diff --git a/README.md b/README.md
index 30309765..857b3023 100644
--- a/README.md
+++ b/README.md
@@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇55 · ⭐ 170K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.3K · 🔀 88K · 📦 260K · 📋 37K - 6% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.3K · 🔀 88K · 📦 260K · 📋 37K - 6% open · ⏱️ 23.03.2023):
```
git clone https://github.com/tensorflow/tensorflow
@@ -110,23 +110,23 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 4M · ⏱️ 08.01.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 4M · ⏱️ 23.03.2023):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 72M · ⭐ 2.1K · ⏱️ 16.03.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 72M · ⭐ 2.1K · ⏱️ 23.03.2023):
```
docker pull tensorflow/tensorflow
```
scikit-learn (🥇52 · ⭐ 53K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 2.9K · 🔀 24K · 📥 850 · 📦 480K · 📋 11K - 20% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 2.9K · 🔀 24K · 📥 850 · 📦 490K · 📋 11K - 20% open · ⏱️ 23.03.2023):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (📥 38M / month · 📦 28K · ⏱️ 24.01.2023):
+- [PyPi](https://pypi.org/project/scikit-learn) (📥 39M / month · 📦 28K · ⏱️ 24.01.2023):
```
pip install scikit-learn
```
@@ -137,28 +137,28 @@ _General-purpose machine learning and deep learning frameworks._
PyTorch (🥇50 · ⭐ 64K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (👨💻 3.9K · 🔀 18K · 📥 12K · 📋 33K - 34% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pytorch/pytorch) (👨💻 3.9K · 🔀 18K · 📥 12K · 📋 33K - 34% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (📥 9M / month · 📦 9.1K · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/torch) (📥 9.4M / month · 📦 9.1K · ⏱️ 15.12.2022):
```
pip install torch
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (📥 14M · ⏱️ 14.03.2023):
+- [Conda](https://anaconda.org/pytorch/pytorch) (📥 15M · ⏱️ 14.03.2023):
```
conda install -c pytorch pytorch
```
Keras (🥇45 · ⭐ 58K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (👨💻 1.2K · 🔀 19K · 📋 12K - 3% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/keras-team/keras) (👨💻 1.2K · 🔀 19K · 📋 12K - 3% open · ⏱️ 22.03.2023):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (📥 11M / month · 📦 510 · ⏱️ 23.02.2023):
+- [PyPi](https://pypi.org/project/keras) (📥 11M / month · 📦 550 · ⏱️ 23.02.2023):
```
pip install keras
```
@@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (🥇45 · ⭐ 35K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (👨💻 2.8K · 🔀 27K · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/apache/spark) (👨💻 2.8K · 🔀 27K · ⏱️ 23.03.2023):
```
git clone https://github.com/apache/spark
@@ -185,55 +185,55 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (🥇45 · ⭐ 8.3K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 410 · 🔀 2.7K · 📥 27 · 📦 87K · 📋 5.2K - 49% open · ⏱️ 26.02.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 410 · 🔀 2.7K · 📥 27 · 📦 88K · 📋 5.2K - 49% open · ⏱️ 19.03.2023):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (📥 9.1M / month · 📦 5K · ⏱️ 02.11.2022):
+- [PyPi](https://pypi.org/project/statsmodels) (📥 9.3M / month · 📦 5K · ⏱️ 02.11.2022):
```
pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 9M · ⏱️ 04.11.2022):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 9.1M · ⏱️ 04.11.2022):
```
conda install -c conda-forge statsmodels
```
XGBoost (🥈44 · ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (👨💻 600 · 🔀 8.6K · 📥 6.2K · 📦 50K · 📋 4.8K - 7% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (👨💻 600 · 🔀 8.6K · 📥 6.2K · 📦 50K · 📋 4.8K - 7% open · ⏱️ 23.03.2023):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (📥 9.2M / month · 📦 1.5K · ⏱️ 06.01.2023):
+- [PyPi](https://pypi.org/project/xgboost) (📥 9.1M / month · 📦 1.5K · ⏱️ 06.01.2023):
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 3.7M · ⏱️ 07.11.2022):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 3.7M · ⏱️ 17.03.2023):
```
conda install -c conda-forge xgboost
```
jax (🥈43 · ⭐ 22K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/google/jax) (👨💻 520 · 🔀 2.1K · 📦 8.9K · 📋 4.2K - 30% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/google/jax) (👨💻 520 · 🔀 2.1K · 📦 9K · 📋 4.3K - 31% open · ⏱️ 23.03.2023):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (📥 1.6M / month · 📦 550 · ⏱️ 25.01.2023):
+- [PyPi](https://pypi.org/project/jax) (📥 1.9M / month · 📦 560 · ⏱️ 25.01.2023):
```
pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 640K · ⏱️ 12.03.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 650K · ⏱️ 12.03.2023):
```
conda install -c conda-forge jaxlib
```
LightGBM (🥈43 · ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 280 · 🔀 3.7K · 📥 180K · 📦 20K · 📋 3K - 8% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 280 · 🔀 3.7K · 📥 180K · 📦 20K · 📋 3K - 8% open · ⏱️ 23.03.2023):
```
git clone https://github.com/microsoft/LightGBM
@@ -249,35 +249,35 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (🥈42 · ⭐ 22K) - Deep learning framework to train, deploy, and ship AI.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/lightning) (👨💻 840 · 🔀 2.8K · 📥 11K · 📋 6K - 11% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/Lightning-AI/lightning) (👨💻 840 · 🔀 2.8K · 📥 11K · 📋 6K - 11% open · ⏱️ 21.03.2023):
```
git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4M / month · 📦 590 · ⏱️ 18.01.2023):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4.2M / month · 📦 590 · ⏱️ 18.01.2023):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 730K · ⏱️ 15.03.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 740K · ⏱️ 16.03.2023):
```
conda install -c conda-forge pytorch-lightning
```
PaddlePaddle (🥈42 · ⭐ 20K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 970 · 🔀 5K · 📥 15K · 📦 210 · 📋 17K - 11% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 980 · 🔀 5K · 📥 15K · 📦 210 · 📋 17K - 11% open · ⏱️ 23.03.2023):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (📥 95K / month · 📦 70 · ⏱️ 17.02.2023):
+- [PyPi](https://pypi.org/project/paddlepaddle) (📥 110K / month · 📦 70 · ⏱️ 17.02.2023):
```
pip install paddlepaddle
```
Catboost (🥈42 · ⭐ 7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (👨💻 1.1K · 🔀 1.1K · 📥 130K · 📋 2K - 24% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/catboost/catboost) (👨💻 1.1K · 🔀 1.1K · 📥 130K · 📋 2K - 24% open · ⏱️ 23.03.2023):
```
git clone https://github.com/catboost/catboost
@@ -293,35 +293,35 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (🥈40 · ⭐ 24K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (👨💻 650 · 🔀 7.4K · 📦 13K · 📋 1.7K - 8% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/fastai/fastai) (👨💻 650 · 🔀 7.4K · 📦 13K · 📋 1.7K - 8% open · ⏱️ 21.03.2023):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (📥 390K / month · 📦 330 · ⏱️ 15.02.2023):
+- [PyPi](https://pypi.org/project/fastai) (📥 400K / month · 📦 330 · ⏱️ 15.02.2023):
```
pip install fastai
```
MXNet (🥈40 · ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 
-- [GitHub](https://github.com/apache/mxnet) (👨💻 980 · 🔀 6.9K · 📥 26K · 📦 6.2K · 📋 9.5K - 18% open · ⏱️ 26.01.2023):
+- [GitHub](https://github.com/apache/mxnet) (👨💻 980 · 🔀 6.9K · 📥 26K · 📦 6.2K · 📋 9.6K - 18% open · ⏱️ 26.01.2023):
```
git clone https://github.com/apache/incubator-mxnet
```
-- [PyPi](https://pypi.org/project/mxnet) (📥 520K / month · 📦 290 · ⏱️ 17.05.2022):
+- [PyPi](https://pypi.org/project/mxnet) (📥 530K / month · 📦 290 · ⏱️ 17.05.2022):
```
pip install mxnet
```
-- [Conda](https://anaconda.org/anaconda/mxnet) (📥 9K · 📦 5 · ⏱️ 24.10.2022):
+- [Conda](https://anaconda.org/anaconda/mxnet) (📥 9.1K · 📦 5 · ⏱️ 24.10.2022):
```
conda install -c anaconda mxnet
```
Jina (🥈39 · ⭐ 18K) - Build multimodal AI services via cloud native technologies Neural Search.. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (👨💻 160 · 🔀 2.1K · 📦 460 · 📋 1.8K - 2% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/jina-ai/jina) (👨💻 160 · 🔀 2.1K · 📦 460 · 📋 1.8K - 2% open · ⏱️ 20.03.2023):
```
git clone https://github.com/jina-ai/jina
@@ -330,23 +330,23 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 38K · ⏱️ 16.08.2022):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 39K · ⏱️ 16.08.2022):
```
conda install -c conda-forge jina-core
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.2M · ⭐ 8 · ⏱️ 15.03.2023):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.2M · ⭐ 8 · ⏱️ 20.03.2023):
```
docker pull jinaai/jina
```
PyFlink (🥈37 · ⭐ 21K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (👨💻 1.7K · 🔀 12K · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/apache/flink) (👨💻 1.7K · 🔀 12K · ⏱️ 23.03.2023):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (📥 63K / month · 📦 22 · ⏱️ 30.01.2023):
+- [PyPi](https://pypi.org/project/apache-flink) (📥 69K / month · 📦 22 · ⏱️ 30.01.2023):
```
pip install apache-flink
```
@@ -369,12 +369,12 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (🥈37 · ⭐ 8.2K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 330 · 🔀 1.9K · 📋 1.2K - 10% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 330 · 🔀 1.9K · 📋 1.2K - 10% open · ⏱️ 20.03.2023):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 93K / month · 📦 32 · ⏱️ 09.11.2022):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 110K / month · 📦 32 · ⏱️ 09.11.2022):
```
pip install vowpalwabbit
```
@@ -385,12 +385,12 @@ _General-purpose machine learning and deep learning frameworks._
Flax (🥈37 · ⭐ 4.1K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (👨💻 190 · 🔀 490 · 📥 42 · 📦 2.5K · 📋 710 - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/google/flax) (👨💻 190 · 🔀 490 · 📥 42 · 📦 2.6K · 📋 720 - 18% open · ⏱️ 22.03.2023):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (📥 530K / month · 📦 140 · ⏱️ 26.01.2023):
+- [PyPi](https://pypi.org/project/flax) (📥 570K / month · 📦 140 · ⏱️ 26.01.2023):
```
pip install flax
```
@@ -401,7 +401,7 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (🥈36 · ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (👨💻 61 · 🔀 270 · 📦 29K · 📋 140 - 16% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/explosion/thinc) (👨💻 61 · 🔀 270 · 📦 29K · 📋 140 - 17% open · ⏱️ 21.03.2023):
```
git clone https://github.com/explosion/thinc
@@ -415,22 +415,34 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge thinc
```
einops (🥈34 · ⭐ 6.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
+einops (🥈35 · ⭐ 6.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 23 · 🔀 280 · 📦 8.2K · 📋 140 - 26% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 23 · 🔀 290 · 📦 8.5K · 📋 140 - 26% open · ⏱️ 16.03.2023):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (📥 3.1M / month · 📦 290 · ⏱️ 09.11.2022):
+- [PyPi](https://pypi.org/project/einops) (📥 3.3M / month · 📦 290 · ⏱️ 09.11.2022):
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (📥 80K · ⏱️ 09.12.2022):
+- [Conda](https://anaconda.org/conda-forge/einops) (📥 82K · ⏱️ 09.12.2022):
```
conda install -c conda-forge einops
```
ivy (🥉33 · ⭐ 9.7K) - The Unified Machine Learning Framework. Apache-2
+
+- [GitHub](https://github.com/unifyai/ivy) (👨💻 850 · 🔀 3.5K · 📋 7K - 21% open · ⏱️ 23.03.2023):
+
+ ```
+ git clone https://github.com/unifyai/ivy
+ ```
+- [PyPi](https://pypi.org/project/ivy-core) (📥 510 / month · 📦 6 · ⏱️ 01.06.2022):
+ ```
+ pip install ivy-core
+ ```
+Sonnet (🥉33 · ⭐ 9.5K) - TensorFlow-based neural network library. Apache-2
- [GitHub](https://github.com/deepmind/sonnet) (👨💻 56 · 🔀 1.4K · 📦 1K · 📋 190 - 17% open · ⏱️ 23.02.2023):
@@ -438,7 +450,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (📥 28K / month · 📦 53 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/dm-sonnet) (📥 25K / month · 📦 53 · ⏱️ 15.12.2022):
```
pip install dm-sonnet
```
@@ -447,26 +459,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
ivy (🥉33 · ⭐ 9.5K) - The Unified Machine Learning Framework. Apache-2
-
-- [GitHub](https://github.com/unifyai/ivy) (👨💻 830 · 🔀 3.4K · 📋 6.7K - 19% open · ⏱️ 16.03.2023):
-
- ```
- git clone https://github.com/unifyai/ivy
- ```
-- [PyPi](https://pypi.org/project/ivy-core) (📥 400 / month · 📦 6 · ⏱️ 01.06.2022):
- ```
- pip install ivy-core
- ```
-Ludwig (🥉33 · ⭐ 8.8K) - Data-centric declarative deep learning framework. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 130 · 🔀 1K · 📦 160 · 📋 950 - 27% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 130 · 🔀 1K · 📦 160 · 📋 950 - 27% open · ⏱️ 22.03.2023):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (📥 3.3K / month · 📦 9 · ⏱️ 28.10.2022):
+- [PyPi](https://pypi.org/project/ludwig) (📥 3.1K / month · 📦 9 · ⏱️ 28.10.2022):
```
pip install ludwig
```
@@ -478,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/chainer/chainer
```
-- [PyPi](https://pypi.org/project/chainer) (📥 21K / month · 📦 400 · ⏱️ 05.01.2022):
+- [PyPi](https://pypi.org/project/chainer) (📥 22K / month · 📦 400 · ⏱️ 05.01.2022):
```
pip install chainer
```
@@ -489,12 +489,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (🥉33 · ⭐ 4.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (👨💻 300 · 🔀 1.5K · 📋 1.5K - 3% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/mlpack/mlpack) (👨💻 300 · 🔀 1.5K · 📋 1.5K - 3% open · ⏱️ 19.03.2023):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (📥 2.8K / month · 📦 1 · ⏱️ 29.12.2022):
+- [PyPi](https://pypi.org/project/mlpack) (📥 2.3K / month · 📦 1 · ⏱️ 29.12.2022):
```
pip install mlpack
```
@@ -503,6 +503,18 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge mlpack
```
tensorflow-upstream (🥉33 · ⭐ 630) - TensorFlow ROCm port. Apache-2
+
+- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨💻 4.3K · 🔀 74 · 📥 21 · 📋 350 - 21% open · ⏱️ 23.03.2023):
+
+ ```
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 3.8K / month · 📦 5 · ⏱️ 06.12.2022):
+ ```
+ pip install tensorflow-rocm
+ ```
+tensorpack (🥉32 · ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
- [GitHub](https://github.com/tensorpack/tensorpack) (👨💻 58 · 🔀 1.9K · 📥 150 · 📦 1.2K · 📋 1.4K - 0% open · ⏱️ 26.11.2022):
@@ -510,23 +522,23 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/tensorpack/tensorpack
```
-- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 47 · ⏱️ 22.01.2021):
+- [PyPi](https://pypi.org/project/tensorpack) (📥 15K / month · 📦 47 · ⏱️ 22.01.2021):
```
pip install tensorpack
```
-- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 8.2K · ⏱️ 06.02.2022):
+- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 8.3K · ⏱️ 06.02.2022):
```
conda install -c conda-forge tensorpack
```
Ignite (🥉32 · ⭐ 4.2K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (👨💻 190 · 🔀 590 · 📋 1.2K - 12% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/pytorch/ignite) (👨💻 190 · 🔀 590 · 📋 1.2K - 12% open · ⏱️ 21.03.2023):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 98K / month · 📦 33 · ⏱️ 08.11.2022):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 98K / month · 📦 39 · ⏱️ 08.11.2022):
```
pip install pytorch-ignite
```
@@ -537,7 +549,7 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (🥉32 · ⭐ 2.4K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/deepmind/dm-haiku) (👨💻 72 · 🔀 200 · 📦 1.1K · 📋 240 - 36% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/deepmind/dm-haiku) (👨💻 73 · 🔀 200 · 📦 1.1K · 📋 240 - 36% open · ⏱️ 22.03.2023):
```
git clone https://github.com/deepmind/dm-haiku
@@ -546,23 +558,11 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install dm-haiku
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 9.4K · ⏱️ 21.09.2022):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 9.5K · ⏱️ 21.09.2022):
```
conda install -c conda-forge dm-haiku
```
tensorflow-upstream (🥉32 · ⭐ 630) - TensorFlow ROCm port. Apache-2
-
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨💻 4.3K · 🔀 74 · 📥 21 · 📋 340 - 20% open · ⏱️ 08.03.2023):
-
- ```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
- ```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 2.3K / month · 📦 5 · ⏱️ 06.12.2022):
- ```
- pip install tensorflow-rocm
- ```
-CNTK (🥉31 · ⭐ 17K) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
- [GitHub](https://github.com/microsoft/CNTK) (👨💻 270 · 🔀 4.4K · 📥 14K · 📋 3.4K - 24% open · ⏱️ 23.09.2022):
@@ -570,19 +570,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/microsoft/CNTK
```
-- [PyPi](https://pypi.org/project/cntk) (📥 710 / month · 📦 18 · ⏱️ 09.12.2020):
+- [PyPi](https://pypi.org/project/cntk) (📥 760 / month · 📦 18 · ⏱️ 09.12.2020):
```
pip install cntk
```
skorch (🥉30 · ⭐ 5.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 54 · 🔀 340 · 📦 790 · 📋 470 - 12% open · ⏱️ 13.02.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 55 · 🔀 340 · 📦 790 · 📋 470 - 12% open · ⏱️ 21.03.2023):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (📥 62K / month · 📦 45 · ⏱️ 18.11.2022):
+- [PyPi](https://pypi.org/project/skorch) (📥 65K / month · 📦 45 · ⏱️ 18.11.2022):
```
pip install skorch
```
@@ -593,19 +593,19 @@ _General-purpose machine learning and deep learning frameworks._
Neural Network Libraries (🥉30 · ⭐ 2.6K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (👨💻 71 · 🔀 330 · 📥 560 · 📋 89 - 35% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/sony/nnabla) (👨💻 72 · 🔀 330 · 📥 560 · 📋 89 - 35% open · ⏱️ 23.03.2023):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (📥 4.6K / month · 📦 53 · ⏱️ 14.02.2023):
+- [PyPi](https://pypi.org/project/nnabla) (📥 4.4K / month · 📦 53 · ⏱️ 14.02.2023):
```
pip install nnabla
```
ktrain (🥉30 · ⭐ 1.1K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (👨💻 15 · 🔀 260 · 📦 400 · ⏱️ 06.02.2023):
+- [GitHub](https://github.com/amaiya/ktrain) (👨💻 15 · 🔀 260 · 📦 400 · 📋 450 - 0% open · ⏱️ 22.03.2023):
```
git clone https://github.com/amaiya/ktrain
@@ -615,14 +615,14 @@ _General-purpose machine learning and deep learning frameworks._
pip install ktrain
```
dyNET (🥉29 · ⭐ 3.3K · 💤) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+dyNET (🥉29 · ⭐ 3.4K · 💤) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- [GitHub](https://github.com/clab/dynet) (👨💻 160 · 🔀 700 · 📥 9.6K · 📦 240 · 📋 930 - 28% open · ⏱️ 14.08.2022):
+- [GitHub](https://github.com/clab/dynet) (👨💻 160 · 🔀 700 · 📥 9.7K · 📦 240 · 📋 930 - 28% open · ⏱️ 14.08.2022):
```
git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/dyNET) (📥 2.9K / month · 📦 28 · ⏱️ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (📥 3.2K / month · 📦 28 · ⏱️ 21.10.2020):
```
pip install dyNET
```
@@ -634,19 +634,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.7K / month · 📦 1 · ⏱️ 19.09.2022):
+- [PyPi](https://pypi.org/project/neural-tangents) (📥 4K / month · 📦 1 · ⏱️ 19.09.2022):
```
pip install neural-tangents
```
Towhee (🥉27 · ⭐ 1.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (👨💻 29 · 🔀 190 · 📥 1.1K · 📋 580 - 1% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/towhee-io/towhee) (👨💻 29 · 🔀 190 · 📥 1.1K · 📋 590 - 1% open · ⏱️ 23.03.2023):
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (📥 1.4K / month · ⏱️ 02.12.2022):
+- [PyPi](https://pypi.org/project/towhee) (📥 1.7K / month · ⏱️ 02.12.2022):
```
pip install towhee
```
@@ -658,11 +658,11 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (📥 1.4K / month · 📦 2 · ⏱️ 22.04.2022):
+- [PyPi](https://pypi.org/project/geomstats) (📥 1.7K / month · 📦 2 · ⏱️ 22.04.2022):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 1K · ⏱️ 01.06.2022):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 1.1K · ⏱️ 01.06.2022):
```
conda install -c conda-forge geomstats
```
@@ -674,36 +674,36 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/aksnzhy/xlearn
```
-- [PyPi](https://pypi.org/project/xlearn) (📥 3K / month · 📦 12 · ⏱️ 04.12.2018):
+- [PyPi](https://pypi.org/project/xlearn) (📥 3.1K / month · 📦 12 · ⏱️ 04.12.2018):
```
pip install xlearn
```
fklearn (🥉24 · ⭐ 1.4K) - fklearn: Functional Machine Learning. Apache-2
+NeuPy (🥉24 · ⭐ 740) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
-- [GitHub](https://github.com/nubank/fklearn) (👨💻 50 · 🔀 160 · 📦 13 · 📋 61 - 62% open · ⏱️ 21.10.2022):
+- [GitHub](https://github.com/itdxer/neupy) (👨💻 8 · 🔀 160 · 📦 140 · 📋 270 - 12% open · ⏱️ 03.01.2023):
```
- git clone https://github.com/nubank/fklearn
+ git clone https://github.com/itdxer/neupy
```
-- [PyPi](https://pypi.org/project/fklearn) (📥 3.3K / month · ⏱️ 06.09.2022):
+- [PyPi](https://pypi.org/project/neupy) (📥 5K / month · 📦 12 · ⏱️ 04.04.2019):
```
- pip install fklearn
+ pip install neupy
```
NeuPy (🥉24 · ⭐ 740) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+fklearn (🥉23 · ⭐ 1.4K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/itdxer/neupy) (👨💻 8 · 🔀 160 · 📦 140 · 📋 270 - 12% open · ⏱️ 03.01.2023):
+- [GitHub](https://github.com/nubank/fklearn) (👨💻 51 · 🔀 160 · 📦 13 · 📋 62 - 61% open · ⏱️ 21.03.2023):
```
- git clone https://github.com/itdxer/neupy
+ git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/neupy) (📥 5.5K / month · 📦 12 · ⏱️ 04.04.2019):
+- [PyPi](https://pypi.org/project/fklearn) (📥 3.2K / month · ⏱️ 06.09.2022):
```
- pip install neupy
+ pip install fklearn
```
mace (🥉22 · ⭐ 4.7K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+mace (🥉22 · ⭐ 4.8K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
- [GitHub](https://github.com/XiaoMi/mace) (👨💻 67 · 🔀 810 · 📥 1.5K · 📋 670 - 8% open · ⏱️ 30.05.2022):
@@ -718,7 +718,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/objax) (📥 440 / month · 📦 3 · ⏱️ 31.01.2022):
+- [PyPi](https://pypi.org/project/objax) (📥 410 / month · 📦 3 · ⏱️ 31.01.2022):
```
pip install objax
```
@@ -730,19 +730,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (📥 450 / month · ⏱️ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (📥 460 / month · ⏱️ 13.03.2020):
```
pip install thundersvm
```
NeoML (🥉20 · ⭐ 710) - Machine learning framework for both deep learning and traditional.. Apache-2
+NeoML (🥉20 · ⭐ 720) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 33 · 🔀 110 · 📋 83 - 40% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 33 · 🔀 110 · 📋 83 - 40% open · ⏱️ 22.03.2023):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (📥 100 / month · ⏱️ 07.09.2022):
+- [PyPi](https://pypi.org/project/neoml) (📥 94 / month · ⏱️ 07.09.2022):
```
pip install neoml
```
@@ -754,7 +754,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (📥 1.2K / month · ⏱️ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (📥 1.4K / month · ⏱️ 16.02.2022):
```
pip install chefboost
```
@@ -766,7 +766,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/poets-ai/elegy
```
-- [PyPi](https://pypi.org/project/elegy) (📥 1.1K / month · ⏱️ 22.04.2022):
+- [PyPi](https://pypi.org/project/elegy) (📥 1K / month · ⏱️ 22.04.2022):
```
pip install elegy
```
@@ -778,15 +778,15 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (📥 180 / month · ⏱️ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (📥 170 / month · ⏱️ 19.09.2022):
```
pip install thundergbm
```
Show 10 hidden projects...
-- dlib (🥈38 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
-- MindsDB (🥈35 · ⭐ 14K) - An emerging platform to help developers build #AI solutions. ❗️GPL-3.0 ❗️BSL-1.0
+- MindsDB (🥈35 · ⭐ 14K) - A low-code Machine Learning platform to help developers build.. ❗️GPL-3.0 BSD-3
- TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT ❗️AGPL-3.0
@@ -806,12 +806,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇50 · ⭐ 17K) - matplotlib: plotting with Python. Python-2.0
-- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.5K · 🔀 6.8K · 📦 770K · 📋 9.7K - 19% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.5K · 🔀 6.8K · 📦 780K · 📋 9.7K - 19% open · ⏱️ 23.03.2023):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (📥 34M / month · 📦 59K · ⏱️ 25.01.2023):
+- [PyPi](https://pypi.org/project/matplotlib) (📥 35M / month · 📦 59K · ⏱️ 25.01.2023):
```
pip install matplotlib
```
@@ -822,7 +822,7 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (🥇43 · ⭐ 17K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (👨💻 640 · 🔀 4.1K · 📦 200 · 📋 7.2K - 9% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/bokeh/bokeh) (👨💻 640 · 🔀 4.1K · 📦 200 · 📋 7.3K - 9% open · ⏱️ 23.03.2023):
```
git clone https://github.com/bokeh/bokeh
@@ -838,12 +838,12 @@ _General-purpose and task-specific data visualization libraries._
Seaborn (🥇43 · ⭐ 10K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 190 · 🔀 1.7K · 📥 240 · 📦 230K · 📋 2.3K - 5% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 190 · 🔀 1.7K · 📥 240 · 📦 240K · 📋 2.3K - 5% open · ⏱️ 20.03.2023):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (📥 9.3M / month · 📦 10K · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/seaborn) (📥 9.4M / month · 📦 10K · ⏱️ 02.01.2023):
```
pip install seaborn
```
@@ -854,12 +854,12 @@ _General-purpose and task-specific data visualization libraries._
Plotly (🥇42 · ⭐ 13K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (👨💻 220 · 🔀 2.3K · 📦 18 · 📋 2.6K - 50% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (👨💻 220 · 🔀 2.3K · 📦 18 · 📋 2.6K - 50% open · ⏱️ 17.03.2023):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (📥 8.1M / month · 📦 4.6K · ⏱️ 23.01.2023):
+- [PyPi](https://pypi.org/project/plotly) (📥 8.2M / month · 📦 4.6K · ⏱️ 23.01.2023):
```
pip install plotly
```
@@ -867,14 +867,14 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (📥 46K / month · 📦 6 · ⏱️ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (📥 47K / month · 📦 6 · ⏱️ 12.01.2021):
```
npm install plotlywidget
```
Altair (🥇41 · ⭐ 8.1K · 📈) - Declarative statistical visualization library for Python. BSD-3
+Altair (🥇42 · ⭐ 8.1K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (👨💻 150 · 🔀 700 · 📥 19 · 📦 48K · 📋 1.8K - 14% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/altair-viz/altair) (👨💻 150 · 🔀 700 · 📥 21 · 📦 49K · 📋 1.8K - 13% open · ⏱️ 22.03.2023):
```
git clone https://github.com/altair-viz/altair
@@ -890,16 +890,16 @@ _General-purpose and task-specific data visualization libraries._
dash (🥇40 · ⭐ 18K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (👨💻 130 · 🔀 1.9K · 📦 43K · 📋 1.5K - 48% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/plotly/dash) (👨💻 130 · 🔀 1.9K · 📦 43K · 📋 1.5K - 48% open · ⏱️ 17.03.2023):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (📥 1.3M / month · 📦 1.3K · ⏱️ 30.01.2023):
+- [PyPi](https://pypi.org/project/dash) (📥 1.4M / month · 📦 1.3K · ⏱️ 30.01.2023):
```
pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/dash) (📥 860K · ⏱️ 31.01.2023):
+- [Conda](https://anaconda.org/conda-forge/dash) (📥 870K · ⏱️ 18.03.2023):
```
conda install -c conda-forge dash
```
@@ -911,14 +911,14 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (📥 110K / month · 📦 230 · ⏱️ 09.01.2023):
+- [PyPi](https://pypi.org/project/pyecharts) (📥 100K / month · 📦 230 · ⏱️ 09.01.2023):
```
pip install pyecharts
```
PyQtGraph (🥈36 · ⭐ 3.2K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 250 · 🔀 990 · 📋 1.2K - 30% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 250 · 🔀 990 · 📋 1.2K - 30% open · ⏱️ 18.03.2023):
```
git clone https://github.com/pyqtgraph/pyqtgraph
@@ -934,12 +934,12 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (🥈36 · ⭐ 2.7K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 76 · 🔀 320 · 📦 260 · 📋 1.2K - 36% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 76 · 🔀 320 · 📦 270 · 📋 1.2K - 35% open · ⏱️ 22.03.2023):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (📥 280K / month · 📦 5 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (📥 290K / month · 📦 5 · ⏱️ 04.01.2023):
```
pip install fiftyone
```
@@ -951,7 +951,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (📥 510K / month · 📦 240 · ⏱️ 16.01.2023):
+- [PyPi](https://pypi.org/project/holoviews) (📥 490K / month · 📦 240 · ⏱️ 16.01.2023):
```
pip install holoviews
```
@@ -959,23 +959,23 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 920 / month · 📦 2 · ⏱️ 24.05.2020):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 910 / month · 📦 2 · ⏱️ 24.05.2020):
```
npm install @pyviz/jupyterlab_pyviz
```
PyVista (🥈35 · ⭐ 1.7K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (👨💻 120 · 🔀 320 · 📥 700 · 📦 1.7K · 📋 1.1K - 29% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (👨💻 120 · 🔀 320 · 📥 710 · 📦 1.7K · 📋 1.2K - 29% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (📥 88K / month · 📦 170 · ⏱️ 02.11.2022):
+- [PyPi](https://pypi.org/project/pyvista) (📥 87K / month · 📦 180 · ⏱️ 02.11.2022):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 300K · ⏱️ 12.03.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 310K · ⏱️ 17.03.2023):
```
conda install -c conda-forge pyvista
```
@@ -987,23 +987,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (📥 950K / month · 📦 420 · ⏱️ 13.04.2022):
+- [PyPi](https://pypi.org/project/umap-learn) (📥 930K / month · 📦 420 · ⏱️ 13.04.2022):
```
pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 1.7M · ⏱️ 14.04.2022):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 1.8M · ⏱️ 14.04.2022):
```
conda install -c conda-forge umap-learn
```
plotnine (🥈34 · ⭐ 3.4K · 📈) - A grammar of graphics for Python. MIT
+plotnine (🥈34 · ⭐ 3.4K) - A grammar of graphics for Python. MIT
- [GitHub](https://github.com/has2k1/plotnine) (👨💻 99 · 🔀 190 · 📦 4.6K · 📋 560 - 15% open · ⏱️ 15.03.2023):
```
git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/plotnine) (📥 300K / month · 📦 240 · ⏱️ 29.09.2022):
+- [PyPi](https://pypi.org/project/plotnine) (📥 280K / month · 📦 240 · ⏱️ 29.09.2022):
```
pip install plotnine
```
@@ -1012,38 +1012,38 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge plotnine
```
VisPy (🥈33 · ⭐ 3K) - High-performance interactive 2D/3D data visualization library. BSD-3
+VisPy (🥈34 · ⭐ 3K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (👨💻 180 · 🔀 610 · 📦 1.1K · 📋 1.4K - 23% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/vispy/vispy) (👨💻 180 · 🔀 610 · 📦 1.1K · 📋 1.4K - 23% open · ⏱️ 20.03.2023):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (📥 49K / month · 📦 110 · ⏱️ 14.11.2022):
+- [PyPi](https://pypi.org/project/vispy) (📥 54K / month · 📦 120 · ⏱️ 14.11.2022):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (📥 350K · ⏱️ 14.11.2022):
+- [Conda](https://anaconda.org/conda-forge/vispy) (📥 360K · ⏱️ 20.03.2023):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (📥 12 / month · 📦 1 · ⏱️ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (📥 16 / month · 📦 1 · ⏱️ 15.03.2020):
```
npm install vispy
```
datashader (🥈33 · ⭐ 2.9K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (👨💻 53 · 🔀 360 · 📦 2K · 📋 540 - 24% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/holoviz/datashader) (👨💻 53 · 🔀 360 · 📦 2K · 📋 540 - 24% open · ⏱️ 20.03.2023):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (📥 170K / month · 📦 110 · ⏱️ 02.02.2023):
+- [PyPi](https://pypi.org/project/datashader) (📥 160K / month · 📦 110 · ⏱️ 02.02.2023):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (📥 510K · ⏱️ 02.02.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (📥 520K · ⏱️ 02.02.2023):
```
conda install -c conda-forge datashader
```
@@ -1071,7 +1071,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (📥 820K / month · 📦 790 · ⏱️ 27.06.2022):
+- [PyPi](https://pypi.org/project/wordcloud) (📥 830K / month · 📦 790 · ⏱️ 27.06.2022):
```
pip install wordcloud
```
@@ -1082,12 +1082,12 @@ _General-purpose and task-specific data visualization libraries._
missingno (🥈31 · ⭐ 3.5K) - Missing data visualization module for Python. MIT
-- [GitHub](https://github.com/ResidentMario/missingno) (👨💻 18 · 🔀 440 · 📦 10K · 📋 130 - 6% open · ⏱️ 26.02.2023):
+- [GitHub](https://github.com/ResidentMario/missingno) (👨💻 18 · 🔀 440 · 📦 11K · 📋 130 - 6% open · ⏱️ 26.02.2023):
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (📥 440K / month · 📦 130 · ⏱️ 27.02.2022):
+- [PyPi](https://pypi.org/project/missingno) (📥 480K / month · 📦 130 · ⏱️ 27.02.2022):
```
pip install missingno
```
@@ -1098,12 +1098,12 @@ _General-purpose and task-specific data visualization libraries._
bqplot (🥈31 · ⭐ 3.4K) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/bqplot/bqplot) (👨💻 60 · 🔀 470 · 📦 38 · 📋 610 - 40% open · ⏱️ 15.02.2023):
+- [GitHub](https://github.com/bqplot/bqplot) (👨💻 60 · 🔀 470 · 📦 38 · 📋 610 - 40% open · ⏱️ 21.03.2023):
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (📥 140K / month · 📦 100 · ⏱️ 02.09.2022):
+- [PyPi](https://pypi.org/project/bqplot) (📥 150K / month · 📦 100 · ⏱️ 02.09.2022):
```
pip install bqplot
```
@@ -1111,7 +1111,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (📥 3.5K / month · 📦 14 · ⏱️ 02.09.2022):
+- [npm](https://www.npmjs.com/package/bqplot) (📥 3.3K / month · 📦 14 · ⏱️ 02.09.2022):
```
npm install bqplot
```
@@ -1123,7 +1123,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (📥 290K / month · 📦 400 · ⏱️ 10.12.2022):
+- [PyPi](https://pypi.org/project/mpld3) (📥 280K / month · 📦 400 · ⏱️ 10.12.2022):
```
pip install mpld3
```
@@ -1131,26 +1131,26 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (📥 760 / month · 📦 7 · ⏱️ 10.12.2022):
+- [npm](https://www.npmjs.com/package/mpld3) (📥 820 / month · 📦 7 · ⏱️ 10.12.2022):
```
npm install mpld3
```
Facets Overview (🥈30 · ⭐ 7.1K) - Visualizations for machine learning datasets. Apache-2
-- [GitHub](https://github.com/PAIR-code/facets) (👨💻 30 · 🔀 910 · 📦 170 · 📋 160 - 51% open · ⏱️ 18.02.2023):
+- [GitHub](https://github.com/PAIR-code/facets) (👨💻 30 · 🔀 910 · 📦 170 · 📋 160 - 50% open · ⏱️ 18.02.2023):
```
git clone https://github.com/pair-code/facets
```
-- [PyPi](https://pypi.org/project/facets-overview) (📥 370K / month · 📦 8 · ⏱️ 30.01.2023):
+- [PyPi](https://pypi.org/project/facets-overview) (📥 340K / month · 📦 8 · ⏱️ 30.01.2023):
```
pip install facets-overview
```
Perspective (🥈30 · ⭐ 5.3K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (👨💻 82 · 🔀 610 · 📦 8 · 📋 610 - 16% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/finos/perspective) (👨💻 82 · 🔀 610 · 📦 8 · 📋 620 - 16% open · ⏱️ 21.03.2023):
```
git clone https://github.com/finos/perspective
@@ -1163,30 +1163,30 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 1.4K / month · 📦 2 · ⏱️ 27.02.2023):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 1.3K / month · 📦 2 · ⏱️ 27.02.2023):
```
npm install @finos/perspective-jupyterlab
```
D-Tale (🥈30 · ⭐ 3.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 
-- [GitHub](https://github.com/man-group/dtale) (👨💻 29 · 🔀 330 · 📦 640 · 📋 500 - 7% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/man-group/dtale) (👨💻 29 · 🔀 330 · 📦 650 · 📋 500 - 7% open · ⏱️ 06.03.2023):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (📥 150K / month · 📦 14 · ⏱️ 17.06.2022):
+- [PyPi](https://pypi.org/project/dtale) (📥 210K / month · 📦 14 · ⏱️ 17.06.2022):
```
pip install dtale
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (📥 190K · ⏱️ 03.03.2023):
+- [Conda](https://anaconda.org/conda-forge/dtale) (📥 200K · ⏱️ 03.03.2023):
```
conda install -c conda-forge dtale
```
hvPlot (🥈30 · ⭐ 720) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+hvPlot (🥈30 · ⭐ 730) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (👨💻 39 · 🔀 83 · 📦 2.5K · 📋 610 - 41% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (👨💻 39 · 🔀 83 · 📦 2.6K · 📋 610 - 41% open · ⏱️ 17.03.2023):
```
git clone https://github.com/holoviz/hvplot
@@ -1195,7 +1195,7 @@ _General-purpose and task-specific data visualization libraries._
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 330K · ⏱️ 25.11.2022):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 340K · ⏱️ 17.03.2023):
```
conda install -c conda-forge hvplot
```
@@ -1207,39 +1207,39 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/pythreejs) (📥 83K / month · 📦 52 · ⏱️ 20.02.2023):
+- [PyPi](https://pypi.org/project/pythreejs) (📥 84K / month · 📦 52 · ⏱️ 20.02.2023):
```
pip install pythreejs
```
-- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 470K · ⏱️ 06.09.2022):
+- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 470K · ⏱️ 16.03.2023):
```
conda install -c conda-forge pythreejs
```
-- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 5.5K / month · 📦 10 · ⏱️ 20.02.2023):
+- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 5.1K / month · 📦 10 · ⏱️ 20.02.2023):
```
npm install jupyter-threejs
```
data-validation (🥉29 · ⭐ 700) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 25 · 🔀 140 · 📥 390 · 📦 640 · 📋 170 - 21% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 25 · 🔀 140 · 📥 390 · 📦 640 · 📋 170 - 21% open · ⏱️ 22.03.2023):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 890K / month · 📦 28 · ⏱️ 08.12.2022):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 840K / month · 📦 28 · ⏱️ 08.12.2022):
```
pip install tensorflow-data-validation
```
pandas-profiling (🥉27 · ⭐ 10K · 📉) - Deprecated pandas-profiling package, use ydata-.. MIT
+pandas-profiling (🥉27 · ⭐ 10K) - Deprecated pandas-profiling package, use ydata-.. MIT
-- [GitHub]() (👨💻 110 · 🔀 1.5K · 📦 130):
+- [GitHub]() (👨💻 110 · 🔀 1.5K · 📦 160):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.1M / month · 📦 180 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.2M / month · 📦 180 · ⏱️ 31.01.2023):
```
pip install pandas-profiling
```
@@ -1248,14 +1248,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pandas-profiling
```
openTSNE (🥉27 · ⭐ 1.1K) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (🥉27 · ⭐ 1.2K) - Extensible, parallel implementations of t-SNE. BSD-3
- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 11 · 🔀 140 · 📦 520 · 📋 120 - 1% open · ⏱️ 20.02.2023):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (📥 51K / month · 📦 13 · ⏱️ 18.03.2022):
+- [PyPi](https://pypi.org/project/opentsne) (📥 48K / month · 📦 13 · ⏱️ 18.03.2022):
```
pip install opentsne
```
@@ -1264,25 +1264,9 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge opentsne
```
Chartify (🥉26 · ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2
-
-- [GitHub](https://github.com/spotify/chartify) (👨💻 25 · 🔀 300 · 📦 71 · 📋 76 - 59% open · ⏱️ 13.12.2022):
-
- ```
- git clone https://github.com/spotify/chartify
- ```
-- [PyPi](https://pypi.org/project/chartify) (📥 3.8K / month · 📦 9 · ⏱️ 13.12.2022):
