19:00:00.638,0.3.2,144.0,featurewiz,,,,,50.0,48.0,https://pypi.org/project/featurewiz,8803.0,8803.0,,,,,,,,3.0,,2023-01-02 17:22:46.739,2.0,,,,,,,,,,,,,,,,,,, +664,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2023-08-14 17:40:45.000000,2023-08-10 14:15:29,1546.0,89.0,54.0,6.0,183.0,37.0,74.0,400,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,22,False,2023-08-10 10:58:42.000,0.4.3,21.0,quantus,,,,,17.0,16.0,https://pypi.org/project/quantus,484.0,490.0,,,,,,,,3.0,125.0,2023-08-10 10:58:42.000,1.0,,,,,,,,,,,,,,,,,,, +665,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-08-16 22:36:36.000000,2023-08-16 22:25:22,5548.0,162.0,86.0,14.0,726.0,33.0,419.0,378,Lightwood is Legos for Machine Learning.,39.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,200.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,6624.0,6624.0,,,,,,,,3.0,,2023-08-07 15:56:06.000,2.0,,,,,,,,,,,,,,,,,,, +666,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-07-25 21:03:07.000000,2023-01-09 20:06:01,2410.0,,52.0,24.0,231.0,57.0,195.0,375,Studio: Simplify and expedite model building process.,22.0,22,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,319.0,319.0,,,,,,,,3.0,,2021-09-14 22:55:51.000,,,,,,,,,,,,,,,,,,,, +667,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-15 17:36:45.000000,2023-08-15 17:36:03,365.0,9.0,33.0,18.0,6.0,17.0,21.0,301,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,27.0,22,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],64.0,63.0,https://pypi.org/project/dm-launchpad,2104.0,2104.0,,,,,,,,3.0,,2022-04-28 06:23:38.000,1.0,,,,,,,,,,,,,,,,,,, +668,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-06-16 19:26:58.237000,2022-12-12 14:53:36,244.0,,25.0,8.0,4.0,21.0,54.0,257,Multiple Imputation with LightGBM in Python.,6.0,22,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,83.0,81.0,https://pypi.org/project/miceforest,26678.0,27094.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,10420.0,,,,,1.0,,2022-04-15 14:53:33.000,2.0,,,,,,,,,,,,,,,,,,, +669,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-06-16 19:23:42.362000,2023-05-29 22:53:26,2453.0,3.0,56.0,9.0,224.0,28.0,72.0,243,Python recommendation toolkit.,13.0,22,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,90.0,86.0,https://pypi.org/project/lenskit,927.0,1585.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,21732.0,,,,,3.0,,2022-08-16 20:29:07.512,4.0,,,,,,,,,,,,,,,,,,, +670,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2023-08-10 10:30:37.000000,2023-08-10 08:58:24,574.0,12.0,33.0,25.0,627.0,21.0,126.0,230,Highly optimized inference engine for Binarized Neural Networks.,18.0,22,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,1991.0,2013.0,,,,,,,,3.0,941.0,2023-08-10 10:30:37.000,,,,,,,,,,,,,,,,,,,, +671,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,3.0,9.0,150,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,7.0,stop-words,,,,,1959.0,1959.0,https://pypi.org/project/stop-words,94163.0,94163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +672,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-08-15 07:38:25.000000,2023-08-15 07:38:22,956.0,3.0,531.0,167.0,45.0,36.0,28.0,3987,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,367.0,367.0,,,,,,,,3.0,,2022-08-19 12:40:54.257,2.0,,,,,,,,,,,,,,,,,,, +673,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-06-12 18:21:59.000000,2023-06-12 18:21:59,114.0,2.0,357.0,101.0,16.0,53.0,17.0,3331,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",14.0,21,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,127.0,120.0,https://pypi.org/project/tensorwatch,1275.0,1275.0,,,,,,,,3.0,,2020-03-04 07:26:22.000,7.0,,,,,,,,,,,,,,,,,,, +674,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,443.0,168.0,120.0,14.0,112.0,2914,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +675,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-07-20 08:09:53.000000,2023-04-02 02:43:29,2583.0,,998.0,131.0,978.0,53.0,67.0,2901,a distributed deep learning platform.,81.0,21,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,41.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,660.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,3305.0,3.0,,,,,,,,,,,,,,,,,,,,,, +676,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,,327.0,76.0,2.0,18.0,7.0,2899,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],181.0,173.0,https://pypi.org/project/adabound,1388.0,1388.0,,,,,,,,3.0,,2019-02-26 04:23:45.000,8.0,,,,,,,,,,,,,,,,,,, +677,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-08-14 22:34:47.000000,2021-05-06 12:10:38,127.0,,144.0,50.0,46.0,2.0,30.0,2871,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,21,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,113.0,178.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1246.0,,,,,3.0,,2021-05-04 18:48:03.000,,,,,,,,,,,,,,,,,,,, +678,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,,827.0,87.0,30.0,45.0,80.0,2584,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,74.0,67.0,https://pypi.org/project/deepwalk,643.0,643.0,,,,,,,,3.0,,2018-04-29 21:05:18.000,7.0,,,,,,,,,,,,,,,,,,, +679,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,,356.0,86.0,4.0,3.0,18.0,2084,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,46.0,45.0,https://pypi.org/project/pdftabextract,307.0,307.0,,,,,,,,3.0,,2018-01-09 08:00:24.000,1.0,,,,,,,,,,,,,,,,,,, +680,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,172.0,55.0,895.0,129.0,586.0,1845,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,21,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,20.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,981.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +681,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-08-12 14:31:57.000000,2023-08-10 17:09:47,309.0,5.0,137.0,24.0,30.0,26.0,30.0,1770,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],27.0,26.0,https://pypi.org/project/ecco,684.0,877.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,3854.0,,,,,3.0,64.0,2022-01-09 21:14:50.000,1.0,,,,,,,,,,,,,,,,,,, +682,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,14.0,33.0,1622,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],50.0,44.0,https://pypi.org/project/antialiased-cnns,2152.0,2152.0,,,,,,,,3.0,,2020-10-23 22:42:49.000,6.0,,,,,,,,,,,,,,,,,,, +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,,193.0,30.0,423.0,11.0,163.0,1612,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,27.0,21,True,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,124.0,124.0,,,,,,,,3.0,,2022-01-20 15:18:44.000,,,,,,,,,,,,,,,,,,,, +684,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-06-10 00:29:25.000000,2020-12-17 06:57:15,932.0,,295.0,67.0,200.0,1.0,74.0,1556,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,5.0,262.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13110.0,3.0,,,,,,,,,,,,,,,,,,,,,, +685,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,128.0,102.0,149.0,26.0,20.0,1548,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,1463.0,1463.0,,,,,,,,3.0,,2022-02-02 23:30:10.000,1.0,,,,,,,,,,,,,,,,,,, +686,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-06-14 15:33:56.000000,2023-05-13 08:12:05,905.0,,204.0,56.0,52.0,67.0,148.0,1496,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,242.0,274.0,,,,,,,,3.0,2667.0,2020-03-13 12:36:30.000,,,,,,,,,,,,,,,,,,,, +687,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,358.0,64.0,47.0,37.0,72.0,1473,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,267.0,267.0,,,,,,,,3.0,,2018-07-17 01:59:21.000,6.0,,,,,,,,,,,,,,,,,,, +688,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,222.0,64.0,48.0,36.0,90.0,1240,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'],34.0,31.0,https://pypi.org/project/tensorrec,330.0,330.0,,,,,,,,3.0,,2019-04-02 00:53:47.000,3.0,,,,,,,,,,,,,,,,,,, +689,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-08-17 08:55:57.000000,2023-08-12 13:23:12,1192.0,3.0,86.0,29.0,136.0,64.0,127.0,1239,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",22.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,106.0,118.0,,,,,,,,3.0,453.0,2022-04-13 10:22:18.000,,,,,,,,,,,,,,,,,,,, +690,Skater,oracle/Skater,interpretability,,https://github.com/oracle/skater,https://github.com/oracle/skater,UPL-1.0,2017-01-26 05:45:42.000,2023-06-16 13:21:14.462000,2023-03-21 12:52:00,1113.0,,182.0,56.0,151.0,72.0,97.0,1071,Python Library for Model Interpretation/Explanations.,37.0,21,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,288.0,1114.0,https://anaconda.org/conda-forge/skater,2023-06-16 13:21:14.462,61186.0,,,,,3.0,,2018-09-21 07:03:32.000,,,,,,,,,,,,,,,,,,,, +691,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1044,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,119.0,109.0,https://pypi.org/project/fastfm,396.0,401.0,,,,,,,,3.0,580.0,2017-11-23 06:59:56.000,10.0,,,,,,,,,,,,,,,,,,, +692,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,109.0,48.0,98.0,38.0,51.0,988,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,21,False,2021-11-18 20:27:53.000,0.3.1,7.0,tf-explain,,,,['tensorflow'],187.0,187.0,https://pypi.org/project/tf-explain,1781.0,1781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +693,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,245.0,47.0,45.0,25.0,127.0,956,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,194.0,194.0,,,,,,,,3.0,,2019-04-19 05:28:27.000,,,,,,,,,,,,,,,,,,,, +694,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132.0,36.0,16.0,8.0,3.0,912,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3521.0,3509.0,https://pypi.org/project/nudepy,1640.0,1640.0,,,,,,,,3.0,,2020-11-23 13:49:17.000,12.0,,,,,,,,,,,,,,,,,,, +695,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,1.0,124.0,18.0,24.0,26.0,39.0,769,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,35332.0,35706.