- ```
- pip install chartify
- ```
-- [Conda](https://anaconda.org/conda-forge/chartify) (📥 25K · ⏱️ 07.11.2020):
- ```
- conda install -c conda-forge chartify
- ```
-AutoViz (🥉26 · ⭐ 1.3K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 14 · 🔀 160 · 📦 370 · 📋 67 - 5% open · ⏱️ 30.12.2022):
+- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 14 · 🔀 160 · 📦 380 · 📋 67 - 5% open · ⏱️ 30.12.2022):
```
git clone https://github.com/AutoViML/AutoViz
@@ -1291,43 +1275,59 @@ _General-purpose and task-specific data visualization libraries._
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 28K · ⏱️ 03.10.2022):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 29K · ⏱️ 03.10.2022):
```
conda install -c conda-forge autoviz
```
lets-plot (🥉26 · ⭐ 850) - An open-source plotting library for statistical data. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 18 · 🔀 43 · 📥 400 · 📦 24 · 📋 340 - 23% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 19 · 🔀 43 · 📥 400 · 📦 29 · 📋 340 - 25% open · ⏱️ 23.03.2023):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (📥 5.2K / month · 📦 1 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/lets-plot) (📥 5.3K / month · 📦 1 · ⏱️ 15.12.2022):
```
pip install lets-plot
```
Chartify (🥉25 · ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2
+
+- [GitHub](https://github.com/spotify/chartify) (👨💻 25 · 🔀 300 · 📦 71 · 📋 77 - 59% open · ⏱️ 22.03.2023):
+
+ ```
+ git clone https://github.com/spotify/chartify
+ ```
+- [PyPi](https://pypi.org/project/chartify) (📥 4.2K / month · 📦 10 · ⏱️ 13.12.2022):
+ ```
+ pip install chartify
+ ```
+- [Conda](https://anaconda.org/conda-forge/chartify) (📥 25K · ⏱️ 07.11.2020):
+ ```
+ conda install -c conda-forge chartify
+ ```
+Pandas-Bokeh (🥉25 · ⭐ 840) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
-- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨💻 15 · 🔀 100 · 📦 430 · 📋 100 - 31% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨💻 15 · 🔀 100 · 📦 440 · 📋 100 - 31% open · ⏱️ 06.03.2023):
```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 28K / month · 📦 11 · ⏱️ 11.04.2021):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 29K / month · 📦 11 · ⏱️ 11.04.2021):
```
pip install pandas-bokeh
```
HiPlot (🥉24 · ⭐ 2.4K) - HiPlot makes understanding high dimensional data easy. MIT
+HiPlot (🥉24 · ⭐ 2.5K) - HiPlot makes understanding high dimensional data easy. MIT
- [GitHub](https://github.com/facebookresearch/hiplot) (👨💻 8 · 🔀 120 · 📦 260 · 📋 87 - 18% open · ⏱️ 03.03.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (📥 37K / month · 📦 12 · ⏱️ 27.10.2022):
+- [PyPi](https://pypi.org/project/hiplot) (📥 36K / month · 📦 12 · ⏱️ 27.10.2022):
```
pip install hiplot
```
@@ -1336,14 +1336,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge hiplot
```
Plotly-Resampler (🥉24 · ⭐ 670) - Visualize large time series data with plotly.py. MIT
+Plotly-Resampler (🥉24 · ⭐ 680) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 10 · 🔀 44 · 📦 140 · 📋 95 - 31% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 10 · 🔀 44 · 📦 150 · 📋 95 - 31% open · ⏱️ 08.03.2023):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (📥 160K / month · 📦 4 · ⏱️ 29.06.2022):
+- [PyPi](https://pypi.org/project/plotly-resampler) (📥 200K / month · 📦 4 · ⏱️ 29.06.2022):
```
pip install plotly-resampler
```
@@ -1359,7 +1359,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (📥 11K / month · 📦 84 · ⏱️ 10.02.2022):
+- [PyPi](https://pypi.org/project/vega) (📥 12K / month · 📦 84 · ⏱️ 10.02.2022):
```
pip install vega
```
@@ -1368,14 +1368,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
Sweetviz (🥉23 · ⭐ 2.3K · 💤) - Visualize and compare datasets, target values and associations, with.. MIT
+Sweetviz (🥉23 · ⭐ 2.4K · 💤) - Visualize and compare datasets, target values and associations, with.. MIT
- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨💻 6 · 🔀 230 · 📋 110 - 32% open · ⏱️ 08.06.2022):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (📥 77K / month · 📦 8 · ⏱️ 14.06.2022):
+- [PyPi](https://pypi.org/project/sweetviz) (📥 80K / month · 📦 8 · ⏱️ 14.06.2022):
```
pip install sweetviz
```
@@ -1384,46 +1384,46 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge sweetviz
```
Popmon (🥉22 · ⭐ 430) - Monitor the stability of a Pandas or Spark dataframe. MIT
+python-ternary (🥉22 · ⭐ 620) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/ing-bank/popmon) (👨💻 16 · 🔀 31 · 📥 43 · 📦 19 · 📋 49 - 30% open · ⏱️ 15.02.2023):
+- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 27 · 🔀 140 · 📥 19 · 📦 120 · 📋 140 - 27% open · ⏱️ 31.12.2022):
```
- git clone https://github.com/ing-bank/popmon
+ git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/popmon) (📥 17K / month · 📦 2 · ⏱️ 19.10.2022):
+- [PyPi](https://pypi.org/project/python-ternary) (📥 61K / month · 📦 21 · ⏱️ 17.02.2021):
```
- pip install popmon
+ pip install python-ternary
+ ```
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 72K · ⏱️ 17.02.2021):
+ ```
+ conda install -c conda-forge python-ternary
```
python-ternary (🥉21 · ⭐ 620) - Ternary plotting library for python with matplotlib. MIT
+Popmon (🥉22 · ⭐ 430) - Monitor the stability of a Pandas or Spark dataframe. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 27 · 🔀 140 · 📥 18 · 📦 120 · 📋 140 - 27% open · ⏱️ 31.12.2022):
+- [GitHub](https://github.com/ing-bank/popmon) (👨💻 16 · 🔀 32 · 📥 45 · 📦 19 · 📋 49 - 30% open · ⏱️ 15.02.2023):
```
- git clone https://github.com/marcharper/python-ternary
- ```
-- [PyPi](https://pypi.org/project/python-ternary) (📥 58K / month · 📦 21 · ⏱️ 17.02.2021):
- ```
- pip install python-ternary
+ git clone https://github.com/ing-bank/popmon
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 72K · ⏱️ 17.02.2021):
+- [PyPi](https://pypi.org/project/popmon) (📥 17K / month · 📦 2 · ⏱️ 19.10.2022):
```
- conda install -c conda-forge python-ternary
+ pip install popmon
```
PyWaffle (🥉20 · ⭐ 540 · 💤) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 99 · 📦 210 · 📋 21 - 23% open · ⏱️ 08.06.2022):
+- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 99 · 📦 220 · 📋 21 - 23% open · ⏱️ 08.06.2022):
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (📥 3.4K / month · 📦 2 · ⏱️ 08.06.2022):
+- [PyPi](https://pypi.org/project/pywaffle) (📥 2.8K / month · 📦 2 · ⏱️ 08.06.2022):
```
pip install pywaffle
```
-- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 8.6K · ⏱️ 05.06.2022):
+- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 8.7K · ⏱️ 05.06.2022):
```
conda install -c conda-forge pywaffle
```
@@ -1439,9 +1439,9 @@ _General-purpose and task-specific data visualization libraries._
- pivottablejs (🥉23 · ⭐ 540 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT MIT
- ivis (🥉20 · ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 BSD-3
+- vegafusion (🥉20 · ⭐ 170) - Serverside scaling for the Vega and Altair visualizations. BSD-3
- animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT
-- data-describe (🥉18 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
+- data-describe (🥉17 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT
- nx-altair (🥉16 · ⭐ 210 · 💀) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
@@ -1454,9 +1454,9 @@ _General-purpose and task-specific data visualization libraries._
_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
-transformers (🥇49 · ⭐ 85K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
+transformers (🥇49 · ⭐ 87K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (👨💻 1.8K · 🔀 19K · 📥 410 · 📦 59K · 📋 11K - 5% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/huggingface/transformers) (👨💻 1.8K · 🔀 19K · 📥 270 · 📦 60K · 📋 11K - 5% open · ⏱️ 23.03.2023):
```
git clone https://github.com/huggingface/transformers
@@ -1465,51 +1465,51 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (📥 940K · ⏱️ 16.03.2023):
+- [Conda](https://anaconda.org/conda-forge/transformers) (📥 970K · ⏱️ 22.03.2023):
```
conda install -c conda-forge transformers
```
nltk (🥇44 · ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+spaCy (🥇44 · ⭐ 26K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/nltk/nltk) (👨💻 440 · 🔀 2.7K · 📦 180K · 📋 1.7K - 13% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/explosion/spaCy) (👨💻 720 · 🔀 4K · 📦 56K · 📋 5.4K - 1% open · ⏱️ 22.03.2023):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/nltk) (📥 11M / month · 📦 12K · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/spacy) (📥 5.2M / month · 📦 2.6K · ⏱️ 20.01.2023):
```
- pip install nltk
+ pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.8M · ⏱️ 02.01.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3M · ⏱️ 13.03.2023):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge spacy
```
spaCy (🥇42 · ⭐ 26K · 📉) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+nltk (🥇44 · ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/explosion/spaCy) (👨💻 720 · 🔀 4K · 📋 5.4K - 1% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/nltk/nltk) (👨💻 440 · 🔀 2.7K · 📦 180K · 📋 1.7K - 13% open · ⏱️ 13.03.2023):
```
- git clone https://github.com/explosion/spaCy
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/spacy) (📥 5.2M / month · 📦 2.6K · ⏱️ 20.01.2023):
+- [PyPi](https://pypi.org/project/nltk) (📥 11M / month · 📦 12K · ⏱️ 02.01.2023):
```
- pip install spacy
+ pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3M · ⏱️ 13.03.2023):
+- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.8M · ⏱️ 02.01.2023):
```
- conda install -c conda-forge spacy
+ conda install -c conda-forge nltk
```
Rasa (🥇41 · ⭐ 16K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 580 · 🔀 4.3K · 📦 3.1K · 📋 6.8K - 1% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 580 · 🔀 4.3K · 📦 3.1K · 📋 6.8K - 1% open · ⏱️ 23.03.2023):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (📥 140K / month · 📦 65 · ⏱️ 27.01.2023):
+- [PyPi](https://pypi.org/project/rasa) (📥 150K / month · 📦 65 · ⏱️ 27.01.2023):
```
pip install rasa
```
@@ -1530,14 +1530,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
flair (🥇40 · ⭐ 13K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT
+flair (🥇40 · ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (👨💻 240 · 🔀 2K · 📦 2.3K · 📋 2.1K - 3% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/flairNLP/flair) (👨💻 240 · 🔀 2K · 📦 2.3K · 📋 2.1K - 3% open · ⏱️ 22.03.2023):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (📥 91K / month · 📦 90 · ⏱️ 20.05.2022):
+- [PyPi](https://pypi.org/project/flair) (📥 93K / month · 📦 90 · ⏱️ 20.05.2022):
```
pip install flair
```
@@ -1546,18 +1546,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge python-flair
```
fairseq (🥇36 · ⭐ 21K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
+fairseq (🥇36 · ⭐ 21K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 410 · 🔀 5.3K · 📥 300 · 📦 1.3K · 📋 3.9K - 23% open · ⏱️ 23.02.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 410 · 🔀 5.3K · 📥 300 · 📦 1.3K · 📋 3.9K - 24% open · ⏱️ 23.02.2023):
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (📥 76K / month · 📦 49 · ⏱️ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (📥 86K / month · 📦 50 · ⏱️ 27.06.2022):
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 24K · ⏱️ 13.07.2022):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 25K · ⏱️ 13.07.2022):
```
conda install -c conda-forge fairseq
```
@@ -1569,51 +1569,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/allenai/allennlp
```
-- [PyPi](https://pypi.org/project/allennlp) (📥 58K / month · 📦 180 · ⏱️ 18.10.2022):
+- [PyPi](https://pypi.org/project/allennlp) (📥 63K / month · 📦 180 · ⏱️ 18.10.2022):
```
pip install allennlp
```
-- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 99K · ⏱️ 15.07.2022):
+- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 100K · ⏱️ 15.07.2022):
```
conda install -c conda-forge allennlp
```
spark-nlp (🥇36 · ⭐ 3.1K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (🥇36 · ⭐ 3.2K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 140 · 🔀 640 · 📦 250 · 📋 780 - 4% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 140 · 🔀 650 · 📦 260 · 📋 780 - 4% open · ⏱️ 23.03.2023):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (📥 3M / month · 📦 18 · ⏱️ 24.01.2023):
+- [PyPi](https://pypi.org/project/spark-nlp) (📥 2.9M / month · 📦 19 · ⏱️ 24.01.2023):
```
pip install spark-nlp
```
fastText (🥈35 · ⭐ 24K · 💤) - Library for fast text representation and classification. MIT
-
-- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 59 · 🔀 4.5K · 📦 4.1K · 📋 1.1K - 46% open · ⏱️ 04.03.2022):
-
- ```
- git clone https://github.com/facebookresearch/fastText
- ```
-- [PyPi](https://pypi.org/project/fasttext) (📥 970K / month · 📦 190 · ⏱️ 28.04.2020):
- ```
- pip install fasttext
- ```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 50K · ⏱️ 01.11.2022):
- ```
- conda install -c conda-forge fasttext
- ```
-TextBlob (🥈35 · ⭐ 8.5K · 📉) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
+TextBlob (🥈35 · ⭐ 8.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
- [GitHub](https://github.com/sloria/TextBlob) (👨💻 36 · 🔀 1.1K · 📥 100 · 📦 28K · 📋 270 - 41% open · ⏱️ 11.03.2023):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (📥 1M / month · 📦 1.4K · ⏱️ 22.10.2021):
+- [PyPi](https://pypi.org/project/textblob) (📥 980K / month · 📦 1.4K · ⏱️ 22.10.2021):
```
pip install textblob
```
@@ -1624,19 +1608,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
torchtext (🥈35 · ⭐ 3.2K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/pytorch/text) (👨💻 140 · 🔀 780 · 📋 790 - 37% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/pytorch/text) (👨💻 140 · 🔀 790 · 📋 790 - 37% open · ⏱️ 21.03.2023):
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (📥 450K / month · 📦 460 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/torchtext) (📥 480K / month · 📦 460 · ⏱️ 15.12.2022):
```
pip install torchtext
```
sentence-transformers (🥈34 · ⭐ 9.7K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+sentence-transformers (🥈34 · ⭐ 9.8K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 110 · 🔀 1.9K · 📦 6.6K · 📋 1.7K - 54% open · ⏱️ 26.01.2023):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 110 · 🔀 1.9K · 📦 6.7K · 📋 1.7K - 54% open · ⏱️ 26.01.2023):
```
git clone https://github.com/UKPLab/sentence-transformers
@@ -1645,115 +1629,115 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 90K · ⏱️ 27.06.2022):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 93K · ⏱️ 27.06.2022):
```
conda install -c conda-forge sentence-transformers
```
haystack (🥈34 · ⭐ 7.3K) - Haystack is an open source NLP framework to interact with your data.. Apache-2
+haystack (🥈34 · ⭐ 7.5K) - Haystack is an open source NLP framework to interact with your data.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 160 · 🔀 1.1K · 📥 19 · 📦 580 · 📋 2K - 16% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 160 · 🔀 1.1K · 📥 20 · 📦 590 · 📋 2.1K - 16% open · ⏱️ 23.03.2023):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (📥 2.1K / month · 📦 85 · ⏱️ 15.12.2021):
+- [PyPi](https://pypi.org/project/haystack) (📥 2.1K / month · 📦 85 · ⏱️ 03.07.2017):
```
pip install haystack
```
sentencepiece (🥈34 · ⭐ 6.8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (🥈34 · ⭐ 6.9K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
- [GitHub](https://github.com/google/sentencepiece) (👨💻 74 · 🔀 890 · 📥 25K · 📦 25K · 📋 590 - 4% open · ⏱️ 21.02.2023):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (📥 8.9M / month · 📦 580 · ⏱️ 07.08.2022):
+- [PyPi](https://pypi.org/project/sentencepiece) (📥 9.3M / month · 📦 580 · ⏱️ 07.08.2022):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 360K · ⏱️ 15.02.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 370K · ⏱️ 15.02.2023):
```
conda install -c conda-forge sentencepiece
```
Tokenizers (🥈34 · ⭐ 6.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 66 · 🔀 560 · 📦 56 · 📋 740 - 32% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 66 · 🔀 560 · 📦 56 · 📋 750 - 32% open · ⏱️ 21.03.2023):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (📥 10M / month · 📦 180 · ⏱️ 07.11.2022):
+- [PyPi](https://pypi.org/project/tokenizers) (📥 11M / month · 📦 190 · ⏱️ 07.11.2022):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 900K · ⏱️ 26.01.2023):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 930K · ⏱️ 26.01.2023):
```
conda install -c conda-forge tokenizers
```
stanza (🥈34 · ⭐ 6.5K · 📈) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
+stanza (🥈34 · ⭐ 6.5K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 58 · 🔀 850 · 📦 1.7K · 📋 780 - 11% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 58 · 🔀 850 · 📦 1.7K · 📋 790 - 11% open · ⏱️ 14.03.2023):
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (📥 170K / month · 📦 84 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/stanza) (📥 180K / month · 📦 84 · ⏱️ 20.09.2022):
```
pip install stanza
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 6.3K · ⏱️ 14.09.2022):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 6.4K · ⏱️ 14.09.2022):
```
conda install -c stanfordnlp stanza
```
NeMo (🥈34 · ⭐ 5.9K) - NeMo: a toolkit for conversational AI. Apache-2
+NeMo (🥈34 · ⭐ 6K) - NeMo: a toolkit for conversational AI. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 210 · 🔀 1.4K · 📥 29K · 📋 1.5K - 5% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 210 · 🔀 1.4K · 📥 30K · 📋 1.5K - 4% open · ⏱️ 23.03.2023):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 25K / month · 📦 10 · ⏱️ 01.07.2022):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 28K / month · 📦 11 · ⏱️ 01.07.2022):
```
pip install nemo-toolkit
```
TensorFlow Text (🥈34 · ⭐ 1K) - Making text a first-class citizen in TensorFlow. Apache-2
+TensorFlow Text (🥈34 · ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (👨💻 100 · 🔀 270 · 📦 4.9K · 📋 260 - 42% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/tensorflow/text) (👨💻 100 · 🔀 280 · 📦 4.9K · 📋 260 - 42% open · ⏱️ 22.03.2023):
```
git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.3M / month · 📦 100 · ⏱️ 18.11.2022):
+- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.4M / month · 📦 100 · ⏱️ 18.11.2022):
```
pip install tensorflow-text
```
ParlAI (🥈33 · ⭐ 9.9K) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (👨💻 200 · 🔀 2K · 📦 170 · 📋 1.5K - 4% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (👨💻 210 · 🔀 2K · 📦 170 · 📋 1.5K - 4% open · ⏱️ 22.03.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (📥 3.1K / month · 📦 3 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (📥 3K / month · 📦 3 · ⏱️ 20.09.2022):
```
pip install parlai
```
OpenNMT (🥈33 · ⭐ 5.9K) - Open Source Neural Machine Translation in PyTorch. MIT
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.2K · 📦 180 · 📋 1.4K - 1% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.2K · 📦 180 · 📋 1.4K - 1% open · ⏱️ 23.03.2023):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 6.2K / month · 📦 9 · ⏱️ 19.12.2022):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 5.3K / month · 📦 9 · ⏱️ 19.12.2022):
```
pip install OpenNMT-py
```
@@ -1774,6 +1758,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge dedupe
```
fastText (🥈32 · ⭐ 24K · 💤) - Library for fast text representation and classification. MIT
+
+- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 59 · 🔀 4.5K · 📋 1.1K - 46% open · ⏱️ 04.03.2022):
+
+ ```
+ git clone https://github.com/facebookresearch/fastText
+ ```
+- [PyPi](https://pypi.org/project/fasttext) (📥 950K / month · 📦 190 · ⏱️ 28.04.2020):
+ ```
+ pip install fasttext
+ ```
+- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 50K · ⏱️ 01.11.2022):
+ ```
+ conda install -c conda-forge fasttext
+ ```
+DeepPavlov (🥈32 · ⭐ 6.1K) - An open source library for deep learning end-to-end dialog.. Apache-2
- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 73 · 🔀 1.1K · 📦 330 · 📋 620 - 8% open · ⏱️ 14.03.2023):
@@ -1781,19 +1781,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (📥 8.2K / month · 📦 6 · ⏱️ 17.02.2023):
+- [PyPi](https://pypi.org/project/deeppavlov) (📥 8.7K / month · 📦 6 · ⏱️ 17.02.2023):
```
pip install deeppavlov
```
jellyfish (🥈31 · ⭐ 1.8K) - a python library for doing approximate and phonetic matching of.. BSD-2
-- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 28 · 🔀 150 · 📦 5.4K · 📋 120 - 8% open · ⏱️ 03.02.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 28 · 🔀 150 · 📦 5.5K · 📋 120 - 8% open · ⏱️ 03.02.2023):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (📥 2.6M / month · 📦 430 · ⏱️ 07.01.2022):
+- [PyPi](https://pypi.org/project/jellyfish) (📥 2.5M / month · 📦 430 · ⏱️ 07.01.2022):
```
pip install jellyfish
```
@@ -1802,6 +1802,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge jellyfish
```
spacy-transformers (🥈31 · ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+
+- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 21 · 🔀 160 · 📦 900 · ⏱️ 22.03.2023):
+
+ ```
+ git clone https://github.com/explosion/spacy-transformers
+ ```
+- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 30 · ⏱️ 26.01.2023):
+ ```
+ pip install spacy-transformers
+ ```
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 11K · ⏱️ 28.02.2023):
+ ```
+ conda install -c conda-forge spacy-transformers
+ ```
+snowballstemmer (🥈31 · ⭐ 650) - Snowball compiler and stemming algorithms. BSD-3
- [GitHub](https://github.com/snowballstem/snowball) (👨💻 30 · 🔀 170 · 📦 4 · 📋 80 - 37% open · ⏱️ 16.11.2022):
@@ -1809,23 +1825,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (📥 8.9M / month · 📦 6.8K · ⏱️ 16.11.2021):
+- [PyPi](https://pypi.org/project/snowballstemmer) (📥 9M / month · 📦 6.8K · ⏱️ 16.11.2021):
```
pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 6.1M · ⏱️ 17.11.2021):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 6.2M · ⏱️ 17.11.2021):
```
conda install -c conda-forge snowballstemmer
```
rubrix (🥈30 · ⭐ 1.7K) - Argilla: Open-source platform empowering teams to make better LLM and.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (👨💻 42 · 🔀 150 · 📦 44 · 📋 950 - 19% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/argilla-io/argilla) (👨💻 43 · 🔀 160 · 📦 67 · 📋 970 - 19% open · ⏱️ 23.03.2023):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (📥 800 / month · ⏱️ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (📥 1.1K / month · ⏱️ 24.10.2022):
```
pip install rubrix
```
@@ -1834,46 +1850,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge rubrix
```
spacy-transformers (🥈30 · ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-
-- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 20 · 🔀 160 · 📦 880 · ⏱️ 13.03.2023):
-
- ```
- git clone https://github.com/explosion/spacy-transformers
- ```
-- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 30 · ⏱️ 26.01.2023):
- ```
- pip install spacy-transformers
- ```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 10K · ⏱️ 28.02.2023):
- ```
- conda install -c conda-forge spacy-transformers
- ```
-nlpaug (🥈29 · ⭐ 3.8K · 💤) - Data augmentation for NLP. MIT
+nlpaug (🥈29 · ⭐ 3.9K · 💤) - Data augmentation for NLP. MIT
-- [GitHub](https://github.com/makcedward/nlpaug) (👨💻 33 · 🔀 430 · 📦 630 · 📋 210 - 27% open · ⏱️ 07.07.2022):
+- [GitHub](https://github.com/makcedward/nlpaug) (👨💻 33 · 🔀 430 · 📦 640 · 📋 210 - 27% open · ⏱️ 07.07.2022):
```
git clone https://github.com/makcedward/nlpaug
```
-- [PyPi](https://pypi.org/project/nlpaug) (📥 160K / month · 📦 21 · ⏱️ 07.07.2022):
+- [PyPi](https://pypi.org/project/nlpaug) (📥 180K / month · 📦 21 · ⏱️ 07.07.2022):
```
pip install nlpaug
```
-- [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 7.5K · ⏱️ 30.01.2023):
+- [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 7.7K · ⏱️ 30.01.2023):
```
conda install -c conda-forge nlpaug
```
ftfy (🥈29 · ⭐ 3.5K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 18 · 🔀 120 · 📦 9.6K · 📋 130 - 11% open · ⏱️ 25.10.2022):
+- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 18 · 🔀 120 · 📦 9.7K · 📋 130 - 11% open · ⏱️ 25.10.2022):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (📥 4.8M / month · 📦 570 · ⏱️ 09.02.2022):
+- [PyPi](https://pypi.org/project/ftfy) (📥 5.3M / month · 📦 570 · ⏱️ 09.02.2022):
```
pip install ftfy
```
@@ -1889,11 +1889,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (📥 24K / month · 📦 100 · ⏱️ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (📥 25K / month · 📦 100 · ⏱️ 23.10.2022):
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (📥 4.1K · ⏱️ 25.10.2022):
+- [Conda](https://anaconda.org/conda-forge/sumy) (📥 4.2K · ⏱️ 25.10.2022):
```
conda install -c conda-forge sumy
```
@@ -1905,7 +1905,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/chartbeat-labs/textacy
```
-- [PyPi](https://pypi.org/project/textacy) (📥 120K / month · 📦 100 · ⏱️ 06.12.2021):
+- [PyPi](https://pypi.org/project/textacy) (📥 130K / month · 📦 100 · ⏱️ 06.12.2021):
```
pip install textacy
```
@@ -1921,19 +1921,19 @@ _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) (📥 310K / month · 📦 7 · ⏱️ 06.01.2023):
+- [PyPi](https://pypi.org/project/english-words) (📥 320K / month · 📦 7 · ⏱️ 06.01.2023):
```
pip install english-words
```
fastNLP (🥈28 · ⭐ 2.9K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2
-- [GitHub](https://github.com/fastnlp/fastNLP) (👨💻 62 · 🔀 440 · 📥 67 · 📦 120 · 📋 210 - 25% open · ⏱️ 13.12.2022):
+- [GitHub](https://github.com/fastnlp/fastNLP) (👨💻 62 · 🔀 440 · 📥 67 · 📦 130 · 📋 210 - 25% open · ⏱️ 13.12.2022):
```
git clone https://github.com/fastnlp/fastNLP
```
-- [PyPi](https://pypi.org/project/fastnlp) (📥 8.6K / month · 📦 3 · ⏱️ 04.02.2019):
+- [PyPi](https://pypi.org/project/fastnlp) (📥 9.9K / month · 📦 3 · ⏱️ 04.02.2019):
```
pip install fastnlp
```
@@ -1945,7 +1945,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dmlc/gluon-nlp
```
-- [PyPi](https://pypi.org/project/gluonnlp) (📥 200K / month · 📦 22 · ⏱️ 13.08.2020):
+- [PyPi](https://pypi.org/project/gluonnlp) (📥 190K / month · 📦 22 · ⏱️ 13.08.2020):
```
pip install gluonnlp
```
@@ -1957,7 +1957,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (📥 12K / month · 📦 10 · ⏱️ 26.03.2022):
+- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 10 · ⏱️ 26.03.2022):
```
pip install scattertext
```
@@ -1966,14 +1966,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge scattertext
```
Ciphey (🥈27 · ⭐ 12K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
+Ciphey (🥈27 · ⭐ 13K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
- [GitHub](https://github.com/Ciphey/Ciphey) (👨💻 46 · 🔀 740 · 📋 310 - 16% open · ⏱️ 05.12.2022):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (📥 27K / month · ⏱️ 06.06.2021):
+- [PyPi](https://pypi.org/project/ciphey) (📥 37K / month · ⏱️ 06.06.2021):
```
pip install ciphey
```
@@ -1982,14 +1982,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
T5 (🥈27 · ⭐ 4.8K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+T5 (🥈27 · ⭐ 4.9K) - 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) (👨💻 54 · 🔀 660 · 📦 160 · 📋 440 - 22% open · ⏱️ 19.02.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 54 · 🔀 660 · 📦 160 · 📋 440 - 22% open · ⏱️ 20.03.2023):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (📥 16K / month · 📦 3 · ⏱️ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (📥 19K / month · 📦 3 · ⏱️ 18.10.2021):
```
pip install t5
```
@@ -2005,7 +2005,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install vadersentiment
```
-- [Conda](https://anaconda.org/conda-forge/vadersentiment) (📥 11K · ⏱️ 22.03.2021):
+- [Conda](https://anaconda.org/conda-forge/vadersentiment) (📥 12K · ⏱️ 22.03.2021):
```
conda install -c conda-forge vadersentiment
```
@@ -2028,12 +2028,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (🥈27 · ⭐ 1.7K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 17 · 🔀 460 · 📦 13 · 📋 220 - 0% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 17 · 🔀 460 · 📦 14 · 📋 220 - 0% open · ⏱️ 21.03.2023):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (📥 2.6K / month · ⏱️ 28.12.2022):
+- [PyPi](https://pypi.org/project/deepke) (📥 2.7K / month · ⏱️ 28.12.2022):
```
pip install deepke
```
@@ -2045,19 +2045,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (📥 44K / month · 📦 21 · ⏱️ 07.09.2022):
+- [PyPi](https://pypi.org/project/scispacy) (📥 46K / month · 📦 21 · ⏱️ 07.09.2022):
```
pip install scispacy
```
CLTK (🥈27 · ⭐ 770) - The Classical Language Toolkit. MIT
+CLTK (🥈27 · ⭐ 780) - The Classical Language Toolkit. MIT
- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 310 · 📥 25 · 📦 230 · 📋 540 - 5% open · ⏱️ 06.03.2023):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (📥 1.9K / month · 📦 42 · ⏱️ 13.10.2022):
+- [PyPi](https://pypi.org/project/cltk) (📥 2.2K / month · 📦 42 · ⏱️ 13.10.2022):
```
pip install cltk
```
@@ -2069,7 +2069,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/pytext
```
-- [PyPi](https://pypi.org/project/pytext-nlp) (📥 200 / month · 📦 1 · ⏱️ 08.06.2020):
+- [PyPi](https://pypi.org/project/pytext-nlp) (📥 220 / month · 📦 1 · ⏱️ 08.06.2020):
```
pip install pytext-nlp
```
@@ -2081,11 +2081,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (📥 55K / month · 📦 16 · ⏱️ 27.07.2022):
+- [PyPi](https://pypi.org/project/pytextrank) (📥 50K / month · 📦 16 · ⏱️ 27.07.2022):
```
pip install pytextrank
```
qdrant (🥉25 · ⭐ 5.1K) - Qdrant - Vector Search Engine and Database for the next generation of.. Apache-2
+
+- [GitHub](https://github.com/qdrant/qdrant) (👨💻 35 · 🔀 230 · 📋 420 - 11% open · ⏱️ 22.03.2023):
+
+ ```
+ git clone https://github.com/qdrant/qdrant
+ ```
+sense2vec (🥉25 · ⭐ 1.5K) - Contextually-keyed word vectors. MIT
- [GitHub](https://github.com/explosion/sense2vec) (👨💻 18 · 🔀 240 · 📥 49K · 📦 240 · 📋 110 - 18% open · ⏱️ 08.12.2022):
@@ -2093,7 +2101,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (📥 4K / month · 📦 11 · ⏱️ 08.12.2022):
+- [PyPi](https://pypi.org/project/sense2vec) (📥 4.6K / month · 📦 11 · ⏱️ 08.12.2022):
```
pip install sense2vec
```
@@ -2104,32 +2112,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
detoxify (🥉25 · ⭐ 580) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 9 · 🔀 77 · 📥 160K · 📦 250 · 📋 51 - 58% open · ⏱️ 19.12.2022):
+- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 9 · 🔀 78 · 📥 160K · 📦 250 · 📋 51 - 58% open · ⏱️ 19.12.2022):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (📥 77K / month · 📦 3 · ⏱️ 19.12.2022):
+- [PyPi](https://pypi.org/project/detoxify) (📥 70K / month · 📦 3 · ⏱️ 19.12.2022):
```
pip install detoxify
```
qdrant (🥉24 · ⭐ 4.9K) - Qdrant - Vector Search Engine and Database for the next generation of.. Apache-2
+OpenPrompt (🥉24 · ⭐ 2.7K) - An Open-Source Framework for Prompt-Learning. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (👨💻 34 · 🔀 220 · 📋 410 - 11% open · ⏱️ 15.03.2023):
-
- ```
- git clone https://github.com/qdrant/qdrant
- ```
-OpenPrompt (🥉24 · ⭐ 2.6K) - An Open-Source Framework for Prompt-Learning. Apache-2
-
-- [GitHub](https://github.com/thunlp/OpenPrompt) (👨💻 19 · 🔀 310 · 📦 35 · 📋 210 - 26% open · ⏱️ 05.02.2023):
+- [GitHub](https://github.com/thunlp/OpenPrompt) (👨💻 19 · 🔀 310 · 📦 36 · 📋 210 - 26% open · ⏱️ 05.02.2023):
```
git clone https://github.com/thunlp/OpenPrompt
```
-- [PyPi](https://pypi.org/project/openprompt) (📥 1.7K / month · 📦 1 · ⏱️ 06.07.2022):
+- [PyPi](https://pypi.org/project/openprompt) (📥 2K / month · 📦 1 · ⏱️ 06.07.2022):
```
pip install openprompt
```
@@ -2141,7 +2141,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepset-ai/FARM
```
-- [PyPi](https://pypi.org/project/farm) (📥 5.2K / month · 📦 3 · ⏱️ 10.06.2021):
+- [PyPi](https://pypi.org/project/farm) (📥 4.6K / month · 📦 3 · ⏱️ 10.06.2021):
```
pip install farm
```
@@ -2152,12 +2152,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
promptsource (🥉23 · ⭐ 1.4K) - Toolkit for creating, sharing and using natural language.. Apache-2
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (👨💻 59 · 🔀 210 · 📦 34 · 📋 160 - 14% open · ⏱️ 20.01.2023):
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (👨💻 59 · 🔀 220 · 📦 34 · 📋 160 - 14% open · ⏱️ 20.01.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/promptsource) (📥 4.2K / month · ⏱️ 18.04.2022):
+- [PyPi](https://pypi.org/project/promptsource) (📥 4K / month · ⏱️ 18.04.2022):
```
pip install promptsource
```
@@ -2169,30 +2169,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (📥 760 / month · 📦 2 · ⏱️ 03.03.2023):
+- [PyPi](https://pypi.org/project/sockeye) (📥 840 / month · 📦 2 · ⏱️ 03.03.2023):
```
pip install sockeye
```
small-text (🥉23 · ⭐ 420) - Active Learning for Text Classification in Python. MIT
+small-text (🥉23 · ⭐ 430) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (👨💻 3 · 🔀 44 · 📦 18 · 📋 28 - 25% open · ⏱️ 21.02.2023):
+- [GitHub](https://github.com/webis-de/small-text) (👨💻 3 · 🔀 44 · 📦 18 · 📋 30 - 26% open · ⏱️ 21.02.2023):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (📥 640 / month · ⏱️ 14.10.2022):
+- [PyPi](https://pypi.org/project/small-text) (📥 720 / month · ⏱️ 14.10.2022):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (📥 1.9K · ⏱️ 21.02.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (📥 2K · ⏱️ 21.02.2023):
```
conda install -c conda-forge small-text
```
gpt-2-simple (🥉22 · ⭐ 3.2K · 💤) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT
-- [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨💻 21 · 🔀 630 · 📥 410 · 📋 270 - 63% open · ⏱️ 22.05.2022):
+- [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨💻 21 · 🔀 650 · 📥 410 · 📋 280 - 64% open · ⏱️ 22.05.2022):
```
git clone https://github.com/minimaxir/gpt-2-simple
@@ -2209,19 +2209,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/texthero) (📥 25K / month · 📦 6 · ⏱️ 01.07.2021):
+- [PyPi](https://pypi.org/project/texthero) (📥 23K / month · 📦 6 · ⏱️ 01.07.2021):
```
pip install texthero
```
lightseq (🥉22 · ⭐ 2.6K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
-- [GitHub](https://github.com/bytedance/lightseq) (👨💻 16 · 🔀 290 · 📥 650 · 📋 260 - 58% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/bytedance/lightseq) (👨💻 17 · 🔀 290 · 📥 650 · 📋 260 - 58% open · ⏱️ 22.03.2023):
```
git clone https://github.com/bytedance/lightseq
```
-- [PyPi](https://pypi.org/project/lightseq) (📥 930 / month · 📦 1 · ⏱️ 03.11.2022):
+- [PyPi](https://pypi.org/project/lightseq) (📥 940 / month · 📦 1 · ⏱️ 03.11.2022):
```
pip install lightseq
```
@@ -2256,12 +2256,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
happy-transformer (🥉22 · ⭐ 400) - A package built on top of Hugging Faces transformers.. Apache-2 huggingface
-- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 51 · 📦 120 · 📋 120 - 20% open · ⏱️ 31.10.2022):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 51 · 📦 130 · 📋 120 - 20% open · ⏱️ 31.10.2022):
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (📥 10K / month · 📦 2 · ⏱️ 06.02.2022):
+- [PyPi](https://pypi.org/project/happytransformer) (📥 12K / month · 📦 2 · ⏱️ 06.02.2022):
```
pip install happytransformer
```
@@ -2285,55 +2285,55 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (📥 3K / month · 📦 2 · ⏱️ 22.09.2022):
+- [PyPi](https://pypi.org/project/fast-bert) (📥 2.9K / month · 📦 2 · ⏱️ 22.09.2022):
```
pip install fast-bert
```
TextBox (🥉19 · ⭐ 920) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
+finetune (🥉20 · ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/RUCAIBox/TextBox) (👨💻 18 · 🔀 97 · 📦 5 · 📋 45 - 6% open · ⏱️ 25.02.2023):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 20 · 🔀 75 · 📦 9 · 📋 140 - 16% open · ⏱️ 02.03.2023):
```
- git clone https://github.com/RUCAIBox/TextBox
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/textbox) (📥 1 / month · ⏱️ 15.04.2021):
+- [PyPi](https://pypi.org/project/finetune) (📥 160 / month · 📦 2 · ⏱️ 20.12.2021):
```
- pip install textbox
+ pip install finetune
```
finetune (🥉19 · ⭐ 670) - Scikit-learn style model finetuning for NLP. MPL-2.0
+textaugment (🥉19 · ⭐ 300 · 💤) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 20 · 🔀 74 · 📦 9 · 📋 140 - 16% open · ⏱️ 02.03.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (👨💻 6 · 🔀 55 · 📥 54 · 📦 43 · 📋 20 - 35% open · ⏱️ 17.05.2022):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/finetune) (📥 140 / month · 📦 2 · ⏱️ 20.12.2021):
+- [PyPi](https://pypi.org/project/textaugment) (📥 3.9K / month · 📦 1 · ⏱️ 05.11.2020):
```
- pip install finetune
+ pip install textaugment
```
textaugment (🥉19 · ⭐ 310 · 💤) - TextAugment: Text Augmentation Library. MIT
+TextBox (🥉18 · ⭐ 930) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (👨💻 6 · 🔀 55 · 📥 54 · 📦 42 · 📋 20 - 35% open · ⏱️ 17.05.2022):
+- [GitHub](https://github.com/RUCAIBox/TextBox) (👨💻 18 · 🔀 97 · 📦 5 · 📋 45 - 6% open · ⏱️ 25.02.2023):
```
- git clone https://github.com/dsfsi/textaugment
+ git clone https://github.com/RUCAIBox/TextBox
```
-- [PyPi](https://pypi.org/project/textaugment) (📥 3.8K / month · 📦 1 · ⏱️ 05.11.2020):
+- [PyPi](https://pypi.org/project/textbox) (📥 1 / month · ⏱️ 15.04.2021):
```
- pip install textaugment
+ pip install textbox
```
fastT5 (🥉18 · ⭐ 440 · 💤) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
-- [GitHub](https://github.com/Ki6an/fastT5) (👨💻 5 · 🔀 52 · 📦 28 · 📋 56 - 28% open · ⏱️ 05.04.2022):
+- [GitHub](https://github.com/Ki6an/fastT5) (👨💻 5 · 🔀 52 · 📦 28 · 📋 57 - 29% open · ⏱️ 05.04.2022):
```
git clone https://github.com/Ki6an/fastT5
```
-- [PyPi](https://pypi.org/project/fastt5) (📥 1.5K / month · ⏱️ 05.04.2022):
+- [PyPi](https://pypi.org/project/fastt5) (📥 1.4K / month · ⏱️ 05.04.2022):
```
pip install fastt5
```
@@ -2353,7 +2353,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/pytorch/translate
```
-- [PyPi](https://pypi.org/project/pytorch-translate) (📥 17 / month · ⏱️ 01.05.2018):
+- [PyPi](https://pypi.org/project/pytorch-translate) (📥 18 / month · ⏱️ 01.05.2018):
```
pip install pytorch-translate
```
@@ -2365,7 +2365,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (📥 67 / month · ⏱️ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (📥 57 / month · ⏱️ 07.08.2020):
```
pip install vizseq
```
@@ -2373,29 +2373,29 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Show 33 hidden projects...