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,18369.0,,,,,3.0,,2021-03-14 16:21:17.000,26.0,,,,,,,,,,,,,,,,,,, +696,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,152.0,38.0,46.0,39.0,49.0,746,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,89.0,81.0,https://pypi.org/project/deeplift,575.0,575.0,,,,,,,,3.0,,2020-11-11 09:32:57.000,8.0,,,,,,,,,,,,,,,,,,, +697,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,,138.0,25.0,19.0,20.0,4.0,729,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,,,1.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],498.0,498.0,https://pypi.org/project/treeinterpreter,82533.0,82655.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,4177.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +698,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,68.0,28.0,422.0,10.0,237.0,628,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],84.0,80.0,https://pypi.org/project/torchbearer,225.0,225.0,,,,,,,,3.0,,2020-01-31 14:05:56.000,4.0,,,,,,,,,,,,,,,,,,, +699,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,106.0,24.0,25.0,42.0,61.0,598,Build fully-functioning computer vision models with PyTorch.,12.0,21,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],149.0,147.0,https://pypi.org/project/detecto,2008.0,2123.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3013.0,,,,,3.0,,2022-02-02 00:12:06.000,2.0,,,,,,,,,,,,,,,,,,, +700,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,,2015-09-09 13:39:18.000,2023-06-16 13:18:14.055000,2018-12-04 14:43:25,32.0,,76.0,22.0,7.0,21.0,41.0,595,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,21,False,2018-01-15 18:11:51.000,0.9.0,8.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],356.0,356.0,https://pypi.org/project/pivottablejs,20763.0,20790.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2479.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +701,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,,57.0,19.0,216.0,49.0,287.0,579,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,True,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,50.0,49.0,https://pypi.org/project/neuraxle,557.0,557.0,,,,,,,,3.0,,2022-08-16 19:50:37.507,1.0,,,,,,,,,,,,,,,,,,, +702,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,88.0,26.0,31.0,28.0,6.0,555,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'],293.0,286.0,https://pypi.org/project/skope-rules,52780.0,52780.0,,,,,,,,3.0,,2020-01-25 12:01:37.000,7.0,,,,,,,,,,,,,,,,,,, +703,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,,64.0,30.0,31.0,5.0,24.0,554,Python module for machine learning time series:.,14.0,21,True,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,46.0,44.0,https://pypi.org/project/seglearn,1447.0,1447.0,,,,,,,,3.0,,2021-03-13 16:18:30.000,2.0,,,,,,,,,,,,,,,,,,, +704,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 16:09:49,767.0,5.0,63.0,18.0,111.0,8.0,47.0,547,A simplified framework and utilities for PyTorch.,20.0,21,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],126.0,121.0,https://pypi.org/project/poutyne,3938.0,3938.0,,,,,,,,3.0,,2022-04-28 20:18:33.000,5.0,,,,,,,,,,,,,,,,,,, +705,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-08-02 02:05:58.000000,2023-06-16 17:02:11,291.0,4.0,97.0,15.0,42.0,13.0,14.0,525,A library of metrics for evaluating recommender systems.,19.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,43.0,43.0,https://pypi.org/project/recmetrics,10063.0,10063.0,,,,,,,,3.0,5.0,2022-04-26 17:57:01.000,,,,,,,,,,,,,,,,,,,, +706,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,3.0,102.0,19.0,56.0,26.0,20.0,450,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,21,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,59.0,51.0,https://pypi.org/project/rrcf,3946.0,3946.0,,,,,,,,3.0,,2020-06-10 01:53:55.000,8.0,,,,,,,,,,,,,,,,,,, +707,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-08-14 19:09:16.000000,2023-07-23 15:23:19,2231.0,7.0,40.0,11.0,11.0,11.0,49.0,450,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,21,True,2023-05-23 13:39:00.358,4.4.3,73.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,990.0,992.0,,,,,,,,3.0,126.0,2022-05-04 16:40:08.000,5.0,,,,,,,,,,,,,,,,,,, +708,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-06-04 11:48:19.000000,2023-03-05 00:16:57,419.0,,96.0,35.0,276.0,68.0,172.0,430,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",18.0,21,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,72.0,70.0,https://pypi.org/project/tick,839.0,842.0,,,,,,,,3.0,280.0,2020-05-24 22:01:17.000,2.0,,,,,,,,,,,,,,,,,,, +709,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,11.0,48.0,49.0,410,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,115.0,101.0,https://pypi.org/project/optunity,5682.0,5682.0,,,,,,,,3.0,77.0,2015-09-30 05:02:00.000,14.0,,,,,,,,,,,,,,,,,,, +710,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-08-14 03:11:29.000000,2023-08-14 03:10:35,4699.0,53.0,37.0,13.0,1.0,2.0,80.0,397,Deep Learning PyTorch.,1.0,21,True,2023-08-14 03:11:29.000,0.4.7,101.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,794.0,794.0,,,,,,,,2.0,,2023-08-14 03:11:29.000,,,,,,,,,,,,,,,,,,,, +711,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,68.0,25.0,48.0,15.0,19.0,386,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,21,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],45.0,,https://pypi.org/project/skrebate,4023.0,4485.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,30975.0,,,,,3.0,,2021-03-20 17:11:52.000,45.0,,,,,,,,,,,,,,,,,,, +712,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-08-01 02:21:14.000000,2023-08-01 02:20:09,642.0,8.0,60.0,31.0,404.0,11.0,91.0,360,IPython/Jupyter notebook module for Vega and Vega-Lite.,14.0,21,True,2023-07-18 13:09:18.000,4.0.0,28.0,vega,conda-forge/vega,,,['jupyter'],2.0,2.0,https://pypi.org/project/vega,9921.0,16503.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,566099.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +713,TimeSide,Parisson/TimeSide,audio,,https://github.com/Ircam-WAM/TimeSide,https://github.com/Ircam-WAM/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-07-21 09:15:54.000000,2023-02-01 10:38:52,3728.0,,60.0,26.0,110.0,32.0,184.0,352,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,107.0,107.0,,,,,,,,3.0,,2020-11-27 09:33:19.000,14.0,,,,,,,,Ircam-WAM/TimeSide,,,,,,,,,,, +714,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,47.0,10.0,37.0,28.0,37.0,338,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,199.0,195.0,https://pypi.org/project/impyute,5367.0,5367.0,,,,,,,,3.0,,2017-05-31 08:31:47.000,4.0,,,,,,,,,,,,,,,,,,, +715,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-06-16 19:23:09.531000,2023-06-02 19:34:41,510.0,2.0,36.0,5.0,11.0,5.0,45.0,294,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,21,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],24.0,,https://pypi.org/project/scikit-posthocs,48719.0,71464.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,773334.0,,,,,3.0,37.0,2022-05-07 07:58:05.000,24.0,,,,,,,,,,,,,,,,,,, +716,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-08-11 14:41:56.000000,2023-08-11 14:41:56,586.0,38.0,10.0,22.0,266.0,34.0,63.0,256,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2023-06-04 21:21:12.000,1.3.0,55.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,8.0,6.0,https://pypi.org/project/vegafusion-jupyter,624.0,5606.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-06-05 02:10:07.143,69238.0,,,,,3.0,4608.0,2023-07-25 19:35:45.000,1.0,,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-07-25 19:38:29.884,1.0,668.0,hex-inc/vegafusion,,,,,,,,,,, +717,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-06-16 13:21:34.221000,2022-09-26 07:14:12,621.0,,64.0,27.0,29.0,29.0,113.0,250,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,11.0,,https://pypi.org/project/somoclu,2387.0,3521.0,https://anaconda.org/conda-forge/somoclu,2023-06-16 13:21:34.221,80453.0,,,,,3.0,1793.0,2023-02-18 02:51:08.166,11.0,,,,,,,,,,,,,,,,,,, +718,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-07-06 22:38:10.000000,2023-01-26 17:04:18,400.0,,97.0,18.0,386.0,61.0,86.0,236,An open-source toolkit for large-scale genomic analysis.,24.0,21,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,72801.0,72916.