- ChatterBot (🥇36 · ⭐ 13K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
-- fuzzywuzzy (🥈34 · ⭐ 8.8K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0
+- fuzzywuzzy (🥈34 · ⭐ 8.9K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0
- polyglot (🥈28 · ⭐ 2.1K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0
-- underthesea (🥈28 · ⭐ 1.1K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
-- langid (🥈27 · ⭐ 2K · 💀) - Stand-alone language identification system. BSD-3
+- langid (🥈27 · ⭐ 2.1K · 💀) - Stand-alone language identification system. BSD-3
+- underthesea (🥈27 · ⭐ 1.1K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
- flashtext (🥉26 · ⭐ 5.4K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- neuralcoref (🥉26 · ⭐ 2.7K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- textgenrnn (🥉25 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT Apache-2
+- pytorch-nlp (🥉25 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2 BSD-3 ❗️BSD-1-Clause
- DeepMatcher (🥉23 · ⭐ 4.6K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3
- Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT
+- pySBD (🥉23 · ⭐ 590 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 Apache-2 MIT BSD-3
- pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0
-- textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
- numerizer (🥉19 · ⭐ 200) - A Python module to convert natural language numerics into ints and.. MIT
-- NeuroNER (🥉18 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- textpipe (🥉18 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
+- NeuroNER (🥉17 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- nboost (🥉17 · ⭐ 650 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- skift (🥉17 · ⭐ 230 · 💤) - scikit-learn wrappers for Python fastText. MIT MIT
@@ -2416,12 +2416,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (🥇47 · ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL
-- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 430 · 🔀 2K · 📦 1.1M · 📋 2.8K - 4% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 430 · 🔀 2K · 📦 1.1M · 📋 2.8K - 4% open · ⏱️ 23.03.2023):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (📥 54M / month · 📦 65K · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/Pillow) (📥 55M / month · 📦 65K · ⏱️ 02.01.2023):
```
pip install Pillow
```
@@ -2432,12 +2432,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
scikit-image (🥇44 · ⭐ 5.3K) - Image processing in Python. BSD-2
-- [GitHub](https://github.com/scikit-image/scikit-image) (👨💻 600 · 🔀 2.1K · 📦 130K · 📋 2.6K - 26% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/scikit-image/scikit-image) (👨💻 600 · 🔀 2.1K · 📦 130K · 📋 2.6K - 26% open · ⏱️ 17.03.2023):
```
git clone https://github.com/scikit-image/scikit-image
```
-- [PyPi](https://pypi.org/project/scikit-image) (📥 6.9M / month · 📦 9.9K · ⏱️ 12.06.2022):
+- [PyPi](https://pypi.org/project/scikit-image) (📥 7M / month · 📦 9.9K · ⏱️ 12.06.2022):
```
pip install scikit-image
```
@@ -2446,46 +2446,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge scikit-image
```
torchvision (🥇42 · ⭐ 13K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+torchvision (🥇42 · ⭐ 14K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (👨💻 520 · 🔀 6.6K · 📥 21K · 📋 3K - 29% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pytorch/vision) (👨💻 520 · 🔀 6.6K · 📥 21K · 📋 3K - 29% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (📥 6M / month · 📦 4.1K · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/torchvision) (📥 6.1M / month · 📦 4.1K · ⏱️ 15.12.2022):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 560K · ⏱️ 09.03.2023):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 570K · ⏱️ 09.03.2023):
```
conda install -c conda-forge torchvision
```
PyTorch Image Models (🥇39 · ⭐ 24K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 96 · 🔀 4K · 📥 3.4M · 📦 8.7K · 📋 680 - 10% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 96 · 🔀 4K · 📥 3.5M · 📦 8.9K · 📋 690 - 9% open · ⏱️ 22.03.2023):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (📥 2.9M / month · 📦 200 · ⏱️ 12.01.2023):
+- [PyPi](https://pypi.org/project/timm) (📥 3.1M / month · 📦 200 · ⏱️ 12.01.2023):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (📥 54K · ⏱️ 24.11.2022):
+- [Conda](https://anaconda.org/conda-forge/timm) (📥 55K · ⏱️ 24.11.2022):
```
conda install -c conda-forge timm
```
MMDetection (🥇39 · ⭐ 23K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 390 · 🔀 8.4K · 📦 1K · 📋 6.9K - 9% open · ⏱️ 28.02.2023):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 390 · 🔀 8.5K · 📦 1K · 📋 6.9K - 8% open · ⏱️ 28.02.2023):
```
git clone https://github.com/open-mmlab/mmdetection
```
-- [PyPi](https://pypi.org/project/mmdet) (📥 120K / month · 📦 23 · ⏱️ 01.06.2022):
+- [PyPi](https://pypi.org/project/mmdet) (📥 130K / month · 📦 23 · ⏱️ 01.06.2022):
```
pip install mmdet
```
@@ -2497,7 +2497,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (📥 3.5M / month · 📦 860 · ⏱️ 05.10.2020):
+- [PyPi](https://pypi.org/project/moviepy) (📥 4.9M / month · 📦 860 · ⏱️ 05.10.2020):
```
pip install moviepy
```
@@ -2508,64 +2508,48 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (🥇38 · ⭐ 1.2K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (👨💻 98 · 🔀 250 · 📥 520 · 📦 83K · 📋 540 - 15% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/imageio/imageio) (👨💻 98 · 🔀 250 · 📥 530 · 📦 84K · 📋 530 - 14% open · ⏱️ 20.03.2023):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (📥 17M / month · 📦 2.9K · ⏱️ 23.01.2023):
+- [PyPi](https://pypi.org/project/imageio) (📥 19M / month · 📦 2.9K · ⏱️ 23.01.2023):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (📥 4.5M · ⏱️ 27.02.2023):
+- [Conda](https://anaconda.org/conda-forge/imageio) (📥 4.6M · ⏱️ 27.02.2023):
```
conda install -c conda-forge imageio
```
Kornia (🥈36 · ⭐ 7.9K) - Open Source Differentiable Computer Vision Library. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (👨💻 210 · 🔀 780 · 📥 560 · 📦 3.4K · 📋 740 - 30% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/kornia/kornia) (👨💻 210 · 🔀 790 · 📥 570 · 📦 3.4K · 📋 740 - 30% open · ⏱️ 23.03.2023):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (📥 2.2M / month · 📦 80 · ⏱️ 21.12.2022):
+- [PyPi](https://pypi.org/project/kornia) (📥 2.4M / month · 📦 80 · ⏱️ 21.12.2022):
```
pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (📥 67K · ⏱️ 28.02.2023):
+- [Conda](https://anaconda.org/conda-forge/kornia) (📥 68K · ⏱️ 28.02.2023):
```
conda install -c conda-forge kornia
```
InsightFace (🥈35 · ⭐ 14K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (👨💻 52 · 🔀 4.2K · 📦 270 · 📋 2.1K - 57% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/deepinsight/insightface) (👨💻 53 · 🔀 4.2K · 📦 270 · 📋 2.2K - 56% open · ⏱️ 20.03.2023):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (📥 35K / month · 📦 7 · ⏱️ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (📥 30K / month · 📦 7 · ⏱️ 17.12.2022):
```
pip install insightface
```
Albumentations (🥈35 · ⭐ 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
-
-- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 130 · 🔀 1.5K · 📦 13K · 📋 770 - 46% open · ⏱️ 08.03.2023):
-
- ```
- git clone https://github.com/albumentations-team/albumentations
- ```
-- [PyPi](https://pypi.org/project/albumentations) (📥 630K / month · 📦 280 · ⏱️ 20.09.2022):
- ```
- pip install albumentations
- ```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 97K · ⏱️ 20.09.2022):
- ```
- conda install -c conda-forge albumentations
- ```
-Wand (🥈35 · ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
- [GitHub](https://github.com/emcconville/wand) (👨💻 100 · 🔀 200 · 📥 11K · 📦 15K · 📋 400 - 6% open · ⏱️ 05.03.2023):
@@ -2573,7 +2557,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (📥 630K / month · 📦 700 · ⏱️ 05.01.2023):
+- [PyPi](https://pypi.org/project/wand) (📥 640K / month · 📦 700 · ⏱️ 05.01.2023):
```
pip install wand
```
@@ -2584,7 +2568,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (🥈34 · ⭐ 24K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 240 · 🔀 6.4K · 📦 940 · 📋 3.3K - 10% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 240 · 🔀 6.4K · 📦 960 · 📋 3.3K - 10% open · ⏱️ 16.03.2023):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2598,9 +2582,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge detectron2
```
PaddleDetection (🥈34 · ⭐ 9.7K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+Albumentations (🥈34 · ⭐ 12K · 📉) - Fast image augmentation library and an easy-to-use.. MIT
+
+- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 130 · 🔀 1.5K · 📦 13K · 📋 770 - 46% open · ⏱️ 08.03.2023):
+
+ ```
+ git clone https://github.com/albumentations-team/albumentations
+ ```
+- [PyPi](https://pypi.org/project/albumentations) (📥 660K / month · 📦 280 · ⏱️ 20.09.2022):
+ ```
+ pip install albumentations
+ ```
+- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 99K · ⏱️ 20.09.2022):
+ ```
+ conda install -c conda-forge albumentations
+ ```
+PaddleDetection (🥈34 · ⭐ 9.8K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 140 · 🔀 2.5K · 📦 59 · 📋 4.6K - 20% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 140 · 🔀 2.5K · 📦 59 · 📋 4.7K - 20% open · ⏱️ 16.03.2023):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
@@ -2610,14 +2610,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install paddledet
```
deepface (🥈34 · ⭐ 5.8K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+deepface (🥈34 · ⭐ 5.9K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
- [GitHub](https://github.com/serengil/deepface) (👨💻 37 · 🔀 1.2K · 📦 1.2K · 📋 640 - 0% open · ⏱️ 09.03.2023):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (📥 96K / month · 📦 9 · ⏱️ 24.01.2023):
+- [PyPi](https://pypi.org/project/deepface) (📥 98K / month · 📦 9 · ⏱️ 24.01.2023):
```
pip install deepface
```
@@ -2629,51 +2629,51 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/opencv/opencv-python
```
-- [PyPi](https://pypi.org/project/opencv-python) (📥 8.8M / month · 📦 10K · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/opencv-python) (📥 9.2M / month · 📦 10K · ⏱️ 02.01.2023):
```
pip install opencv-python
```
imageai (🥈33 · ⭐ 7.6K) - A python library built to empower developers to build applications and.. MIT
+Face Recognition (🥈32 · ⭐ 48K · 💤) - The worlds simplest facial recognition api for Python.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 17 · 🔀 2.1K · 📥 830K · 📦 1.3K · 📋 740 - 40% open · ⏱️ 03.03.2023):
+- [GitHub](https://github.com/ageitgey/face_recognition) (👨💻 54 · 🔀 13K · 📥 1.1K · 📋 1.3K - 55% open · ⏱️ 10.06.2022):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
+ git clone https://github.com/ageitgey/face_recognition
```
-- [PyPi](https://pypi.org/project/imageai) (📥 10K / month · 📦 18 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/face_recognition) (📥 59K / month · 📦 55 · ⏱️ 20.02.2020):
```
- pip install imageai
+ pip install face_recognition
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (📥 5.1K · ⏱️ 30.04.2021):
+- [Conda](https://anaconda.org/conda-forge/face_recognition) (📥 14K · ⏱️ 30.04.2021):
```
- conda install -c conda-forge imageai
+ conda install -c conda-forge face_recognition
```
Face Recognition (🥈32 · ⭐ 48K · 💤) - The worlds simplest facial recognition api for Python.. MIT
+imageai (🥈32 · ⭐ 7.6K) - A python library built to empower developers to build applications and.. MIT
-- [GitHub](https://github.com/ageitgey/face_recognition) (👨💻 54 · 🔀 13K · 📥 1K · 📋 1.3K - 55% open · ⏱️ 10.06.2022):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 17 · 🔀 2.1K · 📥 840K · 📦 1.3K · 📋 740 - 40% open · ⏱️ 03.03.2023):
```
- git clone https://github.com/ageitgey/face_recognition
+ git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/face_recognition) (📥 57K / month · 📦 55 · ⏱️ 20.02.2020):
+- [PyPi](https://pypi.org/project/imageai) (📥 10K / month · 📦 18 · ⏱️ 02.01.2023):
```
- pip install face_recognition
+ pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/face_recognition) (📥 14K · ⏱️ 30.04.2021):
+- [Conda](https://anaconda.org/conda-forge/imageai) (📥 5.1K · ⏱️ 30.04.2021):
```
- conda install -c conda-forge face_recognition
+ conda install -c conda-forge imageai
```
PaddleSeg (🥈32 · ⭐ 6.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 96 · 🔀 1.4K · 📦 830 · 📋 1.6K - 10% open · ⏱️ 27.02.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 96 · 🔀 1.4K · 📦 840 · 📋 1.6K - 10% open · ⏱️ 27.02.2023):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (📥 4.7K / month · 📦 3 · ⏱️ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (📥 4.8K / month · 📦 3 · ⏱️ 30.11.2022):
```
pip install paddleseg
```
@@ -2685,19 +2685,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/dmlc/gluon-cv
```
-- [PyPi](https://pypi.org/project/gluoncv) (📥 540K / month · 📦 59 · ⏱️ 03.10.2022):
+- [PyPi](https://pypi.org/project/gluoncv) (📥 560K / month · 📦 59 · ⏱️ 03.10.2022):
```
pip install gluoncv
```
ImageHash (🥈31 · ⭐ 2.7K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 25 · 🔀 320 · 📦 8.2K · 📋 120 - 7% open · ⏱️ 07.02.2023):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 25 · 🔀 320 · 📦 8.3K · 📋 120 - 7% open · ⏱️ 07.02.2023):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (📥 1.4M / month · 📦 360 · ⏱️ 28.09.2022):
+- [PyPi](https://pypi.org/project/ImageHash) (📥 1.3M / month · 📦 360 · ⏱️ 28.09.2022):
```
pip install ImageHash
```
@@ -2708,7 +2708,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (🥈29 · ⭐ 13K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 17 · 🔀 2.2K · 📦 210 · 📋 220 - 47% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 17 · 🔀 2.2K · 📦 220 · 📋 220 - 47% open · ⏱️ 19.03.2023):
```
git clone https://github.com/lucidrains/vit-pytorch
@@ -2720,76 +2720,76 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vidgear (🥈29 · ⭐ 2.7K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 13 · 🔀 210 · 📥 760 · 📦 360 · 📋 250 - 1% open · ⏱️ 26.01.2023):
+- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 13 · 🔀 220 · 📥 760 · 📦 360 · 📋 250 - 1% open · ⏱️ 26.01.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/vidgear) (📥 4.8K / month · 📦 7 · ⏱️ 26.01.2023):
+- [PyPi](https://pypi.org/project/vidgear) (📥 5K / month · 📦 7 · ⏱️ 26.01.2023):
```
pip install vidgear
```
sahi (🥈29 · ⭐ 2.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/obss/sahi) (👨💻 25 · 🔀 380 · 📥 13K · 📦 330 · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/obss/sahi) (👨💻 26 · 🔀 380 · 📥 13K · 📦 340 · ⏱️ 21.03.2023):
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (📥 120K / month · 📦 10 · ⏱️ 15.01.2023):
+- [PyPi](https://pypi.org/project/sahi) (📥 97K / month · 📦 10 · ⏱️ 15.01.2023):
```
pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (📥 29K · ⏱️ 07.03.2023):
+- [Conda](https://anaconda.org/conda-forge/sahi) (📥 30K · ⏱️ 07.03.2023):
```
conda install -c conda-forge sahi
```
lightly (🥈29 · ⭐ 2.2K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 24 · 🔀 180 · 📦 97 · 📋 360 - 12% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 26 · 🔀 180 · 📦 99 · 📋 360 - 12% open · ⏱️ 23.03.2023):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (📥 5.8K / month · 📦 3 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/lightly) (📥 5.7K / month · 📦 3 · ⏱️ 31.01.2023):
```
pip install lightly
```
Norfair (🥉28 · ⭐ 1.8K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/tryolabs/norfair) (👨💻 24 · 🔀 180 · 📥 250 · 📦 97 · 📋 120 - 2% open · ⏱️ 09.02.2023):
+- [GitHub](https://github.com/tryolabs/norfair) (👨💻 24 · 🔀 180 · 📥 250 · 📦 99 · 📋 120 - 2% open · ⏱️ 09.02.2023):
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (📥 13K / month · 📦 1 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/norfair) (📥 18K / month · 📦 1 · ⏱️ 04.01.2023):
```
pip install norfair
```
CellProfiler (🥉28 · ⭐ 750) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 130 · 🔀 350 · 📥 4.7K · 📦 16 · 📋 3.2K - 7% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 130 · 🔀 350 · 📥 4.7K · 📦 16 · 📋 3.2K - 7% open · ⏱️ 20.03.2023):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (📥 560 / month · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/cellprofiler) (📥 460 / month · ⏱️ 15.12.2022):
```
pip install cellprofiler
```
doctr (🥉27 · ⭐ 1.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+doctr (🥉27 · ⭐ 1.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (👨💻 29 · 🔀 210 · 📥 1.1M · 📦 120 · 📋 240 - 21% open · ⏱️ 15.02.2023):
+- [GitHub](https://github.com/mindee/doctr) (👨💻 29 · 🔀 220 · 📥 1.1M · 📦 120 · 📋 240 - 21% open · ⏱️ 15.02.2023):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (📥 6.7K / month · 📦 2 · ⏱️ 29.09.2022):
+- [PyPi](https://pypi.org/project/python-doctr) (📥 6.3K / month · 📦 2 · ⏱️ 29.09.2022):
```
pip install python-doctr
```
@@ -2801,7 +2801,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (📥 9.8K / month · 📦 120 · ⏱️ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (📥 10K / month · 📦 120 · ⏱️ 28.06.2022):
```
pip install mahotas
```
@@ -2812,7 +2812,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Augmentor (🥉26 · ⭐ 4.9K) - Image augmentation library in Python for machine learning. MIT
-- [GitHub](https://github.com/mdbloice/Augmentor) (👨💻 23 · 🔀 850 · 📦 560 · 📋 200 - 63% open · ⏱️ 24.01.2023):
+- [GitHub](https://github.com/mdbloice/Augmentor) (👨💻 23 · 🔀 850 · 📦 570 · 📋 200 - 63% open · ⏱️ 24.01.2023):
```
git clone https://github.com/mdbloice/Augmentor
@@ -2829,7 +2829,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (📥 12K / month · ⏱️ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (📥 13K / month · ⏱️ 28.01.2022):
```
pip install ffcv
```
@@ -2841,11 +2841,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (📥 320 / month · 📦 1 · ⏱️ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (📥 350 / month · 📦 1 · ⏱️ 12.06.2020):
```
pip install mmf
```
layout-parser (🥉25 · ⭐ 3.5K · 💤) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+
+- [GitHub](https://github.com/Layout-Parser/layout-parser) (👨💻 8 · 🔀 350 · 📦 160 · 📋 130 - 58% open · ⏱️ 06.08.2022):
+
+ ```
+ git clone https://github.com/Layout-Parser/layout-parser
+ ```
+- [PyPi](https://pypi.org/project/layoutparser) (📥 42K / month · 📦 5 · ⏱️ 06.04.2022):
+ ```
+ pip install layoutparser
+ ```
+pyvips (🥉25 · ⭐ 490) - python binding for libvips using cffi. MIT
- [GitHub](https://github.com/libvips/pyvips) (👨💻 15 · 🔀 46 · 📦 490 · 📋 340 - 38% open · ⏱️ 28.02.2023):
@@ -2853,7 +2865,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (📥 31K / month · 📦 40 · ⏱️ 12.06.2022):
+- [PyPi](https://pypi.org/project/pyvips) (📥 32K / month · 📦 40 · ⏱️ 12.06.2022):
```
pip install pyvips
```
@@ -2862,45 +2874,33 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge pyvips
```
Image Deduplicator (🥉24 · ⭐ 4.4K) - Finding duplicate images made easy!. Apache-2
+Image Deduplicator (🥉24 · ⭐ 4.5K) - Finding duplicate images made easy!. Apache-2
- [GitHub](https://github.com/idealo/imagededup) (👨💻 13 · 🔀 400 · 📦 36 · 📋 130 - 37% open · ⏱️ 10.01.2023):
```
git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/imagededup) (📥 1.8K / month · 📦 4 · ⏱️ 16.01.2023):
+- [PyPi](https://pypi.org/project/imagededup) (📥 1.7K / month · 📦 4 · ⏱️ 16.01.2023):
```
pip install imagededup
```
segmentation_models (🥉24 · ⭐ 4.2K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT
+segmentation_models (🥉24 · ⭐ 4.3K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/qubvel/segmentation_models) (👨💻 14 · 🔀 950 · 📋 510 - 47% open · ⏱️ 29.07.2022):
+- [GitHub](https://github.com/qubvel/segmentation_models) (👨💻 14 · 🔀 960 · 📋 510 - 47% open · ⏱️ 29.07.2022):
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (📥 23K / month · 📦 24 · ⏱️ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (📥 22K / month · 📦 24 · ⏱️ 10.01.2020):
```
pip install segmentation_models
```
layout-parser (🥉24 · ⭐ 3.5K · 💤) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+pytorchvideo (🥉24 · ⭐ 2.8K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/Layout-Parser/layout-parser) (👨💻 8 · 🔀 350 · 📦 160 · 📋 130 - 57% open · ⏱️ 06.08.2022):
-
- ```
- git clone https://github.com/Layout-Parser/layout-parser
- ```
-- [PyPi](https://pypi.org/project/layoutparser) (📥 43K / month · 📦 5 · ⏱️ 06.04.2022):
- ```
- pip install layoutparser
- ```
-pytorchvideo (🥉24 · ⭐ 2.8K) - A deep learning library for video understanding research. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 50 · 🔀 340 · 📋 180 - 45% open · ⏱️ 27.02.2023):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 50 · 🔀 340 · 📋 180 - 45% open · ⏱️ 27.02.2023):
```
git clone https://github.com/facebookresearch/pytorchvideo
@@ -2922,18 +2922,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install deep-daze
```
tensorflow-graphics (🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 14.02.2023):
-
- ```
- git clone https://github.com/tensorflow/graphics
- ```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 3.7K / month · 📦 5 · ⏱️ 03.12.2021):
- ```
- pip install tensorflow-graphics
- ```
-kubric (🥉23 · ⭐ 1.8K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
- [GitHub](https://github.com/google-research/kubric) (👨💻 23 · 🔀 160 · 📦 2 · 📋 170 - 30% open · ⏱️ 09.03.2023):
@@ -2941,19 +2929,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (📥 5.2K / month · ⏱️ 06.07.2022):
+- [PyPi](https://pypi.org/project/kubric-nightly) (📥 5.1K / month · ⏱️ 06.07.2022):
```
pip install kubric-nightly
```
Classy Vision (🥉23 · ⭐ 1.5K) - An end-to-end PyTorch framework for image and video.. MIT
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (👨💻 77 · 🔀 280 · 📋 120 - 45% open · ⏱️ 27.09.2022):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (👨💻 77 · 🔀 280 · 📋 120 - 46% open · ⏱️ 21.03.2023):
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- [PyPi](https://pypi.org/project/classy_vision) (📥 1.3K / month · 📦 4 · ⏱️ 09.07.2021):
+- [PyPi](https://pypi.org/project/classy_vision) (📥 1.8K / month · 📦 4 · ⏱️ 09.07.2021):
```
pip install classy_vision
```
@@ -2969,7 +2957,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (📥 3.8K / month · 📦 5 · ⏱️ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (📥 3.4K / month · 📦 6 · ⏱️ 10.02.2022):
```
pip install icevision
```
@@ -2981,11 +2969,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (📥 370 / month · 📦 1 · ⏱️ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (📥 380 / month · 📦 1 · ⏱️ 02.11.2021):
```
pip install vissl
```
tensorflow-graphics (🥉22 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+
+- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 14.02.2023):
+
+ ```
+ git clone https://github.com/tensorflow/graphics
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 3.9K / month · 📦 5 · ⏱️ 03.12.2021):
+ ```
+ pip install tensorflow-graphics
+ ```
+pycls (🥉21 · ⭐ 2K · 💤) - Codebase for Image Classification Research, written in PyTorch. MIT
- [GitHub](https://github.com/facebookresearch/pycls) (👨💻 17 · 🔀 230 · 📦 10 · 📋 81 - 30% open · ⏱️ 12.07.2022):
@@ -2993,7 +2993,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/pycls
```
-- [PyPi](https://pypi.org/project/pycls) (📥 43K / month · ⏱️ 05.09.2020):
+- [PyPi](https://pypi.org/project/pycls) (📥 52K / month · ⏱️ 05.09.2020):
```
pip install pycls
```
@@ -3005,7 +3005,7 @@ _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) (📥 740 / month · 📦 4 · ⏱️ 13.02.2017):
+- [PyPi](https://pypi.org/project/image_match) (📥 730 / month · 📦 4 · ⏱️ 13.02.2017):
```
pip install image_match
```
@@ -3020,19 +3020,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PySlowFast (🥉19 · ⭐ 5.5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 29 · 🔀 1.1K · 📦 10 · 📋 600 - 55% open · ⏱️ 12.01.2023):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 29 · 🔀 1.1K · 📦 10 · 📋 600 - 54% open · ⏱️ 12.01.2023):
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (📥 12 / month · ⏱️ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (📥 16 / month · ⏱️ 15.01.2020):
```
pip install pyslowfast
```
scenic (🥉19 · ⭐ 1.8K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (🥉19 · ⭐ 2K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (👨💻 61 · 🔀 260 · 📋 190 - 66% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/google-research/scenic) (👨💻 62 · 🔀 270 · 📋 190 - 66% open · ⏱️ 22.03.2023):
```
git clone https://github.com/google-research/scenic
@@ -3043,7 +3043,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- imgaug (🥈34 · ⭐ 13K · 💀) - Image augmentation for machine learning experiments. MIT
- glfw (🥈34 · ⭐ 10K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib
- imutils (🥈31 · ⭐ 4.3K · 💀) - A series of convenience functions to make basic image processing.. MIT
-- PyTorch3D (🥈29 · ⭐ 7K) - PyTorch3D is FAIRs library of reusable components for deep.. ❗Unlicensed ❗Unlicensed ❗️PIL
- Face Alignment (🥉27 · ⭐ 6.2K · 💀) - 2D and 3D Face alignment library build using pytorch. BSD-3 MIT
@@ -3056,7 +3056,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- solt (🥉18 · ⭐ 260 · 💤) - Streaming over lightweight data transformations. MIT
- Caer (🥉17 · ⭐ 680 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
- HugsVision (🥉16 · ⭐ 180) - HugsVision is a easy to use huggingface wrapper for state-of-the-.. MIT huggingface
-- Torch Points 3D (🥉16 · ⭐ 130 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 BSD-3
@@ -3068,7 +3068,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (🥇43 · ⭐ 12K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (👨💻 640 · 🔀 2.9K · 📥 63 · 📦 150K · 📋 3.1K - 12% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/networkx/networkx) (👨💻 640 · 🔀 2.9K · 📥 64 · 📦 150K · 📋 3.1K - 12% open · ⏱️ 21.03.2023):
```
git clone https://github.com/networkx/networkx
@@ -3084,12 +3084,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (🥇38 · ⭐ 17K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 380 · 🔀 3.1K · 📋 3K - 24% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 390 · 🔀 3.2K · 📋 3K - 24% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (📥 150K / month · 📦 69 · ⏱️ 01.12.2022):
+- [PyPi](https://pypi.org/project/torch-geometric) (📥 160K / month · 📦 69 · ⏱️ 01.12.2022):
```
pip install torch-geometric
```
@@ -3100,24 +3100,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (🥇37 · ⭐ 11K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (👨💻 260 · 🔀 2.7K · 📦 65 · 📋 2.2K - 16% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/dmlc/dgl) (👨💻 260 · 🔀 2.7K · 📦 68 · 📋 2.2K - 16% open · ⏱️ 23.03.2023):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (📥 46K / month · 📦 63 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/dgl) (📥 50K / month · 📦 64 · ⏱️ 20.09.2022):
```
pip install dgl
```
Spektral (🥈28 · ⭐ 2.2K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/danielegrattarola/spektral) (👨💻 26 · 🔀 330 · 📦 190 · 📋 260 - 22% open · ⏱️ 11.02.2023):
+- [GitHub](https://github.com/danielegrattarola/spektral) (👨💻 26 · 🔀 330 · 📦 190 · 📋 260 - 23% open · ⏱️ 11.02.2023):
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (📥 6.3K / month · 📦 3 · ⏱️ 22.07.2022):
+- [PyPi](https://pypi.org/project/spektral) (📥 6.6K / month · 📦 3 · ⏱️ 22.07.2022):
```
pip install spektral
```
@@ -3129,14 +3129,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (📥 620 / month · ⏱️ 25.05.2021):
+- [PyPi](https://pypi.org/project/ampligraph) (📥 670 / month · ⏱️ 25.05.2021):
```
pip install ampligraph
```
ogb (🥈28 · ⭐ 1.6K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 24 · 🔀 360 · 📦 670 · 📋 250 - 2% open · ⏱️ 27.01.2023):
+- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 24 · 🔀 360 · 📦 690 · 📋 250 - 3% open · ⏱️ 27.01.2023):
```
git clone https://github.com/snap-stanford/ogb
@@ -3145,45 +3145,45 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
pip install ogb
```
-- [Conda](https://anaconda.org/conda-forge/ogb) (📥 20K · ⏱️ 03.11.2022):
+- [Conda](https://anaconda.org/conda-forge/ogb) (📥 21K · ⏱️ 03.11.2022):
```
conda install -c conda-forge ogb
```
PyKEEN (🥈27 · ⭐ 1.2K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (👨💻 35 · 🔀 160 · 📥 150 · 📋 500 - 19% open · ⏱️ 22.02.2023):
+- [GitHub](https://github.com/pykeen/pykeen) (👨💻 35 · 🔀 160 · 📥 150 · 📋 500 - 19% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (📥 2.1K / month · 📦 5 · ⏱️ 22.02.2023):
+- [PyPi](https://pypi.org/project/pykeen) (📥 2.2K / month · 📦 5 · ⏱️ 22.02.2023):
```
pip install pykeen
```
Paddle Graph Learning (🥈26 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+pygraphistry (🥈26 · ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/PaddlePaddle/PGL) (👨💻 29 · 🔀 300 · 📦 38 · 📋 190 - 40% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 31 · 🔀 190 · 📦 85 · 📋 260 - 49% open · ⏱️ 23.12.2022):
```
- git clone https://github.com/PaddlePaddle/PGL
+ git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/pgl) (📥 2.6K / month · 📦 2 · ⏱️ 03.08.2022):
+- [PyPi](https://pypi.org/project/graphistry) (📥 2.2K / month · 📦 5 · ⏱️ 23.12.2022):
```
- pip install pgl
+ pip install graphistry
```
pygraphistry (🥈25 · ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+Paddle Graph Learning (🥈26 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
-- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 31 · 🔀 190 · 📦 85 · 📋 260 - 49% open · ⏱️ 23.12.2022):
+- [GitHub](https://github.com/PaddlePaddle/PGL) (👨💻 29 · 🔀 300 · 📦 38 · 📋 190 - 40% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/graphistry/pygraphistry
+ git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/graphistry) (📥 2.1K / month · 📦 5 · ⏱️ 23.12.2022):
+- [PyPi](https://pypi.org/project/pgl) (📥 2.3K / month · 📦 2 · ⏱️ 03.08.2022):
```
- pip install graphistry
+ pip install pgl
```
PyTorch-BigGraph (🥈24 · ⭐ 3.2K) - Generate embeddings from large-scale graph-structured.. BSD-3
@@ -3193,7 +3193,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (📥 160K / month · 📦 3 · ⏱️ 01.05.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (📥 170K / month · 📦 3 · ⏱️ 01.05.2019):
```
pip install torchbiggraph
```
@@ -3216,106 +3216,106 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pytorch_geometric_temporal (🥉23 · ⭐ 2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 26 · 🔀 280 · 📋 140 - 12% open · ⏱️ 18.02.2023):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 26 · 🔀 280 · 📋 140 - 15% open · ⏱️ 18.02.2023):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 2.7K / month · 📦 2 · ⏱️ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 2.8K / month · 📦 2 · ⏱️ 04.09.2022):
```
pip install torch-geometric-temporal
```
graph4nlp (🥉22 · ⭐ 1.5K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2
+torch-cluster (🥉23 · ⭐ 620 · 📈) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/graph4ai/graph4nlp) (👨💻 27 · 🔀 190 · 📋 170 - 6% open · ⏱️ 13.11.2022):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 28 · 🔀 110 · 📋 130 - 19% open · ⏱️ 16.03.2023):
```
- git clone https://github.com/graph4ai/graph4nlp
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/graph4nlp) (📥 120 / month · ⏱️ 20.01.2022):
+- [PyPi](https://pypi.org/project/torch-cluster) (📥 14K / month · 📦 36 · ⏱️ 11.03.2022):
```
- pip install graph4nlp
+ pip install torch-cluster
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 53K · ⏱️ 23.03.2023):
+ ```
+ conda install -c conda-forge pytorch_cluster
```
jraph (🥉21 · ⭐ 1.1K · 💤) - A Graph Neural Network Library in Jax. Apache-2
+graph4nlp (🥉22 · ⭐ 1.6K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2
-- [GitHub](https://github.com/deepmind/jraph) (👨💻 17 · 🔀 72 · 📦 63 · 📋 35 - 25% open · ⏱️ 31.08.2022):
+- [GitHub](https://github.com/graph4ai/graph4nlp) (👨💻 27 · 🔀 190 · 📋 170 - 6% open · ⏱️ 13.11.2022):
```
- git clone https://github.com/deepmind/jraph
- ```
-- [PyPi](https://pypi.org/project/jraph) (📥 3.9K / month · 📦 5 · ⏱️ 12.08.2022):
- ```
- pip install jraph
+ git clone https://github.com/graph4ai/graph4nlp
```
-- [Conda](https://anaconda.org/conda-forge/jraph) (📥 1.5K · ⏱️ 31.10.2021):
+- [PyPi](https://pypi.org/project/graph4nlp) (📥 120 / month · ⏱️ 20.01.2022):
```
- conda install -c conda-forge jraph
+ pip install graph4nlp
```
torch-cluster (🥉21 · ⭐ 620) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+graph-nets (🥉21 · ⭐ 5.2K) - Build Graph Nets in Tensorflow. Apache-2
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 28 · 🔀 110 · 📋 120 - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/deepmind/graph_nets) (👨💻 11 · 🔀 780 · 📋 130 - 3% open · ⏱️ 12.12.2022):
```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (📥 11K / month · 📦 30 · ⏱️ 11.03.2022):
- ```
- pip install torch-cluster
+ git clone https://github.com/deepmind/graph_nets
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 52K · ⏱️ 28.12.2022):
+- [PyPi](https://pypi.org/project/graph-nets) (📥 1.2K / month · 📦 8 · ⏱️ 29.01.2020):
```
- conda install -c conda-forge pytorch_cluster
+ pip install graph-nets
```
graph-nets (🥉20 · ⭐ 5.2K) - Build Graph Nets in Tensorflow. Apache-2
+jraph (🥉21 · ⭐ 1.1K · 💤) - A Graph Neural Network Library in Jax. Apache-2
-- [GitHub](https://github.com/deepmind/graph_nets) (👨💻 11 · 🔀 780 · 📋 130 - 3% open · ⏱️ 12.12.2022):
+- [GitHub](https://github.com/deepmind/jraph) (👨💻 17 · 🔀 72 · 📦 63 · 📋 35 - 25% open · ⏱️ 31.08.2022):
```
- git clone https://github.com/deepmind/graph_nets
+ git clone https://github.com/deepmind/jraph
```
-- [PyPi](https://pypi.org/project/graph-nets) (📥 1.1K / month · 📦 8 · ⏱️ 29.01.2020):
+- [PyPi](https://pypi.org/project/jraph) (📥 5.7K / month · 📦 5 · ⏱️ 12.08.2022):
```
- pip install graph-nets
+ pip install jraph
+ ```
+- [Conda](https://anaconda.org/conda-forge/jraph) (📥 1.5K · ⏱️ 31.10.2021):
+ ```
+ conda install -c conda-forge jraph
```
deepsnap (🥉20 · ⭐ 460) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (👨💻 16 · 🔀 49 · 📥 8 · 📦 42 · 📋 42 - 42% open · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (👨💻 16 · 🔀 49 · 📥 8 · 📦 44 · 📋 42 - 42% open · ⏱️ 05.03.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (📥 790 / month · 📦 1 · ⏱️ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (📥 800 / month · 📦 1 · ⏱️ 05.09.2021):
```
pip install deepsnap
```
AutoGL (🥉19 · ⭐ 900) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+GraphGym (🥉18 · ⭐ 1.3K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-- [GitHub](https://github.com/THUMNLab/AutoGL) (👨💻 15 · 🔀 110 · 📋 28 - 25% open · ⏱️ 30.12.2022):
+- [GitHub](https://github.com/snap-stanford/GraphGym) (👨💻 6 · 🔀 160 · 📥 21 · 📦 2 · 📋 39 - 30% open · ⏱️ 14.03.2023):
```
- git clone https://github.com/THUMNLab/AutoGL
+ git clone https://github.com/snap-stanford/GraphGym
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020):
+- [PyPi](https://pypi.org/project/graphgym) (📥 84 / month · ⏱️ 24.03.2022):
```
- pip install auto-graph-learning
+ pip install graphgym
```
GraphGym (🥉18 · ⭐ 1.3K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+AutoGL (🥉18 · ⭐ 910) - An autoML framework & toolkit for machine learning on graphs. Apache-2
-- [GitHub](https://github.com/snap-stanford/GraphGym) (👨💻 6 · 🔀 150 · 📥 21 · 📦 2 · 📋 39 - 30% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (👨💻 15 · 🔀 110 · 📋 28 - 25% open · ⏱️ 30.12.2022):
```
- git clone https://github.com/snap-stanford/GraphGym
+ git clone https://github.com/THUMNLab/AutoGL
```
-- [PyPi](https://pypi.org/project/graphgym) (📥 72 / month · ⏱️ 24.03.2022):
+- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020):
```
- pip install graphgym
+ pip install auto-graph-learning
```
GraphEmbedding (🥉16 · ⭐ 3.2K · 💤) - Implementation and experiments of graph embedding.. MIT
@@ -3333,14 +3333,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (📥 99 / month · ⏱️ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (📥 97 / month · ⏱️ 19.08.2020):
```
pip install grakn-kglib
```
OpenKE (🥉15 · ⭐ 3.4K) - An Open-Source Package for Knowledge Embedding (KE). MIT
-- [GitHub](https://github.com/thunlp/OpenKE) (👨💻 11 · 🔀 920 · 📋 360 - 3% open · ⏱️ 03.11.2022):
+- [GitHub](https://github.com/thunlp/OpenKE) (👨💻 11 · 🔀 920 · 📋 360 - 2% open · ⏱️ 03.11.2022):
```
git clone https://github.com/thunlp/OpenKE
@@ -3360,7 +3360,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- StellarGraph (🥈29 · ⭐ 2.6K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 ❗️LGPL-3.0
- Karate Club (🥈24 · ⭐ 1.8K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0
-- DIG (🥉22 · ⭐ 1.4K) - A library for graph deep learning research. ❗️GPL-3.0
+- DIG (🥉23 · ⭐ 1.4K) - A library for graph deep learning research. ❗️GPL-3.0
- DeepWalk (🥉21 · ⭐ 2.5K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0
- pyRDF2Vec (🥉20 · ⭐ 180) - Python Implementation and Extension of RDF2Vec. MIT
- Sematch (🥉18 · ⭐ 400 · 💀) - semantic similarity framework for knowledge graph. Apache-2
@@ -3378,38 +3378,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-espnet (🥇36 · ⭐ 6.2K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (🥇37 · ⭐ 6.2K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (👨💻 340 · 🔀 1.9K · 📥 77 · 📦 130 · 📋 2.1K - 20% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/espnet/espnet) (👨💻 340 · 🔀 1.9K · 📥 77 · 📦 130 · 📋 2.1K - 20% open · ⏱️ 23.03.2023):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (📥 19K / month · 📦 5 · ⏱️ 28.05.2022):
+- [PyPi](https://pypi.org/project/espnet) (📥 18K / month · 📦 5 · ⏱️ 28.05.2022):
```
pip install espnet
```
torchaudio (🥇35 · ⭐ 2K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/pytorch/audio) (👨💻 200 · 🔀 530 · 📋 810 - 28% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pytorch/audio) (👨💻 200 · 🔀 530 · 📋 820 - 27% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (📥 700K / month · 📦 270 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/torchaudio) (📥 780K / month · 📦 270 · ⏱️ 15.12.2022):
```
pip install torchaudio
```
Pydub (🥇34 · ⭐ 6.9K) - Manipulate audio with a simple and easy high level interface. MIT
+Pydub (🥇34 · ⭐ 7K) - Manipulate audio with a simple and easy high level interface. MIT
- [GitHub](https://github.com/jiaaro/pydub) (👨💻 95 · 🔀 900 · 📦 20K · 📋 540 - 51% open · ⏱️ 08.12.2022):
```
git clone https://github.com/jiaaro/pydub
```
-- [PyPi](https://pypi.org/project/pydub) (📥 5.4M / month · 📦 900 · ⏱️ 10.03.2021):
+- [PyPi](https://pypi.org/project/pydub) (📥 6M / month · 📦 1K · ⏱️ 10.03.2021):
```
pip install pydub
```
@@ -3418,46 +3418,46 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge pydub
```
librosa (🥇34 · ⭐ 5.7K) - Python library for audio and music analysis. ISC
+SpeechRecognition (🥇34 · ⭐ 6.9K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/librosa/librosa) (👨💻 110 · 🔀 870 · 📋 1.1K - 3% open · ⏱️ 27.02.2023):
+- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 49 · 🔀 2.2K · 📋 580 - 48% open · ⏱️ 13.03.2023):
```
- git clone https://github.com/librosa/librosa
+ git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/librosa) (📥 1.6M / month · 📦 1.3K · ⏱️ 27.06.2022):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 440K / month · 📦 760 · ⏱️ 04.12.2022):
```
- pip install librosa
+ pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (📥 590K · ⏱️ 16.03.2023):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 160K · ⏱️ 14.03.2023):
```
- conda install -c conda-forge librosa
+ conda install -c conda-forge speechrecognition
```
SpeechRecognition (🥈33 · ⭐ 6.9K) - Speech recognition module for Python, supporting several.. BSD-3
+librosa (🥈33 · ⭐ 5.8K · 📉) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 49 · 🔀 2.2K · 📋 580 - 48% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/librosa/librosa) (👨💻 110 · 🔀 880 · 📋 1.1K - 4% open · ⏱️ 17.03.2023):
```
- git clone https://github.com/Uberi/speech_recognition
+ git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 430K / month · 📦 760 · ⏱️ 04.12.2022):
+- [PyPi](https://pypi.org/project/librosa) (📥 1.6M / month · 📦 1.3K · ⏱️ 27.06.2022):
```
- pip install SpeechRecognition
+ pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 160K · ⏱️ 14.03.2023):
+- [Conda](https://anaconda.org/conda-forge/librosa) (📥 600K · ⏱️ 17.03.2023):
```
- conda install -c conda-forge speechrecognition
+ conda install -c conda-forge librosa
```
speechbrain (🥈33 · ⭐ 5.5K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 200 · 🔀 1K · 📦 530 · 📋 900 - 17% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 200 · 🔀 1K · 📦 540 · 📋 910 - 18% open · ⏱️ 22.03.2023):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (📥 54K / month · 📦 7 · ⏱️ 29.08.2022):
+- [PyPi](https://pypi.org/project/speechbrain) (📥 58K / month · 📦 10 · ⏱️ 29.08.2022):
```
pip install speechbrain
```
@@ -3469,7 +3469,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (📥 14K / month · 📦 5 · ⏱️ 07.09.2022):
+- [PyPi](https://pypi.org/project/spleeter) (📥 15K / month · 📦 5 · ⏱️ 07.09.2022):
```
pip install spleeter
```
@@ -3485,14 +3485,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (📥 7K / month · 📦 38 · ⏱️ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (📥 7.4K / month · 📦 38 · ⏱️ 01.08.2022):
```
pip install magenta
```
python-soundfile (🥈31 · ⭐ 530) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 30 · 🔀 87 · 📥 14K · 📦 19K · 📋 200 - 42% open · ⏱️ 24.02.2023):
+- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 30 · 🔀 87 · 📥 14K · 📦 19K · 📋 200 - 41% open · ⏱️ 24.02.2023):
```
git clone https://github.com/bastibe/python-soundfile
@@ -3506,18 +3506,18 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
Coqui TTS (🥈30 · ⭐ 9.2K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+Coqui TTS (🥈30 · ⭐ 9.4K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/coqui-ai/TTS) (👨💻 120 · 🔀 1.1K · 📥 610K · 📋 520 - 4% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/coqui-ai/TTS) (👨💻 120 · 🔀 1.1K · 📥 630K · 📋 530 - 5% open · ⏱️ 21.03.2023):
```
git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/tts) (📥 17K / month · 📦 12 · ⏱️ 11.01.2023):
+- [PyPi](https://pypi.org/project/tts) (📥 20K / month · 📦 12 · ⏱️ 11.01.2023):
```
pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/tts) (📥 6.7K · ⏱️ 15.12.2021):
+- [Conda](https://anaconda.org/conda-forge/tts) (📥 6.8K · ⏱️ 15.12.2021):
```
conda install -c conda-forge tts
```
@@ -3529,7 +3529,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 13K / month · 📦 19 · ⏱️ 07.02.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 14K / month · 📦 19 · ⏱️ 07.02.2022):
```
pip install pyAudioAnalysis
```
@@ -3541,7 +3541,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (📥 8.3K / month · 📦 2 · ⏱️ 12.01.2023):
+- [PyPi](https://pypi.org/project/audiomentations) (📥 8.5K / month · 📦 2 · ⏱️ 12.01.2023):
```
pip install audiomentations
```
@@ -3557,36 +3557,36 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install audioread
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (📥 590K · ⏱️ 29.10.2022):
+- [Conda](https://anaconda.org/conda-forge/audioread) (📥 600K · ⏱️ 29.10.2022):
```
conda install -c conda-forge audioread
```
Porcupine (🥉27 · ⭐ 2.9K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 34 · 🔀 410 · 📦 15 · 📋 420 - 0% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 34 · 🔀 420 · 📦 15 · 📋 420 - 0% open · ⏱️ 15.03.2023):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (📥 1.9K / month · 📦 11 · ⏱️ 28.06.2022):
+- [PyPi](https://pypi.org/project/pvporcupine) (📥 2.3K / month · 📦 11 · ⏱️ 28.06.2022):
```
pip install pvporcupine
```
tinytag (🥉25 · ⭐ 580) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
+tinytag (🥉26 · ⭐ 590) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (👨💻 25 · 🔀 91 · 📦 710 · 📋 99 - 17% open · ⏱️ 15.01.2023):
+- [GitHub](https://github.com/devsnd/tinytag) (👨💻 25 · 🔀 92 · 📦 720 · 📋 99 - 13% open · ⏱️ 20.03.2023):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (📥 19K / month · 📦 70 · ⏱️ 12.03.2022):
+- [PyPi](https://pypi.org/project/tinytag) (📥 18K / month · 📦 70 · ⏱️ 12.03.2022):
```
pip install tinytag
```
DDSP (🥉24 · ⭐ 2.4K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (🥉25 · ⭐ 2.4K) - DDSP: Differentiable Digital Signal Processing. Apache-2
- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 290 · 📦 38 · 📋 150 - 22% open · ⏱️ 22.12.2022):
@@ -3602,9 +3602,25 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge ddsp
```
nnAudio (🥉23 · ⭐ 800) - Audio processing by using pytorch 1D convolution network. MIT
+DeepSpeech (🥉23 · ⭐ 21K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
+
+- [GitHub](https://github.com/mozilla/DeepSpeech) (👨💻 140 · 🔀 3.7K):
+
+ ```
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (📥 14K / month · 📦 45 · ⏱️ 19.12.2020):
+ ```
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 1.5K · ⏱️ 29.07.2021):
+ ```
+ conda install -c conda-forge deepspeech
+ ```
+nnAudio (🥉23 · ⭐ 810) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 14 · 🔀 81 · 📦 82 · 📋 54 - 22% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 14 · 🔀 81 · 📦 82 · 📋 56 - 25% open · ⏱️ 16.03.2023):
```
git clone https://github.com/KinWaiCheuk/nnAudio
@@ -3621,7 +3637,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/keunwoochoi/kapre
```
-- [PyPi](https://pypi.org/project/kapre) (📥 3.2K / month · 📦 14 · ⏱️ 21.01.2022):
+- [PyPi](https://pypi.org/project/kapre) (📥 3.1K / month · 📦 14 · ⏱️ 21.01.2022):
```
pip install kapre
```
@@ -3633,19 +3649,18 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (📥 69K / month · 📦 5 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/julius) (📥 76K / month · 📦 5 · ⏱️ 20.09.2022):
```
pip install julius
```
Show 10 hidden projects...