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3478.0,,,,,3.0,,2022-04-19 23:43:38.000,,,,,,,,,,,,,,,,,,,, +719,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-08-02 10:27:58.000000,2023-07-02 18:02:16,1462.0,16.0,44.0,14.0,136.0,17.0,61.0,215,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,33.0,31.0,https://pypi.org/project/pyrdf2vec,230.0,230.0,,,,,,,,3.0,,2021-06-09 10:56:14.000,2.0,,,,,,,,,,,,,,,,,,, +720,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-08-19 00:53:25.000000,2022-02-10 07:36:23,432.0,,475.0,88.0,179.0,108.0,161.0,3473,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,53.0,79.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1314.0,3.0,,2021-08-02 17:37:42.000,,,,,,,,,,,,,,,,,,,, +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,,165.0,65.0,54.0,6.0,44.0,3057,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,226.0,227.0,,,,,,,,3.0,40.0,2021-11-19 16:45:29.543,,,,,,,,,,,,,,,,,,,, +722,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2874,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,1059.0,1059.0,,,,,,,,3.0,,2017-02-13 14:54:48.000,4.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,, +723,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-03-20 10:13:27.000000,2022-07-20 20:54:36,1904.0,,322.0,102.0,999.0,87.0,260.0,2805,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +724,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-08-08 21:17:38.000000,2023-08-08 21:17:31,765.0,2.0,353.0,94.0,544.0,83.0,91.0,2725,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,20,True,2019-05-09 10:06:22.000,1.0.0,1.0,tensorflow-graphics,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-graphics,3261.0,3261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +725,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,445.0,128.0,225.0,87.0,183.0,2261,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,36.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,99.0,99.0,,,,,,,,3.0,,2019-10-10 14:17:10.000,2.0,,,,,,,,,,,,,,,,,,, +726,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,2.0,253.0,54.0,35.0,13.0,105.0,1943,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2178.0,2178.0,,,,,,,,3.0,,2021-11-06 23:09:00.000,,,,,,,,,,,,,,,,,,,, +727,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-08-10 13:56:21.000000,2023-07-19 18:58:36,357.0,5.0,124.0,17.0,57.0,13.0,29.0,1442,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,13.0,20,True,2023-02-23 16:10:05.727,0.1.1,11.0,pythae,,,,['pytorch'],11.0,11.0,https://pypi.org/project/pythae,494.0,494.0,,,,,,,,3.0,,2022-09-07 17:05:43.199,,,,,,,,,,,,,,,,,,,, +728,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,402.0,102.0,36.0,11.0,24.0,1394,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,145.0,145.0,,,,,,,,3.0,,2018-02-26 17:43:57.000,,,,,,,,,,,,,,,,,,,, +729,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,41.0,13.0,14.0,9.0,1261,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,101.0,100.0,https://pypi.org/project/doc2text,2195.0,2195.0,,,,,,,,3.0,,2016-09-06 21:59:21.000,1.0,,,,,,,,,,,,,,,,,,, +730,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,,184.0,52.0,12.0,16.0,42.0,1011,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],69.0,65.0,https://pypi.org/project/tensornets,88.0,88.0,,,,,,,,3.0,,2020-03-31 04:35:15.000,4.0,,,,,,,,,,,,,,,,,,, +731,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-08-15 10:22:33.000000,2023-07-19 02:39:43,450.0,25.0,106.0,19.0,146.0,13.0,98.0,1007,A standard framework for modelling Deep Learning Models for tabular data.,16.0,20,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2289.0,2289.0,,,,,,,,3.0,18.0,2021-09-01 11:51:30.000,2.0,,,,,,,,,,,,,,,,,,, +732,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-06-16 19:18:16.533000,2020-04-17 02:27:44,79.0,,130.0,27.0,73.0,39.0,36.0,959,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,243854.0,244032.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7302.0,,,,,3.0,,2020-04-17 02:18:00.000,2.0,,,,,,,,,,,,,,,,,,, +733,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-03-28 16:16:19.000000,2023-03-28 16:16:19,301.0,,85.0,18.0,70.0,17.0,42.0,880,Audio processing by using pytorch 1D convolution network.,14.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,123.0,120.0,https://pypi.org/project/nnAudio,3807.0,3807.0,,,,,,,,3.0,,2021-12-24 09:38:22.000,3.0,,,,,,,,,,,,,,,,,,, +734,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,20.0,794,An open source python library for scalable Bayesian optimisation.,13.0,20,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,34428.0,34428.0,,,,,,,,3.0,,2022-10-01 22:28:00.848,2.0,,,,,,,,,,,,,,,,,,, +735,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,,158.0,76.0,98.0,51.0,43.0,753,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,30192.0,30192.0,,,,,,,,3.0,,2018-05-16 14:20:28.000,1.0,,,,,,,,,,,,,,,,,,, +736,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,145.0,38.0,33.0,25.0,39.0,745,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,101.0,85.0,https://pypi.org/project/NearPy,765.0,765.0,,,,,,,,3.0,,2016-09-27 13:03:12.000,16.0,,,,,,,,,,,,,,,,,,, +737,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,28.0,21.0,34.0,735,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],42.0,40.0,https://pypi.org/project/sklearn-deap,348.0,348.0,,,,,,,,3.0,,2021-07-30 15:13:54.000,2.0,,,,,,,,,,,,,,,,,,, +738,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,102.0,9.0,14.0,5.0,16.0,555,Make Waffle Charts in Python.,6.0,20,False,,,5.0,pywaffle,conda-forge/pywaffle,,,,251.0,251.0,https://pypi.org/project/pywaffle,3308.0,3494.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +739,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,163.0,56.0,20.0,39.0,60.0,533,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,80.0,80.0,,,,,,,,3.0,,2017-05-10 17:14:37.000,5.0,,,,,,,,,,,,,,,,,,, +740,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-27 07:10:33.000000,2023-03-27 07:10:33,410.0,,51.0,59.0,8.0,20.0,24.0,496,Python library assists deep learning on graphs.,17.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,64.0,63.0,https://pypi.org/project/deepsnap,482.0,482.0,,,,,,,,3.0,10.0,2021-09-05 22:57:16.000,1.0,,,,,,,,,,,,,,,,,,, +741,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172.0,,45.0,10.0,8.0,10.0,19.0,480,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,79.0,71.0,https://pypi.org/project/apricot-select,19864.0,19864.0,,,,,,,,3.0,26.0,2020-09-28 07:19:15.000,8.0,,,,,,,,,,,,,,,,,,, +742,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-05-08 01:10:39.000000,2023-05-08 01:10:39,371.0,,97.0,29.0,19.0,37.0,8.0,462,A python library for Bayesian time series modeling.,6.0,20,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,33.0,31.0,https://pypi.org/project/pydlm,33404.0,33404.0,,,,,,,,3.0,,2018-12-19 10:27:54.000,2.0,,,,,,,,,,,,,,,,,,, +743,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-08-15 14:33:12.000000,2023-07-21 10:47:15,2586.0,149.0,56.0,11.0,234.0,9.0,99.0,397,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,20.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,79.0,79.0,,,,,,,,3.0,,2022-04-12 08:56:50.000,,,,,,,,,,,,,,,,,,,, +744,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,,24.0,10.0,9.0,2.0,9.0,360,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,True,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],551.0,545.0,https://pypi.org/project/julius,165341.0,165341.0,,,,,,,,3.0,,2022-09-20 06:43:57.063,6.0,,,,,,,,,,,,,,,,,,, +745,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,16.0,15.0,326,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],218.0,211.0,https://pypi.org/project/mxboard,6207.0,6207.0,,,,,,,,3.0,,2018-05-22 20:25:51.000,7.0,,,,,,,,,,,,,,,,,,, +746,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-08-14 07:54:20.000000,2021-05-28 01:21:58,393.0,,127.0,35.0,320.0,78.0,125.0,310,Brain Imaging Analysis Kit.,34.0,20,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,23.0,22.0,https://pypi.org/project/brainiak,137.0,146.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,870.0,3.0,,2020-10-15 20:45:08.000,1.0,,,,,,,,,,,,,,,,,,, +747,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-08-03 16:29:02.000000,2023-06-23 13:37:52,676.0,15.0,48.0,26.0,76.0,12.0,23.0,287,A Python implementation of active inference for Markov Decision Processes.,14.0,20,False,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,6.0,6.0,https://pypi.org/project/inferactively-pymdp,159.0,159.0,,,,,,,,3.0,,2022-12-08 15:25:01.498,,,,,,,,,,,,,,,,,,,, +748,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,285,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,220876.0,220876.0,,,,,,,,3.0,,2020-05-14 22:20:14.000,2.0,,,,,,,,,,,,,,,,,,, +749,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,,31.0,9.0,4.0,20.0,29.0,228,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,364.0,350.0,https://pypi.org/project/pyfasttext,3053.0,3058.0,,,,,,,,3.0,364.0,2018-12-08 15:32:09.000,14.0,,,,,,,,,,,,,,,,,,, +750,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-02-16 21:22:03.000000,2023-02-06 22:03:09,575.0,,19.0,19.0,463.0,90.0,75.0,221,Functional tensors for probabilistic programming.,11.0,20,False,2023-01-23 08:32:39.757,0.4.5,11.0,funsor,,,,['pytorch'],56.0,53.0,https://pypi.org/project/funsor,13890.0,13890.0,,,,,,,,3.0,,2023-01-23 08:32:39.757,3.0,,,,,,,,,,,,,,,,,,, +751,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,,23.0,8.0,11.0,3.0,9.0,208,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,62.0,60.0,https://pypi.org/project/numerizer,40311.0,40311.0,,,,,,,,3.0,,2023-01-03 08:08:01.830,2.0,,,,,,,,,,,,,,,,,,, +752,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,1.0,29.0,11.0,197.0,21.0,73.0,178,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],28.0,27.0,https://pypi.org/project/celer,1112.0,1112.0,,,,,,,,3.0,,2023-07-26 15:36:39.000,1.0,,,,,,,,,,,,,,,,,,, +753,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-07-10 14:25:15.000000,2023-06-13 12:45:58,188.0,2.0,1086.0,97.0,46.0,346.0,275.0,5827,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,19,True,,,,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +754,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,408.0,110.0,83.0,67.0,48.0,2893,Deep recommender models using PyTorch.,11.0,19,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,113.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8409.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +755,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,,309.0,60.0,242.0,169.0,109.0,2888,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,19,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,1008.0,1023.0,,,,,,,,3.0,669.0,2022-11-03 06:46:55.989,2.0,,,,,,,,,,,,,,,,,,, +756,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22.0,,254.0,33.0,18.0,27.0,37.0,2743,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,1257.0,1257.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +757,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,,157.0,46.0,3.0,13.0,15.0,1527,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],9.0,9.0,https://pypi.org/project/lambda-networks,3717.0,3717.0,,,,,,,,3.0,,2020-11-18 08:19:23.000,,,,,,,,,,,,,,,,,,,, +758,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-07-26 02:42:57.000000,2023-03-14 23:02:49,75.0,,160.0,24.0,18.0,13.0,28.0,1428,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,75.0,76.0,,,,,,,,3.0,26.0,2022-03-24 23:19:13.000,,,,,,,,,,,,,,,,,,,, +759,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,138.0,17.0,11.0,41.0,43.0,977,"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'],101.0,96.0,https://pypi.org/project/performer-pytorch,6789.0,6789.0,,,,,,,,3.0,,2022-02-02 20:34:04.000,5.0,,,,,,,,,,,,,,,,,,, +760,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,144.0,15.0,24.0,58.0,69.0,839,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,84.0,83.0,https://pypi.org/project/pytorch2keras,415.0,415.0,,,,,,,,3.0,,2020-05-14 10:03:56.000,1.0,,,,,,,,,,,,,,,,,,, +761,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,155.0,19.0,41.0,21.0,58.0,822,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,151.0,148.0,https://pypi.org/project/robustness,246.0,448.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7287.0,,,,,3.0,,2020-12-01 06:21:33.000,3.0,,,,,,,,,,,,,,,,,,, +762,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-06-12 22:12:53.000000,2023-06-12 22:12:53,449.0,2.0,71.0,25.0,157.0,41.0,60.0,745,,26.0,19,False,2022-02-01 00:17:20.000,1.6.0,7.0,objax,,,,['jax'],38.0,38.0,https://pypi.org/project/objax,480.0,480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +763,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-08-17 13:46:46.000000,2023-08-17 12:49:49,1038.0,122.0,119.0,32.0,877.0,15.0,50.0,735,Machine learning framework for both deep learning and traditional algorithms.,34.0,19,True,2021-06-22 05:25:53.000,NeoML-master_2.0.5.0,2.0,neoml,,,,,,,https://pypi.org/project/neoml,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +764,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,98.0,27.0,48.0,19.0,35.0,715,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,22.0,20.0,https://pypi.org/project/matrixprofile-ts,384.0,384.0,,,,,,,,3.0,,2019-08-08 01:24:38.000,2.0,,,,,,,,,,,,,,,,,,, +765,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-08-15 13:21:25.000000,2023-08-09 16:44:38,1292.0,10.0,118.0,43.0,432.0,25.0,130.0,694,GPU accelerated signal processing.,46.0,19,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +766,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-07-04 06:28:41.000000,2023-07-04 06:28:40,291.0,2.0,57.0,24.0,45.0,9.0,16.0,677,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2022-10-05 05:02:01.602,0.2.15,21.0,evojax,conda-forge/evojax,,,['jax'],12.0,10.0,https://pypi.org/project/evojax,722.0,1817.0,https://anaconda.org/conda-forge/evojax,2023-06-18 08:40:51.674,19719.0,,,,,3.0,,2022-10-05 05:02:01.602,2.0,,,,,,,,,,,,,,,,,,, +767,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,626,Log TensorBoard events without touching TensorFlow.,5.0,19,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,186.0,134.0,https://pypi.org/project/tensorboard_logger,4657.0,4657.0,,,,,,,,3.0,,2018-02-08 07:28:51.000,52.0,,,,,,,,,,,,,,,,,,, +768,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-07-06 21:34:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,79.0,14.0,55.0,582,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],21.0,18.0,https://pypi.org/project/tcav,114.0,114.0,,,,,,,,3.0,,2021-02-23 16:17:42.000,3.0,,,,,,,,,,,,,,,,,,, +769,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,2.0,70.0,40.0,17.0,13.0,22.0,551,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,31.0,27.0,https://pypi.org/project/n2,474.0,474.0,,,,,,,,3.0,,2020-10-16 03:10:01.000,4.0,,,,,,,,,,,,,,,,,,, +770,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,1.0,91.0,26.0,6.0,4.0,24.0,455,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,19,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,24.0,22.0,https://pypi.org/project/autoviml,630.0,630.0,,,,,,,,3.0,,2022-06-01 23:08:15.000,2.0,,,,,,,,,,,,,,,,,,, +771,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-08-05 05:40:16.000000,2019-03-27 03:17:24,122.0,,107.0,71.0,7.0,15.0,19.0,411,semantic similarity framework for knowledge graph.,5.0,19,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,43.0,https://pypi.org/project/sematch,320.0,320.0,,,,,,,,3.0,,2017-04-17 10:56:52.000,3.0,,,,,,,,,,,,,,,,,,, +772,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-03-30 21:45:50.000000,2023-03-30 21:45:50,361.0,,95.0,18.0,3.0,5.0,27.0,405,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,46.0,46.0,https://pypi.org/project/chefboost,612.0,612.0,,,,,,,,3.0,,2022-02-16 06:14:54.000,,,,,,,,,,,,,,,,,,,, +773,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,38.0,11.0,29.0,17.0,17.0,401,A python package for animating plots build on matplotlib.,7.0,19,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,53.0,51.0,https://pypi.org/project/animatplot,223.0,447.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12116.0,,,,,3.0,,2020-10-05 06:20:52.000,2.0,,,,,,,,,,,,,,,,,,, +774,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340,Camphr - NLP libary for creating pipeline components.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,261.0,261.0,,,,,,,,3.0,,2020-02-17 07:50:16.000,2.0,,,,,,,,,,,,,,,,,,, +775,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-08-16 21:27:20.000000,2023-08-16 21:27:14,316.0,1.0,78.0,25.0,324.0,21.0,9.0,315,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2215.0,2215.0,,,,,,,,3.0,,2022-12-13 19:06:03.653,,,,,,,,,,,,,,,,,,,, +776,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-08-17 12:21:31.000000,2023-08-17 12:21:30,389.0,35.0,69.0,24.0,400.0,31.0,51.0,259,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,30.0,19,False,2022-06-03 15:53:33.000,0.2.0,14.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,108.0,108.0,,,,,,,,3.0,,2023-01-30 14:45:00.398,,,,,,,,,,,,,,,,,,,, +777,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,257,Streaming over lightweight data transformations.,5.0,19,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,52.0,49.0,https://pypi.org/project/solt,264.0,264.0,,,,,,,,3.0,,2020-03-10 14:09:31.000,3.0,,,,,,,,,,,,,,,,,,, +778,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-08-16 20:17:29.000000,2023-08-03 12:35:41,595.0,63.0,20.0,4.0,238.0,4.0,,242,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,19,False,2023-08-02 15:19:50.000,1.1.178,460.0,upgini,,,,,1.0,1.0,https://pypi.org/project/upgini,3947.0,3947.0,,,,,,,,3.0,,2023-08-16 20:17:29.000,,,,,,,,,,,,,,,,,,,, +779,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,113,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8092.0,7920.0,https://pypi.org/project/nvidia-ml-py3,349375.0,349412.