+Show 9 hidden projects...
-- DeepSpeech (🥈33 · ⭐ 21K · 💀) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 ❗️AGPL-3.0
- aubio (🥉27 · ⭐ 2.9K · 💀) - a library for audio and music analysis. ❗️GPL-3.0
- Madmom (🥉25 · ⭐ 1K · 💀) - Python audio and music signal processing library. BSD-3
- TimeSide (🥉24 · ⭐ 350) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0
-- TTS (🥉23 · ⭐ 6.8K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- TTS (🥉23 · ⭐ 6.9K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (🥉23 · ⭐ 2.2K · 💀) - This library provides common speech features for ASR.. MIT
- Dejavu (🥉22 · ⭐ 6K · 💀) - Audio fingerprinting and recognition in Python. MIT
- Muda (🥉17 · ⭐ 220 · 💀) - A library for augmenting annotated audio data. ISC
@@ -3661,7 +3676,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (🥇42 · ⭐ 11K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (👨💻 220 · 🔀 1.9K · 📦 5.5K · 📋 2.6K - 7% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (👨💻 220 · 🔀 2K · 📦 5.6K · 📋 2.7K - 7% open · ⏱️ 22.03.2023):
```
git clone https://github.com/visgl/deck.gl
@@ -3670,23 +3685,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 310K · ⏱️ 04.11.2022):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 320K · ⏱️ 04.11.2022):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (📥 430K / month · 📦 430 · ⏱️ 16.03.2023):
+- [npm](https://www.npmjs.com/package/deck.gl) (📥 440K / month · 📦 440 · ⏱️ 22.03.2023):
```
npm install deck.gl
```
folium (🥇39 · ⭐ 6.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (👨💻 150 · 🔀 2.2K · 📦 23K · 📋 1K - 5% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/python-visualization/folium) (👨💻 150 · 🔀 2.2K · 📦 23K · 📋 1K - 5% open · ⏱️ 23.03.2023):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (📥 890K / month · 📦 720 · ⏱️ 12.12.2022):
+- [PyPi](https://pypi.org/project/folium) (📥 870K / month · 📦 720 · ⏱️ 12.12.2022):
```
pip install folium
```
@@ -3695,14 +3710,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge folium
```
GeoPandas (🥇38 · ⭐ 3.6K) - Python tools for geographic data. BSD-3
+GeoPandas (🥇39 · ⭐ 3.6K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (👨💻 190 · 🔀 800 · 📥 1.8K · 📦 20K · 📋 1.5K - 27% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (👨💻 190 · 🔀 800 · 📥 1.8K · 📦 20K · 📋 1.5K - 27% open · ⏱️ 20.03.2023):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (📥 3M / month · 📦 1.4K · ⏱️ 10.12.2022):
+- [PyPi](https://pypi.org/project/geopandas) (📥 3.4M / month · 📦 1.4K · ⏱️ 10.12.2022):
```
pip install geopandas
```
@@ -3711,46 +3726,46 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopandas
```
Rasterio (🥇38 · ⭐ 1.9K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+Rasterio (🥈38 · ⭐ 1.9K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (👨💻 140 · 🔀 510 · 📥 770 · 📦 7K · 📋 1.7K - 8% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/rasterio/rasterio) (👨💻 140 · 🔀 510 · 📥 770 · 📦 7.1K · 📋 1.7K - 8% open · ⏱️ 20.03.2023):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (📥 880K / month · 📦 900 · ⏱️ 13.02.2023):
+- [PyPi](https://pypi.org/project/rasterio) (📥 920K / month · 📦 900 · ⏱️ 13.02.2023):
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 2.1M · ⏱️ 26.02.2023):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 2.2M · ⏱️ 26.02.2023):
```
conda install -c conda-forge rasterio
```
Shapely (🥈37 · ⭐ 3.2K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (👨💻 140 · 🔀 520 · 📥 720 · 📦 42K · 📋 1K - 19% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/shapely/shapely) (👨💻 140 · 🔀 520 · 📥 760 · 📦 42K · 📋 1K - 19% open · ⏱️ 10.03.2023):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (📥 9.9M / month · 📦 580 · ⏱️ 30.01.2023):
+- [PyPi](https://pypi.org/project/shapely) (📥 10M / month · 📦 580 · ⏱️ 30.01.2023):
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (📥 5.9M · ⏱️ 30.01.2023):
+- [Conda](https://anaconda.org/conda-forge/shapely) (📥 6.2M · ⏱️ 17.03.2023):
```
conda install -c conda-forge shapely
```
pyproj (🥈36 · ⭐ 860 · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+pyproj (🥈36 · ⭐ 860) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 58 · 🔀 190 · 📦 19K · 📋 550 - 4% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 58 · 🔀 190 · 📦 19K · 📋 550 - 4% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (📥 5.2M / month · 📦 1.9K · ⏱️ 13.12.2022):
+- [PyPi](https://pypi.org/project/pyproj) (📥 5.5M / month · 📦 1.9K · ⏱️ 13.12.2022):
```
pip install pyproj
```
@@ -3766,27 +3781,27 @@ _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) (📥 4M / month · 📦 4K · ⏱️ 13.11.2022):
+- [PyPi](https://pypi.org/project/geopy) (📥 4.1M / month · 📦 4K · ⏱️ 13.11.2022):
```
pip install geopy
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (📥 980K · ⏱️ 13.11.2022):
+- [Conda](https://anaconda.org/conda-forge/geopy) (📥 990K · ⏱️ 13.11.2022):
```
conda install -c conda-forge geopy
```
Fiona (🥈35 · ⭐ 1K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 66 · 🔀 200 · 📦 12K · 📋 730 - 5% open · ⏱️ 26.02.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 66 · 🔀 200 · 📦 12K · 📋 730 - 4% open · ⏱️ 21.03.2023):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (📥 3.3M / month · 📦 840 · ⏱️ 10.02.2023):
+- [PyPi](https://pypi.org/project/fiona) (📥 3.6M / month · 📦 850 · ⏱️ 10.02.2023):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (📥 4.2M · ⏱️ 10.02.2023):
+- [Conda](https://anaconda.org/conda-forge/fiona) (📥 4.2M · ⏱️ 20.03.2023):
```
conda install -c conda-forge fiona
```
@@ -3806,23 +3821,23 @@ _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) (📥 61K / month · 📦 5 · ⏱️ 19.10.2022):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 62K / month · 📦 5 · ⏱️ 19.10.2022):
```
npm install jupyter-leaflet
```
ArcGIS API (🥉31 · ⭐ 1.5K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 86 · 🔀 980 · 📥 7.5K · 📋 540 - 6% open · ⏱️ 01.03.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 86 · 🔀 980 · 📥 7.6K · 📋 540 - 5% open · ⏱️ 20.03.2023):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (📥 58K / month · 📦 31 · ⏱️ 27.01.2023):
+- [PyPi](https://pypi.org/project/arcgis) (📥 59K / month · 📦 31 · ⏱️ 27.01.2023):
```
pip install arcgis
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 8.3K · ⭐ 40 · ⏱️ 17.06.2022):
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 8.4K · ⭐ 40 · ⏱️ 17.06.2022):
```
docker pull esridocker/arcgis-api-python-notebook
```
@@ -3834,7 +3849,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (📥 880K / month · 📦 1.2K · ⏱️ 26.01.2023):
+- [PyPi](https://pypi.org/project/geojson) (📥 900K / month · 📦 1.2K · ⏱️ 26.01.2023):
```
pip install geojson
```
@@ -3845,12 +3860,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
PySAL (🥉27 · ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (👨💻 78 · 🔀 280 · 📋 610 - 1% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/pysal/pysal) (👨💻 78 · 🔀 280 · 📋 620 - 1% open · ⏱️ 15.03.2023):
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (📥 13K / month · 📦 32 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/pysal) (📥 14K / month · 📦 32 · ⏱️ 31.01.2023):
```
pip install pysal
```
@@ -3866,7 +3881,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (📥 5.4K / month · 📦 30 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/geoviews) (📥 5.3K / month · 📦 30 · ⏱️ 17.01.2023):
```
pip install geoviews
```
@@ -3882,7 +3897,7 @@ _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) (📥 72K / month · 📦 18 · ⏱️ 03.07.2022):
+- [PyPi](https://pypi.org/project/pymap3d) (📥 73K / month · 📦 18 · ⏱️ 03.07.2022):
```
pip install pymap3d
```
@@ -3894,10 +3909,10 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 8 hidden projects...
- Geocoder (🥈32 · ⭐ 1.5K · 💀) - Python Geocoder. MIT
-- Satpy (🥉30 · ⭐ 900) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
-- Sentinelsat (🥉29 · ⭐ 860 · 📈) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
+- Satpy (🥉30 · ⭐ 910) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
+- Sentinelsat (🥉29 · ⭐ 860) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
- EarthPy (🥉26 · ⭐ 420 · 💀) - A package built to support working with spatial data using open.. BSD-3
-- prettymaps (🥉25 · ⭐ 9.2K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0
+- prettymaps (🥉25 · ⭐ 9.3K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0
- gmaps (🥉23 · ⭐ 750 · 💀) - Google maps for Jupyter notebooks. BSD-3 MIT MIT
@@ -3910,14 +3925,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
-yfinance (🥇39 · ⭐ 9.1K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (🥇39 · ⭐ 9.2K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 76 · 🔀 1.8K · 📦 20K · 📋 1K - 21% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 77 · 🔀 1.8K · 📦 21K · 📋 1K - 21% open · ⏱️ 21.03.2023):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (📥 740K / month · 📦 190 · ⏱️ 16.06.2022):
+- [PyPi](https://pypi.org/project/yfinance) (📥 780K / month · 📦 200 · ⏱️ 16.06.2022):
```
pip install yfinance
```
@@ -3928,24 +3943,24 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (🥇31 · ⭐ 11K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (👨💻 110 · 🔀 1.9K · 📥 340 · 📦 41 · 📋 740 - 29% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/microsoft/qlib) (👨💻 110 · 🔀 1.9K · 📥 340 · 📦 42 · 📋 740 - 29% open · ⏱️ 17.03.2023):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (📥 2.4K / month · ⏱️ 29.01.2023):
+- [PyPi](https://pypi.org/project/pyqlib) (📥 2.5K / month · ⏱️ 29.01.2023):
```
pip install pyqlib
```
ta (🥈29 · ⭐ 3.5K · 💤) - Technical Analysis Library using Pandas and Numpy. MIT
-- [GitHub](https://github.com/bukosabino/ta) (👨💻 29 · 🔀 770 · 📦 1.8K · 📋 230 - 56% open · ⏱️ 23.08.2022):
+- [GitHub](https://github.com/bukosabino/ta) (👨💻 29 · 🔀 770 · 📦 1.9K · 📋 230 - 56% open · ⏱️ 23.08.2022):
```
git clone https://github.com/bukosabino/ta
```
-- [PyPi](https://pypi.org/project/ta) (📥 80K / month · 📦 40 · ⏱️ 23.08.2022):
+- [PyPi](https://pypi.org/project/ta) (📥 83K / month · 📦 40 · ⏱️ 23.08.2022):
```
pip install ta
```
@@ -3961,7 +3976,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (📥 8.5K / month · 📦 21 · ⏱️ 21.04.2021):
+- [PyPi](https://pypi.org/project/bt) (📥 8.4K / month · 📦 21 · ⏱️ 21.04.2021):
```
pip install bt
```
@@ -3986,30 +4001,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge ib-insync
```
TensorTrade (🥈26 · ⭐ 4.1K · 💤) - An open source reinforcement learning framework for.. Apache-2
-
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 980 · 📦 42 · 📋 250 - 20% open · ⏱️ 23.08.2022):
-
- ```
- git clone https://github.com/tensortrade-org/tensortrade
- ```
-- [PyPi](https://pypi.org/project/tensortrade) (📥 640 / month · 📦 1 · ⏱️ 10.05.2021):
- ```
- pip install tensortrade
- ```
-- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 2.3K · ⏱️ 10.05.2021):
- ```
- conda install -c conda-forge tensortrade
- ```
-ffn (🥈26 · ⭐ 1.4K) - ffn - a financial function library for Python. MIT
+ffn (🥈27 · ⭐ 1.4K) - ffn - a financial function library for Python. MIT
- [GitHub](https://github.com/pmorissette/ffn) (👨💻 29 · 🔀 240 · 📦 280 · 📋 110 - 18% open · ⏱️ 21.12.2022):
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (📥 140K / month · 📦 25 · ⏱️ 21.04.2021):
+- [PyPi](https://pypi.org/project/ffn) (📥 160K / month · 📦 25 · ⏱️ 21.04.2021):
```
pip install ffn
```
@@ -4018,16 +4017,20 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge ffn
```
PyAlgoTrade (🥉25 · ⭐ 3.9K) - Python Algorithmic Trading Library. Apache-2
+TensorTrade (🥉26 · ⭐ 4.1K · 💤) - An open source reinforcement learning framework for.. Apache-2
-- [GitHub](https://github.com/gbeced/pyalgotrade) (👨💻 11 · 🔀 1.3K · 📦 120 · 📋 140 - 38% open · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 980 · 📦 42 · 📋 250 - 20% open · ⏱️ 23.08.2022):
```
- git clone https://github.com/gbeced/pyalgotrade
+ git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (📥 1.2K / month · 📦 21 · ⏱️ 21.08.2018):
+- [PyPi](https://pypi.org/project/tensortrade) (📥 610 / month · 📦 1 · ⏱️ 10.05.2021):
```
- pip install pyalgotrade
+ pip install tensortrade
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 2.3K · ⏱️ 10.05.2021):
+ ```
+ conda install -c conda-forge tensortrade
```
Alpha Vantage (🥉25 · ⭐ 3.9K) - A python wrapper for Alpha Vantage API for financial data. MIT
@@ -4041,7 +4044,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 2.8K · ⏱️ 14.01.2021):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 2.9K · ⏱️ 14.01.2021):
```
conda install -c conda-forge alpha_vantage
```
@@ -4058,9 +4061,21 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
pip install stockstats
```
PyAlgoTrade (🥉24 · ⭐ 3.9K) - Python Algorithmic Trading Library. Apache-2
+
+- [GitHub](https://github.com/gbeced/pyalgotrade) (👨💻 11 · 🔀 1.3K · 📦 120 · 📋 140 - 38% open · ⏱️ 05.03.2023):
+
+ ```
+ git clone https://github.com/gbeced/pyalgotrade
+ ```
+- [PyPi](https://pypi.org/project/pyalgotrade) (📥 1.1K / month · 📦 21 · ⏱️ 21.08.2018):
+ ```
+ pip install pyalgotrade
+ ```
+tf-quant-finance (🥉23 · ⭐ 3.7K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 45 · 🔀 490 · 📋 57 - 52% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 45 · 🔀 490 · 📋 56 - 50% open · ⏱️ 20.03.2023):
```
git clone https://github.com/google/tf-quant-finance
@@ -4082,14 +4097,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
docker pull shadowreaver/crypto-signal
```
finmarketpy (🥉18 · ⭐ 3.1K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+finmarketpy (🥉19 · ⭐ 3.1K) - Python library for backtesting trading strategies & analyzing.. Apache-2
- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 14 · 🔀 450 · 📥 44 · 📦 7 · 📋 27 - 88% open · ⏱️ 20.12.2022):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (📥 89 / month · ⏱️ 07.10.2021):
+- [PyPi](https://pypi.org/project/finmarketpy) (📥 130 / month · ⏱️ 07.10.2021):
```
pip install finmarketpy
```
@@ -4100,14 +4115,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- pyfolio (🥈30 · ⭐ 4.9K · 💀) - Portfolio and risk analytics in Python. Apache-2
- backtrader (🥈29 · ⭐ 10K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0
- arch (🥈28 · ⭐ 1.1K) - ARCH models in Python. ❗️NCSA
-- Alphalens (🥈26 · ⭐ 2.6K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- Enigma Catalyst (🥈26 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- empyrical (🥈26 · ⭐ 1K · 💀) - Common financial risk and performance metrics. Used by zipline.. Apache-2
+- Alphalens (🥉26 · ⭐ 2.6K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- Enigma Catalyst (🥉26 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- empyrical (🥉26 · ⭐ 1K · 💀) - Common financial risk and performance metrics. Used by zipline.. Apache-2
- FinTA (🥉23 · ⭐ 1.9K · 💤) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0
- Backtesting.py (🥉21 · ⭐ 3.4K) - Backtest trading strategies in Python. ❗️AGPL-3.0
-- FinQuant (🥉18 · ⭐ 920 · 💀) - A program for financial portfolio management, analysis and.. MIT
+- FinQuant (🥉18 · ⭐ 930 · 💀) - A program for financial portfolio management, analysis and.. MIT
- surpriver (🥉12 · ⭐ 1.6K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0
-- pyrtfolio (🥉8 · ⭐ 130 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
+- pyrtfolio (🥉9 · ⭐ 130 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -4119,16 +4134,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (🥇37 · ⭐ 6.3K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (👨💻 240 · 🔀 1K · 📥 78 · 📦 980 · 📋 1.6K - 33% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/sktime/sktime) (👨💻 240 · 🔀 1K · 📥 78 · 📦 990 · 📋 1.6K - 33% open · ⏱️ 22.03.2023):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (📥 540K / month · 📦 36 · ⏱️ 30.01.2023):
+- [PyPi](https://pypi.org/project/sktime) (📥 620K / month · 📦 36 · ⏱️ 30.01.2023):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 280K · ⏱️ 24.02.2023):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 300K · ⏱️ 24.02.2023):
```
conda install -c conda-forge sktime-all-extras
```
@@ -4144,14 +4159,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (📥 430K · ⏱️ 21.01.2023):
+- [Conda](https://anaconda.org/conda-forge/prophet) (📥 450K · ⏱️ 21.01.2023):
```
conda install -c conda-forge prophet
```
NeuralProphet (🥇33 · ⭐ 2.8K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 37 · 🔀 390 · 📦 190 · 📋 440 - 20% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 37 · 🔀 400 · 📦 200 · 📋 450 - 21% open · ⏱️ 18.03.2023):
```
git clone https://github.com/ourownstory/neural_prophet
@@ -4168,11 +4183,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (📥 290K / month · 📦 71 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/tsfresh) (📥 270K / month · 📦 71 · ⏱️ 02.01.2023):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 620K · ⏱️ 31.12.2022):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 650K · ⏱️ 31.12.2022):
```
conda install -c conda-forge tsfresh
```
@@ -4188,14 +4203,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 350K · ⏱️ 30.11.2022):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 370K · ⏱️ 19.03.2023):
```
conda install -c conda-forge pmdarima
```
Darts (🥈31 · ⭐ 5.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (👨💻 82 · 🔀 610 · 📦 210 · 📋 950 - 22% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/unit8co/darts) (👨💻 82 · 🔀 610 · 📦 210 · 📋 960 - 21% open · ⏱️ 22.03.2023):
```
git clone https://github.com/unit8co/darts
@@ -4215,87 +4230,87 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (🥈31 · ⭐ 3.4K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (👨💻 100 · 🔀 680 · 📋 820 - 30% open · ⏱️ 09.03.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (👨💻 100 · 🔀 680 · 📋 830 - 30% open · ⏱️ 23.03.2023):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (📥 140K / month · 📦 13 · ⏱️ 30.06.2022):
+- [PyPi](https://pypi.org/project/gluonts) (📥 160K / month · 📦 14 · ⏱️ 30.06.2022):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (📥 260 · ⏱️ 14.10.2021):
+- [Conda](https://anaconda.org/anaconda/gluonts) (📥 270 · ⏱️ 14.10.2021):
```
conda install -c anaconda gluonts
```
STUMPY (🥈31 · ⭐ 2.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 32 · 🔀 250 · 📦 370 · 📋 410 - 14% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 32 · 🔀 250 · 📦 380 · 📋 410 - 14% open · ⏱️ 17.03.2023):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (📥 200K / month · 📦 11 · ⏱️ 31.03.2022):
+- [PyPi](https://pypi.org/project/stumpy) (📥 190K / month · 📦 11 · ⏱️ 31.03.2022):
```
pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 320K · ⏱️ 31.03.2022):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 340K · ⏱️ 31.03.2022):
```
conda install -c conda-forge stumpy
```
tslearn (🥈30 · ⭐ 2.4K) - A machine learning toolkit dedicated to time-series data. BSD-2
-- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 40 · 🔀 320 · 📦 720 · 📋 290 - 36% open · ⏱️ 20.01.2023):
+- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 41 · 🔀 320 · 📦 730 · 📋 290 - 36% open · ⏱️ 21.03.2023):
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (📥 200K / month · 📦 28 · ⏱️ 20.01.2023):
+- [PyPi](https://pypi.org/project/tslearn) (📥 210K / month · 📦 28 · ⏱️ 20.01.2023):
```
pip install tslearn
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 610K · ⏱️ 20.01.2023):
+- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 630K · ⏱️ 20.01.2023):
```
conda install -c conda-forge tslearn
```
pytorch-forecasting (🥈27 · ⭐ 2.7K) - Time series forecasting with PyTorch. MIT
+StatsForecast (🥈29 · ⭐ 2.4K · 📈) - Lightning fast forecasting with statistical and.. Apache-2
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨💻 33 · 🔀 450 · 📋 620 - 57% open · ⏱️ 17.11.2022):
+- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 20 · 🔀 150 · 📦 180 · 📋 150 - 40% open · ⏱️ 14.03.2023):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 91K / month · 📦 9 · ⏱️ 07.09.2022):
+- [PyPi](https://pypi.org/project/statsforecast) (📥 340K / month · 📦 12 · ⏱️ 01.12.2022):
```
- pip install pytorch-forecasting
+ pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 38K · ⏱️ 23.05.2022):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 29K · ⏱️ 09.03.2023):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge statsforecast
```
StatsForecast (🥈27 · ⭐ 2.3K · 📉) - Lightning fast forecasting with statistical and.. Apache-2
+pytorch-forecasting (🥈27 · ⭐ 2.7K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 20 · 🔀 150 · 📦 180 · 📋 140 - 38% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨💻 33 · 🔀 450 · 📋 620 - 57% open · ⏱️ 17.11.2022):
```
- git clone https://github.com/Nixtla/statsforecast
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/statsforecast) (📥 330K / month · 📦 12 · ⏱️ 01.12.2022):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 88K / month · 📦 9 · ⏱️ 07.09.2022):
```
- pip install statsforecast
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 29K · ⏱️ 09.03.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 38K · ⏱️ 23.05.2022):
```
- conda install -c conda-forge statsforecast
+ conda install -c conda-forge pytorch-forecasting
```
uber/orbit (🥈26 · ⭐ 1.6K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (👨💻 18 · 🔀 120 · 📦 19 · 📋 380 - 14% open · ⏱️ 29.01.2023):
+- [GitHub](https://github.com/uber/orbit) (👨💻 18 · 🔀 120 · 📦 20 · 📋 380 - 14% open · ⏱️ 29.01.2023):
```
git clone https://github.com/uber/orbit
@@ -4316,7 +4331,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (📥 97K / month · 📦 19 · ⏱️ 31.10.2021):
+- [PyPi](https://pypi.org/project/pyts) (📥 100K / month · 📦 19 · ⏱️ 31.10.2021):
```
pip install pyts
```
@@ -4325,34 +4340,34 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pyts
```
Streamz (🥉25 · ⭐ 1.1K) - Real-time stream processing for python. BSD-3
+Streamz (🥈26 · ⭐ 1.1K) - Real-time stream processing for python. BSD-3
- [GitHub](https://github.com/python-streamz/streamz) (👨💻 48 · 🔀 140 · 📦 380 · 📋 260 - 41% open · ⏱️ 22.12.2022):
```
git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/streamz) (📥 16K / month · 📦 37 · ⏱️ 27.07.2022):
+- [PyPi](https://pypi.org/project/streamz) (📥 17K / month · 📦 37 · ⏱️ 27.07.2022):
```
pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (📥 570K · ⏱️ 28.07.2022):
+- [Conda](https://anaconda.org/conda-forge/streamz) (📥 580K · ⏱️ 28.07.2022):
```
conda install -c conda-forge streamz
```
NeuralForecast (🥉24 · ⭐ 1.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+NeuralForecast (🥉25 · ⭐ 1.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 23 · 🔀 120 · 📦 13 · 📋 190 - 20% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 23 · 🔀 130 · 📦 13 · 📋 190 - 21% open · ⏱️ 15.03.2023):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (📥 4.4K / month · 📦 2 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/neuralforecast) (📥 4.2K / month · 📦 2 · ⏱️ 15.12.2022):
```
pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 4.8K · ⏱️ 15.02.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 4.9K · ⏱️ 15.02.2023):
```
conda install -c conda-forge neuralforecast
```
@@ -4364,33 +4379,33 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (📥 10K / month · ⏱️ 14.02.2021):
+- [PyPi](https://pypi.org/project/tsfel) (📥 11K / month · ⏱️ 14.02.2021):
```
pip install tsfel
```
tick (🥉22 · ⭐ 420) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+greykite (🥉21 · ⭐ 1.7K · 💤) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/X-DataInitiative/tick) (👨💻 18 · 🔀 91 · 📥 250 · 📦 68 · 📋 230 - 27% open · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/linkedin/greykite) (👨💻 8 · 🔀 91 · 📦 17 · 📋 81 - 16% open · ⏱️ 31.08.2022):
```
- git clone https://github.com/X-DataInitiative/tick
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/tick) (📥 1.2K / month · 📦 1 · ⏱️ 24.05.2020):
+- [PyPi](https://pypi.org/project/greykite) (📥 13K / month · ⏱️ 15.07.2022):
```
- pip install tick
+ pip install greykite
```
greykite (🥉21 · ⭐ 1.7K · 💤) - A flexible, intuitive and fast forecasting library. BSD-2
+tick (🥉21 · ⭐ 420) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- [GitHub](https://github.com/linkedin/greykite) (👨💻 8 · 🔀 91 · 📦 16 · 📋 81 - 16% open · ⏱️ 31.08.2022):
+- [GitHub](https://github.com/X-DataInitiative/tick) (👨💻 18 · 🔀 91 · 📥 250 · 📦 69 · 📋 230 - 27% open · ⏱️ 05.03.2023):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/X-DataInitiative/tick
```
-- [PyPi](https://pypi.org/project/greykite) (📥 13K / month · ⏱️ 15.07.2022):
+- [PyPi](https://pypi.org/project/tick) (📥 1.1K / month · 📦 1 · ⏱️ 24.05.2020):
```
- pip install greykite
+ pip install tick
```
seglearn (🥉19 · ⭐ 540 · 💤) - Python module for machine learning time series:. BSD-3
@@ -4400,7 +4415,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/dmbee/seglearn
```
-- [PyPi](https://pypi.org/project/seglearn) (📥 810 / month · 📦 1 · ⏱️ 27.08.2022):
+- [PyPi](https://pypi.org/project/seglearn) (📥 1K / month · 📦 1 · ⏱️ 27.08.2022):
```
pip install seglearn
```
@@ -4412,7 +4427,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (📥 4.7K / month · ⏱️ 16.08.2022):
+- [PyPi](https://pypi.org/project/auto-ts) (📥 4.2K / month · ⏱️ 16.08.2022):
```
pip install auto-ts
```
@@ -4425,7 +4440,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
- ADTK (🥉19 · ⭐ 920 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
- matrixprofile-ts (🥉19 · ⭐ 700 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2
- tsflex (🥉19 · ⭐ 240) - Flexible time series feature extraction & processing. MIT
-- tsaug (🥉15 · ⭐ 290 · 💀) - A Python package for time series augmentation. Apache-2
+- tsaug (🥉14 · ⭐ 290 · 💀) - A Python package for time series augmentation. Apache-2
- atspy (🥉13 · ⭐ 480 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tslumen (🥉8 · ⭐ 48 · 🐣) - A library for Time Series EDA (exploratory data analysis). Apache-2
MNE (🥇38 · ⭐ 2.2K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 330 · 🔀 1.2K · 📦 2.4K · 📋 4.4K - 10% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 330 · 🔀 1.2K · 📦 2.4K · 📋 4.4K - 10% open · ⏱️ 22.03.2023):
```
git clone https://github.com/mne-tools/mne-python
@@ -4453,9 +4468,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge mne
```
Nilearn (🥇35 · ⭐ 940) - Machine learning for NeuroImaging in Python. BSD-3
+Nilearn (🥇35 · ⭐ 950) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (👨💻 210 · 🔀 490 · 📥 93 · 📦 2.1K · 📋 1.7K - 16% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (👨💻 210 · 🔀 500 · 📥 93 · 📦 2.1K · 📋 1.8K - 15% open · ⏱️ 23.03.2023):
```
git clone https://github.com/nilearn/nilearn
@@ -4476,23 +4491,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (📥 230K / month · 📦 1.1K · ⏱️ 09.01.2023):
+- [PyPi](https://pypi.org/project/nibabel) (📥 240K / month · 📦 1.1K · ⏱️ 09.01.2023):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 540K · ⏱️ 13.02.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 550K · ⏱️ 13.02.2023):
```
conda install -c conda-forge nibabel
```
MONAI (🥈34 · ⭐ 3.9K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 140 · 🔀 740 · 📦 780 · 📋 2.4K - 12% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 140 · 🔀 760 · 📦 790 · 📋 2.4K - 12% open · ⏱️ 23.03.2023):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (📥 110K / month · 📦 40 · ⏱️ 19.12.2022):
+- [PyPi](https://pypi.org/project/monai) (📥 110K / month · 📦 41 · ⏱️ 19.12.2022):
```
pip install monai
```
@@ -4503,12 +4518,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (🥈33 · ⭐ 660) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (👨💻 240 · 🔀 510 · 📦 1.3K · 📋 1.3K - 29% open · ⏱️ 02.03.2023):
+- [GitHub](https://github.com/nipy/nipype) (👨💻 240 · 🔀 510 · 📦 1.4K · 📋 1.3K - 29% open · ⏱️ 02.03.2023):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (📥 79K / month · 📦 160 · ⏱️ 21.09.2022):
+- [PyPi](https://pypi.org/project/nipype) (📥 74K / month · 📦 160 · ⏱️ 21.09.2022):
```
pip install nipype
```
@@ -4524,7 +4539,7 @@ _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) (📥 430K / month · 📦 110 · ⏱️ 17.11.2022):
+- [PyPi](https://pypi.org/project/lifelines) (📥 420K / month · 📦 110 · ⏱️ 17.11.2022):
```
pip install lifelines
```
@@ -4535,33 +4550,33 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (🥈32 · ⭐ 870) - Scalable genomic data analysis. MIT
-- [GitHub](https://github.com/hail-is/hail) (👨💻 84 · 🔀 230 · 📦 93 · 📋 2.1K - 2% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/hail-is/hail) (👨💻 84 · 🔀 230 · 📦 93 · 📋 2.1K - 2% open · ⏱️ 22.03.2023):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (📥 43K / month · 📦 13 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/hail) (📥 44K / month · 📦 13 · ⏱️ 17.01.2023):
```
pip install hail
```
DIPY (🥈32 · ⭐ 580) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-- [GitHub](https://github.com/dipy/dipy) (👨💻 140 · 🔀 360 · 📦 720 · 📋 840 - 17% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/dipy/dipy) (👨💻 140 · 🔀 370 · 📦 720 · 📋 840 - 17% open · ⏱️ 22.03.2023):
```
git clone https://github.com/dipy/dipy
```
-- [PyPi](https://pypi.org/project/dipy) (📥 14K / month · 📦 88 · ⏱️ 16.01.2023):
+- [PyPi](https://pypi.org/project/dipy) (📥 15K / month · 📦 88 · ⏱️ 16.01.2023):
```
pip install dipy
```
-- [Conda](https://anaconda.org/conda-forge/dipy) (📥 360K · ⏱️ 26.01.2023):
+- [Conda](https://anaconda.org/conda-forge/dipy) (📥 370K · ⏱️ 26.01.2023):
```
conda install -c conda-forge dipy
```
DeepVariant (🥉27 · ⭐ 2.7K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (🥉27 · ⭐ 2.8K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
- [GitHub](https://github.com/google/deepvariant) (👨💻 26 · 🔀 660 · 📥 4.6K · 📋 570 - 1% open · ⏱️ 28.02.2023):
@@ -4580,7 +4595,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (📥 37K / month · 📦 15 · ⏱️ 17.07.2022):
+- [PyPi](https://pypi.org/project/pyriemann) (📥 36K / month · 📦 15 · ⏱️ 17.07.2022):
```
pip install pyriemann
```
@@ -4592,7 +4607,7 @@ _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) (📥 1.5K / month · 📦 47 · ⏱️ 19.02.2018):
+- [PyPi](https://pypi.org/project/nipy) (📥 1.5K / month · 📦 50 · ⏱️ 29.03.2021):
```
pip install nipy
```
@@ -4611,7 +4626,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 8 hidden projects...
-- NiftyNet (🥉23 · ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 Apache-2 ❗️GPL-3.0
- DLTK (🥉21 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
@@ -4630,19 +4645,19 @@ _Libraries for processing tabular and structured data._
carefree-learn (🥇23 · ⭐ 390) - Deep Learning PyTorch. MIT
-- [GitHub](https://github.com/carefree0910/carefree-learn) (👨💻 1 · 🔀 37 · 📦 3 · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (👨💻 1 · 🔀 37 · 📦 3 · ⏱️ 23.03.2023):
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (📥 2K / month · ⏱️ 20.06.2022):
+- [PyPi](https://pypi.org/project/carefree-learn) (📥 1.9K / month · ⏱️ 20.06.2022):
```
pip install carefree-learn
```
pytorch_tabular (🥉21 · ⭐ 850) - A standard framework for modelling Deep Learning Models.. MIT
+pytorch_tabular (🥉21 · ⭐ 860) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 15 · 🔀 98 · 📥 3 · 📋 98 - 14% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 15 · 🔀 99 · 📥 3 · 📋 98 - 13% open · ⏱️ 15.03.2023):
```
git clone https://github.com/manujosephv/pytorch_tabular
@@ -4659,14 +4674,14 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/firmai/deltapy
```
-- [PyPi](https://pypi.org/project/deltapy) (📥 95 / month · ⏱️ 09.04.2020):
+- [PyPi](https://pypi.org/project/deltapy) (📥 110 / month · ⏱️ 09.04.2020):
```
pip install deltapy
```
Show 2 hidden projects...