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,926.0,,,,,3.0,,2017-06-03 07:43:46.000,172.0,,,,,,,,,,,,,,,,,,, +780,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,338.0,58.0,2.0,,6554,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,72.0,79.0,,,,,,,,3.0,295.0,2018-02-17 00:12:46.000,,,,,,,,,,,,,,,,,,,, +781,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,864.0,108.0,51.0,42.0,159.0,6054,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],10.0,10.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +782,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-07-18 18:45:04.000000,2020-04-18 19:15:25,24.0,,720.0,119.0,33.0,27.0,7.0,5967,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],28.0,26.0,https://pypi.org/project/micrograd,682.0,682.0,,,,,,,,3.0,,2020-04-18 19:06:59.000,2.0,,,,,,,,,,,,,,,,,,, +783,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-08-17 12:35:15.000000,2023-08-17 10:01:10,586.0,42.0,335.0,36.0,690.0,149.0,72.0,2411,Scenic: A Jax Library for Computer Vision Research and Beyond.,66.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +784,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,22.0,1004.0,127.0,65.0,1633,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,266.0,266.0,,,,,,,,3.0,,2021-01-25 21:51:16.000,1.0,,,,,,,,,,,,,,,,,,, +785,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,251.0,57.0,65.0,8.0,31.0,1330,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,36.0,36.0,,,,,,,,3.0,,2018-12-05 02:48:50.000,,,,,,,,,,,,,,,,,,,, +786,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-07-25 22:19:06.000000,2023-07-25 22:18:57,423.0,2.0,178.0,61.0,7.0,13.0,29.0,951,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,18,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,110.0,110.0,,,,,,,,3.0,,2020-08-29 18:44:15.000,,,,,,,,,,,,,,,,,,,, +787,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,34.0,15.0,18.0,22.0,785,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,60.0,60.0,,,,,,,,3.0,,2022-01-17 20:35:57.000,1.0,,,,,,,,,,,,,,,,,,, +788,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-04-14 10:59:37.000000,2023-04-14 10:59:37,29.0,,76.0,15.0,31.0,6.0,21.0,765,Leave One Feature Out Importance.,5.0,18,True,2023-04-15 05:47:00.405,0.3.3,13.0,lofo-importance,,,,,29.0,27.0,https://pypi.org/project/lofo-importance,822.0,822.0,,,,,,,,3.0,,2022-04-27 12:56:30.000,2.0,,,,,,,,,,,,,,,,,,, +789,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,733,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],24.0,24.0,https://pypi.org/project/tensor-sensor,2283.0,2397.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2513.0,,,,,3.0,,2021-12-11 21:24:35.000,,,,,,,,,,,,,,,,,,,, +790,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-05-17 01:16:27.000000,2023-05-17 01:16:05,274.0,,104.0,19.0,19.0,,82.0,604,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",9.0,18,True,2023-05-17 01:18:01.881,0.0.71,34.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,4457.0,4457.0,,,,,,,,3.0,,2022-08-16 12:44:30.642,,,,,,,,,,,,,,,,,,,, +791,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-08-08 09:17:25.121000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,593,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,9.0,8.0,https://pypi.org/project/baikal,165.0,55208.0,https://anaconda.org/conda-forge/cython-blis,2023-08-08 09:17:25.121,1926528.0,,,,,3.0,,2020-11-15 13:40:18.000,1.0,,,,,,,,,,,,,,,,,,, +792,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,59.0,72.0,18.0,71.0,523,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,15.0,15.0,https://pypi.org/project/atm,66.0,66.0,,,,,,,,3.0,,2019-07-30 09:25:11.000,,,,,,,,,,,,,,,,,,,, +793,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,61.0,11.0,10.0,21.0,41.0,496,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,38.0,38.0,https://pypi.org/project/fastt5,1445.0,1445.0,,,,,,,,3.0,,2022-04-05 03:23:12.000,,,,,,,,,,,,,,,,,,,, +794,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,451,A High Level API for Deep Learning in JAX.,18.0,18,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,243.0,243.0,,,,,,,,3.0,,2022-04-22 15:42:03.000,,,,,,,,,,,,,,,,,,,, +795,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,87.0,24.0,18.0,7.0,20.0,445,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,149.0,149.0,,,,,,,,3.0,,2021-11-25 23:19:05.000,,,,,,,,,,,,,,,,,,,, +796,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,48.0,18.0,7.0,16.0,4.0,437,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],46.0,46.0,https://pypi.org/project/scikit-tda,4627.0,4627.0,,,,,,,,3.0,,2021-08-03 00:23:20.000,,,,,,,,,,,,,,,,,,,, +797,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-04-03 11:31:55.000000,2023-04-03 11:31:55,66.0,,56.0,8.0,9.0,9.0,13.0,332,TextAugment: Text Augmentation Library.,7.0,18,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,63.0,59.0,https://pypi.org/project/textaugment,3075.0,3076.0,,,,,,,,3.0,61.0,2020-11-05 15:02:11.000,4.0,,,,,,,,,,,,,,,,,,, +798,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,16.0,41.0,324,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,158.0,158.0,,,,,,,,3.0,,2019-11-23 21:32:27.000,4.0,,,,,,,,,,,,,,,,,,, +799,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-08-16 11:29:53.000000,2023-07-29 17:32:55,808.0,20.0,21.0,7.0,67.0,26.0,18.0,311,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,7.0,7.0,https://pypi.org/project/tsflex,324.0,1042.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,17966.0,,,,,3.0,,2022-10-11 21:38:11.312,,,,,,,,,,,,,,,,,,,, +800,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,72.0,19.0,93.0,25.0,18.0,309,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2685.0,2685.0,,,,,,,,3.0,8.0,2019-03-05 01:35:23.000,11.0,,,,,,,,,,,,,,,,,,, +801,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:25:50.000000,2023-01-11 12:11:20,623.0,,37.0,12.0,60.0,3.0,56.0,302,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/ivis,344.0,344.0,,,,,,,,3.0,,2022-03-10 14:57:02.000,2.0,,,,,,,,,,,,,,,,,,, +802,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,,27.0,22.0,239.0,24.0,25.0,300,Textpipe: clean and extract metadata from text.,29.0,18,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,114.0,114.0,,,,,,,,3.0,,2021-01-25 14:05:21.000,1.0,,,,,,,,,,,,,,,,,,, +803,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-07-25 21:26:27.000000,2023-03-31 15:44:32,231.0,,21.0,28.0,52.0,7.0,7.0,100,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,18,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],34.0,34.0,https://pypi.org/project/collie,73.0,73.0,,,,,,,,3.0,,2022-01-18 23:07:16.000,,,,,,,,,,,,,,,,,,,, +804,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,472.0,21.0,59.0,166.0,6904,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,,,,,,,,,,,,,,,,,,,,,, +805,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028.0,119.0,24.0,9.0,352.0,4058,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,17,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +806,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,259.0,52.0,13.0,20.0,13.0,1526,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,55.0,78.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1682.0,3.0,,2018-10-18 02:54:09.000,,,,,,,,,,,,,,,,,,,, +807,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,142.0,17.0,11.0,25.0,18.0,1144,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,True,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],47.0,45.0,https://pypi.org/project/tez,683.0,683.0,,,,,,,,3.0,,2022-09-20 02:28:33.973,2.0,,,,,,,,,,,,,,,,,,, +808,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,85.0,34.0,72.0,25.0,30.0,1087,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,4701.0,4701.0,,,,,,,,3.0,,2021-02-14 02:43:46.000,,,,,,,,,,,,,,,,,,,, +809,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,111.0,21.0,37.0,20.0,8.0,1031,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,62.0,61.0,https://pypi.org/project/fiber,75.0,75.0,,,,,,,,3.0,,2020-07-09 03:28:28.000,1.0,,,,,,,,,,,,,,,,,,, +810,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,145.0,45.0,5.0,2.0,7.0,931,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,164.0,164.0,,,,,,,,3.0,,2021-10-30 06:33:26.000,6.0,,,,,,,,,,,,,,,,,,, +811,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-05-29 09:36:13.000000,2021-10-13 21:05:33,5078.0,,90.0,20.0,58.0,2.0,13.0,707,"A lightweight Computer Vision library. Scale your models, not boilerplate.",,17,False,2021-10-06 07:29:20.000,2.0.3,13.0,caer,,,https://caer.rtfd.io,,,,https://pypi.org/project/caer,2697.0,2697.