-- miceforest (🥇23 · ⭐ 220) - Multiple Imputation with LightGBM in Python. MIT
+- miceforest (🥇23 · ⭐ 230) - Multiple Imputation with LightGBM in Python. MIT
- upgini (🥉19 · ⭐ 180) - Free automated data enrichment library for machine learning searches.. BSD-3
@@ -4684,35 +4699,35 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (📥 39K / month · 📦 20 · ⏱️ 14.12.2022):
+- [PyPi](https://pypi.org/project/paddleocr) (📥 40K / month · 📦 21 · ⏱️ 14.12.2022):
```
pip install paddleocr
```
EasyOCR (🥇33 · ⭐ 17K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (🥇32 · ⭐ 17K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 110 · 🔀 2.5K · 📥 3.9M · 📦 2.3K · 📋 740 - 24% open · ⏱️ 06.01.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 110 · 🔀 2.5K · 📥 4M · 📦 2.3K · 📋 750 - 25% open · ⏱️ 06.01.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (📥 160K / month · 📦 53 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/easyocr) (📥 150K / month · 📦 53 · ⏱️ 20.09.2022):
```
pip install easyocr
```
OCRmyPDF (🥈32 · ⭐ 8.4K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (🥇32 · ⭐ 8.5K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 79 · 🔀 670 · 📦 490 · 📋 940 - 11% open · ⏱️ 15.02.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 80 · 🔀 670 · 📦 490 · 📋 940 - 11% open · ⏱️ 17.03.2023):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (📥 27K / month · 📦 16 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/ocrmypdf) (📥 28K / month · 📦 17 · ⏱️ 04.01.2023):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 39K · ⏱️ 24.02.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 39K · ⏱️ 20.03.2023):
```
conda install -c conda-forge ocrmypdf
```
@@ -4724,7 +4739,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (📥 750K / month · 📦 1K · ⏱️ 16.08.2022):
+- [PyPi](https://pypi.org/project/pytesseract) (📥 790K / month · 📦 1K · ⏱️ 16.08.2022):
```
pip install pytesseract
```
@@ -4733,9 +4748,9 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge pytesseract
```
MMOCR (🥈30 · ⭐ 3.2K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (🥈30 · ⭐ 3.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (👨💻 73 · 🔀 610 · 📦 43 · 📋 810 - 14% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/open-mmlab/mmocr) (👨💻 73 · 🔀 610 · 📦 44 · 📋 800 - 13% open · ⏱️ 07.03.2023):
```
git clone https://github.com/open-mmlab/mmocr
@@ -4752,7 +4767,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (📥 45K / month · 📦 71 · ⏱️ 19.06.2021):
+- [PyPi](https://pypi.org/project/tesserocr) (📥 47K / month · 📦 71 · ⏱️ 19.06.2021):
```
pip install tesserocr
```
@@ -4761,9 +4776,9 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge tesserocr
```
keras-ocr (🥉27 · ⭐ 1.1K) - A packaged and flexible version of the CRAFT text detector and.. MIT
+keras-ocr (🥉26 · ⭐ 1.1K) - A packaged and flexible version of the CRAFT text detector and.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (👨💻 17 · 🔀 300 · 📥 480K · 📦 210 · 📋 190 - 41% open · ⏱️ 24.12.2022):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (👨💻 17 · 🔀 300 · 📥 490K · 📦 210 · 📋 190 - 41% open · ⏱️ 24.12.2022):
```
git clone https://github.com/faustomorales/keras-ocr
@@ -4772,7 +4787,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
pip install keras-ocr
```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 150 · ⏱️ 14.01.2022):
+- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 180 · ⏱️ 14.01.2022):
```
conda install -c anaconda keras-ocr
```
@@ -4784,7 +4799,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/WZBSocialScienceCenter/pdftabextract
```
-- [PyPi](https://pypi.org/project/pdftabextract) (📥 280 / month · 📦 1 · ⏱️ 09.01.2018):
+- [PyPi](https://pypi.org/project/pdftabextract) (📥 250 / month · 📦 1 · ⏱️ 09.01.2018):
```
pip install pdftabextract
```
@@ -4796,7 +4811,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (📥 1.3K / month · 📦 2 · ⏱️ 13.11.2018):
+- [PyPi](https://pypi.org/project/calamari_ocr) (📥 1.2K / month · 📦 2 · ⏱️ 13.11.2018):
```
pip install calamari_ocr
```
@@ -4864,12 +4879,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (🥇44 · ⭐ 25K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (👨💻 830 · 🔀 4.3K · 📥 30 · 📦 8.6K · 📋 13K - 21% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/ray-project/ray) (👨💻 830 · 🔀 4.3K · 📥 40 · 📦 8.6K · 📋 13K - 22% open · ⏱️ 23.03.2023):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (📥 2.3M / month · 📦 450 · ⏱️ 24.02.2023):
+- [PyPi](https://pypi.org/project/ray) (📥 2.3M / month · 📦 460 · ⏱️ 24.02.2023):
```
pip install ray
```
@@ -4880,7 +4895,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (🥇43 · ⭐ 11K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (👨💻 580 · 🔀 1.6K · 📦 47K · 📋 4.8K - 18% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/dask/dask) (👨💻 580 · 🔀 1.6K · 📦 47K · 📋 4.9K - 19% open · ⏱️ 22.03.2023):
```
git clone https://github.com/dask/dask
@@ -4889,14 +4904,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (📥 8.2M · ⏱️ 10.03.2023):
+- [Conda](https://anaconda.org/conda-forge/dask) (📥 8.3M · ⏱️ 10.03.2023):
```
conda install -c conda-forge dask
```
dask.distributed (🥇40 · ⭐ 1.4K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (👨💻 310 · 🔀 680 · 📦 28K · 📋 3.5K - 39% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/dask/distributed) (👨💻 310 · 🔀 680 · 📦 28K · 📋 3.5K - 39% open · ⏱️ 22.03.2023):
```
git clone https://github.com/dask/distributed
@@ -4905,31 +4920,31 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (📥 9.8M · ⏱️ 10.03.2023):
+- [Conda](https://anaconda.org/conda-forge/distributed) (📥 9.9M · ⏱️ 10.03.2023):
```
conda install -c conda-forge distributed
```
horovod (🥇38 · ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (👨💻 160 · 🔀 2.2K · 📦 830 · 📋 2.1K - 15% open · ⏱️ 23.02.2023):
+- [GitHub](https://github.com/horovod/horovod) (👨💻 160 · 🔀 2.2K · 📦 840 · 📋 2.2K - 16% open · ⏱️ 22.03.2023):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (📥 97K / month · 📦 30 · ⏱️ 21.06.2022):
+- [PyPi](https://pypi.org/project/horovod) (📥 98K / month · 📦 35 · ⏱️ 21.06.2022):
```
pip install horovod
```
DeepSpeed (🥇38 · ⭐ 9.5K) - DeepSpeed is a deep learning optimization library that makes.. MIT
+DeepSpeed (🥇38 · ⭐ 9.7K) - DeepSpeed is a deep learning optimization library that makes.. MIT
-- [GitHub](https://github.com/microsoft/DeepSpeed) (👨💻 160 · 🔀 1.1K · 📦 990 · 📋 1.4K - 48% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (👨💻 170 · 🔀 1.1K · 📦 1K · 📋 1.5K - 48% open · ⏱️ 22.03.2023):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (📥 380K / month · 📦 31 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/deepspeed) (📥 360K / month · 📦 31 · ⏱️ 17.01.2023):
```
pip install deepspeed
```
@@ -4940,12 +4955,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (🥈35 · ⭐ 4.2K) - Fast, distributed, secure AI for Big Data. Apache-2
-- [GitHub](https://github.com/intel-analytics/BigDL) (👨💻 180 · 🔀 1.1K · 📦 42 · 📋 1.9K - 38% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/intel-analytics/BigDL) (👨💻 180 · 🔀 1.1K · 📦 42 · 📋 1.9K - 38% open · ⏱️ 23.03.2023):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (📥 4.4K / month · 📦 1 · ⏱️ 07.07.2022):
+- [PyPi](https://pypi.org/project/bigdl) (📥 3.9K / month · 📦 1 · ⏱️ 07.07.2022):
```
pip install bigdl
```
@@ -4958,14 +4973,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
metrics (🥈35 · ⭐ 1.3K · 📈) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
+
+- [GitHub](https://github.com/Lightning-AI/metrics) (👨💻 190 · 🔀 290 · 📥 1.5K · 📦 9K · 📋 580 - 11% open · ⏱️ 21.03.2023):
+
+ ```
+ git clone https://github.com/Lightning-AI/metrics
+ ```
+- [PyPi](https://pypi.org/project/metrics) (📥 13K / month · 📦 14 · ⏱️ 28.04.2018):
+ ```
+ pip install metrics
+ ```
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 750K · ⏱️ 13.03.2023):
+ ```
+ conda install -c conda-forge torchmetrics
+ ```
+H2O-3 (🥈32 · ⭐ 6.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (👨💻 240 · 🔀 1.9K · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/h2oai/h2o-3) (👨💻 240 · 🔀 1.9K · ⏱️ 22.03.2023):
```
git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/h2o) (📥 410K / month · 📦 81 · ⏱️ 08.02.2023):
+- [PyPi](https://pypi.org/project/h2o) (📥 420K / month · 📦 81 · ⏱️ 08.02.2023):
```
pip install h2o
```
@@ -4981,43 +5012,27 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install fairscale
```
-- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 97K · ⏱️ 12.12.2022):
+- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 98K · ⏱️ 12.12.2022):
```
conda install -c conda-forge fairscale
```
ColossalAI (🥈31 · ⭐ 19K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨💻 110 · 🔀 2K · 📦 180 · 📋 700 - 40% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨💻 110 · 🔀 2.1K · 📦 190 · 📋 740 - 40% open · ⏱️ 23.03.2023):
```
git clone https://github.com/hpcaitech/colossalai
```
metrics (🥈31 · ⭐ 1.3K · 📉) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-
-- [GitHub](https://github.com/Lightning-AI/metrics) (👨💻 190 · 🔀 290 · 📥 1.5K · 📋 570 - 11% open · ⏱️ 16.03.2023):
-
- ```
- git clone https://github.com/Lightning-AI/metrics
- ```
-- [PyPi](https://pypi.org/project/metrics) (📥 13K / month · 📦 14 · ⏱️ 28.04.2018):
- ```
- pip install metrics
- ```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 740K · ⏱️ 13.03.2023):
- ```
- conda install -c conda-forge torchmetrics
- ```
-SynapseML (🥈30 · ⭐ 3.9K) - Simple and Distributed Machine Learning. MIT
+SynapseML (🥈30 · ⭐ 4K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 110 · 🔀 730 · 📋 660 - 42% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 110 · 🔀 730 · 📋 660 - 42% open · ⏱️ 23.03.2023):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (📥 76K / month · 📦 3 · ⏱️ 22.11.2022):
+- [PyPi](https://pypi.org/project/synapseml) (📥 80K / month · 📦 3 · ⏱️ 22.11.2022):
```
pip install synapseml
```
@@ -5029,7 +5044,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/maxpumperla/elephas
```
-- [PyPi](https://pypi.org/project/elephas) (📥 74K / month · 📦 3 · ⏱️ 04.03.2023):
+- [PyPi](https://pypi.org/project/elephas) (📥 75K / month · 📦 3 · ⏱️ 04.03.2023):
```
pip install elephas
```
@@ -5040,7 +5055,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (🥈29 · ⭐ 620) - Python bindings for MPI. BSD-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (👨💻 23 · 🔀 94 · 📥 10K · 📋 110 - 8% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/mpi4py/mpi4py) (👨💻 23 · 🔀 94 · 📥 10K · 📋 110 - 8% open · ⏱️ 21.03.2023):
```
git clone https://github.com/mpi4py/mpi4py
@@ -5061,7 +5076,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (📥 180K / month · 📦 65 · ⏱️ 27.05.2022):
+- [PyPi](https://pypi.org/project/dask-ml) (📥 160K / month · 📦 65 · ⏱️ 27.05.2022):
```
pip install dask-ml
```
@@ -5086,50 +5101,50 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge tensorflowonspark
```
petastorm (🥉26 · ⭐ 1.6K) - Petastorm library enables single machine or distributed training.. Apache-2
+petastorm (🥉27 · ⭐ 1.6K) - Petastorm library enables single machine or distributed training.. Apache-2
-- [GitHub](https://github.com/uber/petastorm) (👨💻 48 · 🔀 270 · 📥 360 · 📦 110 · 📋 320 - 53% open · ⏱️ 03.02.2023):
+- [GitHub](https://github.com/uber/petastorm) (👨💻 48 · 🔀 270 · 📥 360 · 📦 110 · 📋 320 - 52% open · ⏱️ 03.02.2023):
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (📥 40K / month · 📦 9 · ⏱️ 03.02.2023):
+- [PyPi](https://pypi.org/project/petastorm) (📥 38K / month · 📦 9 · ⏱️ 03.02.2023):
```
pip install petastorm
```
Hivemind (🥉26 · ⭐ 1.4K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [GitHub](https://github.com/learning-at-home/hivemind) (👨💻 28 · 🔀 88 · 📦 55 · 📋 150 - 34% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/learning-at-home/hivemind) (👨💻 28 · 🔀 92 · 📦 55 · 📋 150 - 34% open · ⏱️ 11.03.2023):
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (📥 6.5K / month · 📦 4 · ⏱️ 07.01.2023):
+- [PyPi](https://pypi.org/project/hivemind) (📥 5.4K / month · 📦 4 · ⏱️ 07.01.2023):
```
pip install hivemind
```
Mesh (🥉25 · ⭐ 1.4K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- [GitHub](https://github.com/tensorflow/mesh) (👨💻 49 · 🔀 230 · 📦 780 · 📋 110 - 87% open · ⏱️ 25.01.2023):
+- [GitHub](https://github.com/tensorflow/mesh) (👨💻 49 · 🔀 230 · 📦 790 · 📋 110 - 87% open · ⏱️ 25.01.2023):
```
git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 37K / month · 📦 32 · ⏱️ 15.05.2022):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 41K / month · 📦 32 · ⏱️ 15.05.2022):
```
pip install mesh-tensorflow
```
Submit it (🥉25 · ⭐ 800) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (👨💻 23 · 🔀 92 · 📦 1K · 📋 96 - 29% open · ⏱️ 28.09.2022):
+- [GitHub](https://github.com/facebookincubator/submitit) (👨💻 23 · 🔀 95 · 📦 1K · 📋 96 - 29% open · ⏱️ 28.09.2022):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (📥 54K / month · 📦 9 · ⏱️ 20.07.2022):
+- [PyPi](https://pypi.org/project/submitit) (📥 58K / month · 📦 9 · ⏱️ 20.07.2022):
```
pip install submitit
```
@@ -5138,9 +5153,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge submitit
```
MMLSpark (🥉23 · ⭐ 3.9K) - Simple and Distributed Machine Learning. MIT
+MMLSpark (🥉23 · ⭐ 4K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 110 · 🔀 730 · 📋 660 - 42% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 110 · 🔀 730 · 📋 650 - 42% open · ⏱️ 23.03.2023):
```
git clone https://github.com/microsoft/SynapseML
@@ -5150,21 +5165,21 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install mmlspark
```
analytics-zoo (🥉22 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
+analytics-zoo (🥉23 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
- [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨💻 110 · 🔀 720 · 📦 3 · 📋 1.4K - 38% open · ⏱️ 20.12.2022):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (📥 400 / month · 📦 1 · ⏱️ 22.08.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (📥 340 / month · 📦 1 · ⏱️ 22.08.2022):
```
pip install analytics-zoo
```
Apache Singa (🥉21 · ⭐ 2.8K · 💤) - a distributed deep learning platform. Apache-2
+Apache Singa (🥉22 · ⭐ 2.8K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (👨💻 79 · 🔀 880 · 📦 2 · 📋 100 - 37% open · ⏱️ 01.06.2022):
+- [GitHub](https://github.com/apache/singa) (👨💻 80 · 🔀 880 · 📦 2 · 📋 100 - 36% open · ⏱️ 20.03.2023):
```
git clone https://github.com/apache/singa
@@ -5178,29 +5193,29 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull apache/singa
```
parallelformers (🥉17 · ⭐ 620 · 💤) - Parallelformers: An Efficient Model Parallelization.. Apache-2
+parallelformers (🥉17 · ⭐ 630 · 💤) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- [GitHub](https://github.com/tunib-ai/parallelformers) (👨💻 5 · 🔀 46 · 📦 17 · 📋 39 - 56% open · ⏱️ 27.07.2022):
```
git clone https://github.com/tunib-ai/parallelformers
```
-- [PyPi](https://pypi.org/project/parallelformers) (📥 1.5K / month · ⏱️ 27.07.2022):
+- [PyPi](https://pypi.org/project/parallelformers) (📥 1.2K / month · ⏱️ 27.07.2022):
```
pip install parallelformers
```
mesh-transformer-jax (🥉16 · ⭐ 5.5K) - Model parallel transformers in JAX and Haiku. Apache-2
-- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨💻 23 · 🔀 780 · 📋 200 - 21% open · ⏱️ 12.01.2023):
+- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨💻 23 · 🔀 800 · 📋 200 - 21% open · ⏱️ 12.01.2023):
```
git clone https://github.com/kingoflolz/mesh-transformer-jax
```
moolib (🥉10 · ⭐ 350) - A library for distributed ML training with PyTorch. MIT
+moolib (🥉10 · ⭐ 360) - A library for distributed ML training with PyTorch. MIT
-- [GitHub](https://github.com/facebookresearch/moolib) (👨💻 6 · 🔀 16 · 📦 3 · 📋 18 - 33% open · ⏱️ 12.12.2022):
+- [GitHub](https://github.com/facebookresearch/moolib) (👨💻 6 · 🔀 17 · 📦 3 · 📋 18 - 33% open · ⏱️ 12.12.2022):
```
git clone https://github.com/facebookresearch/moolib
@@ -5209,13 +5224,13 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 11 hidden projects...
- DEAP (🥈31 · ⭐ 5K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0
-- ipyparallel (🥈29 · ⭐ 2.4K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed ❗Unlicensed Apache-2 MIT
- BytePS (🥉20 · ⭐ 3.4K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2
- TensorFrames (🥉20 · ⭐ 760 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 Apache-2 Apache-2 Apache-2
+- Fiber (🥉18 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2
- bluefog (🥉16 · ⭐ 280 · 💤) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2
- autodist (🥉11 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 Optuna (🥇40 · ⭐ 7.8K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (👨💻 230 · 🔀 810 · 📦 6.9K · 📋 1.4K - 8% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/optuna/optuna) (👨💻 230 · 🔀 810 · 📦 6.9K · 📋 1.4K - 8% open · ⏱️ 23.03.2023):
```
git clone https://github.com/optuna/optuna
@@ -5246,12 +5261,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (🥇36 · ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-- [GitHub](https://github.com/microsoft/nni) (👨💻 190 · 🔀 1.8K · 📦 360 · 📋 1.9K - 14% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/microsoft/nni) (👨💻 190 · 🔀 1.8K · 📦 360 · 📋 1.9K - 14% open · ⏱️ 23.03.2023):
```
git clone https://github.com/microsoft/nni
```
-- [PyPi](https://pypi.org/project/nni) (📥 16K / month · 📦 37 · ⏱️ 14.11.2022):
+- [PyPi](https://pypi.org/project/nni) (📥 18K / month · 📦 37 · ⏱️ 14.11.2022):
```
pip install nni
```
@@ -5263,7 +5278,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (📥 69K / month · 📦 73 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/featuretools) (📥 65K / month · 📦 73 · ⏱️ 31.01.2023):
```
pip install featuretools
```
@@ -5274,24 +5289,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (🥇34 · ⭐ 8.8K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (👨💻 140 · 🔀 1.4K · 📥 14K · 📦 450 · 📋 870 - 13% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/keras-team/autokeras) (👨💻 140 · 🔀 1.4K · 📥 15K · 📦 460 · 📋 870 - 13% open · ⏱️ 17.03.2023):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (📥 13K / month · 📦 11 · ⏱️ 28.01.2023):
+- [PyPi](https://pypi.org/project/autokeras) (📥 14K / month · 📦 11 · ⏱️ 28.01.2023):
```
pip install autokeras
```
Keras Tuner (🥇34 · ⭐ 2.7K) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (👨💻 55 · 🔀 360 · 📦 2.1K · 📋 440 - 42% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/keras-team/keras-tuner) (👨💻 55 · 🔀 360 · 📦 2.1K · 📋 440 - 42% open · ⏱️ 20.03.2023):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (📥 610K / month · 📦 53 · ⏱️ 28.01.2023):
+- [PyPi](https://pypi.org/project/keras-tuner) (📥 570K / month · 📦 53 · ⏱️ 28.01.2023):
```
pip install keras-tuner
```
@@ -5302,12 +5317,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (🥇33 · ⭐ 2.6K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (👨💻 89 · 🔀 310 · 📦 470 · 📋 390 - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pytorch/botorch) (👨💻 90 · 🔀 310 · 📦 470 · 📋 390 - 18% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (📥 220K / month · 📦 24 · ⏱️ 06.01.2023):
+- [PyPi](https://pypi.org/project/botorch) (📥 230K / month · 📦 24 · ⏱️ 06.01.2023):
```
pip install botorch
```
@@ -5318,28 +5333,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (🥇33 · ⭐ 2K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (👨💻 140 · 🔀 250 · 📦 420 · 📋 520 - 7% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/facebook/Ax) (👨💻 140 · 🔀 250 · 📦 420 · 📋 520 - 7% open · ⏱️ 23.03.2023):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (📥 150K / month · 📦 22 · ⏱️ 01.03.2023):
+- [PyPi](https://pypi.org/project/ax-platform) (📥 160K / month · 📦 22 · ⏱️ 01.03.2023):
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 6.9K · ⏱️ 02.03.2023):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 7.2K · ⏱️ 18.03.2023):
```
conda install -c conda-forge ax-platform
```
auto-sklearn (🥈32 · ⭐ 6.8K) - Automated Machine Learning with scikit-learn. BSD-3
-- [GitHub](https://github.com/automl/auto-sklearn) (👨💻 88 · 🔀 1.2K · 📥 42 · 📦 410 · 📋 960 - 15% open · ⏱️ 07.12.2022):
+- [GitHub](https://github.com/automl/auto-sklearn) (👨💻 88 · 🔀 1.2K · 📥 42 · 📦 420 · 📋 960 - 15% open · ⏱️ 07.12.2022):
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (📥 38K / month · 📦 31 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/auto-sklearn) (📥 40K / month · 📦 31 · ⏱️ 20.09.2022):
```
pip install auto-sklearn
```
@@ -5362,16 +5377,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (🥈30 · ⭐ 5.5K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (👨💻 100 · 🔀 700 · 📋 970 - 22% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/autogluon/autogluon) (👨💻 100 · 🔀 710 · 📋 980 - 22% open · ⏱️ 22.03.2023):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (📥 34K / month · 📦 5 · ⏱️ 07.07.2022):
+- [PyPi](https://pypi.org/project/autogluon) (📥 36K / month · 📦 5 · ⏱️ 07.07.2022):
```
pip install autogluon
```
-- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 2.8K · ⭐ 11 · ⏱️ 08.02.2023):
+- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 2.8K · ⭐ 11 · ⏱️ 17.03.2023):
```
docker pull autogluon/autogluon
```
@@ -5383,7 +5398,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (📥 33K / month · 📦 23 · ⏱️ 08.03.2022):
+- [PyPi](https://pypi.org/project/nevergrad) (📥 35K / month · 📦 23 · ⏱️ 08.03.2022):
```
pip install nevergrad
```
@@ -5394,16 +5409,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (🥈27 · ⭐ 2.5K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (👨💻 20 · 🔀 330 · 📦 65 · 📋 530 - 22% open · ⏱️ 30.12.2022):
+- [GitHub](https://github.com/mljar/mljar-supervised) (👨💻 20 · 🔀 330 · 📦 66 · 📋 530 - 22% open · ⏱️ 30.12.2022):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (📥 8.2K / month · 📦 2 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/mljar-supervised) (📥 9.2K / month · 📦 2 · ⏱️ 02.01.2023):
```
pip install mljar-supervised
```
-- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 6.9K · ⏱️ 30.12.2022):
+- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 7K · ⏱️ 30.12.2022):
```
conda install -c conda-forge mljar-supervised
```
@@ -5415,7 +5430,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/maxpumperla/hyperas
```
-- [PyPi](https://pypi.org/project/hyperas) (📥 12K / month · 📦 24 · ⏱️ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (📥 13K / month · 📦 24 · ⏱️ 28.02.2019):
```
pip install hyperas
```
@@ -5427,7 +5442,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (📥 24K / month · 📦 1 · ⏱️ 28.09.2022):
+- [PyPi](https://pypi.org/project/lazypredict) (📥 25K / month · 📦 1 · ⏱️ 28.09.2022):
```
pip install lazypredict
```
@@ -5443,43 +5458,43 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/SheffieldML/GPyOpt
```
-- [PyPi](https://pypi.org/project/gpyopt) (📥 37K / month · 📦 32 · ⏱️ 19.03.2020):
+- [PyPi](https://pypi.org/project/gpyopt) (📥 28K / month · 📦 32 · ⏱️ 19.03.2020):
```
pip install gpyopt
```
FEDOT (🥈24 · ⭐ 500) - Automated modeling and machine learning framework FEDOT. BSD-3
+Talos (🥈24 · ⭐ 1.6K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
-- [GitHub](https://github.com/aimclub/FEDOT) (👨💻 27 · 🔀 71 · 📦 28 · 📋 440 - 19% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/autonomio/talos) (👨💻 22 · 🔀 260 · 📦 160 · 📋 400 - 2% open · ⏱️ 18.09.2022):
```
- git clone https://github.com/nccr-itmo/FEDOT
+ git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/fedot) (📥 1.5K / month · ⏱️ 12.12.2022):
+- [PyPi](https://pypi.org/project/talos) (📥 1.1K / month · 📦 7 · ⏱️ 28.05.2022):
```
- pip install fedot
+ pip install talos
```
Talos (🥉23 · ⭐ 1.6K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
+FEDOT (🥈24 · ⭐ 510) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/autonomio/talos) (👨💻 22 · 🔀 260 · 📦 160 · 📋 400 - 2% open · ⏱️ 18.09.2022):
+- [GitHub](https://github.com/aimclub/FEDOT) (👨💻 27 · 🔀 71 · 📦 28 · 📋 440 - 19% open · ⏱️ 22.03.2023):
```
- git clone https://github.com/autonomio/talos
+ git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/talos) (📥 990 / month · 📦 7 · ⏱️ 28.05.2022):
+- [PyPi](https://pypi.org/project/fedot) (📥 1.7K / month · ⏱️ 12.12.2022):
```
- pip install talos
+ pip install fedot
```
Hyperactive (🥉23 · ⭐ 430) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨💻 7 · 🔀 39 · 📥 110 · 📦 17 · 📋 56 - 16% open · ⏱️ 04.03.2023):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨💻 7 · 🔀 39 · 📥 110 · 📦 17 · 📋 57 - 15% open · ⏱️ 04.03.2023):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (📥 680 / month · 📦 4 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/hyperactive) (📥 690 / month · 📦 4 · ⏱️ 04.01.2023):
```
pip install hyperactive
```
@@ -5503,11 +5518,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/automl/HpBandSter
```
-- [PyPi](https://pypi.org/project/hpbandster) (📥 17K / month · 📦 10 · ⏱️ 06.11.2018):
+- [PyPi](https://pypi.org/project/hpbandster) (📥 18K / month · 📦 10 · ⏱️ 06.11.2018):
```
pip install hpbandster
```
-- [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 7.8K · ⏱️ 11.12.2020):
+- [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 8K · ⏱️ 11.12.2020):
```
conda install -c conda-forge hpbandster
```
@@ -5519,7 +5534,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/Neuraxio/Neuraxle
```
-- [PyPi](https://pypi.org/project/neuraxle) (📥 440 / month · 📦 1 · ⏱️ 16.08.2022):
+- [PyPi](https://pypi.org/project/neuraxle) (📥 380 / month · 📦 1 · ⏱️ 16.08.2022):
```
pip install neuraxle
```
@@ -5531,31 +5546,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (📥 21K / month · 📦 2 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/featurewiz) (📥 26K / month · 📦 2 · ⏱️ 02.01.2023):
```
pip install featurewiz
```
AlphaPy (🥉20 · ⭐ 880 · 💤) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2
+AlphaPy (🥉20 · ⭐ 890 · 💤) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2
- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨💻 3 · 🔀 170 · 📦 3 · 📋 42 - 30% open · ⏱️ 23.04.2022):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (📥 200 / month · ⏱️ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (📥 170 / month · ⏱️ 29.08.2020):
```
pip install alphapy
```
Dragonfly (🥉20 · ⭐ 760) - An open source python library for scalable Bayesian optimisation. MIT
+Dragonfly (🥉20 · ⭐ 770) - An open source python library for scalable Bayesian optimisation. MIT
- [GitHub](https://github.com/dragonfly/dragonfly) (👨💻 13 · 🔀 220 · 📋 59 - 66% open · ⏱️ 01.10.2022):
```
git clone https://github.com/dragonfly/dragonfly
```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (📥 35K / month · 📦 2 · ⏱️ 01.10.2022):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (📥 33K / month · 📦 2 · ⏱️ 01.10.2022):
```
pip install dragonfly-opt
```
@@ -5579,7 +5594,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/cerlymarco/shap-hypetune
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (📥 5.1K / month · 📦 1 · ⏱️ 24.08.2022):
+- [PyPi](https://pypi.org/project/shap-hypetune) (📥 5.6K / month · 📦 1 · ⏱️ 24.08.2022):
```
pip install shap-hypetune
```
@@ -5587,11 +5602,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Show 26 hidden projects...
- Hyperopt (🥇33 · ⭐ 6.6K · 💀) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- scikit-optimize (🥇33 · ⭐ 2.5K · 💀) - Sequential model-based optimization with a.. BSD-3
+- scikit-optimize (🥇33 · ⭐ 2.6K · 💀) - Sequential model-based optimization with a.. BSD-3
- TPOT (🥈32 · ⭐ 9K · 💤) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 BSD-3
- SMAC3 (🥈25 · ⭐ 810) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause
-- AdaNet (🥈24 · ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 Apache-2 BSD-3
- auto_ml (🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- MLBox (🥉22 · ⭐ 1.4K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause
@@ -5609,8 +5624,8 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- ENAS (🥉13 · ⭐ 2.6K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
- Auptimizer (🥉13 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0
- model_search (🥉12 · ⭐ 3.2K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2
-- Hypermax (🥉12 · ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. BSD-3
- Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT
+- Hypermax (🥉11 · ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. BSD-3
- Hypertunity (🥉9 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -5628,30 +5643,30 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (📥 680K / month · 📦 2.6K · ⏱️ 04.10.2022):
+- [PyPi](https://pypi.org/project/gym) (📥 690K / month · 📦 2.6K · ⏱️ 04.10.2022):
```
pip install gym
```
-- [Conda](https://anaconda.org/conda-forge/gym) (📥 200K · ⏱️ 26.01.2023):
+- [Conda](https://anaconda.org/conda-forge/gym) (📥 210K · ⏱️ 26.01.2023):
```
conda install -c conda-forge gym
```
TF-Agents (🥇33 · ⭐ 2.4K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (👨💻 130 · 🔀 680 · 📦 1.1K · 📋 620 - 27% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/agents) (👨💻 130 · 🔀 680 · 📦 1.1K · 📋 620 - 27% open · ⏱️ 23.03.2023):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (📥 110K / month · 📦 2 · ⏱️ 03.12.2022):
+- [PyPi](https://pypi.org/project/tf-agents) (📥 110K / month · 📦 5 · ⏱️ 03.12.2022):
```
pip install tf-agents
```
FinRL (🥇31 · ⭐ 6.9K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (🥇31 · ⭐ 7K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨💻 89 · 🔀 1.7K · 📦 20 · 📋 550 - 17% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨💻 89 · 🔀 1.7K · 📦 20 · 📋 560 - 17% open · ⏱️ 23.03.2023):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
@@ -5668,14 +5683,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (📥 1.9K / month · 📦 14 · ⏱️ 07.01.2023):
+- [PyPi](https://pypi.org/project/vizdoom) (📥 2.1K / month · 📦 14 · ⏱️ 07.01.2023):
```
pip install vizdoom
```
Dopamine (🥈28 · ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
-- [GitHub](https://github.com/google/dopamine) (👨💻 15 · 🔀 1.3K · 📋 180 - 50% open · ⏱️ 27.02.2023):
+- [GitHub](https://github.com/google/dopamine) (👨💻 15 · 🔀 1.3K · 📋 180 - 50% open · ⏱️ 20.03.2023):
```
git clone https://github.com/google/dopamine
@@ -5685,18 +5700,18 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
pip install dopamine-rl
```
Acme (🥈28 · ⭐ 3K) - A library of reinforcement learning components and agents. Apache-2
+Acme (🥈28 · ⭐ 3.1K) - A library of reinforcement learning components and agents. Apache-2
-- [GitHub](https://github.com/deepmind/acme) (👨💻 82 · 🔀 380 · 📦 130 · 📋 240 - 17% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/deepmind/acme) (👨💻 83 · 🔀 380 · 📦 130 · 📋 240 - 17% open · ⏱️ 23.03.2023):
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (📥 4.6K / month · 📦 2 · ⏱️ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (📥 4.8K / month · 📦 3 · ⏱️ 10.02.2022):
```
pip install dm-acme
```
-- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 5.6K · ⏱️ 09.12.2021):
+- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 5.7K · ⏱️ 09.12.2021):
```
conda install -c conda-forge dm-acme
```
@@ -5708,7 +5723,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (📥 1.3K / month · 📦 1 · ⏱️ 28.11.2022):
+- [PyPi](https://pypi.org/project/parl) (📥 1.4K / month · 📦 1 · ⏱️ 28.11.2022):
```
pip install parl
```
@@ -5732,12 +5747,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/garage) (📥 700 / month · 📦 2 · ⏱️ 23.03.2021):
+- [PyPi](https://pypi.org/project/garage) (📥 660 / month · 📦 2 · ⏱️ 23.03.2021):
```
pip install garage
```
Stable Baselines (🥉24 · ⭐ 3.7K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
+Stable Baselines (🥉24 · ⭐ 3.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
- [GitHub](https://github.com/hill-a/stable-baselines) (👨💻 110 · 🔀 700 · 📋 940 - 12% open · ⏱️ 04.09.2022):
@@ -5751,24 +5766,24 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (🥉24 · ⭐ 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/ReAgent) (👨💻 150 · 🔀 480 · 📋 140 - 47% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (👨💻 150 · 🔀 480 · 📋 140 - 47% open · ⏱️ 22.03.2023):
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (📥 23 / month · ⏱️ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (📥 22 / month · ⏱️ 27.05.2020):
```
pip install reagent
```
RLax (🥉23 · ⭐ 990) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/deepmind/rlax) (👨💻 21 · 🔀 71 · 📦 110 · 📋 33 - 45% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/deepmind/rlax) (👨💻 21 · 🔀 71 · 📦 110 · 📋 33 - 45% open · ⏱️ 17.03.2023):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (📥 4.2K / month · 📦 3 · ⏱️ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (📥 4.7K / month · 📦 3 · ⏱️ 09.01.2023):
```
pip install rlax
```
@@ -5792,26 +5807,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/IntelLabs/coach
```
-- [PyPi](https://pypi.org/project/rl_coach) (📥 130 / month · 📦 2 · ⏱️ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (📥 120 / month · 📦 2 · ⏱️ 10.10.2019):
```
pip install rl_coach
```
PFRL (🥉20 · ⭐ 1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
-- [GitHub](https://github.com/pfnet/pfrl) (👨💻 18 · 🔀 140 · 📦 74 · 📋 73 - 45% open · ⏱️ 21.09.2022):
+- [GitHub](https://github.com/pfnet/pfrl) (👨💻 18 · 🔀 140 · 📦 75 · 📋 73 - 45% open · ⏱️ 21.09.2022):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (📥 440 / month · 📦 1 · ⏱️ 07.07.2021):
+- [PyPi](https://pypi.org/project/pfrl) (📥 400 / month · 📦 1 · ⏱️ 07.07.2021):
```
pip install pfrl
```
rliable (🥉13 · ⭐ 560) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
-- [GitHub](https://github.com/google-research/rliable) (👨💻 6 · 🔀 34 · 📦 50 · 📋 12 - 8% open · ⏱️ 20.02.2023):
+- [GitHub](https://github.com/google-research/rliable) (👨💻 6 · 🔀 34 · 📦 51 · 📋 12 - 8% open · ⏱️ 20.02.2023):
```
git clone https://github.com/google-research/rliable
@@ -5841,47 +5856,47 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (🥇32 · ⭐ 15K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/microsoft/recommenders) (👨💻 120 · 🔀 2.7K · 📥 310 · 📦 62 · 📋 750 - 19% open · ⏱️ 21.11.2022):
+- [GitHub](https://github.com/microsoft/recommenders) (👨💻 120 · 🔀 2.7K · 📥 310 · 📦 62 · 📋 750 - 20% open · ⏱️ 21.11.2022):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (📥 22K / month · 📦 2 · ⏱️ 20.07.2022):
+- [PyPi](https://pypi.org/project/recommenders) (📥 23K / month · 📦 2 · ⏱️ 20.07.2022):
```
pip install recommenders
```
TF Recommenders (🥇31 · ⭐ 1.5K) - TensorFlow Recommenders is a library for building.. Apache-2
+lightfm (🥇31 · ⭐ 4.3K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
-- [GitHub](https://github.com/tensorflow/recommenders) (👨💻 41 · 🔀 230 · 📦 200 · 📋 370 - 53% open · ⏱️ 14.02.2023):
+- [GitHub](https://github.com/lyst/lightfm) (👨💻 45 · 🔀 660 · 📦 1K · 📋 490 - 27% open · ⏱️ 20.03.2023):
```
- git clone https://github.com/tensorflow/recommenders
+ git clone https://github.com/lyst/lightfm
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 380K / month · 📦 1 · ⏱️ 23.08.2021):
+- [PyPi](https://pypi.org/project/lightfm) (📥 370K / month · 📦 47 · ⏱️ 27.11.2020):
```
- pip install tensorflow-recommenders
+ pip install lightfm
+ ```
+- [Conda](https://anaconda.org/conda-forge/lightfm) (📥 140K · ⏱️ 09.03.2022):
+ ```
+ conda install -c conda-forge lightfm
```
lightfm (🥈30 · ⭐ 4.3K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
+TF Recommenders (🥇31 · ⭐ 1.5K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/lyst/lightfm) (👨💻 45 · 🔀 650 · 📦 1K · 📋 480 - 26% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/tensorflow/recommenders) (👨💻 41 · 🔀 230 · 📦 200 · 📋 370 - 53% open · ⏱️ 14.02.2023):
```
- git clone https://github.com/lyst/lightfm
- ```
-- [PyPi](https://pypi.org/project/lightfm) (📥 380K / month · 📦 45 · ⏱️ 27.11.2020):
- ```
- pip install lightfm
+ git clone https://github.com/tensorflow/recommenders
```
-- [Conda](https://anaconda.org/conda-forge/lightfm) (📥 140K · ⏱️ 09.03.2022):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 390K / month · 📦 1 · ⏱️ 23.08.2021):
```
- conda install -c conda-forge lightfm
+ pip install tensorflow-recommenders
```
implicit (🥈30 · ⭐ 3.1K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
-- [GitHub](https://github.com/benfred/implicit) (👨💻 34 · 🔀 580 · 📥 320 · 📦 880 · 📋 450 - 17% open · ⏱️ 11.12.2022):
+- [GitHub](https://github.com/benfred/implicit) (👨💻 34 · 🔀 580 · 📥 330 · 📦 880 · 📋 450 - 17% open · ⏱️ 11.12.2022):
```
git clone https://github.com/benfred/implicit
@@ -5902,7 +5917,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 130K / month · 📦 12 · ⏱️ 16.11.2021):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 120K / month · 📦 12 · ⏱️ 16.11.2021):
```
pip install tensorflow_ranking
```
@@ -5914,23 +5929,23 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (📥 99K / month · 📦 49 · ⏱️ 23.09.2022):
+- [PyPi](https://pypi.org/project/scikit-surprise) (📥 98K / month · 📦 49 · ⏱️ 23.09.2022):
```
pip install scikit-surprise
```
-- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 290K · ⏱️ 31.10.2022):
+- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 300K · ⏱️ 31.10.2022):
```
conda install -c conda-forge scikit-surprise
```
RecBole (🥈27 · ⭐ 2.5K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (👨💻 60 · 🔀 470 · 📋 650 - 11% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (👨💻 61 · 🔀 470 · 📋 660 - 10% open · ⏱️ 18.03.2023):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (📥 2.7K / month · 📦 2 · ⏱️ 05.10.2022):
+- [PyPi](https://pypi.org/project/recbole) (📥 3.2K / month · 📦 2 · ⏱️ 05.10.2022):
```
pip install recbole
```
@@ -5941,7 +5956,7 @@ _Libraries for building and evaluating recommendation systems._
torchrec (🥉24 · ⭐ 1.3K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (👨💻 140 · 🔀 240 · 📋 160 - 61% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pytorch/torchrec) (👨💻 150 · 🔀 240 · 📋 160 - 62% open · ⏱️ 23.03.2023):
```
git clone https://github.com/pytorch/torchrec
@@ -5953,7 +5968,7 @@ _Libraries for building and evaluating recommendation systems._
Cornac (🥉23 · ⭐ 700) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (👨💻 15 · 🔀 110 · 📦 150 · 📋 120 - 8% open · ⏱️ 18.10.2022):
+- [GitHub](https://github.com/PreferredAI/cornac) (👨💻 15 · 🔀 120 · 📦 150 · 📋 120 - 9% open · ⏱️ 18.10.2022):
```
git clone https://github.com/PreferredAI/cornac
@@ -5967,14 +5982,14 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge cornac
```
recmetrics (🥉20 · ⭐ 480) - A library of metrics for evaluating recommender systems. MIT
+recmetrics (🥉20 · ⭐ 490) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨💻 19 · 🔀 91 · 📥 1 · 📦 36 · 📋 23 - 39% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨💻 19 · 🔀 94 · 📥 1 · 📦 36 · 📋 21 - 33% open · ⏱️ 17.03.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
-- [PyPi](https://pypi.org/project/recmetrics) (📥 3.9K / month · ⏱️ 26.04.2022):
+- [PyPi](https://pypi.org/project/recmetrics) (📥 4K / month · ⏱️ 26.04.2022):
```
pip install recmetrics
```
@@ -5997,37 +6012,37 @@ _Libraries for building and evaluating recommendation systems._
_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
-PySyft (🥇36 · ⭐ 8.6K) - data science on data without acquiring a copy. Apache-2
+PySyft (🥇36 · ⭐ 8.7K) - data science on data without acquiring a copy. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (👨💻 490 · 🔀 1.9K · 📋 3.4K - 4% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/OpenMined/PySyft) (👨💻 490 · 🔀 1.9K · 📋 3.4K - 4% open · ⏱️ 23.03.2023):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (📥 5.6K / month · 📦 5 · ⏱️ 20.01.2023):
+- [PyPi](https://pypi.org/project/syft) (📥 6.3K / month · 📦 5 · ⏱️ 20.01.2023):
```
pip install syft
```
Opacus (🥈29 · ⭐ 1.4K) - Training PyTorch models with differential privacy. Apache-2
+Opacus (🥈28 · ⭐ 1.4K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (👨💻 67 · 🔀 270 · 📥 55 · 📦 540 · 📋 230 - 23% open · ⏱️ 22.02.2023):
+- [GitHub](https://github.com/pytorch/opacus) (👨💻 67 · 🔀 270 · 📥 63 · 📦 550 · 📋 240 - 24% open · ⏱️ 22.02.2023):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (📥 23K / month · 📦 12 · ⏱️ 14.11.2022):
+- [PyPi](https://pypi.org/project/opacus) (📥 25K / month · 📦 12 · ⏱️ 14.11.2022):
```
pip install opacus
```