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,,, +812,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,52.0,13.0,10.0,22.0,17.0,700,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,27.0,27.0,https://pypi.org/project/parallelformers,4172.0,4172.0,,,,,,,,3.0,,2022-07-27 19:52:00.185,,,,,,,,,,,,,,,,,,,, +813,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-07-21 04:27:42.000000,2022-09-13 05:57:00,608.0,,87.0,25.0,4.0,36.0,42.0,671,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,43.0,43.0,,,,,,,,3.0,,2022-09-19 20:15:07.376,,,,,,,,,,,,,,,,,,,, +814,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,,65.0,19.0,21.0,29.0,50.0,666,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,73.0,73.0,,,,,,,,3.0,,2020-06-12 20:05:15.000,,,,,,,,,,,,,,,,,,,, +815,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-05-11 15:22:02.000000,2023-05-11 15:21:58,809.0,,37.0,15.0,16.0,,19.0,573,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2022-09-09 15:00:41.386,3.1.2,26.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,270.0,270.0,,,,,,,,3.0,,2022-05-04 20:51:15.000,,,,,,,,,,,,,,,,,,,, +816,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,117.0,19.0,17.0,67.0,24.0,497,Python package for performing Entity and Text Matching using Deep Learning.,7.0,17,False,,,,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,3054.0,3054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +817,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2022-08-24 08:33:07.000000,2022-08-24 08:31:37,29.0,,57.0,6.0,1.0,2.0,24.0,474,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,17,True,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,15.0,14.0,https://pypi.org/project/shap-hypetune,3074.0,3074.0,,,,,,,,3.0,,2022-08-24 08:33:00.976,1.0,,,,,,,,,,,,,,,,,,, +818,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-08-17 13:52:37.000000,2023-08-04 16:13:45,106.0,20.0,15.0,5.0,31.0,,6.0,389,"Multi-Modal AI inference library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-..",8.0,17,True,2023-08-04 14:09:55.000,0.3.2,15.0,uform,,,,['pytorch'],6.0,6.0,https://pypi.org/project/uform,558.0,558.0,,,,,,,,3.0,,2023-08-04 14:09:55.000,,,,,,,,,,,,,,,,,,,, +819,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-08-17 14:13:27.000000,2023-08-17 14:13:21,120.0,15.0,37.0,19.0,149.0,7.0,62.0,355,A collection of tools for neural compression enthusiasts.,9.0,17,True,2023-06-14 14:03:00.462,0.2.2,4.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,78.0,78.0,,,,,,,,3.0,,2022-01-12 14:55:21.000,,,,,,,,,,,,,,,,,,,, +820,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29.0,11.0,121.0,31.0,150.0,345,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,54.0,54.0,,,,,,,,3.0,,2018-12-07 06:16:42.000,,,,,,,,,,,,,,,,,,,, +821,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,14.0,271.0,70.0,175.0,294,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,17,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,9017.0,9017.0,,,,,,,,3.0,,2020-12-03 23:07:43.000,,,,,,,,,,,,,,,,,,,, +822,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,65.0,28.0,57.0,29.0,32.0,287,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,89.0,92.0,,,,,,,,3.0,142.0,2021-05-15 01:39:45.000,,,,,,,,,,,,,,,,,,,, +823,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-07-24 15:05:59.000000,2023-07-17 09:18:00,166.0,3.0,39.0,20.0,2.0,10.0,7.0,277,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,325.0,2643.0,https://anaconda.org/conda-forge/deepgraph,2023-06-16 13:21:31.322,166918.0,,,,,3.0,,2020-10-01 13:18:38.000,,,,,,,,,,,,,,,,,,,, +824,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,234,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,1997.0,1997.0,,,,,,,,3.0,,2018-03-15 09:05:47.000,,,,,,,,,,,,,,,,,,,, +825,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,1.0,41.0,11.0,59.0,31.0,47.0,225,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],14.0,12.0,https://pypi.org/project/skggm,36.0,36.0,,,,,,,,3.0,,2018-09-12 01:12:49.000,2.0,,,,,,,,,,,,,,,,,,, +826,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,222,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,21.0,19.0,https://pypi.org/project/muda,57.0,57.0,,,,,,,,3.0,,2019-11-15 15:46:21.000,2.0,,,,,,,,,,,,,,,,,,, +827,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-06-18 08:40:33.534000,2023-04-22 13:39:45,369.0,,38.0,6.0,130.0,,35.0,218,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,126.0,259.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2544.0,,,,,3.0,,2021-06-19 15:04:46.000,1.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,, +828,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-08-17 14:26:53.000000,2023-06-16 18:49:30,400.0,1.0,44.0,13.0,67.0,11.0,29.0,209,Represent trained machine learning models as Pyomo optimization formulations.,13.0,17,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,6277.0,6277.0,,,,,,,,3.0,,2022-02-08 01:23:07.000,1.0,,,,,,,,,,,,,,,,,,, +829,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,178.0,110.0,54.0,149.0,3884,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +830,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,944.0,60.0,12.0,42.0,25.0,3385,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +831,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-07-06 21:27:52.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,27.0,217.0,102.0,2854,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,6.0,6.0,,,,,,,,3.0,,2019-04-10 01:53:45.000,,,,,,,,,,,,,,,,,,,, +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,,165.0,61.0,10.0,26.0,6.0,1822,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,24.0,24.0,,,,,,,,3.0,41.0,2019-04-05 06:47:54.000,,,,,,,,,,,,,,,,,,,, +833,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,,114.0,18.0,295.0,4.0,62.0,1008,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,1.0,1.0,,,,,,,,3.0,,2021-04-15 09:35:06.000,,,,,,,,,,,,,,,,,,,, +834,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,19.0,7.0,1.0,10.0,787,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],60.0,59.0,https://pypi.org/project/madgrad,3538.0,3538.0,,,,,,,,3.0,,2022-03-08 18:23:32.000,1.0,,,,,,,,,,,,,,,,,,, +835,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,107.0,27.0,10.0,24.0,51.0,757,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,1581.0,1581.0,,,,,,,,3.0,,2020-09-10 22:52:00.000,2.0,,,,,,,,,,,,,,,,,,, +836,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,,100.0,26.0,101.0,37.0,84.0,701,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,86.0,92.0,,,,,,,,3.0,410.0,2018-06-14 02:21:57.000,1.0,,,,,,,,,,,,,,,,,,, +837,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,3.0,29.0,613,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,11.0,11.0,https://pypi.org/project/textflint,97.0,97.0,,,,,,,,3.0,,2022-03-15 07:18:47.000,,,,,,,,,,,,,,,,,,,, +838,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98.0,38.0,106.0,11.0,51.0,545,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,123.0,127.0,,,,,,,,3.0,220.0,2020-08-19 15:39:10.000,,,,,,,,,vaticle/typedb-ml,,,,,,,,,,, +839,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-08-01 23:06:52.000000,2023-08-01 21:46:06,256.0,2.0,67.0,22.0,85.0,19.0,15.0,484,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,71.0,71.0,,,,,,,,3.0,,2020-09-12 19:41:23.000,,,,,,,,,,,,,,,,,,,, +840,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,1.0,73.0,14.0,126.0,14.0,136.0,440,A Python library for dynamic classifier and ensemble selection.,16.0,16,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],2.0,,https://pypi.org/project/deslib,1049.0,1049.0,,,,,,,,3.0,,2021-02-08 06:29:25.000,2.0,,,,,,,,,,,,,,,,,,, +841,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,364,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,16,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2766.0,2766.0,,,,,,,,3.0,11.0,2021-02-04 16:44:24.000,,,,,,,,,,,,,,,,,,,, +842,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38.0,21.0,5.0,11.0,23.0,351,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,41.0,41.0,,,,,,,,3.0,,2017-03-30 10:51:26.000,2.0,,,,,,,,,,,,,,,,,,, +843,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,,32.0,24.0,21.0,16.0,10.0,346,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,,pdvega,,,,,81.0,81.0,https://pypi.org/project/pdvega,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +844,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,27.0,5.0,4.0,6.0,5.0,199,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],25.0,25.0,https://pypi.org/project/parfit,5193.0,5193.0,,,,,,,,3.0,,2018-10-11 22:03:16.000,,,,,,,,,,,,,,,,,,,, +845,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,,19.0,5.0,2.0,15.0,23.0,181,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],10.0,10.0,https://pypi.org/project/hugsvision,606.0,606.0,,,,,,,,3.0,,2023-01-22 01:21:35.467,,,,,,,,,,,,,,,,,,,, +846,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,6.0,2.0,1.0,5.0,159,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,183.0,183.0,,,,,,,,3.0,,2021-12-07 