-- [Conda](https://anaconda.org/conda-forge/opacus) (📥 7.7K · ⏱️ 09.09.2022):
+- [Conda](https://anaconda.org/conda-forge/opacus) (📥 7.8K · ⏱️ 09.09.2022):
```
conda install -c conda-forge opacus
```
TensorFlow Privacy (🥈27 · ⭐ 1.7K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (👨💻 53 · 🔀 410 · 📥 95 · 📋 190 - 53% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/privacy) (👨💻 53 · 🔀 410 · 📥 96 · 📋 190 - 52% open · ⏱️ 16.03.2023):
```
git clone https://github.com/tensorflow/privacy
@@ -6037,14 +6052,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install tensorflow-privacy
```
FATE (🥉26 · ⭐ 4.9K) - An Industrial Grade Federated Learning Framework. Apache-2
+FATE (🥉25 · ⭐ 4.9K) - An Industrial Grade Federated Learning Framework. Apache-2
-- [GitHub](https://github.com/FederatedAI/FATE) (👨💻 88 · 🔀 1.4K · 📋 1.6K - 40% open · ⏱️ 04.01.2023):
+- [GitHub](https://github.com/FederatedAI/FATE) (👨💻 88 · 🔀 1.5K · 📋 1.6K - 40% open · ⏱️ 04.01.2023):
```
git clone https://github.com/FederatedAI/FATE
```
-- [PyPi](https://pypi.org/project/ETAF) (📥 13 / month · ⏱️ 06.05.2020):
+- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):
```
pip install ETAF
```
@@ -6056,7 +6071,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (📥 630 / month · 📦 2 · ⏱️ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (📥 670 / month · 📦 2 · ⏱️ 08.12.2022):
```
pip install crypten
```
@@ -6068,7 +6083,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (📥 820 / month · 📦 9 · ⏱️ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (📥 800 / month · 📦 9 · ⏱️ 16.11.2022):
```
pip install tf-encrypted
```
@@ -6085,9 +6100,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
_Libraries to organize, track, and visualize machine learning experiments._
-Tensorboard (🥇43 · ⭐ 6.1K) - TensorFlows Visualization Toolkit. Apache-2
+Tensorboard (🥇43 · ⭐ 6.2K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (👨💻 300 · 🔀 1.6K · 📦 150K · 📋 1.8K - 34% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/tensorflow/tensorboard) (👨💻 300 · 🔀 1.6K · 📦 150K · 📋 1.8K - 34% open · ⏱️ 23.03.2023):
```
git clone https://github.com/tensorflow/tensorboard
@@ -6103,7 +6118,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (🥇41 · ⭐ 14K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (👨💻 560 · 🔀 3.2K · 📋 2.9K - 35% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/mlflow/mlflow) (👨💻 560 · 🔀 3.3K · 📋 2.9K - 35% open · ⏱️ 23.03.2023):
```
git clone https://github.com/mlflow/mlflow
@@ -6119,23 +6134,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (🥇41 · ⭐ 11K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (👨💻 280 · 🔀 1K · 📥 110K · 📦 6.8K · 📋 4.2K - 14% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/iterative/dvc) (👨💻 280 · 🔀 1K · 📥 110K · 📦 6.9K · 📋 4.2K - 14% open · ⏱️ 23.03.2023):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (📥 1.2M / month · 📦 86 · ⏱️ 06.03.2023):
+- [PyPi](https://pypi.org/project/dvc) (📥 1.3M / month · 📦 87 · ⏱️ 06.03.2023):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.4M · ⏱️ 15.03.2023):
+- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.4M · ⏱️ 20.03.2023):
```
conda install -c conda-forge dvc
```
wandb client (🥇39 · ⭐ 5.6K) - A tool for visualizing and tracking your machine learning.. MIT
+wandb client (🥇39 · ⭐ 5.7K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/wandb/wandb) (👨💻 140 · 🔀 450 · 📦 19K · 📋 2.3K - 22% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/wandb/wandb) (👨💻 140 · 🔀 450 · 📦 19K · 📋 2.4K - 22% open · ⏱️ 20.03.2023):
```
git clone https://github.com/wandb/client
@@ -6151,7 +6166,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (🥈38 · ⭐ 1.8K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨💻 340 · 🔀 940 · 📦 2.4K · 📋 1.2K - 37% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨💻 340 · 🔀 940 · 📦 2.4K · 📋 1.2K - 37% open · ⏱️ 22.03.2023):
```
git clone https://github.com/aws/sagemaker-python-sdk
@@ -6165,14 +6180,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (🥈36 · ⭐ 7K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (🥈37 · ⭐ 7.1K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (👨💻 120 · 🔀 1.6K · 📥 640 · 📦 3.3K · 📋 2K - 14% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/pycaret/pycaret) (👨💻 120 · 🔀 1.6K · 📥 640 · 📦 3.3K · 📋 2K - 12% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (📥 400K / month · 📦 14 · ⏱️ 09.01.2023):
+- [PyPi](https://pypi.org/project/pycaret) (📥 390K / month · 📦 14 · ⏱️ 09.01.2023):
```
pip install pycaret
```
@@ -6181,37 +6196,25 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge pycaret
```
AzureML SDK (🥈34 · ⭐ 3.6K) - Python notebooks with ML and deep learning examples with Azure.. MIT
+tensorboardX (🥈33 · ⭐ 7.6K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨💻 61 · 🔀 2.3K · 📥 480 · 📋 1.4K - 24% open · ⏱️ 14.02.2023):
+- [GitHub](https://github.com/lanpa/tensorboardX) (👨💻 75 · 🔀 870 · 📥 370 · 📦 28K · 📋 450 - 17% open · ⏱️ 28.02.2023):
```
- git clone https://github.com/Azure/MachineLearningNotebooks
+ git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (📥 1.4M / month · 📦 48 · ⏱️ 05.12.2022):
+- [PyPi](https://pypi.org/project/tensorboardX) (📥 1.3M / month · 📦 940 · ⏱️ 05.06.2022):
```
- pip install azureml-sdk
+ pip install tensorboardX
```
-tensorboardX (🥈33 · ⭐ 7.6K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-
-- [GitHub](https://github.com/lanpa/tensorboardX) (👨💻 75 · 🔀 870 · 📥 370 · 📦 28K · 📋 450 - 17% open · ⏱️ 28.02.2023):
-
- ```
- git clone https://github.com/lanpa/tensorboardX
- ```
-- [PyPi](https://pypi.org/project/tensorboardX) (📥 1.3M / month · 📦 940 · ⏱️ 05.06.2022):
- ```
- pip install tensorboardX
- ```
-- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 990K · ⏱️ 07.06.2022):
+- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1M · ⏱️ 07.06.2022):
```
conda install -c conda-forge tensorboardx
```
ClearML (🥈33 · ⭐ 4.2K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (👨💻 73 · 🔀 560 · 📥 810 · 📦 460 · 📋 810 - 44% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/allegroai/clearml) (👨💻 75 · 🔀 560 · 📥 840 · 📦 470 · 📋 810 - 44% open · ⏱️ 23.03.2023):
```
git clone https://github.com/allegroai/clearml
@@ -6225,25 +6228,37 @@ _Libraries to organize, track, and visualize machine learning experiments._
docker pull allegroai/trains
```
AzureML SDK (🥈33 · ⭐ 3.6K) - Python notebooks with ML and deep learning examples with Azure.. MIT
+
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨💻 61 · 🔀 2.3K · 📥 480 · 📋 1.4K - 24% open · ⏱️ 14.02.2023):
+
+ ```
+ git clone https://github.com/Azure/MachineLearningNotebooks
+ ```
+- [PyPi](https://pypi.org/project/azureml-sdk) (📥 1.4M / month · 📦 48 · ⏱️ 05.12.2022):
+ ```
+ pip install azureml-sdk
+ ```
+snakemake (🥈33 · ⭐ 1.6K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (👨💻 280 · 🔀 410 · 📦 1.5K · 📋 1.3K - 59% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/snakemake/snakemake) (👨💻 290 · 🔀 410 · 📦 1.5K · 📋 1.3K - 59% open · ⏱️ 23.03.2023):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (📥 37K / month · 📦 240 · ⏱️ 18.01.2023):
+- [PyPi](https://pypi.org/project/snakemake) (📥 39K / month · 📦 240 · ⏱️ 18.01.2023):
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (📥 680K · ⏱️ 14.03.2023):
+- [Conda](https://anaconda.org/bioconda/snakemake) (📥 690K · ⏱️ 23.03.2023):
```
conda install -c bioconda snakemake
```
Metaflow (🥈32 · ⭐ 6.5K) - Build and manage real-life data science projects with ease!. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (👨💻 65 · 🔀 620 · 📦 440 · 📋 530 - 50% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/Netflix/metaflow) (👨💻 65 · 🔀 620 · 📦 440 · 📋 530 - 50% open · ⏱️ 22.03.2023):
```
git clone https://github.com/Netflix/metaflow
@@ -6259,12 +6274,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (🥈32 · ⭐ 4.6K) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨💻 32 · 🔀 620 · 📥 280 · 📦 1.8K · 📋 470 - 27% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨💻 32 · 🔀 620 · 📥 280 · 📦 1.8K · 📋 480 - 27% open · ⏱️ 16.03.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (📥 110K / month · 📦 38 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/visualdl) (📥 120K / month · 📦 38 · ⏱️ 17.01.2023):
```
pip install visualdl
```
@@ -6276,18 +6291,18 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (📥 45K / month · 📦 100 · ⏱️ 25.01.2023):
+- [PyPi](https://pypi.org/project/sacred) (📥 41K / month · 📦 100 · ⏱️ 25.01.2023):
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (📥 2.5K · ⏱️ 14.11.2021):
+- [Conda](https://anaconda.org/conda-forge/sacred) (📥 2.6K · ⏱️ 14.11.2021):
```
conda install -c conda-forge sacred
```
aim (🥈31 · ⭐ 3.3K) - Aim easy-to-use and performant open-source ML experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (👨💻 54 · 🔀 200 · 📦 160 · 📋 830 - 27% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/aimhubio/aim) (👨💻 55 · 🔀 200 · 📦 170 · 📋 830 - 27% open · ⏱️ 23.03.2023):
```
git clone https://github.com/aimhubio/aim
@@ -6301,6 +6316,22 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge aim
```
Neptune.ai (🥈30 · ⭐ 370) - Experiment tracking tool and model registry. Apache-2
+
+- [GitHub](https://github.com/neptune-ai/neptune-client) (👨💻 39 · 🔀 38 · 📋 200 - 15% open · ⏱️ 22.03.2023):
+
+ ```
+ git clone https://github.com/neptune-ai/neptune-client
+ ```
+- [PyPi](https://pypi.org/project/neptune-client) (📥 570K / month · 📦 46 · ⏱️ 01.07.2022):
+ ```
+ pip install neptune-client
+ ```
+- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 160K · ⏱️ 22.03.2023):
+ ```
+ conda install -c conda-forge neptune-client
+ ```
+kaggle (🥈29 · ⭐ 5.2K) - Official Kaggle API. Apache-2
- [GitHub](https://github.com/Kaggle/kaggle-api) (👨💻 37 · 🔀 980 · 📋 400 - 61% open · ⏱️ 01.03.2023):
@@ -6308,7 +6339,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/kaggle) (📥 170K / month · 📦 360 · ⏱️ 13.03.2021):
+- [PyPi](https://pypi.org/project/kaggle) (📥 180K / month · 📦 360 · ⏱️ 13.03.2021):
```
pip install kaggle
```
@@ -6324,30 +6355,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/catalyst-team/catalyst
```
-- [PyPi](https://pypi.org/project/catalyst) (📥 73K / month · 📦 29 · ⏱️ 29.04.2022):
+- [PyPi](https://pypi.org/project/catalyst) (📥 65K / month · 📦 29 · ⏱️ 29.04.2022):
```
pip install catalyst
```
Neptune.ai (🥈29 · ⭐ 370) - Experiment tracking tool and model registry. Apache-2
-
-- [GitHub](https://github.com/neptune-ai/neptune-client) (👨💻 38 · 🔀 37 · 📋 200 - 15% open · ⏱️ 16.03.2023):
-
- ```
- git clone https://github.com/neptune-ai/neptune-client
- ```
-- [PyPi](https://pypi.org/project/neptune-client) (📥 570K / month · 📦 46 · ⏱️ 01.07.2022):
- ```
- pip install neptune-client
- ```
-- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 160K · ⏱️ 14.03.2023):
- ```
- conda install -c conda-forge neptune-client
- ```
-Guild AI (🥉28 · ⭐ 780) - Experiment tracking, ML developer tools. Apache-2
-- [GitHub](https://github.com/guildai/guildai) (👨💻 25 · 🔀 71 · 📥 7 · 📦 74 · 📋 410 - 47% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/guildai/guildai) (👨💻 25 · 🔀 71 · 📥 7 · 📦 74 · 📋 410 - 47% open · ⏱️ 23.03.2023):
```
git clone https://github.com/guildai/guildai
@@ -6359,36 +6374,36 @@ _Libraries to organize, track, and visualize machine learning experiments._
ml-metadata (🥉28 · ⭐ 520) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (👨💻 15 · 🔀 120 · 📥 1.8K · 📦 310 · 📋 97 - 27% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/google/ml-metadata) (👨💻 15 · 🔀 120 · 📥 1.8K · 📦 310 · 📋 97 - 27% open · ⏱️ 16.03.2023):
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (📥 790K / month · 📦 19 · ⏱️ 07.12.2022):
+- [PyPi](https://pypi.org/project/ml-metadata) (📥 720K / month · 📦 19 · ⏱️ 07.12.2022):
```
pip install ml-metadata
```
TNT (🥉27 · ⭐ 1.5K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (👨💻 82 · 🔀 230 · 📋 63 - 4% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/pytorch/tnt) (👨💻 82 · 🔀 230 · 📋 62 - 3% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (📥 15K / month · 📦 38 · ⏱️ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (📥 14K / month · 📦 38 · ⏱️ 29.07.2018):
```
pip install torchnet
```
quinn (🥉26 · ⭐ 430 · 📈) - pyspark methods to enhance developer productivity. Apache-2
+quinn (🥉26 · ⭐ 440) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/MrPowers/quinn) (👨💻 10 · 🔀 59 · 📥 4 · 📦 53 · 📋 48 - 56% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/MrPowers/quinn) (👨💻 11 · 🔀 60 · 📥 4 · 📦 53 · 📋 48 - 56% open · ⏱️ 16.03.2023):
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (📥 670K / month · 📦 6 · ⏱️ 17.02.2023):
+- [PyPi](https://pypi.org/project/quinn) (📥 740K / month · 📦 6 · ⏱️ 17.02.2023):
```
pip install quinn
```
@@ -6407,38 +6422,38 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (🥉24 · ⭐ 1.3K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/labmlai/labml) (👨💻 7 · 🔀 90 · 📦 73 · 📋 37 - 54% open · ⏱️ 23.11.2022):
+- [GitHub](https://github.com/labmlai/labml) (👨💻 7 · 🔀 93 · 📦 76 · 📋 39 - 56% open · ⏱️ 22.03.2023):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (📥 1.5K / month · 📦 6 · ⏱️ 23.11.2022):
+- [PyPi](https://pypi.org/project/labml) (📥 2.2K / month · 📦 6 · ⏱️ 23.11.2022):
```
pip install labml
```
lore (🥉21 · ⭐ 1.5K) - Lore makes machine learning approachable for Software Engineers and.. MIT
+Studio.ml (🥉21 · ⭐ 380) - Studio: Simplify and expedite model building process. Apache-2
-- [GitHub](https://github.com/instacart/lore) (👨💻 29 · 🔀 130 · 📦 20 · 📋 45 - 57% open · ⏱️ 27.09.2022):
+- [GitHub](https://github.com/studioml/studio) (👨💻 22 · 🔀 52 · 📦 5 · 📋 250 - 22% open · ⏱️ 09.01.2023):
```
- git clone https://github.com/instacart/lore
+ git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/lore) (📥 1.2K / month · 📦 1 · ⏱️ 02.02.2022):
+- [PyPi](https://pypi.org/project/studioml) (📥 400 / month · ⏱️ 14.09.2021):
```
- pip install lore
+ pip install studioml
```
Studio.ml (🥉21 · ⭐ 380) - Studio: Simplify and expedite model building process. Apache-2
+lore (🥉20 · ⭐ 1.5K) - Lore makes machine learning approachable for Software Engineers and.. MIT
-- [GitHub](https://github.com/studioml/studio) (👨💻 22 · 🔀 52 · 📦 5 · 📋 250 - 22% open · ⏱️ 09.01.2023):
+- [GitHub](https://github.com/instacart/lore) (👨💻 29 · 🔀 130 · 📦 20 · 📋 45 - 57% open · ⏱️ 27.09.2022):
```
- git clone https://github.com/studioml/studio
+ git clone https://github.com/instacart/lore
```
-- [PyPi](https://pypi.org/project/studioml) (📥 510 / month · ⏱️ 14.09.2021):
+- [PyPi](https://pypi.org/project/lore) (📥 820 / month · 📦 1 · ⏱️ 02.02.2022):
```
- pip install studioml
+ pip install lore
```
keepsake (🥉18 · ⭐ 1.6K · 💤) - Version control for machine learning. Apache-2
@@ -6448,7 +6463,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/replicate/keepsake
```
-- [PyPi](https://pypi.org/project/keepsake) (📥 210 / month · ⏱️ 11.03.2021):
+- [PyPi](https://pypi.org/project/keepsake) (📥 250 / month · 📦 1 · ⏱️ 11.03.2021):
```
pip install keepsake
```
@@ -6464,8 +6479,8 @@ _Libraries to organize, track, and visualize machine learning experiments._
- MXBoard (🥉20 · ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
- chitra (🥉16 · ⭐ 210 · 💤) - A multi-functional library for full-stack Deep Learning... Apache-2
+- steppy (🥉16 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT
- caliban (🥉15 · ⭐ 460 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2
-- steppy (🥉14 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT
- ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (🥉8 · ⭐ 11 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2 onnx (🥇41 · ⭐ 14K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (👨💻 270 · 🔀 3.4K · 📥 19K · 📦 14K · 📋 2.3K - 15% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/onnx/onnx) (👨💻 270 · 🔀 3.4K · 📥 19K · 📦 14K · 📋 2.3K - 15% open · ⏱️ 22.03.2023):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (📥 2.7M / month · 📦 480 · ⏱️ 12.12.2022):
+- [PyPi](https://pypi.org/project/onnx) (📥 2.9M / month · 📦 490 · ⏱️ 12.12.2022):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (📥 670K · ⏱️ 15.12.2022):
+- [Conda](https://anaconda.org/conda-forge/onnx) (📥 670K · ⏱️ 21.03.2023):
```
conda install -c conda-forge onnx
```
BentoML (🥇34 · ⭐ 4.6K) - Unified Model Serving Framework. Apache-2
+triton (🥇34 · ⭐ 5.9K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/bentoml/BentoML) (👨💻 150 · 🔀 540 · 📥 1.7K · 📦 890 · 📋 840 - 17% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/openai/triton) (👨💻 99 · 🔀 540 · 📦 540 · 📋 490 - 31% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/bentoml/BentoML
+ git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/bentoml) (📥 39K / month · 📦 8 · ⏱️ 15.02.2023):
+- [PyPi](https://pypi.org/project/triton) (📥 1.4M / month · 📦 11 · ⏱️ 04.07.2022):
```
- pip install bentoml
+ pip install triton
```
triton (🥈33 · ⭐ 5.8K) - Development repository for the Triton language and compiler. MIT
+BentoML (🥇34 · ⭐ 4.7K) - Unified Model Serving Framework. Apache-2
-- [GitHub](https://github.com/openai/triton) (👨💻 96 · 🔀 520 · 📦 390 · 📋 480 - 31% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/bentoml/BentoML) (👨💻 150 · 🔀 540 · 📥 1.7K · 📦 900 · 📋 840 - 17% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/openai/triton
+ git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/triton) (📥 760K / month · 📦 10 · ⏱️ 04.07.2022):
+- [PyPi](https://pypi.org/project/bentoml) (📥 39K / month · 📦 8 · ⏱️ 15.02.2023):
```
- pip install triton
+ pip install bentoml
```
huggingface_hub (🥈32 · ⭐ 750) - All the open source things related to the Hugging Face Hub. Apache-2
+huggingface_hub (🥈33 · ⭐ 760) - All the open source things related to the Hugging Face Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (👨💻 89 · 🔀 180 · 📋 440 - 19% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (👨💻 89 · 🔀 180 · 📋 440 - 20% open · ⏱️ 23.03.2023):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (📥 10M / month · 📦 190 · ⏱️ 25.01.2023):
+- [PyPi](https://pypi.org/project/huggingface_hub) (📥 11M / month · 📦 190 · ⏱️ 25.01.2023):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 910K · ⏱️ 13.03.2023):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 940K · ⏱️ 20.03.2023):
```
conda install -c conda-forge huggingface_hub
```
TorchServe (🥈31 · ⭐ 3.3K) - Serve, optimize and scale PyTorch models in production. Apache-2
+TorchServe (🥈32 · ⭐ 3.3K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (👨💻 150 · 🔀 690 · 📥 2.6K · 📋 1.2K - 19% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/pytorch/serve) (👨💻 150 · 🔀 700 · 📥 3K · 📋 1.2K - 20% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (📥 34K / month · 📦 11 · ⏱️ 12.12.2022):
+- [PyPi](https://pypi.org/project/torchserve) (📥 36K / month · 📦 11 · ⏱️ 12.12.2022):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (📥 68K · ⏱️ 08.02.2023):
+- [Conda](https://anaconda.org/pytorch/torchserve) (📥 69K · ⏱️ 08.02.2023):
```
conda install -c pytorch torchserve
```
@@ -6555,12 +6570,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (🥈31 · ⭐ 3.2K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (👨💻 150 · 🔀 490 · 📥 6K · 📦 2.9K · 📋 1.1K - 18% open · ⏱️ 10.03.2023):
+- [GitHub](https://github.com/apple/coremltools) (👨💻 150 · 🔀 490 · 📥 6.1K · 📦 2.9K · 📋 1.1K - 18% open · ⏱️ 21.03.2023):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (📥 100K / month · 📦 160 · ⏱️ 15.11.2022):
+- [PyPi](https://pypi.org/project/coremltools) (📥 99K / month · 📦 160 · ⏱️ 15.11.2022):
```
pip install coremltools
```
@@ -6576,23 +6591,23 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 6.5K / month · 📦 4 · ⏱️ 28.02.2023):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 6.7K / month · 📦 4 · ⏱️ 28.02.2023):
```
pip install hummingbird-ml
```
-- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 23K · ⏱️ 28.02.2023):
+- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 24K · ⏱️ 28.02.2023):
```
conda install -c conda-forge hummingbird-ml
```
nebullvm (🥈26 · ⭐ 6.7K) - Plug and play modules to optimize the performances of your AI.. Apache-2
+nebullvm (🥈27 · ⭐ 7K) - Plug and play modules to optimize the performances of your AI systems. Apache-2
-- [GitHub](https://github.com/nebuly-ai/nebullvm) (👨💻 34 · 🔀 480 · 📦 8 · 📋 160 - 50% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/nebuly-ai/nebullvm) (👨💻 35 · 🔀 520 · 📦 8 · 📋 170 - 47% open · ⏱️ 22.03.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (📥 1K / month · 📦 1 · ⏱️ 23.01.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (📥 1.1K / month · 📦 1 · ⏱️ 23.01.2023):
```
pip install nebullvm
```
@@ -6604,14 +6619,14 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/Microsoft/MMdnn
```
-- [PyPi](https://pypi.org/project/mmdnn) (📥 440 / month · 📦 3 · ⏱️ 24.07.2020):
+- [PyPi](https://pypi.org/project/mmdnn) (📥 610 / month · 📦 3 · ⏱️ 24.07.2020):
```
pip install mmdnn
```
m2cgen (🥉25 · ⭐ 2.4K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT
-- [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨💻 14 · 🔀 200 · 📥 43 · 📦 89 · 📋 100 - 30% open · ⏱️ 05.10.2022):
+- [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨💻 14 · 🔀 200 · 📥 43 · 📦 90 · 📋 100 - 30% open · ⏱️ 05.10.2022):
```
git clone https://github.com/BayesWitnesses/m2cgen
@@ -6621,6 +6636,22 @@ _Libraries to serialize models to files, convert between a variety of model form
pip install m2cgen
```
hls4ml (🥉24 · ⭐ 780) - Machine learning on FPGAs using HLS. Apache-2
+
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨💻 49 · 🔀 290 · 📋 350 - 39% open · ⏱️ 10.03.2023):
+
+ ```
+ git clone https://github.com/fastmachinelearning/hls4ml
+ ```
+- [PyPi](https://pypi.org/project/hls4ml) (📥 960 / month · ⏱️ 12.11.2021):
+ ```
+ pip install hls4ml
+ ```
+- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 5.3K · ⏱️ 12.11.2021):
+ ```
+ conda install -c conda-forge hls4ml
+ ```
+cortex (🥉23 · ⭐ 7.9K) - Production infrastructure for machine learning at scale. Apache-2
- [GitHub](https://github.com/cortexlabs/cortex) (👨💻 24 · 🔀 610 · 📋 1.1K - 10% open · ⏱️ 04.03.2023):
@@ -6628,7 +6659,7 @@ _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) (📥 1.5K / month · 📦 1 · ⏱️ 23.09.2022):
+- [PyPi](https://pypi.org/project/cortex) (📥 1.6K / month · 📦 1 · ⏱️ 23.09.2022):
```
pip install cortex
```
@@ -6640,27 +6671,11 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nok/sklearn-porter
```
-- [PyPi](https://pypi.org/project/sklearn-porter) (📥 520 / month · 📦 1 · ⏱️ 18.12.2019):
+- [PyPi](https://pypi.org/project/sklearn-porter) (📥 470 / month · 📦 1 · ⏱️ 18.12.2019):
```
pip install sklearn-porter
```
hls4ml (🥉23 · ⭐ 770) - Machine learning on FPGAs using HLS. Apache-2
-
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨💻 49 · 🔀 290 · 📋 350 - 39% open · ⏱️ 10.03.2023):
-
- ```
- git clone https://github.com/fastmachinelearning/hls4ml
- ```
-- [PyPi](https://pypi.org/project/hls4ml) (📥 640 / month · ⏱️ 12.11.2021):
- ```
- pip install hls4ml
- ```
-- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 5.2K · ⏱️ 12.11.2021):
- ```
- conda install -c conda-forge hls4ml
- ```
-Show 7 hidden projects...
- Larq Compute Engine (🥉20 · ⭐ 220) - Highly optimized inference engine for Binarized.. Apache-2
@@ -6669,7 +6684,7 @@ _Libraries to serialize models to files, convert between a variety of model form
- tfdeploy (🥉16 · ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 MIT
- backprop (🥉14 · ⭐ 230 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
-- ml-ane-transformers (🥉11 · ⭐ 610 · 💤) - Reference implementation of the Transformer.. ❗Unlicensed ❗Unlicensed
@@ -6681,7 +6696,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (🥇38 · ⭐ 19K · 💤) - A game theoretic approach to explain the output of any machine learning.. MIT
-- [GitHub](https://github.com/slundberg/shap) (👨💻 200 · 🔀 2.8K · 📦 10K · 📋 2.2K - 70% open · ⏱️ 16.06.2022):
+- [GitHub](https://github.com/slundberg/shap) (👨💻 200 · 🔀 2.8K · 📦 10K · 📋 2.2K - 71% open · ⏱️ 16.06.2022):
```
git clone https://github.com/slundberg/shap
@@ -6695,26 +6710,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge shap
```
Netron (🥇34 · ⭐ 22K) - Visualizer for neural network, deep learning, and machine.. MIT
-
-- [GitHub](https://github.com/lutzroeder/netron) (👨💻 2 · 🔀 2.4K · 📥 67K · 📦 10 · 📋 910 - 2% open · ⏱️ 16.03.2023):
-
- ```
- git clone https://github.com/lutzroeder/netron
- ```
-- [PyPi](https://pypi.org/project/netron) (📥 13K / month · 📦 70 · ⏱️ 28.01.2023):
- ```
- pip install netron
- ```
-arviz (🥇34 · ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (👨💻 140 · 🔀 320 · 📥 120 · 📦 3.7K · 📋 810 - 20% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/arviz-devs/arviz) (👨💻 140 · 🔀 320 · 📥 120 · 📦 3.7K · 📋 810 - 20% open · ⏱️ 23.03.2023):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (📥 1.1M / month · 📦 130 · ⏱️ 16.11.2022):
+- [PyPi](https://pypi.org/project/arviz) (📥 1.2M / month · 📦 130 · ⏱️ 16.11.2022):
```
pip install arviz
```
@@ -6723,32 +6726,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge arviz
```
InterpretML (🥇33 · ⭐ 5.3K) - Fit interpretable models. Explain blackbox machine learning. MIT
+Netron (🥇33 · ⭐ 22K · 📉) - Visualizer for neural network, deep learning, and machine.. MIT
-- [GitHub](https://github.com/interpretml/interpret) (👨💻 36 · 🔀 650 · 📦 370 · 📋 350 - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/lutzroeder/netron) (👨💻 2 · 🔀 2.4K · 📥 33K · 📦 10 · 📋 920 - 2% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/interpretml/interpret
+ git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/interpret) (📥 67K / month · 📦 25 · ⏱️ 18.11.2022):
+- [PyPi](https://pypi.org/project/netron) (📥 14K / month · 📦 70 · ⏱️ 28.01.2023):
```
- pip install interpret
+ pip install netron
```
Captum (🥇33 · ⭐ 3.8K) - Model interpretability and understanding for PyTorch. BSD-3
+InterpretML (🥇33 · ⭐ 5.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/pytorch/captum) (👨💻 98 · 🔀 410 · 📦 1K · 📋 460 - 33% open · ⏱️ 03.02.2023):
+- [GitHub](https://github.com/interpretml/interpret) (👨💻 36 · 🔀 650 · 📦 370 · 📋 350 - 18% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/pytorch/captum
- ```
-- [PyPi](https://pypi.org/project/captum) (📥 140K / month · 📦 42 · ⏱️ 27.12.2022):
- ```
- pip install captum
+ git clone https://github.com/interpretml/interpret
```
-- [Conda](https://anaconda.org/conda-forge/captum) (📥 6.4K · ⏱️ 15.02.2023):
+- [PyPi](https://pypi.org/project/interpret) (📥 64K / month · 📦 25 · ⏱️ 18.11.2022):
```
- conda install -c conda-forge captum
+ pip install interpret
```
pyLDAvis (🥇33 · ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3
@@ -6758,23 +6757,39 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/pyldavis) (📥 940K / month · 📦 150 · ⏱️ 24.03.2021):
+- [PyPi](https://pypi.org/project/pyldavis) (📥 910K / month · 📦 150 · ⏱️ 24.03.2021):
```
pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 61K · ⏱️ 18.02.2023):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 62K · ⏱️ 18.02.2023):
```
conda install -c conda-forge pyldavis
```
DoWhy (🥈31 · ⭐ 5.7K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
+Captum (🥇32 · ⭐ 3.8K) - Model interpretability and understanding for PyTorch. BSD-3
+
+- [GitHub](https://github.com/pytorch/captum) (👨💻 98 · 🔀 410 · 📦 1K · 📋 460 - 33% open · ⏱️ 03.02.2023):
+
+ ```
+ git clone https://github.com/pytorch/captum
+ ```
+- [PyPi](https://pypi.org/project/captum) (📥 140K / month · 📦 42 · ⏱️ 27.12.2022):
+ ```
+ pip install captum
+ ```
+- [Conda](https://anaconda.org/conda-forge/captum) (📥 6.7K · ⏱️ 15.02.2023):
+ ```
+ conda install -c conda-forge captum
+ ```
+DoWhy (🥈31 · ⭐ 5.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (👨💻 71 · 🔀 800 · 📥 31 · 📦 210 · 📋 350 - 31% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/py-why/dowhy) (👨💻 72 · 🔀 810 · 📥 32 · 📦 220 · 📋 360 - 30% open · ⏱️ 20.03.2023):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (📥 58K / month · 📦 5 · ⏱️ 17.12.2022):
+- [PyPi](https://pypi.org/project/dowhy) (📥 46K / month · 📦 5 · ⏱️ 17.12.2022):
```
pip install dowhy
```
@@ -6783,78 +6798,66 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge dowhy
```
dtreeviz (🥈31 · ⭐ 2.4K) - A python library for decision tree visualization and model interpretation. MIT
+dtreeviz (🥈31 · ⭐ 2.5K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (👨💻 22 · 🔀 300 · 📦 660 · 📋 170 - 27% open · ⏱️ 07.03.2023):
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (📥 100K / month · 📦 20 · ⏱️ 29.01.2023):
+- [PyPi](https://pypi.org/project/dtreeviz) (📥 110K / month · 📦 20 · ⏱️ 29.01.2023):
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 37K · ⏱️ 21.02.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 38K · ⏱️ 21.02.2023):
```
conda install -c conda-forge dtreeviz
```
shapash (🥈30 · ⭐ 2.1K) - Shapash makes Machine Learning models transparent and.. Apache-2
-- [GitHub](https://github.com/MAIF/shapash) (👨💻 35 · 🔀 260 · 📦 100 · 📋 150 - 15% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/MAIF/shapash) (👨💻 35 · 🔀 260 · 📦 100 · 📋 150 - 15% open · ⏱️ 16.03.2023):
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (📥 16K / month · 📦 1 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/shapash) (📥 17K / month · 📦 1 · ⏱️ 17.01.2023):
```
pip install shapash
```
evaluate (🥈30 · ⭐ 1.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (👨💻 120 · 🔀 120 · 📦 1.2K · 📋 190 - 42% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/huggingface/evaluate) (👨💻 120 · 🔀 120 · 📦 1.2K · 📋 180 - 41% open · ⏱️ 14.03.2023):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (📥 280K / month · 📦 42 · ⏱️ 13.12.2022):
+- [PyPi](https://pypi.org/project/evaluate) (📥 310K / month · 📦 46 · ⏱️ 13.12.2022):
```
pip install evaluate
```
Model Analysis (🥈30 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/model-analysis) (👨💻 53 · 🔀 260 · 📋 81 - 37% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/tensorflow/model-analysis) (👨💻 53 · 🔀 260 · 📋 81 - 37% open · ⏱️ 22.03.2023):
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 550K / month · 📦 21 · ⏱️ 09.12.2022):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 500K / month · 📦 21 · ⏱️ 09.12.2022):
```
pip install tensorflow-model-analysis
```
responsible-ai-widgets (🥈30 · ⭐ 730) - Responsible AI Toolbox is a suite of tools providing.. MIT
-
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨💻 33 · 🔀 190 · 📦 47 · 📋 290 - 23% open · ⏱️ 15.03.2023):
-
- ```
- git clone https://github.com/microsoft/responsible-ai-toolbox
- ```
-- [PyPi](https://pypi.org/project/raiwidgets) (📥 9.3K / month · 📦 3 · ⏱️ 18.01.2023):
- ```
- pip install raiwidgets
- ```
-Alibi (🥈29 · ⭐ 2K) - Algorithms for explaining machine learning models. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi) (👨💻 18 · 🔀 220 · 📦 440 · 📋 350 - 39% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/SeldonIO/alibi) (👨💻 18 · 🔀 220 · 📦 440 · 📋 350 - 39% open · ⏱️ 17.03.2023):
```
git clone https://github.com/SeldonIO/alibi
```
-- [PyPi](https://pypi.org/project/alibi) (📥 15K / month · 📦 27 · ⏱️ 11.01.2023):
+- [PyPi](https://pypi.org/project/alibi) (📥 14K / month · 📦 27 · ⏱️ 11.01.2023):
```
pip install alibi
```
@@ -6870,23 +6873,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 24K · ⏱️ 02.12.2022):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 25K · ⏱️ 02.12.2022):
```
conda install -c conda-forge fairlearn
```
responsible-ai-widgets (🥈29 · ⭐ 740) - Responsible AI Toolbox is a suite of tools providing.. MIT
+
+- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨💻 34 · 🔀 190 · 📦 48 · 📋 290 - 23% open · ⏱️ 22.03.2023):
+
+ ```
+ git clone https://github.com/microsoft/responsible-ai-toolbox
+ ```
+- [PyPi](https://pypi.org/project/raiwidgets) (📥 9.4K / month · 📦 3 · ⏱️ 18.01.2023):
+ ```
+ pip install raiwidgets
+ ```
+yellowbrick (🥈28 · ⭐ 3.9K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
-- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨💻 110 · 🔀 540 · 📋 690 - 12% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨💻 110 · 🔀 540 · 📋 690 - 12% open · ⏱️ 19.03.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (📥 870K / month · 📦 67 · ⏱️ 21.08.2022):
+- [PyPi](https://pypi.org/project/yellowbrick) (📥 860K / month · 📦 67 · ⏱️ 21.08.2022):
```
pip install yellowbrick
```
-- [Conda](https://anaconda.org/conda-forge/yellowbrick) (📥 55K · ⏱️ 22.08.2022):
+- [Conda](https://anaconda.org/conda-forge/yellowbrick) (📥 56K · ⏱️ 22.08.2022):
```
conda install -c conda-forge yellowbrick
```
@@ -6898,7 +6913,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (📥 35K / month · 📦 6 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/explainerdashboard) (📥 37K / month · 📦 6 · ⏱️ 02.01.2023):
```
pip install explainerdashboard
```
@@ -6914,7 +6929,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (📥 9.3K / month · 📦 10 · ⏱️ 03.09.2022):
+- [PyPi](https://pypi.org/project/aif360) (📥 9.4K / month · 📦 10 · ⏱️ 03.09.2022):
```
pip install aif360
```
@@ -6925,12 +6940,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
CausalNex (🥈27 · ⭐ 1.8K) - A Python library that helps data scientists to infer.. Apache-2
-- [GitHub](https://github.com/quantumblacklabs/causalnex) (👨💻 32 · 🔀 210 · 📦 84 · 📋 120 - 13% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/quantumblacklabs/causalnex) (👨💻 32 · 🔀 210 · 📦 85 · 📋 120 - 13% open · ⏱️ 08.03.2023):
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (📥 9.4K / month · 📦 2 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/causalnex) (📥 8.9K / month · 📦 2 · ⏱️ 17.01.2023):
```
pip install causalnex
```
@@ -6942,31 +6957,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (📥 700 / month · 📦 2 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/innvestigate) (📥 740 / month · 📦 2 · ⏱️ 31.01.2023):
```
pip install innvestigate
```
imodels (🥉26 · ⭐ 1.1K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/csinva/imodels) (👨💻 16 · 🔀 98 · 📦 40 · 📋 63 - 34% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/csinva/imodels) (👨💻 16 · 🔀 98 · 📦 40 · 📋 64 - 34% open · ⏱️ 20.03.2023):
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (📥 34K / month · 📦 4 · ⏱️ 03.07.2022):
+- [PyPi](https://pypi.org/project/imodels) (📥 54K / month · 📦 4 · ⏱️ 03.07.2022):
```
pip install imodels
```
checklist (🥉25 · ⭐ 1.9K · 💤) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT
-- [GitHub](https://github.com/marcotcr/checklist) (👨💻 13 · 🔀 180 · 📦 210 · 📋 100 - 22% open · ⏱️ 12.08.2022):
+- [GitHub](https://github.com/marcotcr/checklist) (👨💻 13 · 🔀 180 · 📦 210 · 📋 110 - 22% open · ⏱️ 12.08.2022):
```
git clone https://github.com/marcotcr/checklist
```
-- [PyPi](https://pypi.org/project/checklist) (📥 5K / month · 📦 6 · ⏱️ 24.05.2021):
+- [PyPi](https://pypi.org/project/checklist) (📥 5.2K / month · 📦 6 · ⏱️ 24.05.2021):
```
pip install checklist
```
@@ -6982,7 +6997,7 @@ _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) (📥 730 / month · 📦 1 · ⏱️ 02.12.2022):
+- [PyPi](https://pypi.org/project/lit-nlp) (📥 690 / month · 📦 1 · ⏱️ 02.12.2022):
```
pip install lit-nlp
```
@@ -6993,12 +7008,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Explainability 360 (🥉24 · ⭐ 1.3K) - Interpretability and explainability of data and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIX360) (👨💻 39 · 🔀 280 · 📦 70 · 📋 81 - 64% open · ⏱️ 03.11.2022):
+- [GitHub](https://github.com/Trusted-AI/AIX360) (👨💻 39 · 🔀 280 · 📦 71 · 📋 81 - 64% open · ⏱️ 03.11.2022):
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (📥 1.3K / month · 📦 1 · ⏱️ 28.10.2020):
+- [PyPi](https://pypi.org/project/aix360) (📥 1.2K / month · 📦 1 · ⏱️ 28.10.2020):
```
pip install aix360
```
@@ -7010,11 +7025,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (📥 7.4K / month · 📦 6 · ⏱️ 25.09.2022):
+- [PyPi](https://pypi.org/project/keract) (📥 7.3K / month · 📦 6 · ⏱️ 25.09.2022):
```
pip install keract
```
aequitas (🥉22 · ⭐ 530) - Bias and Fairness Audit Toolkit. MIT
+
+- [GitHub](https://github.com/dssg/aequitas) (👨💻 17 · 🔀 94 · 📦 130 · 📋 69 - 69% open · ⏱️ 12.12.2022):
+
+ ```
+ git clone https://github.com/dssg/aequitas
+ ```
+- [PyPi](https://pypi.org/project/aequitas) (📥 1.8K / month · 📦 6 · ⏱️ 16.12.2020):
+ ```
+ pip install aequitas
+ ```
+sklearn-evaluation (🥉22 · ⭐ 360 · 🐣) - Machine learning model evaluation made easy: plots,.. MIT
- [GitHub](https://github.com/edublancas/sklearn-evaluation) (👨💻 19 · 🔀 41 · ⏱️ 13.01.2023):
@@ -7022,7 +7049,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/edublancas/sklearn-evaluation
```
-- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 74K / month · 📦 5 · ⏱️ 07.03.2023):
+- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 79K / month · 📦 5 · ⏱️ 07.03.2023):
```
pip install sklearn-evaluation
```
@@ -7034,33 +7061,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/dice-ml) (📥 29K / month · 📦 4 · ⏱️ 19.10.2022):
+- [PyPi](https://pypi.org/project/dice-ml) (📥 31K / month · 📦 4 · ⏱️ 19.10.2022):
```
pip install dice-ml
```
tf-explain (🥉21 · ⭐ 970 · 💤) - Interpretability Methods for tf.keras models with Tensorflow.. MIT
+tf-explain (🥉21 · ⭐ 980 · 💤) - Interpretability Methods for tf.keras models with Tensorflow.. MIT
- [GitHub](https://github.com/sicara/tf-explain) (👨💻 18 · 🔀 110 · 📦 160 · 📋 92 - 44% open · ⏱️ 30.06.2022):
```
git clone https://github.com/sicara/tf-explain
```
-- [PyPi](https://pypi.org/project/tf-explain) (📥 2.6K / month · 📦 7 · ⏱️ 18.11.2021):
+- [PyPi](https://pypi.org/project/tf-explain) (📥 2.4K / month · 📦 7 · ⏱️ 18.11.2021):
```
pip install tf-explain
```
aequitas (🥉21 · ⭐ 530) - Bias and Fairness Audit Toolkit. MIT
+fairness-indicators (🥉19 · ⭐ 300) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
-- [GitHub](https://github.com/dssg/aequitas) (👨💻 17 · 🔀 94 · 📦 130 · 📋 69 - 69% open · ⏱️ 12.12.2022):
+- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨💻 33 · 🔀 78 · 📋 27 - 66% open · ⏱️ 07.02.2023):
```
- git clone https://github.com/dssg/aequitas
+ git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/aequitas) (📥 2.2K / month · 📦 6 · ⏱️ 16.12.2020):
+- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.1K / month · ⏱️ 13.12.2022):
```
- pip install aequitas
+ pip install fairness-indicators
```
model-card-toolkit (🥉18 · ⭐ 360) - A toolkit that streamlines and automates the generation.. Apache-2
@@ -7070,23 +7097,11 @@ _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) (📥 1.5K / month · ⏱️ 28.04.2022):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1.7K / month · ⏱️ 28.04.2022):
```
pip install model-card-toolkit
```
fairness-indicators (🥉18 · ⭐ 300) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨💻 33 · 🔀 78 · 📋 27 - 66% open · ⏱️ 07.02.2023):
-
- ```
- git clone https://github.com/tensorflow/fairness-indicators
- ```
-- [PyPi](https://pypi.org/project/fairness-indicators) (📥 950 / month · ⏱️ 13.12.2022):
- ```
- pip install fairness-indicators
- ```
-LOFO (🥉17 · ⭐ 710) - Leave One Feature Out Importance. MIT
- [GitHub](https://github.com/aerdem4/lofo-importance) (👨💻 4 · 🔀 73 · 📦 25 · 📋 22 - 18% open · ⏱️ 08.12.2022):
@@ -7094,7 +7109,7 @@ _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) (📥 1.6K / month · 📦 2 · ⏱️ 27.04.2022):
+- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.7K / month · 📦 2 · ⏱️ 27.04.2022):
```
pip install lofo-importance
```
@@ -7106,40 +7121,40 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/marcotcr/anchor
```
-- [PyPi](https://pypi.org/project/anchor_exp) (📥 1.7K / month · 📦 2 · ⏱️ 10.09.2020):
+- [PyPi](https://pypi.org/project/anchor_exp) (📥 1.8K / month · 📦 2 · ⏱️ 10.09.2020):
```
pip install anchor_exp
```
ExplainX.ai (🥉15 · ⭐ 330) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+ExplainX.ai (🥉15 · ⭐ 340) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- [GitHub](https://github.com/explainX/explainx) (👨💻 4 · 🔀 43 · 📥 9 · 📋 27 - 37% open · ⏱️ 15.09.2022):
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (📥 2.9K / month · ⏱️ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (📥 3.1K / month · ⏱️ 04.02.2021):
```
pip install explainx
```
Show 21 hidden projects...
-- Lime (🥈32 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
+- Lime (🥇32 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- Deep Checks (🥈30 · ⭐ 2.5K) - Deepchecks - Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0
- scikit-plot (🥈28 · ⭐ 2.3K · 💀) - An intuitive library to add plotting functionality to.. MIT ❗️GPL-3.0
- Lucid (🥈27 · ⭐ 4.5K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 MIT
-- keras-vis (🥉25 · ⭐ 2.9K · 💀) - Neural network visualization toolkit for keras. MIT MIT
+- keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT Apache-2
- TreeInterpreter (🥉22 · ⭐ 720 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 MIT MIT
+- Skater (🥉21 · ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0
+- deeplift (🥉21 · ⭐ 720 · 💀) - Public facing deeplift repo. MIT
- Quantus (🥉21 · ⭐ 320) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️LGPL-3.0
- ecco (🥉20 · ⭐ 1.6K · 💀) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 ❗️UPL-1.0
-- tcav (🥉19 · ⭐ 560 · 💀) - Code for the TCAV ML interpretability project. Apache-2 Apache-2 MIT
- FlashTorch (🥉16 · ⭐ 700 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT MIT Milvus (🥇38 · ⭐ 15K) - Vector database for scalable similarity search and AI applications. Apache-2
+Milvus (🥇38 · ⭐ 16K) - A cloud-native vector database with high-performance and high.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (👨💻 230 · 🔀 2K · 📥 34K · 📋 7.3K - 4% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/milvus-io/milvus) (👨💻 230 · 🔀 2K · 📥 35K · 📋 7.3K - 4% open · ⏱️ 23.03.2023):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (📥 290K / month · 📦 22 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/pymilvus) (📥 310K / month · 📦 23 · ⏱️ 15.12.2022):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 3M · ⭐ 25 · ⏱️ 16.03.2023):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 3M · ⭐ 25 · ⏱️ 23.03.2023):
```
docker pull milvusdb/milvus
```
Faiss (🥇37 · ⭐ 20K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (👨💻 130 · 🔀 2.8K · 📦 940 · 📋 2.1K - 14% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/facebookresearch/faiss) (👨💻 130 · 🔀 2.8K · 📦 950 · 📋 2.1K - 14% open · ⏱️ 23.03.2023):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (📥 290K / month · 📦 22 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/pymilvus) (📥 310K / month · 📦 23 · ⏱️ 15.12.2022):
```
pip install pymilvus
```
@@ -7205,14 +7220,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge python-annoy
```
NMSLIB (🥈30 · ⭐ 3K · 💤) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
+NMSLIB (🥈31 · ⭐ 3K · 💤) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
- [GitHub](https://github.com/nmslib/nmslib) (👨💻 48 · 🔀 410 · 📦 800 · 📋 410 - 15% open · ⏱️ 31.05.2022):
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (📥 280K / month · 📦 52 · ⏱️ 03.02.2021):
+- [PyPi](https://pypi.org/project/nmslib) (📥 270K / month · 📦 52 · ⏱️ 03.02.2021):
```
pip install nmslib
```
@@ -7223,32 +7238,32 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (🥈30 · ⭐ 2.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (👨💻 65 · 🔀 430 · 📦 410 · 📋 280 - 52% open · ⏱️ 05.02.2023):
+- [GitHub](https://github.com/nmslib/hnswlib) (👨💻 65 · 🔀 440 · 📦 420 · 📋 290 - 53% open · ⏱️ 05.02.2023):
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (📥 390K / month · 📦 32 · ⏱️ 14.02.2022):
+- [PyPi](https://pypi.org/project/hnswlib) (📥 430K / month · 📦 34 · ⏱️ 14.02.2022):
```
pip install hnswlib
```
-- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 73K · ⏱️ 07.02.2023):
+- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 74K · ⏱️ 07.02.2023):
```
conda install -c conda-forge hnswlib
```
PyNNDescent (🥉28 · ⭐ 730) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (👨💻 24 · 🔀 93 · 📦 3K · 📋 120 - 49% open · ⏱️ 24.02.2023):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (👨💻 24 · 🔀 93 · 📦 3.1K · 📋 120 - 49% open · ⏱️ 24.02.2023):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (📥 890K / month · 📦 42 · ⏱️ 31.10.2022):
+- [PyPi](https://pypi.org/project/pynndescent) (📥 870K / month · 📦 42 · ⏱️ 31.10.2022):
```
pip install pynndescent
```
-- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 1.2M · ⏱️ 01.11.2022):
+- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 1.3M · ⏱️ 01.11.2022):
```
conda install -c conda-forge pynndescent
```
@@ -7260,7 +7275,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (📥 18K / month · 📦 8 · ⏱️ 21.09.2022):
+- [PyPi](https://pypi.org/project/ngt) (📥 17K / month · 📦 8 · ⏱️ 21.09.2022):
```
pip install ngt
```
@@ -7272,7 +7287,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/pixelogik/NearPy
```
-- [PyPi](https://pypi.org/project/NearPy) (📥 1.5K / month · 📦 16 · ⏱️ 27.09.2016):
+- [PyPi](https://pypi.org/project/NearPy) (📥 1.6K / month · 📦 16 · ⏱️ 27.09.2016):
```
pip install NearPy
```
@@ -7293,7 +7308,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (🥇39 · ⭐ 7.4K) - Bayesian Modeling in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (👨💻 440 · 🔀 1.8K · 📥 1.9K · 📦 1.2K · 📋 3K - 6% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/pymc-devs/pymc) (👨💻 440 · 🔀 1.8K · 📥 1.9K · 📦 1.3K · 📋 3K - 6% open · ⏱️ 22.03.2023):
```
git clone https://github.com/pymc-devs/pymc
@@ -7309,16 +7324,16 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (🥇37 · ⭐ 3.9K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (👨💻 470 · 🔀 1.1K · 📋 1.3K - 46% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/probability) (👨💻 470 · 🔀 1.1K · 📋 1.3K - 46% open · ⏱️ 22.03.2023):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 740K / month · 📦 390 · ⏱️ 06.12.2022):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 740K / month · 📦 400 · ⏱️ 06.12.2022):
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 95K · ⏱️ 16.02.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 96K · ⏱️ 16.02.2023):
```
conda install -c conda-forge tensorflow-probability
```
@@ -7330,39 +7345,39 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (📥 410K / month · 📦 77 · ⏱️ 03.01.2023):
+- [PyPi](https://pypi.org/project/pyro-ppl) (📥 430K / month · 📦 77 · ⏱️ 03.01.2023):
```
pip install pyro-ppl
```
-- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 52K · ⏱️ 04.01.2023):
+- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 54K · ⏱️ 04.01.2023):
```
conda install -c conda-forge pyro-ppl
```
GPyTorch (🥈33 · ⭐ 3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
-- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨💻 120 · 🔀 470 · 📦 1.2K · 📋 1.2K - 26% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨💻 120 · 🔀 470 · 📦 1.2K · 📋 1.2K - 25% open · ⏱️ 16.03.2023):
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (📥 240K / month · 📦 43 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/gpytorch) (📥 250K / month · 📦 43 · ⏱️ 04.01.2023):
```
pip install gpytorch
```
-- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 81K · ⏱️ 06.01.2023):
+- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 82K · ⏱️ 06.01.2023):
```
conda install -c conda-forge gpytorch
```
pgmpy (🥈32 · ⭐ 2.3K) - Python Library for learning (Structure and Parameter), inference.. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (👨💻 110 · 🔀 660 · 📥 200 · 📦 560 · 📋 830 - 28% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/pgmpy/pgmpy) (👨💻 110 · 🔀 660 · 📥 210 · 📦 570 · 📋 830 - 28% open · ⏱️ 12.03.2023):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (📥 68K / month · 📦 11 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/pgmpy) (📥 66K / month · 📦 11 · ⏱️ 02.01.2023):
```
pip install pgmpy
```
@@ -7385,12 +7400,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
hmmlearn (🥈31 · ⭐ 2.7K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
-- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨💻 42 · 🔀 720 · 📦 1.7K · 📋 400 - 12% open · ⏱️ 27.02.2023):
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨💻 43 · 🔀 720 · 📦 1.7K · 📋 410 - 12% open · ⏱️ 20.03.2023):
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (📥 140K / month · 📦 130 · ⏱️ 26.09.2022):
+- [PyPi](https://pypi.org/project/hmmlearn) (📥 150K / month · 📦 130 · ⏱️ 26.09.2022):
```
pip install hmmlearn
```
@@ -7406,18 +7421,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (📥 54K / month · 📦 33 · ⏱️ 27.01.2023):
+- [PyPi](https://pypi.org/project/gpflow) (📥 56K / month · 📦 33 · ⏱️ 27.01.2023):
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 19K · ⏱️ 24.05.2022):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 20K · ⏱️ 24.05.2022):
```
conda install -c conda-forge gpflow
```
SALib (🥈31 · ⭐ 690) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
+SALib (🥈31 · ⭐ 700) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
-- [GitHub](https://github.com/SALib/SALib) (👨💻 39 · 🔀 210 · 📦 680 · 📋 300 - 14% open · ⏱️ 10.01.2023):
+- [GitHub](https://github.com/SALib/SALib) (👨💻 39 · 🔀 210 · 📦 680 · 📋 300 - 14% open · ⏱️ 21.03.2023):
```
git clone https://github.com/SALib/SALib
@@ -7438,11 +7453,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/twopirllc/pandas-ta
```
-- [PyPi](https://pypi.org/project/pandas-ta) (📥 85K / month · 📦 19 · ⏱️ 28.07.2021):
+- [PyPi](https://pypi.org/project/pandas-ta) (📥 84K / month · 📦 19 · ⏱️ 28.07.2021):
```
pip install pandas-ta
```
-- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 9.6K · ⏱️ 05.10.2021):
+- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 11K · ⏱️ 05.10.2021):
```
conda install -c conda-forge pandas-ta
```
@@ -7454,7 +7469,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/rlabbe/filterpy
```
-- [PyPi](https://pypi.org/project/filterpy) (📥 2.3M / month · 📦 130 · ⏱️ 10.10.2018):
+- [PyPi](https://pypi.org/project/filterpy) (📥 2.5M / month · 📦 130 · ⏱️ 10.10.2018):
```
pip install filterpy
```
@@ -7465,28 +7480,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
patsy (🥉30 · ⭐ 870) - Describing statistical models in Python using symbolic formulas. BSD-2
-- [GitHub](https://github.com/pydata/patsy) (👨💻 17 · 🔀 100 · 📦 67K · 📋 140 - 48% open · ⏱️ 09.10.2022):
+- [GitHub](https://github.com/pydata/patsy) (👨💻 17 · 🔀 100 · 📦 68K · 📋 140 - 48% open · ⏱️ 09.10.2022):
```
git clone https://github.com/pydata/patsy
```
-- [PyPi](https://pypi.org/project/patsy) (📥 7.8M / month · 📦 2.7K · ⏱️ 09.10.2022):
+- [PyPi](https://pypi.org/project/patsy) (📥 7.9M / month · 📦 2.7K · ⏱️ 09.10.2022):
```
pip install patsy
```
-- [Conda](https://anaconda.org/conda-forge/patsy) (📥 7.4M · ⏱️ 09.10.2022):
+- [Conda](https://anaconda.org/conda-forge/patsy) (📥 7.5M · ⏱️ 09.10.2022):
```
conda install -c conda-forge patsy
```
pomegranate (🥉29 · ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/jmschrei/pomegranate) (👨💻 66 · 🔀 560 · 📦 880 · 📋 700 - 12% open · ⏱️ 29.11.2022):
+- [GitHub](https://github.com/jmschrei/pomegranate) (👨💻 66 · 🔀 560 · 📦 890 · 📋 700 - 12% open · ⏱️ 29.11.2022):
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (📥 42K / month · 📦 46 · ⏱️ 21.02.2022):
+- [PyPi](https://pypi.org/project/pomegranate) (📥 41K / month · 📦 53 · ⏱️ 21.02.2022):
```
pip install pomegranate
```
@@ -7497,7 +7512,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (🥉26 · ⭐ 1.6K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (👨💻 18 · 🔀 120 · 📦 19 · 📋 380 - 14% open · ⏱️ 29.01.2023):
+- [GitHub](https://github.com/uber/orbit) (👨💻 18 · 🔀 120 · 📦 20 · 📋 380 - 14% open · ⏱️ 29.01.2023):
```
git clone https://github.com/uber/orbit
@@ -7509,12 +7524,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (🥉26 · ⭐ 880) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (👨💻 28 · 🔀 97 · 📦 59 · 📋 320 - 19% open · ⏱️ 01.03.2023):
+- [GitHub](https://github.com/bambinos/bambi) (👨💻 28 · 🔀 97 · 📦 59 · 📋 330 - 20% open · ⏱️ 22.03.2023):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (📥 4.3K / month · 📦 4 · ⏱️ 21.12.2022):
+- [PyPi](https://pypi.org/project/bambi) (📥 3.6K / month · 📦 4 · ⏱️ 21.12.2022):
```
pip install bambi
```
@@ -7525,7 +7540,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Baal (🥉22 · ⭐ 720) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
-- [GitHub](https://github.com/baal-org/baal) (👨💻 19 · 🔀 70 · 📦 48 · 📋 94 - 25% open · ⏱️ 25.02.2023):
+- [GitHub](https://github.com/baal-org/baal) (👨💻 19 · 🔀 70 · 📦 48 · 📋 95 - 23% open · ⏱️ 25.02.2023):
```
git clone https://github.com/baal-org/baal
@@ -7534,17 +7549,17 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install baal
```
-- [Conda](https://anaconda.org/conda-forge/baal) (📥 4.7K · ⏱️ 31.10.2022):
+- [Conda](https://anaconda.org/conda-forge/baal) (📥 4.8K · ⏱️ 31.10.2022):
```
conda install -c conda-forge baal
```
Show 7 hidden projects...
-- Edward (🥉28 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 ❗️GPL-3.0
+- pingouin (🥈31 · ⭐ 1.3K · 📈) - Statistical package in Python based on Pandas. ❗️GPL-3.0
+- Edward (🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 ISC
-- scikit-posthocs (🥉22 · ⭐ 270 · 📈) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT MIT MIT
- Funsor (🥉20 · ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 MIT ART (🥇33 · ⭐ 3.5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (🥇34 · ⭐ 3.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨💻 120 · 🔀 950 · 📦 330 · 📋 780 - 13% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨💻 120 · 🔀 960 · 📦 330 · 📋 780 - 12% open · ⏱️ 17.03.2023):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
-- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 43K / month · 📦 9 · ⏱️ 16.02.2023):
+- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 39K / month · 📦 9 · ⏱️ 16.02.2023):
```
pip install adversarial-robustness-toolbox
```
-- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 22K · ⏱️ 16.02.2023):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 22K · ⏱️ 17.03.2023):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
CleverHans (🥈29 · ⭐ 5.7K) - An adversarial example library for constructing attacks,.. MIT
+CleverHans (🥈29 · ⭐ 5.8K) - An adversarial example library for constructing attacks,.. MIT
- [GitHub](https://github.com/cleverhans-lab/cleverhans) (👨💻 130 · 🔀 1.4K · 📦 430 · 📋 460 - 8% open · ⏱️ 31.01.2023):
@@ -7584,41 +7599,41 @@ _Libraries for testing the robustness of machine learning models against attacks
```
pip install cleverhans
```
-- [Conda](https://anaconda.org/conda-forge/cleverhans) (📥 5.4K · ⏱️ 29.07.2021):
+- [Conda](https://anaconda.org/conda-forge/cleverhans) (📥 5.5K · ⏱️ 29.07.2021):
```
conda install -c conda-forge cleverhans
```
Foolbox (🥈27 · ⭐ 2.4K · 💤) - A Python toolbox to create adversarial examples that fool neural.. MIT
+TextAttack (🥈28 · ⭐ 2.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
-- [GitHub](https://github.com/bethgelab/foolbox) (👨💻 32 · 🔀 410 · 📦 460 · 📋 360 - 8% open · ⏱️ 25.05.2022):
+- [GitHub](https://github.com/QData/TextAttack) (👨💻 58 · 🔀 300 · 📦 150 · 📋 240 - 11% open · ⏱️ 21.12.2022):
```
- git clone https://github.com/bethgelab/foolbox
+ git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/foolbox) (📥 2.3K / month · 📦 13 · ⏱️ 02.04.2022):
+- [PyPi](https://pypi.org/project/textattack) (📥 7.6K / month · 📦 7 · ⏱️ 02.11.2022):
```
- pip install foolbox
+ pip install textattack
```
-- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 9.6K · ⏱️ 30.04.2021):
+- [Conda](https://anaconda.org/conda-forge/textattack) (📥 5.2K · ⏱️ 29.06.2021):
```
- conda install -c conda-forge foolbox
+ conda install -c conda-forge textattack
```
TextAttack (🥈27 · ⭐ 2.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
+Foolbox (🥈27 · ⭐ 2.4K · 💤) - A Python toolbox to create adversarial examples that fool neural.. MIT
-- [GitHub](https://github.com/QData/TextAttack) (👨💻 58 · 🔀 300 · 📦 150 · 📋 230 - 10% open · ⏱️ 21.12.2022):
+- [GitHub](https://github.com/bethgelab/foolbox) (👨💻 32 · 🔀 410 · 📦 460 · 📋 360 - 8% open · ⏱️ 25.05.2022):
```
- git clone https://github.com/QData/TextAttack
+ git clone https://github.com/bethgelab/foolbox
```
-- [PyPi](https://pypi.org/project/textattack) (📥 6.7K / month · 📦 7 · ⏱️ 02.11.2022):
+- [PyPi](https://pypi.org/project/foolbox) (📥 2.4K / month · 📦 13 · ⏱️ 02.04.2022):
```
- pip install textattack
+ pip install foolbox
```
-- [Conda](https://anaconda.org/conda-forge/textattack) (📥 5.1K · ⏱️ 29.06.2021):
+- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 9.7K · ⏱️ 30.04.2021):
```
- conda install -c conda-forge textattack
+ conda install -c conda-forge foolbox
```
AdvBox (🥉19 · ⭐ 1.3K · 💤) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
@@ -7628,7 +7643,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/advboxes/AdvBox
```
-- [PyPi](https://pypi.org/project/advbox) (📥 35 / month · ⏱️ 05.12.2018):
+- [PyPi](https://pypi.org/project/advbox) (📥 28 / month · ⏱️ 05.12.2018):
```
pip install advbox
```
@@ -7648,29 +7663,9 @@ _Libraries for testing the robustness of machine learning models against attacks
_Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._
-CuPy (🥇38 · ⭐ 6.8K) - NumPy & SciPy for GPU. MIT
-
-- [GitHub](https://github.com/cupy/cupy) (👨💻 330 · 🔀 670 · 📥 66K · 📦 1.5K · 📋 2K - 24% open · ⏱️ 11.03.2023):
-
- ```
- git clone https://github.com/cupy/cupy
- ```
-- [PyPi](https://pypi.org/project/cupy) (📥 22K / month · 📦 180 · ⏱️ 19.01.2023):
- ```
- pip install cupy
- ```
-- [Conda](https://anaconda.org/conda-forge/cupy) (📥 2.4M · ⏱️ 03.03.2023):
- ```
- conda install -c conda-forge cupy
- ```
-- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 56K · ⭐ 10 · ⏱️ 02.03.2023):
- ```
- docker pull cupy/cupy
- ```
-cuDF (🥇31 · ⭐ 5.4K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (👨💻 260 · 🔀 680 · 📋 5.3K - 15% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/rapidsai/cudf) (👨💻 260 · 🔀 680 · 📋 5.3K - 15% open · ⏱️ 23.03.2023):
```
git clone https://github.com/rapidsai/cudf
@@ -7687,7 +7682,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (📥 41K / month · 📦 200 · ⏱️ 21.12.2022):
+- [PyPi](https://pypi.org/project/pycuda) (📥 42K / month · 📦 200 · ⏱️ 21.12.2022):
```
pip install pycuda
```
@@ -7696,61 +7691,61 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
conda install -c conda-forge pycuda
```
Apex (🥈30 · ⭐ 7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
+
+- [GitHub](https://github.com/NVIDIA/apex) (👨💻 110 · 🔀 1.2K · 📦 1.5K · 📋 1.1K - 56% open · ⏱️ 23.03.2023):
+
+ ```
+ git clone https://github.com/NVIDIA/apex
+ ```
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 130K · ⏱️ 28.02.2023):
+ ```
+ conda install -c conda-forge nvidia-apex
+ ```
+ArrayFire (🥈30 · ⭐ 4.1K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (👨💻 88 · 🔀 500 · 📥 3.5K · 📋 1.6K - 16% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/arrayfire/arrayfire) (👨💻 88 · 🔀 500 · 📥 3.5K · 📋 1.6K - 16% open · ⏱️ 17.03.2023):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (📥 1.3K / month · 📦 5 · ⏱️ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (📥 1.3K / month · 📦 8 · ⏱️ 22.02.2022):
```
pip install arrayfire
```
cuML (🥈30 · ⭐ 3.2K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (👨💻 160 · 🔀 440 · 📦 1 · 📋 2.2K - 32% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/rapidsai/cuml) (👨💻 160 · 🔀 450 · 📦 1 · 📋 2.2K - 32% open · ⏱️ 20.03.2023):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (📥 1.6K / month · 📦 5 · ⏱️ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (📥 1.7K / month · 📦 5 · ⏱️ 01.06.2020):
```
pip install cuml
```
optimum (🥈30 · ⭐ 980) - Accelerate training and inference of Transformers with easy to use.. Apache-2
+optimum (🥈30 · ⭐ 990) - Accelerate training and inference of Transformers with easy to use.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (👨💻 56 · 🔀 150 · 📦 100 · 📋 300 - 41% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/huggingface/optimum) (👨💻 57 · 🔀 150 · 📦 100 · 📋 310 - 40% open · ⏱️ 22.03.2023):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (📥 72K / month · 📦 9 · ⏱️ 25.01.2023):
+- [PyPi](https://pypi.org/project/optimum) (📥 77K / month · 📦 9 · ⏱️ 25.01.2023):
```
pip install optimum
```
-- [Conda](https://anaconda.org/conda-forge/optimum) (📥 5.9K · ⏱️ 12.07.2022):
+- [Conda](https://anaconda.org/conda-forge/optimum) (📥 6.1K · ⏱️ 12.07.2022):
```
conda install -c conda-forge optimum
```
Apex (🥈29 · ⭐ 7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-
-- [GitHub](https://github.com/NVIDIA/apex) (👨💻 110 · 🔀 1.2K · 📦 1.5K · 📋 1.1K - 56% open · ⏱️ 13.03.2023):
-
- ```
- git clone https://github.com/NVIDIA/apex
- ```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 130K · ⏱️ 28.02.2023):
- ```
- conda install -c conda-forge nvidia-apex
- ```
-gpustat (🥈28 · ⭐ 3.3K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (👨💻 17 · 🔀 250 · 📦 3.1K · 📋 100 - 20% open · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/wookayin/gpustat) (👨💻 17 · 🔀 250 · 📦 3.1K · 📋 110 - 20% open · ⏱️ 05.03.2023):
```
git clone https://github.com/wookayin/gpustat
@@ -7759,14 +7754,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
pip install gpustat
```
-- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 180K · ⏱️ 11.10.2022):
+- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 190K · ⏱️ 11.10.2022):
```
conda install -c conda-forge gpustat
```
cuGraph (🥉26 · ⭐ 1.2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
+cuGraph (🥈26 · ⭐ 1.2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (👨💻 94 · 🔀 230 · 📦 2 · 📋 1.3K - 21% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/rapidsai/cugraph) (👨💻 94 · 🔀 230 · 📦 2 · 📋 1.4K - 21% open · ⏱️ 22.03.2023):
```
git clone https://github.com/rapidsai/cugraph
@@ -7780,9 +7775,29 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
conda install -c conda-forge libcugraph
```
CuPy (🥉25 · ⭐ 6.7K · 📉) - NumPy & SciPy for GPU. MIT
+
+- [GitHub](https://github.com/cupy/cupy) (👨💻 260 · 🔀 670):
+
+ ```
+ git clone https://github.com/cupy/cupy
+ ```
+- [PyPi](https://pypi.org/project/cupy) (📥 23K / month · 📦 180 · ⏱️ 19.01.2023):
+ ```
+ pip install cupy
+ ```
+- [Conda](https://anaconda.org/conda-forge/cupy) (📥 2.4M · ⏱️ 03.03.2023):
+ ```
+ conda install -c conda-forge cupy
+ ```
+- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 56K · ⭐ 10 · ⏱️ 02.03.2023):
+ ```
+ docker pull cupy/cupy
+ ```
+DALI (🥉25 · ⭐ 4.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (👨💻 81 · 🔀 560 · 📋 1.4K - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/NVIDIA/DALI) (👨💻 81 · 🔀 560 · 📋 1.4K - 18% open · ⏱️ 23.03.2023):
```
git clone https://github.com/NVIDIA/DALI
@@ -7795,31 +7810,31 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/lebedov/scikit-cuda
```
-- [PyPi](https://pypi.org/project/scikit-cuda) (📥 890 / month · 📦 44 · ⏱️ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (📥 940 / month · 📦 44 · ⏱️ 27.05.2019):
```
pip install scikit-cuda
```
Merlin (🥉24 · ⭐ 480) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
+Merlin (🥉24 · ⭐ 490) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
-- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨💻 27 · 🔀 73 · 📋 350 - 47% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨💻 29 · 🔀 73 · 📋 350 - 46% open · ⏱️ 22.03.2023):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (📥 14K / month · 📦 1 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (📥 16K / month · 📦 1 · ⏱️ 02.01.2023):
```
pip install merlin-core
```
Vulkan Kompute (🥉21 · ⭐ 1.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (👨💻 21 · 🔀 75 · 📥 230 · 📦 6 · 📋 190 - 32% open · ⏱️ 03.12.2022):
+- [GitHub](https://github.com/KomputeProject/kompute) (👨💻 21 · 🔀 75 · 📥 260 · 📦 6 · 📋 190 - 33% open · ⏱️ 03.12.2022):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (📥 140 / month · ⏱️ 13.04.2022):
+- [PyPi](https://pypi.org/project/kp) (📥 120 / month · ⏱️ 13.04.2022):
```
pip install kp
```
@@ -7834,11 +7849,11 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 6 hidden projects...
-- GPUtil (🥉22 · ⭐ 950 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
+- GPUtil (🥉22 · ⭐ 960 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
- BlazingSQL (🥉21 · ⭐ 1.8K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- py3nvml (🥉21 · ⭐ 220 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
-- nvidia-ml-py3 (🥉19 · ⭐ 97 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
-- SpeedTorch (🥉16 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT BSD-3
+- SpeedTorch (🥉15 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT Apache-2
@@ -7849,36 +7864,36 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
_Libraries that extend TensorFlow with additional capabilities._
-TensorFlow Datasets (🥇37 · ⭐ 3.8K) - TFDS is a collection of datasets ready to use with.. Apache-2
+tensorflow-hub (🥇37 · ⭐ 3.3K) - A library for transfer learning by reusing parts of.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (👨💻 280 · 🔀 1.4K · 📋 1.3K - 50% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/hub) (👨💻 100 · 🔀 1.7K · 📦 16K · 📋 670 - 0% open · ⏱️ 16.03.2023):
```
- git clone https://github.com/tensorflow/datasets
+ git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.2M / month · 📦 200 · ⏱️ 17.01.2023):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 4.5M / month · 📦 330 · ⏱️ 14.04.2021):
```
- pip install tensorflow-datasets
+ pip install tensorflow-hub
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 15K · ⏱️ 27.02.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 77K · ⏱️ 15.03.2023):
```
- conda install -c conda-forge tensorflow-datasets
+ conda install -c conda-forge tensorflow-hub
```
tensorflow-hub (🥇37 · ⭐ 3.3K) - A library for transfer learning by reusing parts of.. Apache-2
+TensorFlow Datasets (🥇36 · ⭐ 3.8K · 📉) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/hub) (👨💻 100 · 🔀 1.7K · 📦 16K · 📋 670 - 0% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/datasets) (👨💻 280 · 🔀 1.4K · 📋 1.3K - 50% open · ⏱️ 22.03.2023):
```
- git clone https://github.com/tensorflow/hub
+ git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 4.4M / month · 📦 330 · ⏱️ 14.04.2021):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.2M / month · 📦 200 · ⏱️ 17.01.2023):
```
- pip install tensorflow-hub
+ pip install tensorflow-datasets
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 77K · ⏱️ 15.03.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 15K · ⏱️ 27.02.2023):
```
- conda install -c conda-forge tensorflow-hub
+ conda install -c conda-forge tensorflow-datasets
```
TF Addons (🥈35 · ⭐ 1.6K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
@@ -7893,7 +7908,7 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install tensorflow-addons
```
tensor2tensor (🥈34 · ⭐ 13K) - Library of deep learning models and datasets designed to.. Apache-2
+tensor2tensor (🥈33 · ⭐ 13K · 📉) - Library of deep learning models and datasets designed.. Apache-2
- [GitHub](https://github.com/tensorflow/tensor2tensor) (👨💻 240 · 🔀 3.2K · 📦 1.3K · 📋 1.3K - 46% open · ⏱️ 17.02.2023):
@@ -7919,24 +7934,24 @@ _Libraries that extend TensorFlow with additional capabilities._
TFX (🥈32 · ⭐ 1.9K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (👨💻 170 · 🔀 630 · 📋 900 - 22% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/tfx) (👨💻 170 · 🔀 630 · 📋 900 - 22% open · ⏱️ 23.03.2023):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (📥 400K / month · 📦 13 · ⏱️ 19.12.2022):
+- [PyPi](https://pypi.org/project/tfx) (📥 360K / month · 📦 13 · ⏱️ 19.12.2022):
```
pip install tfx
```
TF Model Optimization (🥈30 · ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-optimization) (👨💻 77 · 🔀 310 · 📦 2.6K · 📋 340 - 54% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/tensorflow/model-optimization) (👨💻 78 · 🔀 310 · 📦 2.6K · 📋 340 - 54% open · ⏱️ 22.03.2023):
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 230K / month · 📦 29 · ⏱️ 21.07.2022):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 250K / month · 📦 30 · ⏱️ 21.07.2022):
```
pip install tensorflow-model-optimization
```
@@ -7948,31 +7963,31 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (📥 1.4M / month · 📦 32 · ⏱️ 21.01.2023):
+- [PyPi](https://pypi.org/project/tensorflow-io) (📥 1.5M / month · 📦 32 · ⏱️ 21.01.2023):
```
pip install tensorflow-io
```
Neural Structured Learning (🥉27 · ⭐ 960) - Training neural models with structured signals. Apache-2
+Neural Structured Learning (🥉26 · ⭐ 960) - Training neural models with structured signals. Apache-2
- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨💻 37 · 🔀 190 · 📦 310 · 📋 68 - 1% open · ⏱️ 07.03.2023):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 20K / month · 📦 3 · ⏱️ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 21K / month · 📦 3 · ⏱️ 29.07.2022):
```
pip install neural-structured-learning
```
TensorFlow Cloud (🥉25 · ⭐ 340) - The TensorFlow Cloud repository provides APIs that.. Apache-2
+TensorFlow Cloud (🥉26 · ⭐ 340) - The TensorFlow Cloud repository provides APIs that.. Apache-2
- [GitHub](https://github.com/tensorflow/cloud) (👨💻 27 · 🔀 76 · 📦 220 · 📋 87 - 68% open · ⏱️ 22.12.2022):
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 96K / month · 📦 1 · ⏱️ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 94K / month · 📦 1 · ⏱️ 17.06.2021):
```
pip install tensorflow-cloud
```
@@ -7984,7 +7999,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/PAIR-code/saliency
```
-- [PyPi](https://pypi.org/project/saliency) (📥 4.2K / month · 📦 3 · ⏱️ 14.06.2022):
+- [PyPi](https://pypi.org/project/saliency) (📥 3.9K / month · 📦 3 · ⏱️ 14.06.2022):
```
pip install saliency
```
@@ -7996,7 +8011,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 6K / month · 📦 2 · ⏱️ 23.11.2022):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 5.5K / month · 📦 2 · ⏱️ 23.11.2022):
```
pip install tensorflow-compression
```
@@ -8005,7 +8020,7 @@ _Libraries that extend TensorFlow with additional capabilities._
- Keras-Preprocessing (🥉29 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT Apache-2 MIT MIT MIT
@@ -8016,9 +8031,9 @@ _Libraries that extend TensorFlow with additional capabilities._
_Libraries that extend Jax with additional capabilities._
-equinox (🥇25 · ⭐ 1K) - Elegant easy-to-use neural networks in JAX... Apache-2
+equinox (🥇25 · ⭐ 1.1K) - Elegant easy-to-use neural networks in JAX... Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (👨💻 20 · 🔀 58 · 📦 100 · 📋 150 - 21% open · ⏱️ 12.03.2023):
+- [GitHub](https://github.com/patrick-kidger/equinox) (👨💻 20 · 🔀 60 · 📦 110 · 📋 150 - 24% open · ⏱️ 22.03.2023):
```
git clone https://github.com/patrick-kidger/equinox
@@ -8030,12 +8045,12 @@ _Libraries that extend Jax with additional capabilities._
evojax (🥉21 · ⭐ 640) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (👨💻 13 · 🔀 51 · 📦 3 · 📋 25 - 40% open · ⏱️ 20.02.2023):
+- [GitHub](https://github.com/google/evojax) (👨💻 13 · 🔀 51 · 📦 3 · 📋 26 - 38% open · ⏱️ 20.02.2023):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (📥 750 / month · 📦 1 · ⏱️ 05.10.2022):
+- [PyPi](https://pypi.org/project/evojax) (📥 780 / month · 📦 1 · ⏱️ 05.10.2022):
```
pip install evojax
```
@@ -8046,7 +8061,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects...
-- jaxdf (🥉13 · ⭐ 68) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0 ❗️LGPL-3.0
@@ -8063,7 +8078,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (📥 1.1M / month · 📦 140 · ⏱️ 14.01.2023):
+- [PyPi](https://pypi.org/project/category_encoders) (📥 1.2M / month · 📦 140 · ⏱️ 14.01.2023):
```
pip install category_encoders
```
@@ -8079,7 +8094,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 3.1M / month · 📦 300 · ⏱️ 28.12.2022):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 3M / month · 📦 300 · ⏱️ 28.12.2022):
```
pip install imbalanced-learn
```
@@ -8090,12 +8105,12 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (🥈33 · ⭐ 4.3K) - A library of extension and helper modules for Pythons data.. BSD-3
-- [GitHub](https://github.com/rasbt/mlxtend) (👨💻 93 · 🔀 810 · 📦 8.4K · 📋 460 - 28% open · ⏱️ 26.02.2023):
+- [GitHub](https://github.com/rasbt/mlxtend) (👨💻 93 · 🔀 810 · 📦 8.5K · 📋 460 - 28% open · ⏱️ 26.02.2023):
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (📥 1.3M / month · 📦 170 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/mlxtend) (📥 1.2M / month · 📦 170 · ⏱️ 20.09.2022):
```
pip install mlxtend
```
@@ -8104,14 +8119,14 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge mlxtend
```
scikit-learn-intelex (🥈32 · ⭐ 910) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
+scikit-learn-intelex (🥈32 · ⭐ 920) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
-- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨💻 67 · 🔀 150 · 📦 5.1K · 📋 200 - 38% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨💻 68 · 🔀 150 · 📦 5.2K · 📋 200 - 38% open · ⏱️ 23.03.2023):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 140K / month · 📦 13 · ⏱️ 23.01.2023):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 170K / month · 📦 13 · ⏱️ 23.01.2023):
```
pip install scikit-learn-intelex
```
@@ -8120,42 +8135,42 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge scikit-learn-intelex
```
scikit-multilearn (🥈30 · ⭐ 820 · 📈) - A scikit-learn based module for multi-label et. al... BSD-2
+scikit-multilearn (🥈30 · ⭐ 820) - A scikit-learn based module for multi-label et. al... BSD-2
-- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨💻 28 · 🔀 160 · 📦 1K · 📋 210 - 41% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨💻 28 · 🔀 160 · 📦 1K · 📋 210 - 41% open · ⏱️ 22.03.2023):
```
git clone https://github.com/scikit-multilearn/scikit-multilearn
```
-- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 89K / month · 📦 18 · ⏱️ 10.12.2018):
+- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 85K / month · 📦 21 · ⏱️ 10.12.2018):
```
pip install scikit-multilearn
```
scikit-lego (🥉25 · ⭐ 980) - Extra blocks for scikit-learn pipelines. MIT
+scikit-lego (🥉25 · ⭐ 990) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (👨💻 57 · 🔀 100 · 📦 82 · 📋 260 - 9% open · ⏱️ 04.03.2023):
+- [GitHub](https://github.com/koaning/scikit-lego) (👨💻 57 · 🔀 100 · 📦 83 · 📋 260 - 9% open · ⏱️ 04.03.2023):
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (📥 26K / month · 📦 7 · ⏱️ 02.11.2022):
+- [PyPi](https://pypi.org/project/scikit-lego) (📥 30K / month · 📦 7 · ⏱️ 02.11.2022):
```
pip install scikit-lego
```
-- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 34K · ⏱️ 03.11.2022):
+- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 35K · ⏱️ 03.11.2022):
```
conda install -c conda-forge scikit-lego
```
scikit-opt (🥉23 · ⭐ 3.9K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (👨💻 17 · 🔀 850 · 📦 100 · 📋 160 - 33% open · ⏱️ 19.02.2023):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (👨💻 17 · 🔀 860 · 📦 100 · 📋 160 - 33% open · ⏱️ 19.02.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (📥 2.6K / month · 📦 6 · ⏱️ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (📥 2.9K / month · 📦 8 · ⏱️ 14.01.2022):
```
pip install scikit-opt
```
@@ -8167,7 +8182,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (📥 72K / month · 📦 10 · ⏱️ 03.10.2021):
+- [PyPi](https://pypi.org/project/iterative-stratification) (📥 64K / month · 📦 10 · ⏱️ 03.10.2021):
```
pip install iterative-stratification
```
@@ -8179,44 +8194,44 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/yzhao062/combo
```
-- [PyPi](https://pypi.org/project/combo) (📥 46K / month · 📦 4 · ⏱️ 02.04.2022):
+- [PyPi](https://pypi.org/project/combo) (📥 48K / month · 📦 4 · ⏱️ 02.04.2022):
```
pip install combo
```
DESlib (🥉19 · ⭐ 430) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (🥉19 · ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨💻 15 · 🔀 73 · 📦 36 · 📋 150 - 9% open · ⏱️ 27.02.2023):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (📥 6.9K / month · 📦 2 · ⏱️ 08.02.2021):
+- [PyPi](https://pypi.org/project/deslib) (📥 1.6K / month · 📦 2 · ⏱️ 08.02.2021):
```
pip install deslib
```
scikit-tda (🥉17 · ⭐ 380 · 💤) - Topological Data Analysis for Python. MIT
+scikit-tda (🥉18 · ⭐ 380 · 💤) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨💻 4 · 🔀 47 · 📦 42 · 📋 19 - 78% open · ⏱️ 13.03.2022):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨💻 4 · 🔀 47 · 📦 43 · 📋 19 - 78% open · ⏱️ 13.03.2022):
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (📥 4.8K / month · ⏱️ 03.08.2021):
+- [PyPi](https://pypi.org/project/scikit-tda) (📥 4.4K / month · ⏱️ 03.08.2021):
```
pip install scikit-tda
```
Show 8 hidden projects...