18:44:34.000,2.0,,,,,,,,,,,,,,,,,,, +847,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,49.0,49.0,,,,,,,,3.0,,2018-11-23 09:49:59.000,5.0,,,,,,,,,,,,,,,,,,, +848,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,947.0,99.0,27.0,16.0,352.0,3508,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +849,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,,423.0,143.0,72.0,12.0,53.0,2185,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +850,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,464.0,81.0,36.0,83.0,68.0,1658,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,15,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +851,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483.0,67.0,26.0,5.0,96.0,1644,An Open-Source Package for Network Embedding (NE).,11.0,15,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +852,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,105.0,57.0,34.0,21.0,13.0,1267,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,20.0,xcessiv,,,,,1.0,1.0,https://pypi.org/project/xcessiv,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +853,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2023-07-18 12:33:22.000000,2022-04-04 08:29:54,41.0,,294.0,53.0,19.0,42.0,85.0,1218,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +854,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-06-12 21:29:28.000000,2021-04-02 03:03:34,211.0,,209.0,40.0,39.0,56.0,34.0,1076,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +855,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-06-16 02:32:11.000000,2022-12-30 06:04:33,733.0,,110.0,28.0,108.0,9.0,22.0,948,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,1.0,1.0,,,,,,,,3.0,,2020-12-23 08:05:25.000,,,,,,,,,,,,,,,,,,,, +856,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,51.0,21.0,15.0,9.0,818,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,70.0,70.0,,,,,,,,3.0,,2018-11-24 00:29:36.000,,,,,,,,,,,,,,,,,,,, +857,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,183.0,44.0,667.0,11.0,27.0,801,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +858,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-04-04 09:45:40.000000,2020-05-29 14:37:29,126.0,,88.0,17.0,15.0,10.0,22.0,711,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,124.0,124.0,,,,,,,,3.0,,2020-05-29 14:38:32.000,,,,,,,,,,,,,,,,,,,, +859,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,40.0,26.0,4.0,4.0,2.0,663,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,112.0,112.0,,,,,,,,3.0,,2020-01-06 05:27:17.000,2.0,,,,,,,,,,,,,,,,,,, +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,,50.0,17.0,83.0,18.0,49.0,535,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,74.0,74.0,,,,,,,,3.0,,2022-05-18 08:35:04.000,,,,,,,,,,,,,,,,,,,, +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,,86.0,21.0,18.0,22.0,2.0,490,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,203.0,203.0,,,,,,,,3.0,,2020-04-24 18:16:15.000,,,,,,,,,,,,,,,,,,,, +862,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,,84.0,37.0,47.0,5.0,12.0,402,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,33.0,33.0,,,,,,,,3.0,,2020-02-18 06:52:11.000,1.0,,,,,,,,,,,,,,,,,,, +863,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,,38.0,16.0,39.0,2.0,13.0,394,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,60.0,60.0,,,,,,,,3.0,,2021-10-22 03:19:11.000,,,,,,,,,,,,,,,,,,,, +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,,56.0,19.0,6.0,6.0,,381,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,46.0,194.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5481.0,,,,,3.0,,2018-08-29 15:14:41.000,1.0,,,,,,,,,,,,,,,,,,, +865,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,,41.0,17.0,7.0,2.0,13.0,231,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,5.0,4.0,https://pypi.org/project/headliner,208.0,208.0,,,,,,,,3.0,,2020-01-24 09:06:29.000,1.0,4.0,,,,,,,,,,,,,,,,,, +866,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-08-03 12:36:25.000000,2023-07-26 09:25:02,818.0,9.0,16.0,8.0,162.0,15.0,20.0,145,Toolkit for developing and maintaining ML models.,14.0,15,False,2023-07-25 13:59:05.000,0.0.29,29.0,modelkit,,,,,,,https://pypi.org/project/modelkit,488.0,488.0,,,,,,,,3.0,,2023-07-25 13:59:05.000,,,,,,,,,,,,,,,,,,,, +867,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,1.0,,125,Data Analysis Baseline Library.,23.0,15,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,1828.0,1828.0,,,,,,,,3.0,,2022-11-03 05:52:04.962,,,,,,,,,,,,,,,,,,,, +868,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,78.0,34.0,116.0,59.0,3112,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +869,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,476.0,110.0,12.0,39.0,8.0,2637,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +870,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,146.0,32.0,,49.0,59.0,1145,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,96.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4654.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +871,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,,40.0,12.0,17.0,2.0,5.0,370,A PyTorch Graph Neural Network Library.,7.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,88.0,88.0,,,,,,,,3.0,,2021-10-21 21:43:04.000,,,,,,,,,,,,,,,,,,,, +872,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,,15.0,11.0,6.0,9.0,6.0,297,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,129.0,129.0,,,,,,,,3.0,,2021-03-08 12:51:05.000,,,,,,,,,,,,,,,,,,,, +873,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,240,"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,209.0,209.0,,,,,,,,3.0,,2021-04-20 13:53:12.000,,,,,,,,,,,,,,,,,,,, +874,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,20.0,8.0,225,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +875,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,25.0,8.0,16.0,4.0,6.0,189,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,14,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,32.0,32.0,,,,,,,,3.0,,2020-12-03 14:17:09.000,,,,,,,,,,,,,,,,,,,, +876,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,,37.0,1.0,,,,157,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,,,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,618.0,618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +877,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-08-07 12:46:14.000000,2023-08-07 12:45:03,300.0,30.0,7.0,8.0,121.0,11.0,6.0,95,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,14,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +878,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,,11.0,7.0,4.0,5.0,13.0,91,A spaCy wrapper for DBpedia Spotlight.,5.0,14,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,1113.0,1113.0,,,,,,,,3.0,,2022-10-07 09:58:11.751,,,,,,,,,,,,,,,,,,,, +879,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,,70.0,46.0,4.0,1.0,,2327,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],,,https://pypi.org/project/ane-transformers,1594.0,1597.0,,,,,,,,3.0,46.0,2022-08-09 04:22:00.465,,,,,,,,,,,,,,,,,,,, +880,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,,396.0,63.0,6.0,62.0,17.0,1677,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,13,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +881,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2022-06-30 14:08:50.000000,2022-06-30 14:05:23,118.0,,169.0,38.0,9.0,13.0,3.0,1308,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +882,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-01-06 03:52:07.000000,2021-12-06 17:38:41,146.0,,66.0,20.0,167.0,87.0,17.0,375,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,False,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,106.0,106.0,,,,,,,,3.0,,2021-12-07 01:57:31.000,,,,,,,,,,,,,,,,,,,, +883,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,35.0,12.0,8.0,9.0,3.0,314,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,1063.0,1063.0,,,,,,,,3.0,,2020-04-17 02:50:25.000,2.0,,,,,,,,,,,,,,,,,,, +884,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 17:32:42.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,3.0,20.0,291,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +885,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,,28.0,8.0,6.0,7.0,8.0,235,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:24:24.000,0.1.9,9.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +886,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-08-16 23:32:18.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1187.0,4.0,10.0,124,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,91.0,102.