-- scikit-survival (🥈29 · ⭐ 900) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 ❗️GPL-3.0 Apache-2 MIT BSD-3 ❗️BSD-1-Clause MIT BSD-3 MIT BSD-3
@@ -8227,18 +8242,18 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (🥇34 · ⭐ 3.9K) - A simple way to train and use PyTorch models with multi-.. Apache-2
+accelerate (🥇35 · ⭐ 4K) - A simple way to train and use PyTorch models with multi-GPU,.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (👨💻 100 · 🔀 360 · 📦 3.7K · 📋 580 - 11% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/huggingface/accelerate) (👨💻 110 · 🔀 370 · 📦 3.8K · 📋 600 - 12% open · ⏱️ 23.03.2023):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (📥 2.9M / month · 📦 97 · ⏱️ 31.01.2023):
+- [PyPi](https://pypi.org/project/accelerate) (📥 3.1M / month · 📦 100 · ⏱️ 31.01.2023):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 22K · ⏱️ 11.03.2023):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 23K · ⏱️ 18.03.2023):
```
conda install -c conda-forge accelerate
```
@@ -8250,7 +8265,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 170K / month · 📦 17 · ⏱️ 29.01.2023):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 190K / month · 📦 17 · ⏱️ 29.01.2023):
```
pip install pytorch-metric-learning
```
@@ -8261,12 +8276,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (🥇30 · ⭐ 4.5K) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨💻 21 · 🔀 820 · 📦 970 · 📋 190 - 26% open · ⏱️ 19.02.2023):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨💻 21 · 🔀 820 · 📦 1K · 📋 190 - 26% open · ⏱️ 19.02.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1.6M / month · 📦 33 · ⏱️ 22.04.2022):
+- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1.7M / month · 📦 33 · ⏱️ 22.04.2022):
```
pip install torchdiffeq
```
@@ -8277,84 +8292,84 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (🥈29 · ⭐ 11K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/geohot/tinygrad) (👨💻 97 · 🔀 970 · 📦 10 · 📋 190 - 17% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/geohot/tinygrad) (👨💻 98 · 🔀 980 · 📦 10 · 📋 200 - 15% open · ⏱️ 23.03.2023):
```
git clone https://github.com/geohot/tinygrad
```
lightning-flash (🥈28 · ⭐ 1.6K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
+lightning-flash (🥈28 · ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
- [GitHub](https://github.com/Lightning-AI/lightning-flash) (👨💻 84 · 🔀 190 · 📦 210 · 📋 520 - 6% open · ⏱️ 07.03.2023):
```
git clone https://github.com/Lightning-AI/lightning-flash
```
-- [PyPi](https://pypi.org/project/lightning-flash) (📥 2.4K / month · 📦 4 · ⏱️ 05.01.2023):
+- [PyPi](https://pypi.org/project/lightning-flash) (📥 2.1K / month · 📦 4 · ⏱️ 05.01.2023):
```
pip install lightning-flash
```
-- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 10K · ⏱️ 08.11.2022):
+- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 11K · ⏱️ 08.11.2022):
```
conda install -c conda-forge lightning-flash
```
torch-scatter (🥈26 · ⭐ 1.2K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨💻 25 · 🔀 150 · 📋 300 - 5% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨💻 25 · 🔀 150 · 📋 310 - 5% open · ⏱️ 16.03.2023):
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (📥 47K / month · 📦 63 · ⏱️ 24.11.2022):
+- [PyPi](https://pypi.org/project/torch-scatter) (📥 51K / month · 📦 63 · ⏱️ 24.11.2022):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 160K · ⏱️ 02.01.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 160K · ⏱️ 20.03.2023):
```
conda install -c conda-forge pytorch_scatter
```
PyTorch Sparse (🥈25 · ⭐ 790) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨💻 39 · 🔀 130 · 📋 230 - 12% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨💻 39 · 🔀 130 · 📋 230 - 12% open · ⏱️ 22.03.2023):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (📥 33K / month · 📦 48 · ⏱️ 22.12.2022):
+- [PyPi](https://pypi.org/project/torch-sparse) (📥 36K / month · 📦 57 · ⏱️ 22.12.2022):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 170K · ⏱️ 23.01.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 170K · ⏱️ 23.03.2023):
```
conda install -c conda-forge pytorch_sparse
```
Pytorch Toolbelt (🥈24 · ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
-- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨💻 7 · 🔀 110 · 📋 25 - 4% open · ⏱️ 25.02.2023):
+- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨💻 7 · 🔀 110 · 📋 25 - 4% open · ⏱️ 18.03.2023):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 14K / month · 📦 6 · ⏱️ 25.12.2022):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 12K / month · 📦 6 · ⏱️ 25.12.2022):
```
pip install pytorch_toolbelt
```
TabNet (🥉23 · ⭐ 2K) - PyTorch implementation of TabNet paper :.. MIT
+TabNet (🥉23 · ⭐ 2.1K) - PyTorch implementation of TabNet paper :.. MIT
-- [GitHub](https://github.com/dreamquark-ai/tabnet) (👨💻 19 · 🔀 400 · 📋 280 - 15% open · ⏱️ 12.12.2022):
+- [GitHub](https://github.com/dreamquark-ai/tabnet) (👨💻 19 · 🔀 400 · 📋 280 - 15% open · ⏱️ 23.03.2023):
```
git clone https://github.com/dreamquark-ai/tabnet
```
-- [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 28K / month · 📦 9 · ⏱️ 19.09.2022):
+- [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 27K / month · 📦 9 · ⏱️ 19.09.2022):
```
pip install pytorch-tabnet
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (📥 3.4K · ⏱️ 22.02.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (📥 3.5K · ⏱️ 22.02.2023):
```
conda install -c conda-forge pytorch-tabnet
```
@@ -8366,7 +8381,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/lucidrains/reformer-pytorch
```
-- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 1.9K / month · ⏱️ 06.11.2021):
+- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 2.2K / month · ⏱️ 06.11.2021):
```
pip install reformer-pytorch
```
@@ -8378,7 +8393,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/abhishekkrthakur/tez
```
-- [PyPi](https://pypi.org/project/tez) (📥 900 / month · 📦 2 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/tez) (📥 950 / month · 📦 2 · ⏱️ 20.09.2022):
```
pip install tez
```
@@ -8401,12 +8416,12 @@ _Libraries that extend Pytorch with additional capabilities._
madgrad (🥉16 · ⭐ 780 · 💤) - MADGRAD Optimization Method. MIT
-- [GitHub](https://github.com/facebookresearch/madgrad) (👨💻 2 · 🔀 55 · 📦 49 · 📋 9 - 22% open · ⏱️ 10.03.2022):
+- [GitHub](https://github.com/facebookresearch/madgrad) (👨💻 2 · 🔀 55 · 📦 49 · 📋 10 - 30% open · ⏱️ 10.03.2022):
```
git clone https://github.com/facebookresearch/madgrad
```
-- [PyPi](https://pypi.org/project/madgrad) (📥 4K / month · ⏱️ 08.03.2022):
+- [PyPi](https://pypi.org/project/madgrad) (📥 4.2K / month · ⏱️ 08.03.2022):
```
pip install madgrad
```
@@ -8419,17 +8434,17 @@ _Libraries that extend Pytorch with additional capabilities._
- EfficientNet-PyTorch (🥈26 · ⭐ 7.3K · 💀) - A PyTorch implementation of EfficientNet and.. Apache-2 Apache-2 MIT MIT Apache-2 Apache-2 Apache-2 MIT ❗️CC BY-NC-SA 4.0 MIT MIT MIT ❗️LGPL-3.0 MIT MIT
- Lambda Networks (🥉19 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT MIT ❗️LGPL-3.0 MIT Apache-2 scipy (🥇49 · ⭐ 11K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (👨💻 1.4K · 🔀 4.6K · 📥 370K · 📦 690K · 📋 9.2K - 18% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/scipy/scipy) (👨💻 1.4K · 🔀 4.6K · 📥 370K · 📦 690K · 📋 9.2K - 18% open · ⏱️ 22.03.2023):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (📥 54M / month · 📦 62K · ⏱️ 03.01.2023):
+- [PyPi](https://pypi.org/project/scipy) (📥 56M / month · 📦 62K · ⏱️ 03.01.2023):
```
pip install scipy
```
-- [Conda](https://anaconda.org/conda-forge/scipy) (📥 34M · ⏱️ 26.02.2023):
+- [Conda](https://anaconda.org/conda-forge/scipy) (📥 35M · ⏱️ 26.02.2023):
```
conda install -c conda-forge scipy
```
SymPy (🥇46 · ⭐ 10K) - A computer algebra system written in pure Python. BSD-3
+SymPy (🥇47 · ⭐ 10K · 📈) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (👨💻 1.2K · 🔀 3.9K · 📥 490K · 📦 55K · 📋 13K - 35% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/sympy/sympy) (👨💻 1.2K · 🔀 3.9K · 📥 490K · 📦 55K · 📋 13K - 36% open · ⏱️ 23.03.2023):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (📥 3.1M / month · 📦 4.5K · ⏱️ 30.08.2022):
+- [PyPi](https://pypi.org/project/sympy) (📥 3.7M / month · 📦 4.5K · ⏱️ 30.08.2022):
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (📥 3M · ⏱️ 27.10.2022):
+- [Conda](https://anaconda.org/conda-forge/sympy) (📥 3M · ⏱️ 20.03.2023):
```
conda install -c conda-forge sympy
```
Streamlit (🥇41 · ⭐ 23K · 📈) - Streamlit The fastest way to build data apps in Python. Apache-2
+Streamlit (🥇41 · ⭐ 23K) - Streamlit The fastest way to build data apps in Python. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (👨💻 170 · 🔀 2.1K · 📦 630 · 📋 3.2K - 19% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/streamlit/streamlit) (👨💻 170 · 🔀 2.1K · 📦 640 · 📋 3.2K - 19% open · ⏱️ 23.03.2023):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (📥 1.4M / month · 📦 690 · ⏱️ 12.01.2023):
+- [PyPi](https://pypi.org/project/streamlit) (📥 1.5M / month · 📦 710 · ⏱️ 09.03.2023):
```
pip install streamlit
```
Gradio (🥇39 · ⭐ 14K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (👨💻 140 · 🔀 910 · 📦 4K · 📋 1.7K - 13% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/gradio-app/gradio) (👨💻 140 · 🔀 920 · 📦 4.2K · 📋 1.8K - 14% open · ⏱️ 22.03.2023):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (📥 2.4M / month · 📦 72 · ⏱️ 20.02.2023):
+- [PyPi](https://pypi.org/project/gradio) (📥 2.6M / month · 📦 74 · ⏱️ 20.02.2023):
```
pip install gradio
```
carla (🥇36 · ⭐ 8.9K) - Open-source simulator for autonomous driving research. MIT
+DeepChem (🥇36 · ⭐ 4.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (👨💻 150 · 🔀 2.8K · 📦 380 · 📋 4.3K - 20% open · ⏱️ 24.01.2023):
+- [GitHub](https://github.com/deepchem/deepchem) (👨💻 210 · 🔀 1.5K · 📦 180 · 📋 1.6K - 34% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/carla-simulator/carla
+ git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/carla) (📥 20K / month · 📦 5 · ⏱️ 24.12.2022):
+- [PyPi](https://pypi.org/project/deepchem) (📥 15K / month · 📦 8 · ⏱️ 06.07.2022):
```
- pip install carla
+ pip install deepchem
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 92K · ⏱️ 02.12.2022):
+ ```
+ conda install -c conda-forge deepchem
```
PyOD (🥇35 · ⭐ 6.8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
+carla (🥇35 · ⭐ 9K · 📉) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/yzhao062/pyod) (👨💻 48 · 🔀 1.2K · 📦 2.1K · 📋 300 - 53% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/carla-simulator/carla) (👨💻 150 · 🔀 2.8K · 📦 380 · 📋 4.3K - 20% open · ⏱️ 24.01.2023):
```
- git clone https://github.com/yzhao062/pyod
- ```
-- [PyPi](https://pypi.org/project/pyod) (📥 720K / month · 📦 47 · ⏱️ 16.12.2022):
- ```
- pip install pyod
+ git clone https://github.com/carla-simulator/carla
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (📥 58K · ⏱️ 09.03.2023):
+- [PyPi](https://pypi.org/project/carla) (📥 21K / month · 📦 5 · ⏱️ 24.12.2022):
```
- conda install -c conda-forge pyod
+ pip install carla
```
DeepChem (🥇35 · ⭐ 4.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
+PyOD (🥇35 · ⭐ 6.9K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
-- [GitHub](https://github.com/deepchem/deepchem) (👨💻 210 · 🔀 1.5K · 📦 170 · 📋 1.6K - 34% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/yzhao062/pyod) (👨💻 48 · 🔀 1.2K · 📦 2.1K · 📋 300 - 53% open · ⏱️ 20.03.2023):
```
- git clone https://github.com/deepchem/deepchem
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/deepchem) (📥 13K / month · 📦 8 · ⏱️ 06.07.2022):
+- [PyPi](https://pypi.org/project/pyod) (📥 730K / month · 📦 49 · ⏱️ 16.12.2022):
```
- pip install deepchem
+ pip install pyod
```
-- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 90K · ⏱️ 02.12.2022):
+- [Conda](https://anaconda.org/conda-forge/pyod) (📥 59K · ⏱️ 20.03.2023):
```
- conda install -c conda-forge deepchem
+ conda install -c conda-forge pyod
```
PaddleHub (🥈34 · ⭐ 11K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
@@ -8556,46 +8571,42 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (📥 7.2K / month · 📦 6 · ⏱️ 28.11.2022):
+- [PyPi](https://pypi.org/project/paddlehub) (📥 7.6K / month · 📦 6 · ⏱️ 28.11.2022):
```
pip install paddlehub
```
Datasette (🥈34 · ⭐ 7.2K) - An open source multi-tool for exploring and publishing data. Apache-2
+adapter-transformers (🥈34 · ⭐ 1.3K) - Huggingface Transformers + Adapters =. Apache-2 huggingface
-- [GitHub](https://github.com/simonw/datasette) (👨💻 74 · 🔀 510 · 📥 42 · 📦 930 · 📋 1.6K - 30% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨💻 1.7K · 🔀 240 · 📦 140 · 📋 300 - 22% open · ⏱️ 20.03.2023):
```
- git clone https://github.com/simonw/datasette
- ```
-- [PyPi](https://pypi.org/project/datasette) (📥 42K / month · 📦 200 · ⏱️ 11.01.2023):
- ```
- pip install datasette
+ git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (📥 17K · ⏱️ 11.03.2023):
+- [PyPi](https://pypi.org/project/adapter-transformers) (📥 16K / month · 📦 6 · ⏱️ 20.09.2022):
```
- conda install -c conda-forge datasette
+ pip install adapter-transformers
```
agate (🥈34 · ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT
+Datasette (🥈33 · ⭐ 7.3K · 📉) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/wireservice/agate) (👨💻 51 · 🔀 150 · 📦 1.6K · 📋 650 - 2% open · ⏱️ 12.01.2023):
+- [GitHub](https://github.com/simonw/datasette) (👨💻 75 · 🔀 510 · 📥 42 · 📦 930 · 📋 1.6K - 30% open · ⏱️ 22.03.2023):
```
- git clone https://github.com/wireservice/agate
+ git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/agate) (📥 2.5M / month · 📦 140 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/datasette) (📥 42K / month · 📦 200 · ⏱️ 11.01.2023):
```
- pip install agate
+ pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/agate) (📥 120K · ⏱️ 05.01.2023):
+- [Conda](https://anaconda.org/conda-forge/datasette) (📥 17K · ⏱️ 11.03.2023):
```
- conda install -c conda-forge agate
+ conda install -c conda-forge datasette
```
Autograd (🥈33 · ⭐ 6.2K) - Efficiently computes derivatives of numpy code. MIT
-- [GitHub](https://github.com/HIPS/autograd) (👨💻 52 · 🔀 850 · 📦 4.8K · 📋 400 - 42% open · ⏱️ 29.09.2022):
+- [GitHub](https://github.com/HIPS/autograd) (👨💻 52 · 🔀 850 · 📦 4.8K · 📋 400 - 42% open · ⏱️ 22.03.2023):
```
git clone https://github.com/HIPS/autograd
@@ -8604,31 +8615,35 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install autograd
```
-- [Conda](https://anaconda.org/conda-forge/autograd) (📥 290K · ⏱️ 03.10.2022):
+- [Conda](https://anaconda.org/conda-forge/autograd) (📥 300K · ⏱️ 03.10.2022):
```
conda install -c conda-forge autograd
```
adapter-transformers (🥈33 · ⭐ 1.3K) - Huggingface Transformers + Adapters =. Apache-2 huggingface
+agate (🥈33 · ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT
-- [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨💻 1.7K · 🔀 240 · 📦 140 · 📋 290 - 22% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/wireservice/agate) (👨💻 51 · 🔀 150 · 📦 1.6K · 📋 650 - 2% open · ⏱️ 12.01.2023):
```
- git clone https://github.com/Adapter-Hub/adapter-transformers
+ git clone https://github.com/wireservice/agate
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (📥 15K / month · 📦 6 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/agate) (📥 2.5M / month · 📦 140 · ⏱️ 04.01.2023):
```
- pip install adapter-transformers
+ pip install agate
+ ```
+- [Conda](https://anaconda.org/conda-forge/agate) (📥 120K · ⏱️ 05.01.2023):
+ ```
+ conda install -c conda-forge agate
```
River (🥈32 · ⭐ 4.1K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (👨💻 95 · 🔀 460 · 📦 250 · 📋 400 - 2% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/online-ml/river) (👨💻 95 · 🔀 460 · 📦 250 · 📋 410 - 2% open · ⏱️ 19.03.2023):
```
git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/river) (📥 17K / month · 📦 22 · ⏱️ 29.01.2023):
+- [PyPi](https://pypi.org/project/river) (📥 16K / month · 📦 22 · ⏱️ 29.01.2023):
```
pip install river
```
@@ -8648,14 +8663,14 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install hdbscan
```
-- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 1.4M · ⏱️ 05.02.2023):
+- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 1.5M · ⏱️ 05.02.2023):
```
conda install -c conda-forge hdbscan
```
Pythran (🥈32 · ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (👨💻 68 · 🔀 180 · 📦 600 · 📋 810 - 15% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (👨💻 68 · 🔀 180 · 📦 620 · 📋 810 - 15% open · ⏱️ 23.03.2023):
```
git clone https://github.com/serge-sans-paille/pythran
@@ -8671,7 +8686,7 @@ _Libraries for connecting to, operating, and querying databases._
tensorly (🥈32 · ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2
-- [GitHub](https://github.com/tensorly/tensorly) (👨💻 60 · 🔀 270 · 📦 370 · 📋 240 - 24% open · ⏱️ 08.03.2023):
+- [GitHub](https://github.com/tensorly/tensorly) (👨💻 60 · 🔀 270 · 📦 370 · 📋 240 - 24% open · ⏱️ 17.03.2023):
```
git clone https://github.com/tensorly/tensorly
@@ -8692,7 +8707,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (📥 110K / month · 📦 190 · ⏱️ 04.01.2023):
+- [PyPi](https://pypi.org/project/pyopencl) (📥 130K / month · 📦 190 · ⏱️ 04.01.2023):
```
pip install pyopencl
```
@@ -8703,7 +8718,7 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (🥈31 · ⭐ 1.7K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨💻 130 · 🔀 450 · 📥 64 · 📋 1K - 28% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨💻 130 · 🔀 450 · 📥 64 · 📋 1K - 28% open · ⏱️ 23.03.2023):
```
git clone https://github.com/PennyLaneAI/PennyLane
@@ -8712,7 +8727,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install pennylane
```
-- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 7.5K · ⏱️ 13.03.2023):
+- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 7.7K · ⏱️ 13.03.2023):
```
conda install -c conda-forge pennylane
```
@@ -8728,14 +8743,14 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install pyjanitor
```
-- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 160K · ⏱️ 17.10.2022):
+- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 160K · ⏱️ 23.03.2023):
```
conda install -c conda-forge pyjanitor
```
datalad (🥈31 · ⭐ 400) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/datalad/datalad) (👨💻 55 · 🔀 110 · 📋 3.8K - 12% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/datalad/datalad) (👨💻 55 · 🔀 110 · 📋 3.8K - 12% open · ⏱️ 22.03.2023):
```
git clone https://github.com/datalad/datalad
@@ -8751,7 +8766,7 @@ _Libraries for connecting to, operating, and querying databases._
alibi-detect (🥈29 · ⭐ 1.7K) - Algorithms for outlier, adversarial and drift detection. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi-detect) (👨💻 17 · 🔀 170 · 📦 330 · 📋 330 - 35% open · ⏱️ 03.03.2023):
+- [GitHub](https://github.com/SeldonIO/alibi-detect) (👨💻 17 · 🔀 170 · 📦 330 · 📋 330 - 35% open · ⏱️ 17.03.2023):
```
git clone https://github.com/SeldonIO/alibi-detect
@@ -8763,12 +8778,12 @@ _Libraries for connecting to, operating, and querying databases._
avalanche (🥈29 · ⭐ 1.3K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-- [GitHub](https://github.com/ContinualAI/avalanche) (👨💻 63 · 🔀 210 · 📥 4 · 📦 23 · 📋 640 - 12% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/ContinualAI/avalanche) (👨💻 63 · 🔀 210 · 📥 4 · 📦 23 · 📋 650 - 13% open · ⏱️ 16.03.2023):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (📥 1.4K / month · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/avalanche-lib) (📥 1.2K / month · ⏱️ 15.12.2022):
```
pip install avalanche-lib
```
@@ -8803,12 +8818,12 @@ _Libraries for connecting to, operating, and querying databases._
kmodes (🥈28 · ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT
-- [GitHub](https://github.com/nicodv/kmodes) (👨💻 21 · 🔀 390 · 📦 1.8K · 📋 150 - 11% open · ⏱️ 21.02.2023):
+- [GitHub](https://github.com/nicodv/kmodes) (👨💻 21 · 🔀 390 · 📦 1.9K · 📋 160 - 11% open · ⏱️ 21.02.2023):
```
git clone https://github.com/nicodv/kmodes
```
-- [PyPi](https://pypi.org/project/kmodes) (📥 400K / month · 📦 26 · ⏱️ 06.09.2022):
+- [PyPi](https://pypi.org/project/kmodes) (📥 380K / month · 📦 26 · ⏱️ 06.09.2022):
```
pip install kmodes
```
@@ -8819,12 +8834,12 @@ _Libraries for connecting to, operating, and querying databases._
Prince (🥈28 · ⭐ 960) - Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA,.. MIT
-- [GitHub](https://github.com/MaxHalford/prince) (👨💻 14 · 🔀 170 · 📦 320 · 📋 120 - 0% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/MaxHalford/prince) (👨💻 14 · 🔀 170 · 📦 320 · 📋 120 - 0% open · ⏱️ 18.03.2023):
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (📥 37K / month · 📦 9 · ⏱️ 06.10.2020):
+- [PyPi](https://pypi.org/project/prince) (📥 40K / month · 📦 9 · ⏱️ 06.10.2020):
```
pip install prince
```
@@ -8835,50 +8850,50 @@ _Libraries for connecting to, operating, and querying databases._
pysc2 (🥉27 · ⭐ 7.7K · 💤) - StarCraft II Learning Environment. Apache-2
-- [GitHub](https://github.com/deepmind/pysc2) (👨💻 36 · 🔀 1.2K · 📥 30K · 📦 500 · 📋 280 - 17% open · ⏱️ 07.08.2022):
+- [GitHub](https://github.com/deepmind/pysc2) (👨💻 36 · 🔀 1.2K · 📥 30K · 📦 510 · 📋 280 - 17% open · ⏱️ 07.08.2022):
```
git clone https://github.com/deepmind/pysc2
```
-- [PyPi](https://pypi.org/project/pysc2) (📥 2K / month · 📦 26 · ⏱️ 13.07.2022):
+- [PyPi](https://pypi.org/project/pysc2) (📥 1.7K / month · 📦 26 · ⏱️ 13.07.2022):
```
pip install pysc2
```
Mars (🥉27 · ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
+causalml (🥉27 · ⭐ 3.9K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/mars-project/mars) (👨💻 45 · 🔀 310 · 📋 1.2K - 18% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/uber/causalml) (👨💻 49 · 🔀 610 · 📦 150 · 📋 320 - 26% open · ⏱️ 18.03.2023):
```
- git clone https://github.com/mars-project/mars
+ git clone https://github.com/uber/causalml
```
-- [PyPi](https://pypi.org/project/pymars) (📥 34K / month · 📦 1 · ⏱️ 10.01.2023):
+- [PyPi](https://pypi.org/project/causalml) (📥 49K / month · 📦 1 · ⏱️ 14.03.2022):
```
- pip install pymars
+ pip install causalml
```
anomalib (🥉27 · ⭐ 1.7K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
+Mars (🥉27 · ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨💻 34 · 🔀 310 · 📥 170 · 📦 8 · 📋 410 - 8% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/mars-project/mars) (👨💻 45 · 🔀 310 · 📋 1.2K - 18% open · ⏱️ 14.03.2023):
```
- git clone https://github.com/openvinotoolkit/anomalib
+ git clone https://github.com/mars-project/mars
```
-- [PyPi](https://pypi.org/project/anomalib) (📥 4K / month · ⏱️ 28.10.2022):
+- [PyPi](https://pypi.org/project/pymars) (📥 37K / month · 📦 1 · ⏱️ 10.01.2023):
```
- pip install anomalib
+ pip install pymars
```
causalml (🥉26 · ⭐ 3.8K) - Uplift modeling and causal inference with machine learning.. Apache-2
+anomalib (🥉27 · ⭐ 1.7K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (👨💻 49 · 🔀 610 · 📦 150 · 📋 320 - 26% open · ⏱️ 16.03.2023):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨💻 35 · 🔀 310 · 📥 200 · 📦 8 · 📋 410 - 9% open · ⏱️ 23.03.2023):
```
- git clone https://github.com/uber/causalml
+ git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/causalml) (📥 49K / month · 📦 1 · ⏱️ 14.03.2022):
+- [PyPi](https://pypi.org/project/anomalib) (📥 3.7K / month · ⏱️ 28.10.2022):
```
- pip install causalml
+ pip install anomalib
```
metric-learn (🥉26 · ⭐ 1.3K · 💤) - Metric learning algorithms in Python. MIT
@@ -8888,23 +8903,23 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (📥 32K / month · 📦 12 · ⏱️ 02.07.2020):
+- [PyPi](https://pypi.org/project/metric-learn) (📥 33K / month · 📦 12 · ⏱️ 02.07.2020):
```
pip install metric-learn
```
-- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 8.5K · ⏱️ 02.07.2020):
+- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 8.6K · ⏱️ 02.07.2020):
```
conda install -c conda-forge metric-learn
```
PySwarms (🥉26 · ⭐ 1K · 💤) - A research toolkit for particle swarm optimization in Python. MIT
+PySwarms (🥉26 · ⭐ 1.1K · 💤) - A research toolkit for particle swarm optimization in Python. MIT
- [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨💻 44 · 🔀 310 · 📦 240 · 📋 220 - 8% open · ⏱️ 03.07.2022):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
-- [PyPi](https://pypi.org/project/pyswarms) (📥 7.4K / month · 📦 11 · ⏱️ 03.01.2021):
+- [PyPi](https://pypi.org/project/pyswarms) (📥 7.9K / month · 📦 11 · ⏱️ 03.01.2021):
```
pip install pyswarms
```
@@ -8916,7 +8931,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (📥 6.8K / month · 📦 1 · ⏱️ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (📥 6.9K / month · 📦 1 · ⏱️ 26.10.2021):
```
pip install trax
```
@@ -8928,23 +8943,35 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/trevorstephens/gplearn
```
-- [PyPi](https://pypi.org/project/gplearn) (📥 5.7K / month · 📦 13 · ⏱️ 03.05.2022):
+- [PyPi](https://pypi.org/project/gplearn) (📥 6.4K / month · 📦 13 · ⏱️ 03.05.2022):
```
pip install gplearn
```
-- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 4.5K · ⏱️ 04.05.2022):
+- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 4.6K · ⏱️ 04.05.2022):
```
conda install -c conda-forge gplearn
```
dstack (🥉25 · ⭐ 590 · 📈) - Define ML workflows as code and run via CLI. Use any cloud... MPL-2.0
+
+- [GitHub](https://github.com/dstackai/dstack) (👨💻 10 · 🔀 36 · 📦 11 · 📋 190 - 18% open · ⏱️ 23.03.2023):
+
+ ```
+ git clone https://github.com/dstackai/dstack
+ ```
+- [PyPi](https://pypi.org/project/dstack) (📥 1.2K / month · ⏱️ 29.06.2022):
+ ```
+ pip install dstack
+ ```
+AugLy (🥉24 · ⭐ 4.7K) - A data augmentations library for audio, image, text, and video. MIT
-- [GitHub](https://github.com/facebookresearch/AugLy) (👨💻 26 · 🔀 280 · 📦 55 · 📋 73 - 26% open · ⏱️ 05.12.2022):
+- [GitHub](https://github.com/facebookresearch/AugLy) (👨💻 26 · 🔀 280 · 📦 56 · 📋 73 - 26% open · ⏱️ 05.12.2022):
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (📥 2K / month · 📦 3 · ⏱️ 28.03.2022):
+- [PyPi](https://pypi.org/project/augly) (📥 2.2K / month · 📦 3 · ⏱️ 28.03.2022):
```
pip install augly
```
@@ -8956,18 +8983,18 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (📥 160K / month · 📦 30 · ⏱️ 22.11.2022):
+- [PyPi](https://pypi.org/project/feature_engine) (📥 150K / month · 📦 30 · ⏱️ 22.11.2022):
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 27K · ⏱️ 27.02.2023):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 28K · ⏱️ 27.02.2023):
```
conda install -c conda-forge feature_engine
```
MONAILabel (🥉24 · ⭐ 380) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨💻 43 · 🔀 130 · 📥 42K · 📋 390 - 12% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨💻 44 · 🔀 130 · 📥 43K · 📋 390 - 12% open · ⏱️ 23.03.2023):
```
git clone https://github.com/Project-MONAI/MONAILabel
@@ -8979,12 +9006,12 @@ _Libraries for connecting to, operating, and querying databases._
BioPandas (🥉23 · ⭐ 580) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/BioPandas/biopandas) (👨💻 9 · 🔀 100 · 📦 160 · 📋 47 - 36% open · ⏱️ 29.01.2023):
+- [GitHub](https://github.com/BioPandas/biopandas) (👨💻 9 · 🔀 110 · 📦 160 · 📋 47 - 36% open · ⏱️ 29.01.2023):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (📥 7.9K / month · 📦 18 · ⏱️ 13.05.2022):
+- [PyPi](https://pypi.org/project/biopandas) (📥 8.1K / month · 📦 18 · ⏱️ 13.05.2022):
```
pip install biopandas
```
@@ -8993,18 +9020,6 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge biopandas
```
dstack (🥉23 · ⭐ 580) - Define ML workflows as code and run via CLI. Use any cloud. Collaborate.. MPL-2.0
-
-- [GitHub](https://github.com/dstackai/dstack) (👨💻 10 · 🔀 34 · 📦 11 · 📋 180 - 16% open · ⏱️ 16.03.2023):
-
- ```
- git clone https://github.com/dstackai/dstack
- ```
-- [PyPi](https://pypi.org/project/dstack) (📥 940 / month · ⏱️ 29.06.2022):
- ```
- pip install dstack
- ```
-AstroML (🥉22 · ⭐ 890) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
- [GitHub](https://github.com/astroML/astroML) (👨💻 30 · 🔀 280 · 📋 160 - 39% open · ⏱️ 12.12.2022):
@@ -9012,7 +9027,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/astroML/astroML
```
-- [PyPi](https://pypi.org/project/astroML) (📥 1.7K / month · 📦 33 · ⏱️ 01.03.2022):
+- [PyPi](https://pypi.org/project/astroML) (📥 1.5K / month · 📦 33 · ⏱️ 01.03.2022):
```
pip install astroML
```
@@ -9021,39 +9036,39 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge astroml
```
StreamAlert (🥉21 · ⭐ 2.8K · 💤) - StreamAlert is a serverless, realtime data analysis.. Apache-2
+rrcf (🥉22 · ⭐ 430) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT
-- [GitHub](https://github.com/airbnb/streamalert) (👨💻 33 · 🔀 320 · 📋 340 - 24% open · ⏱️ 20.07.2022):
+- [GitHub](https://github.com/kLabUM/rrcf) (👨💻 5 · 🔀 94 · 📦 43 · 📋 45 - 57% open · ⏱️ 15.03.2023):
```
- git clone https://github.com/airbnb/streamalert
+ git clone https://github.com/kLabUM/rrcf
+ ```
+- [PyPi](https://pypi.org/project/rrcf) (📥 9.8K / month · 📦 2 · ⏱️ 10.06.2020):
+ ```
+ pip install rrcf
```
benchmark_VAE (🥉21 · ⭐ 1.2K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
+StreamAlert (🥉21 · ⭐ 2.8K · 💤) - StreamAlert is a serverless, realtime data analysis.. Apache-2
-- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨💻 9 · 🔀 100 · 📦 4 · 📋 33 - 15% open · ⏱️ 13.03.2023):
+- [GitHub](https://github.com/airbnb/streamalert) (👨💻 33 · 🔀 320 · 📋 340 - 24% open · ⏱️ 20.07.2022):
```
- git clone https://github.com/clementchadebec/benchmark_VAE
- ```
-- [PyPi](https://pypi.org/project/pythae) (📥 660 / month · ⏱️ 19.10.2022):
- ```
- pip install pythae
+ git clone https://github.com/airbnb/streamalert
```
rrcf (🥉21 · ⭐ 420) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT
+benchmark_VAE (🥉21 · ⭐ 1.3K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
-- [GitHub](https://github.com/kLabUM/rrcf) (👨💻 5 · 🔀 94 · 📦 43 · 📋 45 - 57% open · ⏱️ 15.03.2023):
+- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨💻 9 · 🔀 110 · 📦 4 · 📋 33 - 15% open · ⏱️ 13.03.2023):
```
- git clone https://github.com/kLabUM/rrcf
+ git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/rrcf) (📥 7.7K / month · 📦 2 · ⏱️ 10.06.2020):
+- [PyPi](https://pypi.org/project/pythae) (📥 670 / month · ⏱️ 19.10.2022):
```
- pip install rrcf
+ pip install pythae
```
SUOD (🥉19 · ⭐ 340 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2
+SUOD (🥉19 · ⭐ 350 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2
- [GitHub](https://github.com/yzhao062/SUOD) (👨💻 2 · 🔀 42 · 📦 470 · 📋 10 - 70% open · ⏱️ 07.07.2022):
@@ -9072,31 +9087,31 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (📥 68 / month · ⏱️ 21.08.2022):
+- [PyPi](https://pypi.org/project/pykale) (📥 77 / month · ⏱️ 21.08.2022):
```
pip install pykale
```
KD-Lib (🥉16 · ⭐ 480) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
+KD-Lib (🥉16 · ⭐ 490) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
- [GitHub](https://github.com/SforAiDl/KD_Lib) (👨💻 6 · 🔀 47 · 📋 67 - 26% open · ⏱️ 01.03.2023):
```
git clone https://github.com/SforAiDl/KD_Lib
```
-- [PyPi](https://pypi.org/project/KD-Lib) (📥 66 / month · ⏱️ 18.05.2022):
+- [PyPi](https://pypi.org/project/KD-Lib) (📥 54 / month · ⏱️ 18.05.2022):
```
pip install KD-Lib
```
NeuralCompression (🥉14 · ⭐ 310) - A collection of tools for neural compression enthusiasts. MIT
-- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨💻 5 · 🔀 28 · 📋 77 - 23% open · ⏱️ 07.03.2023):
+- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨💻 5 · 🔀 29 · 📋 77 - 23% open · ⏱️ 16.03.2023):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (📥 130 / month · ⏱️ 12.01.2022):
+- [PyPi](https://pypi.org/project/neuralcompression) (📥 120 / month · ⏱️ 12.01.2022):
```
pip install neuralcompression
```
@@ -9111,7 +9126,7 @@ _Libraries for connecting to, operating, and querying databases._
Show 17 hidden projects...
-- cleanlab (🥈30 · ⭐ 5.5K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0
+- cleanlab (🥈30 · ⭐ 5.6K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0
- Cython BLIS (🥈29 · ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
- minisom (🥉27 · ⭐ 1.2K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0
- modAL (🥉26 · ⭐ 1.9K · 💀) - A modular active learning framework for Python. MIT MIT
- findspark (🥉23 · ⭐ 470 · 💀) - Find pyspark to make it importable. BSD-3 MIT
-- metricflow (🥉21 · ⭐ 820) - MetricFlow allows you to define, build, and maintain metrics in.. ❗️AGPL-3.0
-- opyrator (🥉20 · ⭐ 2.8K · 💀) - Turns your machine learning code into microservices with web API,.. MIT
+- opyrator (🥉21 · ⭐ 2.8K · 💀) - Turns your machine learning code into microservices with web API,.. MIT
+- metricflow (🥉21 · ⭐ 830) - MetricFlow allows you to define, build, and maintain metrics in.. ❗️AGPL-3.0
- scikit-rebate (🥉20 · ⭐ 380 · 💀) - A scikit-learn-compatible Python implementation of.. MIT MIT
- apricot (🥉18 · ⭐ 460 · 💀) - apricot implements submodular optimization for the purpose of.. MIT
diff --git a/history/2023-03-23_changes.md b/history/2023-03-23_changes.md
new file mode 100644
index 00000000..19713462
--- /dev/null
+++ b/history/2023-03-23_changes.md
@@ -0,0 +1,30 @@
+## 📈 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._
+
+- SymPy (🥇47 · ⭐ 10K · 📈) - A computer algebra system written in pure Python. BSD-3
+- spaCy (🥇44 · ⭐ 26K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+- dlib (🥈40 · ⭐ 12K · 📈) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
+- metrics (🥈35 · ⭐ 1.3K · 📈) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 ❗️GPL-3.0
+- StatsForecast (🥈29 · ⭐ 2.4K · 📈) - Lightning fast forecasting with statistical and.. Apache-2
+- dstack (🥉25 · ⭐ 590 · 📈) - Define ML workflows as code and run via CLI. Use any cloud... MPL-2.0
+- Torchmeta (🥉23 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT MIT MIT
+
+## 📉 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._
+
+- TensorFlow Datasets (🥇36 · ⭐ 3.8K · 📉) - TFDS is a collection of datasets ready to use with.. Apache-2 MIT
+- Albumentations (🥈34 · ⭐ 12K · 📉) - Fast image augmentation library and an easy-to-use.. MIT MIT Apache-2 Apache-2
+- librosa (🥈33 · ⭐ 5.8K · 📉) - Python library for audio and music analysis. ISC
+- fastText (🥈32 · ⭐ 24K · 💤) - Library for fast text representation and classification. MIT
+- CuPy (🥉25 · ⭐ 6.7K · 📉) - NumPy & SciPy for GPU. MIT
+- DeepSpeech (🥉23 · ⭐ 21K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 Apache-2
-- Altair (🥇41 · ⭐ 8.1K · 📈) - Declarative statistical visualization library for Python. BSD-3
-- flair (🥇40 · ⭐ 13K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT Apache-2
-- plotnine (🥈34 · ⭐ 3.4K · 📈) - A grammar of graphics for Python. MIT
-- scikit-multilearn (🥈30 · ⭐ 820 · 📈) - A scikit-learn based module for multi-label et. al... BSD-2 ❗️GPL-3.0
-- Pillow-SIMD (🥉28 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL
-- quinn (🥉26 · ⭐ 430 · 📈) - pyspark methods to enhance developer productivity. Apache-2 MIT BSD-3
+- spaCy (🥇44 · ⭐ 26K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+- dlib (🥈40 · ⭐ 12K · 📈) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
+- metrics (🥈35 · ⭐ 1.3K · 📈) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 ❗️GPL-3.0
+- StatsForecast (🥈29 · ⭐ 2.4K · 📈) - Lightning fast forecasting with statistical and.. Apache-2
+- dstack (🥉25 · ⭐ 590 · 📈) - Define ML workflows as code and run via CLI. Use any cloud... MPL-2.0
+- Torchmeta (🥉23 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT MIT MIT
## 📉 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._
-- spaCy (🥇42 · ⭐ 26K · 📉) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- fairseq (🥇36 · ⭐ 21K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT MIT
-- TextBlob (🥈35 · ⭐ 8.5K · 📉) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
-- metrics (🥈31 · ⭐ 1.3K · 📉) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 ❗️GPL-3.0
-- pandas-profiling (🥉27 · ⭐ 10K · 📉) - Deprecated pandas-profiling package, use ydata-.. MIT Apache-2
-- Torchmeta (🥉20 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT MIT
+- TensorFlow Datasets (🥇36 · ⭐ 3.8K · 📉) - TFDS is a collection of datasets ready to use with.. Apache-2 MIT
+- Albumentations (🥈34 · ⭐ 12K · 📉) - Fast image augmentation library and an easy-to-use.. MIT MIT Apache-2 Apache-2
+- librosa (🥈33 · ⭐ 5.8K · 📉) - Python library for audio and music analysis. ISC
+- fastText (🥈32 · ⭐ 24K · 💤) - Library for fast text representation and classification. MIT
+- CuPy (🥉25 · ⭐ 6.7K · 📉) - NumPy & SciPy for GPU. MIT
+- DeepSpeech (🥉23 · ⭐ 21K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0