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,2019-04-09 10:41:20.000,,,,,,,,,,,,,,,,,,,, +887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34.0,14.0,18.0,27.0,16.0,116,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,61.0,61.0,,,,,,,,3.0,,2019-06-10 21:04:04.000,,,,,,,,,,,,,,,,,,,, +888,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,10.0,14.0,26.0,4.0,13.0,83,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,13,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,42.0,42.0,,,,,,,,3.0,,2021-01-25 04:56:57.000,,,,,,,,,,,,,,,,,,,, +889,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,46,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,124.0,124.0,,,,,,,,3.0,,2020-12-14 14:49:33.000,,,,,,,,,,,,,,,,,,,, +890,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,,2.0,3.0,3.0,7.0,6.0,31,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,83.0,83.0,,,,,,,,3.0,,2021-12-23 15:53:08.000,,,,,,,,,,,,,,,,,,,, +891,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,301.0,87.0,11.0,12.0,6.0,1618,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +892,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,1.0,40.0,11.0,7.0,2.0,11.0,608,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,12,True,,,,rliable`,,,,,83.0,83.0,https://pypi.org/project/rliable`,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +893,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42.0,,48.0,16.0,2.0,2.0,1.0,508,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,47.0,47.0,,,,,,,,3.0,,2020-04-09 01:48:32.000,,,,,,,,,,,,,,,,,,,, +894,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-07-11 13:38:58.000000,2023-07-11 13:38:50,71.0,1.0,57.0,17.0,57.0,6.0,9.0,431,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,12,True,,,,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +895,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51.0,,25.0,11.0,14.0,6.0,4.0,215,Draw interactive NetworkX graphs with Altair.,3.0,12,False,,,,nx-altair,,,,['jupyter'],,,https://pypi.org/project/nx-altair,797.0,797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +896,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,198,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,50.0,50.0,,,,,,,,3.0,,2021-03-02 02:40:32.000,,,,,,,,,,,,,,,,,,,, +897,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,,2.0,4.0,116,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,24.0,24.0,,,,,,,,3.0,,2019-10-31 18:03:05.000,,,,,,,,,,,,,,,,,,,, +898,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207.0,,11.0,13.0,5.0,3.0,2.0,108,"Better, faster hyper-parameter optimization.",9.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,30.0,30.0,,,,,,,,3.0,,2019-10-23 15:40:12.000,,,,,,,,,,,,,,,,,,,, +899,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,,8.0,7.0,4.0,14.0,18.0,82,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,50.0,50.0,,,,,,,,3.0,,2021-06-25 14:27:32.000,,,,,,,,,,,,,,,,,,,, +900,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,96.0,17.0,48.0,15.0,3244,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +901,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,951,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +902,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,40.0,7.0,15.0,14.0,912,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +903,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-01-20 01:26:45.000000,2022-11-21 12:12:41,1044.0,,10.0,6.0,25.0,1.0,2.0,245,Maze Applied Reinforcement Learning Framework.,3.0,11,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,63.0,71.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,240.0,3.0,,2021-12-13 16:04:42.000,,,,,,,,,,,,,,,,,,,, +904,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,,69.0,18.0,5.0,2.0,12.0,490,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +905,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-11 10:14:28.000000,2022-03-31 17:27:57,13.0,,42.0,12.0,9.0,7.0,9.0,431,Library for Textless Spoken Language Processing.,4.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +906,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,358,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +907,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24.0,17.0,51.0,11.0,1.0,129,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,18.0,18.0,,,,,,,,3.0,,2020-07-16 05:36:19.000,,,,,,,,,,,,,,,,,,,, +908,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,43,,4.0,10,False,2021-04-22 15:15:27.000,0.0.12,10.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +909,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,,10.0,10.0,44.0,,2.0,136,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,31.0,31.0,,,,,,,,3.0,,2020-01-26 23:08:16.000,,,,,,,,,,,,,,,,,,,, +910,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,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,23.0,23.0,,,,,,,,3.0,,2020-11-02 02:25:32.000,,,,,,,,,,,,,,,,,,,, +911,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,,,,,,1,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,9,False,,,,sklearn-evaluation,,,,['sklearn'],,,https://pypi.org/project/sklearn-evaluation,4891.0,4891.0,,,,,,,,3.0,,,,-10.0,,,,,,,,,,,,,,,,,, +912,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,24.0,7.0,2.0,2.0,6.0,133,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,19.0,19.0,,,,,,,,3.0,,2020-03-13 20:31:47.000,,,,,,,,,,,,,,,,,,,, +913,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,2.0,4.0,,,,48,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,15.0,15.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,2022-11-22 17:50:34.944,1.0,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index f950b641..79fcae04 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,36 +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._ -- torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- PaddleOCR (πŸ₯‡38 Β· ⭐ 32K Β· πŸ“ˆ) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- InsightFace (πŸ₯‡36 Β· ⭐ 17K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- opencv-python (πŸ₯ˆ34 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- Tesseract (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 -- audiomentations (πŸ₯ˆ29 Β· ⭐ 1.5K Β· πŸ“ˆ) - A Python library for audio data augmentation. Inspired by.. MIT -- Augmentor (πŸ₯‰27 Β· ⭐ 4.9K Β· πŸ“ˆ) - Image augmentation library in Python for machine learning. MIT -- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- happy-transformer (πŸ₯‰27 Β· ⭐ 450 Β· πŸ“ˆ) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +- Bokeh (πŸ₯‡45 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +- Plotly (πŸ₯‡39 Β· ⭐ 14K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +- CuPy (πŸ₯‡38 Β· ⭐ 7.1K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT +- Tokenizers (πŸ₯‡37 Β· ⭐ 7.4K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +- ivy (πŸ₯ˆ36 Β· ⭐ 13K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +- category_encoders (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- mljar-supervised (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ“ˆ) - Python package for AutoML on Tabular Data with Feature.. MIT +- TFX (πŸ₯ˆ31 Β· ⭐ 2K Β· πŸ“ˆ) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +- litellm (πŸ₯‰24 Β· ⭐ 580 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT ## 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._ -- scipy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- Bokeh (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“‰) - Interactive Data Visualization in the browser, from Python. BSD-3 -- Plotly (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ“‰) - The interactive graphing library for Python This project now includes.. MIT -- ivy (πŸ₯ˆ32 Β· ⭐ 13K Β· πŸ“‰) - Unified AI. ❗Unlicensed -- HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 -- CuPy (πŸ₯‰26 Β· ⭐ 7.1K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- pythreejs (πŸ₯‰25 Β· ⭐ 880 Β· πŸ“‰) - A Jupyter - Three.js bridge. ❗Unlicensed -- DeepMatcher (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- nx-altair (πŸ₯‰12 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed - -## βž• Added Projects - -_Projects that were recently added to this best-of list._ - -- Determined (πŸ₯‰30 Β· ⭐ 2.4K Β· βž•) - Determined is a deep-learning platform that.. Apache-2 -- litellm (πŸ₯‰21 Β· ⭐ 230 Β· 🐣) - lightweight package to simplify LLM API calls -.. MIT o t h e r s +- torchvision (πŸ₯‡38 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- InsightFace (πŸ₯ˆ32 Β· ⭐ 17K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ“‰) - A library for transfer learning by reusing parts of.. Apache-2 +- opencv-python (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Tesseract (πŸ₯‰27 Β· ⭐ 5K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +- DeepSpeech (πŸ₯‰24 Β· ⭐ 22K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Augmentor (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ“‰) - Image augmentation library in Python for machine learning. MIT +- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed +- TensorForce (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ“‰) - Tensorforce: a TensorFlow library for applied.. Apache-2 +- sklearn-evaluation (πŸ₯‰9 Β· ⭐ 1 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT