diff --git a/README.md b/README.md
index 4d143b69..de87ded9 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-This curated list contains 920 awesome open-source projects with a total of 4.1M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
+This curated list contains 920 awesome open-source projects with a total of 4.2M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
---
@@ -54,7 +54,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M
- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_
- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
-- [Model Interpretability](#model-interpretability) _53 projects_
+- [Model Interpretability](#model-interpretability) _54 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
@@ -99,14 +99,14 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M
_General-purpose machine learning and deep learning frameworks._
-Tensorflow (π₯55 Β· β 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
+Tensorflow (π₯54 Β· β 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 89K Β· π¦ 310K Β· π 38K - 5% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 72K Β· π¦ 320K Β· π 38K - 5% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 15K Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month):
```
pip install tensorflow
```
@@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 75M Β· β 2.2K Β· β±οΈ 26.10.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 75M Β· β 2.2K Β· β±οΈ 09.11.2023):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯54 Β· β 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (π₯53 Β· β 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.4K Β· π 19K Β· π₯ 26K Β· π¦ 330K Β· π 38K - 33% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.5K Β· π 19K Β· π₯ 27K Β· π¦ 340K Β· π 38K - 32% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 14M / month Β· π¦ 11K Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/torch) (π₯ 15M / month):
```
pip install torch
```
@@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯52 Β· β 56K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 25K Β· π₯ 910 Β· π¦ 620K Β· π 11K - 20% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 24K Β· π₯ 910 Β· π¦ 630K Β· π 11K - 15% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 44M / month Β· π¦ 30K Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 44M / month):
```
pip install scikit-learn
```
@@ -151,73 +151,57 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge scikit-learn
```
Keras (π₯46 Β· β 60K) - Deep Learning for humans. Apache-2
+PySpark (π₯45 Β· β 37K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 21 Β· π 12K - 3% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 28K Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/keras-team/keras
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 13M / month Β· π¦ 650 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 27M / month Β· π¦ 1.2K Β· β±οΈ 26.09.2023):
```
- pip install keras
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.3M Β· β±οΈ 28.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 2.9M Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge keras
+ conda install -c conda-forge pyspark
```
jax (π₯46 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+jax (π₯45 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/google/jax) (π¨βπ» 590 Β· π 2.3K Β· π¦ 19K Β· π 4.9K - 31% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 600 Β· π 2.3K Β· π¦ 19K Β· π 5K - 30% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 3.8M / month Β· π¦ 710 Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/jax) (π₯ 12M / month Β· π¦ 730 Β· β±οΈ 02.11.2023):
```
pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 970K Β· β±οΈ 25.10.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 990K Β· β±οΈ 25.10.2023):
```
conda install -c conda-forge jaxlib
```
PySpark (π₯45 Β· β 37K) - Apache Spark Python API. Apache-2
-
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 28K Β· β±οΈ 26.10.2023):
-
- ```
- git clone https://github.com/apache/spark
- ```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 26M / month Β· π¦ 1.2K Β· β±οΈ 26.09.2023):
- ```
- pip install pyspark
- ```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 2.9M Β· β±οΈ 04.10.2023):
- ```
- conda install -c conda-forge pyspark
- ```
-pytorch-lightning (π₯45 Β· β 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 910 Β· π 3K Β· π₯ 13K Β· π¦ 25K Β· π 6.6K - 10% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 910 Β· π 3K Β· π₯ 14K Β· π¦ 26K Β· π 6.6K - 10% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4M / month Β· π¦ 710 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.3M / month Β· π¦ 730 Β· β±οΈ 08.11.2023):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 990K Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1M Β· β±οΈ 12.10.2023):
```
conda install -c conda-forge pytorch-lightning
```
PaddlePaddle (π₯45 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.3K Β· π₯ 15K Β· π¦ 4.2K Β· π 18K - 10% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.4K Β· π₯ 15K Β· π¦ 4.2K Β· π 18K - 10% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/PaddlePaddle/Paddle
@@ -227,30 +211,62 @@ _General-purpose machine learning and deep learning frameworks._
pip install paddlepaddle
```
Keras (π₯44 Β· β 60K) - Deep Learning for humans. Apache-2
+
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 21 Β· π 11K - 1% open Β· β±οΈ 09.11.2023):
+
+ ```
+ git clone https://github.com/keras-team/keras
+ ```
+- [PyPi](https://pypi.org/project/keras) (π₯ 13M / month):
+ ```
+ pip install keras
+ ```
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.3M Β· β±οΈ 27.10.2023):
+ ```
+ conda install -c conda-forge keras
+ ```
+XGBoost (π₯44 Β· β 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 630 Β· π 8.7K Β· π₯ 7.4K Β· π¦ 70K Β· π 5K - 7% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 630 Β· π 8.1K Β· π₯ 7.6K Β· π¦ 71K Β· π 5K - 6% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 12M / month Β· π¦ 1.7K Β· β±οΈ 24.10.2023):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 11M / month):
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.3M Β· β±οΈ 24.10.2023):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.4M Β· β±οΈ 24.10.2023):
```
conda install -c conda-forge xgboost
```
StatsModels (π₯44 Β· β 9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+LightGBM (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 210K Β· π¦ 27K Β· π 3.2K - 9% open Β· β±οΈ 09.11.2023):
+
+ ```
+ git clone https://github.com/microsoft/LightGBM
+ ```
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.8M / month Β· π¦ 810 Β· β±οΈ 12.09.2023):
+ ```
+ pip install lightgbm
+ ```
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.1M Β· β±οΈ 25.10.2023):
+ ```
+ conda install -c conda-forge lightgbm
+ ```
+StatsModels (π₯43 Β· β 9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.8K Β· π₯ 29 Β· π¦ 110K Β· π 5.4K - 49% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.6K Β· π₯ 29 Β· π¦ 110K Β· π 5.2K - 48% open Β· β±οΈ 29.10.2023):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month Β· π¦ 5.4K Β· β±οΈ 05.05.2023):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month):
```
pip install statsmodels
```
@@ -259,80 +275,68 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge statsmodels
```
LightGBM (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+Catboost (π₯41 Β· β 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 200K Β· π¦ 26K Β· π 3.2K - 9% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 190K Β· π¦ 11 Β· π 2.1K - 24% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/microsoft/LightGBM
+ git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.9M / month Β· π¦ 810 Β· β±οΈ 12.09.2023):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month Β· π¦ 340 Β· β±οΈ 19.09.2023):
```
- pip install lightgbm
+ pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.1M Β· β±οΈ 25.10.2023):
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.4M Β· β±οΈ 19.09.2023):
```
- conda install -c conda-forge lightgbm
+ conda install -c conda-forge catboost
```
Fastai (π₯40 Β· β 25K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 15K Β· π 1.8K - 10% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 15K Β· π 1.8K - 10% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 360K / month Β· π¦ 340 Β· β±οΈ 15.10.2023):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 430K / month Β· π¦ 340 Β· β±οΈ 15.10.2023):
```
pip install fastai
```
Jina (π₯40 Β· β 19K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.2K Β· π 1.9K - 0% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.1K Β· π¦ 1.3K Β· π 1.9K - 0% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 89K / month Β· π¦ 16 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/jina) (π₯ 85K / month):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 57K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 58K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 25.10.2023):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 08.11.2023):
```
docker pull jinaai/jina
```
Catboost (π₯39 Β· β 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Flax (π₯39 Β· β 4.9K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 190K Β· π¦ 11 Β· π 2.1K - 23% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 210 Β· π 550 Β· π₯ 50 Β· π¦ 4.9K Β· π 820 - 20% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/catboost/catboost
- ```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month):
- ```
- pip install catboost
- ```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.4M Β· β±οΈ 19.09.2023):
+ git clone https://github.com/google/flax
```
- conda install -c conda-forge catboost
+- [PyPi](https://pypi.org/project/flax) (π₯ 10M / month Β· π¦ 180 Β· β±οΈ 28.10.2023):
```
-PyFlink (π₯38 Β· β 22K) - Apache Flink Python API. Apache-2
-
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 21 Β· β±οΈ 26.10.2023):
-
- ```
- git clone https://github.com/apache/flink
+ pip install flax
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 130K / month Β· π¦ 23 Β· β±οΈ 24.10.2023):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 37K Β· β±οΈ 09.11.2023):
```
- pip install apache-flink
+ conda install -c conda-forge flax
```
MXNet (π₯38 Β· β 21K Β· π€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
@@ -342,7 +346,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/apache/incubator-mxnet
```
-- [PyPi](https://pypi.org/project/mxnet) (π₯ 340K / month Β· π¦ 290 Β· β±οΈ 17.05.2022):
+- [PyPi](https://pypi.org/project/mxnet) (π₯ 350K / month Β· π¦ 290 Β· β±οΈ 17.05.2022):
```
pip install mxnet
```
@@ -351,142 +355,106 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c anaconda mxnet
```
Theano (π₯38 Β· β 9.8K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
+PyFlink (π₯37 Β· β 22K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 14K Β· π 2.8K - 24% open Β· β±οΈ 20.12.2022):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 21 Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/Theano/Theano
- ```
-- [PyPi](https://pypi.org/project/theano) (π₯ 360K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020):
- ```
- pip install theano
+ git clone https://github.com/apache/flink
```
-- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 2.4M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 92K / month Β· π¦ 23 Β· β±οΈ 24.10.2023):
```
- conda install -c conda-forge theano
+ pip install apache-flink
```
ivy (π₯37 Β· β 14K) - The Unified AI Framework. Apache-2
+ivy (π₯36 Β· β 14K) - The Unified AI Framework. Apache-2
-- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.4K Β· π 6K Β· π 17K - 21% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.4K Β· π 6K Β· π 17K - 21% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 1.3K / month Β· π¦ 9 Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 840 / month Β· π¦ 9 Β· β±οΈ 11.10.2023):
```
pip install ivy
```
Flax (π₯37 Β· β 4.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2
+einops (π₯35 Β· β 7.4K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
-- [GitHub](https://github.com/google/flax) (π¨βπ» 210 Β· π 540 Β· π₯ 50 Β· π¦ 4.7K Β· π 830 - 21% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 24 Β· π 310 Β· π¦ 20K Β· π 160 - 19% open Β· β±οΈ 11.10.2023):
```
- git clone https://github.com/google/flax
+ git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 2.1M / month Β· π¦ 170 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/einops) (π₯ 4.9M / month Β· π¦ 680 Β· β±οΈ 01.10.2023):
```
- pip install flax
+ pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 36K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 170K Β· β±οΈ 01.10.2023):
```
- conda install -c conda-forge flax
+ conda install -c conda-forge einops
```
Ignite (π₯36 Β· β 4.4K) - High-level library to help with training and evaluating neural.. BSD-3
+Ignite (π₯35 Β· β 4.4K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 310 Β· π 600 Β· π¦ 2.5K Β· π 1.3K - 11% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 320 Β· π 600 Β· π¦ 2.5K Β· π 1.3K - 11% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 150K / month Β· π¦ 43 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 200K / month Β· π¦ 48 Β· β±οΈ 09.11.2023):
```
pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 160K Β· β±οΈ 19.10.2023):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 170K Β· β±οΈ 19.10.2023):
```
conda install -c pytorch ignite
```
Thinc (π₯36 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
+Thinc (π₯35 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 280 Β· π¦ 38K Β· π 140 - 13% open Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 280 Β· π¦ 39K Β· π 140 - 13% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 6.2M / month Β· π¦ 640 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 6M / month Β· π¦ 640 Β· β±οΈ 22.09.2023):
```
pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 2.6M Β· β±οΈ 25.09.2023):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 2.7M Β· β±οΈ 25.09.2023):
```
conda install -c conda-forge thinc
```
Vowpal Wabbit (π₯35 Β· β 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Vowpal Wabbit (π₯34 Β· β 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 2K Β· π 1.3K - 10% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 1.9K Β· π 1.3K - 9% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 120K / month Β· π¦ 34 Β· β±οΈ 19.07.2023):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 130K / month):
```
pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 130K Β· β±οΈ 08.10.2023):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 140K Β· β±οΈ 08.10.2023):
```
conda install -c conda-forge vowpalwabbit
```
einops (π₯35 Β· β 7.3K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
-
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 24 Β· π 310 Β· π¦ 19K Β· π 150 - 19% open Β· β±οΈ 11.10.2023):
-
- ```
- git clone https://github.com/arogozhnikov/einops
- ```
-- [PyPi](https://pypi.org/project/einops) (π₯ 4.5M / month Β· π¦ 680 Β· β±οΈ 01.10.2023):
- ```
- pip install einops
- ```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 160K Β· β±οΈ 01.10.2023):
- ```
- conda install -c conda-forge einops
- ```
-Ludwig (π₯34 Β· β 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
+Ludwig (π₯33 Β· β 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1.1K Β· π¦ 210 Β· π 1.1K - 31% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 150 Β· π 1.1K Β· π¦ 210 Β· π 990 - 26% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 5.8K / month Β· π¦ 9 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 6.2K / month):
```
pip install ludwig
```
Chainer (π₯34 Β· β 5.8K Β· π€) - A flexible framework of neural networks for deep learning. MIT
-
-- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 330 Β· π 1.4K Β· π¦ 3.1K Β· π 2K - 0% open Β· β±οΈ 17.10.2022):
-
- ```
- git clone https://github.com/chainer/chainer
- ```
-- [PyPi](https://pypi.org/project/chainer) (π₯ 18K / month Β· π¦ 400 Β· β±οΈ 05.01.2022):
- ```
- pip install chainer
- ```
-- [Conda](https://anaconda.org/conda-forge/chainer) (π₯ 16K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge chainer
- ```
-tensorpack (π₯32 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.4K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023):
@@ -503,41 +471,9 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge tensorpack
```
skorch (π₯32 Β· β 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 360 Β· π¦ 970 Β· π 500 - 9% open Β· β±οΈ 07.09.2023):
-
- ```
- git clone https://github.com/skorch-dev/skorch
- ```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 66K / month Β· π¦ 48 Β· β±οΈ 04.09.2023):
- ```
- pip install skorch
- ```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 06.09.2023):
- ```
- conda install -c conda-forge skorch
- ```
-mlpack (π₯32 Β· β 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.5K Β· π 1.6K - 1% open Β· β±οΈ 22.10.2023):
-
- ```
- git clone https://github.com/mlpack/mlpack
- ```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 07.09.2023):
- ```
- pip install mlpack
- ```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 160K Β· β±οΈ 17.06.2023):
- ```
- conda install -c conda-forge mlpack
- ```
-Haiku (π₯32 Β· β 2.6K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 79 Β· π 220 Β· π¦ 1.5K Β· π 280 - 38% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 79 Β· π 220 Β· π¦ 1.6K Β· π 280 - 38% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/deepmind/dm-haiku
@@ -546,31 +482,31 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install dm-haiku
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 13K Β· β±οΈ 14.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 14K Β· β±οΈ 14.07.2023):
```
conda install -c conda-forge dm-haiku
```
EvaDB (π₯32 Β· β 2.4K) - Database system for AI-powered apps. Apache-2
-- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 66 Β· π 210 Β· π₯ 410K Β· π¦ 78 Β· π 270 - 24% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 69 Β· π 210 Β· π₯ 410K Β· π¦ 110 Β· π 280 - 23% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 2.3K / month Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 10K / month):
```
pip install evadb
```
Sonnet (π₯31 Β· β 9.6K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 58 Β· π 1.4K Β· π¦ 1.2K Β· π 190 - 17% open Β· β±οΈ 21.07.2023):
+- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 58 Β· π 1.3K Β· π¦ 1.2K Β· π 190 - 16% open Β· β±οΈ 21.07.2023):
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 14K / month Β· π¦ 52 Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 19K / month):
```
pip install dm-sonnet
```
@@ -579,90 +515,94 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
Determined (π₯30 Β· β 2.5K) - Determined is an open-source machine learning platform.. Apache-2
+skorch (π₯31 Β· β 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 110 Β· π 320 Β· π₯ 7.5K Β· π 430 - 29% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 360 Β· π¦ 990 Β· π 500 - 10% open Β· β±οΈ 29.10.2023):
```
- git clone https://github.com/determined-ai/determined
+ git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 57K / month Β· π¦ 48 Β· β±οΈ 04.09.2023):
```
- pip install determined
+ pip install skorch
+ ```
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 06.09.2023):
+ ```
+ conda install -c conda-forge skorch
```
ktrain (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+dyNET (π₯31 Β· β 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 270 Β· π¦ 460 Β· π 480 - 0% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 670 Β· π₯ 13K Β· π¦ 250 Β· π 930 - 28% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 19K / month Β· π¦ 3 Β· β±οΈ 05.09.2023):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 220K / month):
```
- pip install ktrain
+ pip install dyNET
```
tensorflow-upstream (π₯30 Β· β 660) - TensorFlow ROCm port. Apache-2
+tensorflow-upstream (π₯31 Β· β 660) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.5K Β· π 79 Β· π₯ 21 Β· π 350 - 21% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.5K Β· π 81 Β· π₯ 21 Β· π 370 - 25% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 3.9K / month):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
```
pip install tensorflow-rocm
```
Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
+ktrain (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 93 - 36% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 270 Β· π¦ 470 Β· π 480 - 0% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/sony/nnabla
+ git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 4K / month Β· π¦ 54 Β· β±οΈ 01.05.2022):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 19K / month Β· π¦ 3 Β· β±οΈ 05.09.2023):
```
- pip install nnabla
+ pip install ktrain
```
Geomstats (π₯29 Β· β 1K) - Computations and statistics on manifolds with geometric structures. MIT
+Geomstats (π₯30 Β· β 1K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 84 Β· π 220 Β· π¦ 83 Β· π 540 - 38% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 85 Β· π 220 Β· π¦ 84 Β· π 540 - 38% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 1.6K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 2.2K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 1.8K Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 1.9K Β· β±οΈ 30.08.2023):
```
conda install -c conda-forge geomstats
```
Towhee (π₯27 Β· β 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+Determined (π₯29 Β· β 2.5K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 240 Β· π₯ 2.6K Β· π 640 - 0% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 110 Β· π 320 Β· π₯ 7.6K Β· π 350 - 11% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/towhee-io/towhee
+ git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 8.1K / month):
+- [PyPi](https://pypi.org/project/determined) (π₯ 18K / month):
```
- pip install towhee
+ pip install determined
```
Neural Tangents (π₯27 Β· β 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 27 Β· π 230 Β· π₯ 330 Β· π¦ 83 Β· π 150 - 40% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 27 Β· π 230 Β· π₯ 330 Β· π¦ 85 Β· π 140 - 36% open Β· β±οΈ 30.09.2023):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 24.08.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.2K / month):
```
pip install neural-tangents
```
@@ -674,15 +614,51 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 28K / month Β· π¦ 17 Β· β±οΈ 17.07.2022):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 35K / month Β· π¦ 17 Β· β±οΈ 17.07.2022):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.4K Β· β±οΈ 20.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.5K Β· β±οΈ 20.06.2023):
```
conda install -c conda-forge pyriemann
```
Neural Network Libraries (π₯26 Β· β 2.7K Β· π) - Neural Network Libraries. Apache-2
+
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 93 - 36% open Β· β±οΈ 06.11.2023):
+
+ ```
+ git clone https://github.com/sony/nnabla
+ ```
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 4.5K / month):
+ ```
+ pip install nnabla
+ ```
+Towhee (π₯25 Β· β 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 240 Β· π₯ 2.6K Β· π 650 - 1% open Β· β±οΈ 08.11.2023):
+
+ ```
+ git clone https://github.com/towhee-io/towhee
+ ```
+- [PyPi](https://pypi.org/project/towhee) (π₯ 7.3K / month Β· β±οΈ 14.09.2023):
+ ```
+ pip install towhee
+ ```
+Objax (π₯24 Β· β 740) - Objax is a machine learning framework that provides an Object.. Apache-2
+
+- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 41 Β· π 110 - 45% open Β· β±οΈ 06.11.2023):
+
+ ```
+ git clone https://github.com/google/objax
+ ```
+- [PyPi](https://pypi.org/project/objax) (π₯ 560 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+ ```
+ pip install objax
+ ```
+NeuPy (π₯24 Β· β 740 Β· π€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 8 Β· π 160 Β· π¦ 160 Β· π 270 - 12% open Β· β±οΈ 03.01.2023):
@@ -690,43 +666,43 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/itdxer/neupy
```
-- [PyPi](https://pypi.org/project/neupy) (π₯ 4.4K / month Β· π¦ 13 Β· β±οΈ 04.04.2019):
+- [PyPi](https://pypi.org/project/neupy) (π₯ 2.3K / month):
```
pip install neupy
```
fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 53 Β· π 160 Β· π¦ 13 Β· π 50 - 50% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 55 Β· π 160 Β· π¦ 13 Β· π 60 - 58% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.7K / month):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.1K / month Β· β±οΈ 09.11.2023):
```
pip install fklearn
```
Objax (π₯23 Β· β 740) - Objax is a machine learning framework that provides an Object.. Apache-2
+Torchbearer (π₯22 Β· β 630) - torchbearer: A model fitting library for PyTorch. MIT
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 74 Β· π¦ 41 Β· π 110 - 44% open Β· β±οΈ 12.06.2023):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 84 Β· π 250 - 4% open Β· β±οΈ 07.11.2023):
```
- git clone https://github.com/google/objax
+ git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 440 / month Β· π¦ 5 Β· β±οΈ 31.01.2022):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 250 / month Β· π¦ 4 Β· β±οΈ 31.01.2020):
```
- pip install objax
+ pip install torchbearer
```
NeoML (π₯23 Β· β 740) - Machine learning framework for both deep learning and traditional.. Apache-2
+NeoML (π₯21 Β· β 740) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 83 - 39% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 65 - 23% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 320 / month Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 900 / month):
```
pip install neoml
```
@@ -738,50 +714,51 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 350 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 350 / month):
```
pip install thundersvm
```
chefboost (π₯19 Β· β 420) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 6 Β· π 95 Β· π¦ 48 Β· π 32 - 15% open Β· β±οΈ 01.10.2023):
+- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 6 Β· π 95 Β· π¦ 49 Β· π 32 - 15% open Β· β±οΈ 31.10.2023):
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 380 / month Β· β±οΈ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 390 / month Β· β±οΈ 16.02.2022):
```
pip install chefboost
```
ThunderGBM (π₯17 Β· β 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 11 Β· π 87 Β· π¦ 2 Β· π 78 - 46% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 11 Β· π 82 Β· π¦ 2 Β· π 78 - 46% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 180 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 170 / month):
```
pip install thundergbm
```
Show 15 hidden projects...
+Show 16 hidden projects...
- dlib (π₯40 Β· β 12K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- MindsDB (π₯33 Β· β 19K) - MindsDB connects AI models to real time data. βοΈGPL-3.0 MIT BSD-3
-- dyNET (π₯32 Β· β 3.4K Β· π) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+- Theano (π₯34 Β· β 9.8K Β· π€) - Theano was a Python library that allows you to define,.. βUnlicensed
+- MindsDB (π₯33 Β· β 19K) - MindsDB connects AI models to real time data. βοΈGPL-3.0 BSD-3
+- Chainer (π₯33 Β· β 5.8K Β· π) - A flexible framework of neural networks for deep learning. MIT
+- TFlearn (π₯31 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for.. βUnlicensed MIT
-- NuPIC (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
-- xLearn (π₯26 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
+- mlpack (π₯30 Β· β 4.6K) - mlpack: a fast, header-only C++ machine learning library. βUnlicensed
+- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
+- NuPIC (π₯27 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
- SHOGUN (π₯26 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
-- Lasagne (π₯25 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in.. βUnlicensed
+- xLearn (π₯25 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- mace (π₯22 Β· β 4.8K Β· π) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- Torchbearer (π₯21 Β· β 630 Β· π) - torchbearer: A model fitting library for PyTorch. MIT MIT MIT
Matplotlib (π₯50 Β· β 18K) - matplotlib: plotting with Python. Python-2.0
+Matplotlib (π₯51 Β· β 18K) - matplotlib: plotting with Python. Python-2.0
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7K Β· π¦ 980K Β· π 10K - 14% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7K Β· π¦ 990K Β· π 10K - 14% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 42M / month Β· π¦ 62K Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 44M / month Β· π¦ 63K Β· β±οΈ 01.11.2023):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 21M Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 21M Β· β±οΈ 01.11.2023):
```
conda install -c conda-forge matplotlib
```
Plotly (π₯44 Β· β 14K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 210K Β· π 2.8K - 50% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 210K Β· π 2.7K - 50% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/plotly/plotly.py
@@ -824,19 +801,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 43K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 44K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
Bokeh (π₯43 Β· β 18K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 670 Β· π 4K Β· π¦ 78K Β· π 7.5K - 9% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 680 Β· π 4K Β· π¦ 79K Β· π 7.5K - 9% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.4M / month):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.5M / month):
```
pip install bokeh
```
@@ -847,23 +824,23 @@ _General-purpose and task-specific data visualization libraries._
Seaborn (π₯43 Β· β 11K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.8K Β· π₯ 280 Β· π¦ 320K Β· π 2.4K - 4% open Β· β±οΈ 22.10.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.8K Β· π₯ 290 Β· π¦ 320K Β· π 2.4K - 4% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 12M / month Β· π¦ 11K Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 13M / month Β· π¦ 11K Β· β±οΈ 29.09.2023):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.7M Β· β±οΈ 02.10.2023):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.8M Β· β±οΈ 02.10.2023):
```
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 8.5K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 89 Β· π¦ 82K Β· π 1.9K - 9% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 89 Β· π¦ 85K Β· π 1.9K - 9% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/altair-viz/altair
@@ -879,28 +856,28 @@ _General-purpose and task-specific data visualization libraries._
dash (π₯40 Β· β 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π¦ 53K Β· π 1.6K - 47% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π¦ 54K Β· π 1.6K - 47% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 2.3M / month Β· π¦ 1.4K Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/dash) (π₯ 2.2M / month Β· π¦ 1.4K Β· β±οΈ 26.10.2023):
```
pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.1M Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.1M Β· β±οΈ 27.10.2023):
```
conda install -c conda-forge dash
```
pandas-profiling (π₯37 Β· β 11K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1.6K Β· π 730 - 25% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1.7K Β· π 740 - 25% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 700K / month):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 730K / month Β· π¦ 190 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -911,24 +888,40 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (π₯36 Β· β 14K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.8K Β· π¦ 3.5K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.8K Β· π¦ 3.6K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023):
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 120K / month):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 150K / month Β· π¦ 250 Β· β±οΈ 21.08.2023):
```
pip install pyecharts
```
PyQtGraph (π₯36 Β· β 3.5K Β· π) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 260 Β· π 1K Β· π¦ 8.2K Β· π 1.2K - 29% open Β· β±οΈ 03.11.2023):
+
+ ```
+ git clone https://github.com/pyqtgraph/pyqtgraph
+ ```
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 160K / month Β· π¦ 950 Β· β±οΈ 29.09.2022):
+ ```
+ pip install pyqtgraph
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 490K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge pyqtgraph
+ ```
+VisPy (π₯36 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.3K Β· π 1.4K - 22% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.3K Β· π 1.4K - 22% open Β· β±οΈ 31.10.2023):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 75K / month Β· π¦ 130 Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 120K / month Β· π¦ 130 Β· β±οΈ 03.10.2023):
```
pip install vispy
```
@@ -936,167 +929,131 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 28 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 24 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
Graphviz (π₯36 Β· β 1.5K) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 21 Β· π 200 Β· π¦ 55K Β· π 170 - 5% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 21 Β· π 200 Β· π¦ 56K Β· π 170 - 5% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 7.6M / month Β· π¦ 3.4K Β· β±οΈ 23.07.2022):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 7.8M / month Β· π¦ 3.4K Β· β±οΈ 23.07.2022):
```
pip install graphviz
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 41K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 42K Β· β±οΈ 16.06.2023):
```
conda install -c anaconda python-graphviz
```
plotnine (π₯35 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
+HoloViews (π₯35 Β· β 2.5K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 6K Β· π 580 - 12% open Β· β±οΈ 08.08.2023):
-
- ```
- git clone https://github.com/has2k1/plotnine
- ```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.5M / month):
- ```
- pip install plotnine
- ```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 320K Β· β±οΈ 01.09.2023):
- ```
- conda install -c conda-forge plotnine
- ```
-HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3
-
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 320K / month Β· π¦ 260 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 360K / month Β· π¦ 260 Β· β±οΈ 08.11.2023):
```
pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.4M Β· β±οΈ 19.10.2023):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.4M Β· β±οΈ 08.11.2023):
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 760 / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
```
npm install @pyviz/jupyterlab_pyviz
```
FiftyOne (π₯34 Β· β 5.3K) - Visualize, create, and debug image and video datasets.. Apache-2
+PyVista (π₯35 Β· β 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 96 Β· π 420 Β· π¦ 410 Β· π 1.5K - 34% open Β· β±οΈ 25.10.2023):
-
- ```
- git clone https://github.com/voxel51/fiftyone
- ```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 41K / month Β· π¦ 9 Β· β±οΈ 20.10.2023):
- ```
- pip install fiftyone
- ```
-PyVista (π₯34 Β· β 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 380 Β· π₯ 780 Β· π¦ 2.3K Β· π 1.3K - 28% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 380 Β· π₯ 780 Β· π¦ 2.3K Β· π 1.4K - 28% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 200K / month Β· π¦ 220 Β· β±οΈ 07.10.2023):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 220K / month Β· π¦ 220 Β· β±οΈ 07.10.2023):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 410K Β· β±οΈ 07.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 420K Β· β±οΈ 07.10.2023):
```
conda install -c conda-forge pyvista
```
datashader (π₯33 Β· β 3.1K) - Quickly and accurately render even the largest data. BSD-3
+UMAP (π₯34 Β· β 6.5K Β· π) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 350 Β· π¦ 3.1K Β· π 560 - 21% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 750 Β· π¦ 1 Β· π 760 - 56% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/holoviz/datashader
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 290K / month):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 950K / month Β· π¦ 500 Β· β±οΈ 15.09.2023):
```
- pip install datashader
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 700K Β· β±οΈ 17.08.2023):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.2M Β· β±οΈ 16.09.2023):
```
- conda install -c conda-forge datashader
+ conda install -c conda-forge umap-learn
```
Perspective (π₯31 Β· β 6.8K) - A data visualization and analytics component, especially.. Apache-2
+plotnine (π₯34 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 840 Β· π₯ 1.5K Β· π¦ 100 Β· π 670 - 14% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 6.1K Β· π 590 - 13% open Β· β±οΈ 08.08.2023):
```
- git clone https://github.com/finos/perspective
- ```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 8.6K / month Β· π¦ 13 Β· β±οΈ 21.10.2023):
- ```
- pip install perspective-python
+ git clone https://github.com/has2k1/plotnine
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 470K Β· β±οΈ 21.10.2023):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.6M / month Β· π¦ 260 Β· β±οΈ 06.11.2023):
```
- conda install -c conda-forge perspective
+ pip install plotnine
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 2.4K / month Β· π¦ 3 Β· β±οΈ 21.10.2023):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 320K Β· β±οΈ 06.11.2023):
```
- npm install @finos/perspective-jupyterlab
+ conda install -c conda-forge plotnine
```
D-Tale (π₯31 Β· β 4.3K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+FiftyOne (π₯33 Β· β 5.4K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 360 Β· π¦ 900 Β· π 550 - 9% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 96 Β· π 430 Β· π¦ 420 Β· π 1.5K - 34% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/man-group/dtale
- ```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 100K / month):
- ```
- pip install dtale
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 250K Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 53K / month Β· π¦ 9 Β· β±οΈ 06.11.2023):
```
- conda install -c conda-forge dtale
+ pip install fiftyone
```
hvPlot (π₯31 Β· β 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+datashader (π₯33 Β· β 3.1K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 43 Β· π 86 Β· π¦ 3.8K Β· π 670 - 42% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 360 Β· π¦ 3.1K Β· π 570 - 22% open Β· β±οΈ 27.10.2023):
```
- git clone https://github.com/holoviz/hvplot
+ git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 120K / month):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 300K / month Β· π¦ 120 Β· β±οΈ 31.10.2023):
```
- pip install hvplot
+ pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 490K Β· β±οΈ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 720K Β· β±οΈ 27.10.2023):
```
- conda install -c conda-forge hvplot
+ conda install -c conda-forge datashader
```
wordcloud (π₯30 Β· β 9.7K) - A little word cloud generator in Python. MIT
+wordcloud (π₯32 Β· β 9.7K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 69 Β· π 2.3K Β· π¦ 21 Β· π 500 - 18% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 69 Β· π 2.3K Β· π¦ 21 Β· π 520 - 20% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.4M / month):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.4M / month Β· π¦ 820 Β· β±οΈ 18.05.2023):
```
pip install wordcloud
```
@@ -1105,74 +1062,98 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
UMAP (π₯30 Β· β 6.5K) - Uniform Manifold Approximation and Projection. BSD-3
+Perspective (π₯31 Β· β 6.9K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 720 Β· π¦ 1 Β· π 740 - 55% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 850 Β· π₯ 1.5K Β· π¦ 100 Β· π 680 - 14% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/lmcinnes/umap
+ git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1M / month):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 8.1K / month Β· π¦ 13 Β· β±οΈ 01.11.2023):
```
- pip install umap-learn
+ pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.2M Β· β±οΈ 16.09.2023):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 480K Β· β±οΈ 06.11.2023):
```
- conda install -c conda-forge umap-learn
+ conda install -c conda-forge perspective
+ ```
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 780 / month Β· π¦ 3 Β· β±οΈ 01.11.2023):
+ ```
+ npm install @finos/perspective-jupyterlab
```
lets-plot (π₯30 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
+D-Tale (π₯31 Β· β 4.3K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 48 Β· π₯ 540 Β· π¦ 48 Β· π 440 - 26% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 360 Β· π¦ 920 Β· π 550 - 10% open Β· β±οΈ 23.10.2023):
```
- git clone https://github.com/JetBrains/lets-plot
+ git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 28K / month Β· π¦ 1 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 100K / month Β· π¦ 21 Β· β±οΈ 02.10.2023):
```
- pip install lets-plot
+ pip install dtale
+ ```
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 260K Β· β±οΈ 02.10.2023):
+ ```
+ conda install -c conda-forge dtale
```
Facets Overview (π₯29 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
+hvPlot (π₯31 Β· β 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 200 Β· π 160 - 50% open Β· β±οΈ 24.05.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 43 Β· π 88 Β· π¦ 3.9K Β· π 680 - 42% open Β· β±οΈ 16.10.2023):
```
- git clone https://github.com/pair-code/facets
+ git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 200K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 120K / month Β· π¦ 93 Β· β±οΈ 16.10.2023):
```
- pip install facets-overview
+ pip install hvplot
+ ```
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 500K Β· β±οΈ 16.10.2023):
+ ```
+ conda install -c conda-forge hvplot
+ ```
+lets-plot (π₯30 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
+
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 48 Β· π₯ 550 Β· π¦ 49 Β· π 450 - 24% open Β· β±οΈ 09.11.2023):
+
+ ```
+ git clone https://github.com/JetBrains/lets-plot
+ ```
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 27K / month Β· π¦ 2 Β· β±οΈ 03.11.2023):
+ ```
+ pip install lets-plot
```
bqplot (π₯29 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 450 Β· π¦ 50 Β· π 590 - 37% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 480 Β· π¦ 50 Β· π 620 - 40% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 130K / month):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 140K / month Β· π¦ 100 Β· β±οΈ 17.10.2023):
```
pip install bqplot
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.2M Β· β±οΈ 12.07.2023):
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.2M Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 5.5K / month):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 4.3K / month Β· π¦ 16 Β· β±οΈ 17.10.2023):
```
npm install bqplot
```
Sweetviz (π₯29 Β· β 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT
+Sweetviz (π₯29 Β· β 2.7K) - Visualize and compare datasets, target values and associations, with one.. MIT
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.8K Β· π 120 - 28% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.8K Β· π 130 - 33% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 70K / month):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 69K / month Β· π¦ 12 Β· β±οΈ 26.08.2023):
```
pip install sweetviz
```
@@ -1188,7 +1169,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 290K / month Β· π¦ 410 Β· β±οΈ 10.12.2022):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 310K / month Β· π¦ 410 Β· β±οΈ 10.12.2022):
```
pip install mpld3
```
@@ -1196,31 +1177,43 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 510 / month Β· π¦ 8 Β· β±οΈ 10.12.2022):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 360 / month Β· π¦ 8 Β· β±οΈ 10.12.2022):
```
npm install mpld3
```
data-validation (π₯29 Β· β 730) - Library for exploring and validating machine learning.. Apache-2
+data-validation (π₯29 Β· β 740) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 25 Β· π 150 Β· π₯ 470 Β· π¦ 750 Β· π 180 - 20% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 25 Β· π 150 Β· π₯ 470 Β· π¦ 760 Β· π 180 - 20% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 380K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 300K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
```
pip install tensorflow-data-validation
```
Facets Overview (π₯28 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
+
+- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 200 Β· π 160 - 50% open Β· β±οΈ 24.05.2023):
+
+ ```
+ git clone https://github.com/pair-code/facets
+ ```
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 210K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
+ ```
+ pip install facets-overview
+ ```
+missingno (π₯28 Β· β 3.7K Β· π€) - Missing data visualization module for Python. MIT
-- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 440 Β· π¦ 13K Β· π 130 - 6% open Β· β±οΈ 26.02.2023):
+- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 460 Β· π¦ 14K Β· π 130 - 6% open Β· β±οΈ 26.02.2023):
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 380K / month):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 420K / month Β· π¦ 140 Β· β±οΈ 27.02.2022):
```
pip install missingno
```
@@ -1236,7 +1229,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 61K / month Β· π¦ 56 Β· β±οΈ 20.02.2023):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 63K / month Β· π¦ 56 Β· β±οΈ 20.02.2023):
```
pip install pythreejs
```
@@ -1244,43 +1237,27 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge pythreejs
```
-- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.8K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
+- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.6K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
```
npm install jupyter-threejs
```
AutoViz (π₯26 Β· β 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 560 Β· π 80 - 5% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 570 Β· π 82 - 3% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 420K / month):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 550K / month):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 43K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 44K Β· β±οΈ 21.07.2023):
```
conda install -c conda-forge autoviz
```
openTSNE (π₯26 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3
-
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 140 Β· π¦ 670 Β· π 130 - 1% open Β· β±οΈ 21.08.2023):
-
- ```
- git clone https://github.com/pavlin-policar/openTSNE
- ```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 25K / month):
- ```
- pip install opentsne
- ```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 230K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge opentsne
- ```
-Chartify (π₯25 Β· β 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2
- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 310 Β· π¦ 73 Β· π 80 - 60% open Β· β±οΈ 12.10.2023):
@@ -1288,7 +1265,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 2.9K / month Β· π¦ 10 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 3.5K / month Β· π¦ 10 Β· β±οΈ 12.10.2023):
```
pip install chartify
```
@@ -1299,12 +1276,12 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (π₯25 Β· β 2.6K) - HiPlot makes understanding high dimensional data easy. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 340 Β· π 88 - 17% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 340 Β· π 92 - 20% open Β· β±οΈ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 25K / month):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 24K / month Β· π¦ 15 Β· β±οΈ 05.07.2022):
```
pip install hiplot
```
@@ -1320,7 +1297,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 31K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 26K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
```
pip install MulticoreTSNE
```
@@ -1329,42 +1306,74 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge multicore-tsne
```
Plotly-Resampler (π₯25 Β· β 830) - Visualize large time series data with plotly.py. MIT
+Plotly-Resampler (π₯25 Β· β 840) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 54 Β· π¦ 630 Β· π 140 - 28% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 56 Β· π¦ 670 Β· π 140 - 29% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 340K / month Β· π¦ 5 Β· β±οΈ 29.06.2022):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 340K / month Β· π¦ 10 Β· β±οΈ 08.11.2023):
```
pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 30K Β· β±οΈ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 31K Β· β±οΈ 11.08.2023):
```
conda install -c conda-forge plotly-resampler
```
Pandas-Bokeh (π₯24 Β· β 860 Β· π€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+openTSNE (π₯24 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3
+
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 150 Β· π¦ 680 Β· π 130 - 1% open Β· β±οΈ 21.08.2023):
+
+ ```
+ git clone https://github.com/pavlin-policar/openTSNE
+ ```
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 24K / month Β· π¦ 15 Β· β±οΈ 18.03.2022):
+ ```
+ pip install opentsne
+ ```
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 230K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge opentsne
+ ```
+vega (π₯24 Β· β 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 15 Β· π 110 Β· π¦ 530 Β· π 100 - 33% open Β· β±οΈ 06.03.2023):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 62 Β· π¦ 2 Β· π 100 - 12% open Β· β±οΈ 01.11.2023):
+
+ ```
+ git clone https://github.com/vega/ipyvega
+ ```
+- [PyPi](https://pypi.org/project/vega) (π₯ 19K / month Β· π¦ 83 Β· β±οΈ 10.02.2022):
+ ```
+ pip install vega
+ ```
+- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 570K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge vega
+ ```
+Pandas-Bokeh (π₯23 Β· β 870 Β· π€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+
+- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 15 Β· π 110 Β· π¦ 540 Β· π 100 - 33% open Β· β±οΈ 06.03.2023):
```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 21K / month Β· π¦ 12 Β· β±οΈ 11.04.2021):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 20K / month Β· π¦ 12 Β· β±οΈ 11.04.2021):
```
pip install pandas-bokeh
```
python-ternary (π₯23 Β· β 650) - Ternary plotting library for python with matplotlib. MIT
+python-ternary (π₯23 Β· β 660) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 150 Β· π₯ 25 Β· π¦ 150 Β· π 130 - 21% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 160 Β· π₯ 25 Β· π¦ 150 Β· π 140 - 25% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 36K / month):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 35K / month Β· π¦ 24 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
@@ -1373,14 +1382,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge python-ternary
```
PDPbox (π₯21 Β· β 780) - python partial dependence plot toolbox. MIT
+PDPbox (π₯21 Β· β 790) - python partial dependence plot toolbox. MIT
- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 130 Β· π 65 - 40% open Β· β±οΈ 05.06.2023):
```
git clone https://github.com/SauceCat/PDPbox
```
-- [PyPi](https://pypi.org/project/pdpbox) (π₯ 25K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
+- [PyPi](https://pypi.org/project/pdpbox) (π₯ 24K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
```
pip install pdpbox
```
@@ -1389,62 +1398,45 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pdpbox
```
Popmon (π₯21 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
+Popmon (π₯20 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 120 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023):
```
git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 7.5K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/popmon) (π₯ 6.3K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
```
pip install popmon
```
vega (π₯21 Β· β 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 60 Β· π¦ 2 Β· π 100 - 10% open Β· β±οΈ 01.10.2023):
-
- ```
- git clone https://github.com/vega/ipyvega
- ```
-- [PyPi](https://pypi.org/project/vega) (π₯ 16K / month):
- ```
- pip install vega
- ```
-- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 570K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge vega
- ```
-ivis (π₯18 Β· β 300 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (π₯20 Β· β 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 40 Β· π¦ 30 Β· π 59 - 5% open Β· β±οΈ 11.01.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 41 Β· π¦ 31 Β· π 59 - 5% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 180 / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 200 / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
```
pip install ivis
```
Show 14 hidden projects...
+Show 13 hidden projects...
- cartopy (π₯34 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. βοΈLGPL-3.0
-- PyQtGraph (π₯32 Β· β 3.4K Β· π) - Fast data visualization and GUI tools for scientific /.. βUnlicensed
-- Cufflinks (π₯27 Β· β 2.9K Β· π) - Productivity Tools for Plotly + Pandas. MIT MIT
-- PandasGUI (π₯23 Β· β 3K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
+- PandasGUI (π₯24 Β· β 3.1K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
-- vegafusion (π₯20 Β· β 270) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- PyWaffle (π₯19 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
+- joypy (π₯21 Β· β 500 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
+- PyWaffle (π₯20 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
+- vegafusion (π₯20 Β· β 280) - Serverside scaling for Vega and Altair visualizations. BSD-3
- animatplot (π₯18 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
+- data-describe (π₯17 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- nx-altair (π₯16 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT βUnlicensed
-- nptsne (π₯10 Β· β 31 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
+- nptsne (π₯12 Β· β 31 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1456,51 +1448,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯50 Β· β 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.2K Β· π 22K Β· π₯ 140 Β· π¦ 110K Β· π 13K - 5% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.2K Β· π 22K Β· π₯ 140 Β· π¦ 110K Β· π 13K - 5% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 18M / month Β· π¦ 2.4K Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 18M / month):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.4M Β· β±οΈ 19.10.2023):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.4M Β· β±οΈ 03.11.2023):
```
conda install -c conda-forge transformers
```
spaCy (π₯44 Β· β 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+spaCy (π₯44 Β· β 28K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.2K Β· π¦ 72K Β· π 5.5K - 1% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.1K Β· π¦ 73K Β· π 5.5K - 1% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 7.1M / month Β· π¦ 2.8K Β· β±οΈ 16.10.2023):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 6.9M / month):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 3.3M Β· β±οΈ 10.10.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 3.3M Β· β±οΈ 05.11.2023):
```
conda install -c conda-forge spacy
```
Rasa (π₯41 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.4K Β· π¦ 3.7K Β· π 6.8K - 1% open Β· β±οΈ 23.10.2023):
-
- ```
- git clone https://github.com/RasaHQ/rasa
- ```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 120K / month Β· π¦ 66 Β· β±οΈ 23.10.2023):
- ```
- pip install rasa
- ```
-gensim (π₯41 Β· β 15K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.1K Β· π₯ 4.5K Β· π¦ 51K Β· π 1.8K - 20% open Β· β±οΈ 01.10.2023):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.1K Β· π₯ 4.5K Β· π¦ 52K Β· π 1.8K - 20% open Β· β±οΈ 01.10.2023):
```
git clone https://github.com/RaRe-Technologies/gensim
@@ -1514,41 +1494,53 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
nltk (π₯40 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+nltk (π₯41 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.7K Β· π¦ 230K Β· π 1.7K - 14% open Β· β±οΈ 28.09.2023):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.7K Β· π¦ 230K Β· π 1.7K - 14% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 13M / month):
```
pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.3M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.3M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge nltk
+ ```
+Rasa (π₯40 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.3K Β· π¦ 3.8K Β· π 6.6K - 0% open Β· β±οΈ 23.10.2023):
+
+ ```
+ git clone https://github.com/RasaHQ/rasa
+ ```
+- [PyPi](https://pypi.org/project/rasa) (π₯ 130K / month):
```
- conda install -c conda-forge nltk
+ pip install rasa
```
flair (π₯38 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
+flair (π₯39 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.8K Β· π 2.2K - 3% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.8K Β· π 2.2K - 2% open Β· β±οΈ 30.10.2023):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 89K / month Β· π¦ 87 Β· β±οΈ 20.05.2022):
+- [PyPi](https://pypi.org/project/flair) (π₯ 120K / month Β· π¦ 90 Β· β±οΈ 28.10.2023):
```
pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 21K Β· β±οΈ 23.07.2023):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 22K Β· β±οΈ 23.07.2023):
```
conda install -c conda-forge python-flair
```
Tokenizers (π₯38 Β· β 7.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯38 Β· β 7.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 80 Β· π 630 Β· π₯ 33 Β· π¦ 46K Β· π 840 - 30% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 81 Β· π 630 Β· π₯ 33 Β· π¦ 48K Β· π 840 - 31% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/huggingface/tokenizers
@@ -1557,63 +1549,63 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.3M Β· β±οΈ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.4M Β· β±οΈ 16.10.2023):
```
conda install -c conda-forge tokenizers
```
haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+haystack (π₯37 Β· β 12K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 210 Β· π 1.4K Β· π₯ 23 Β· π¦ 980 Β· π 2.7K - 18% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 220 Β· π 1.5K Β· π₯ 23 Β· π¦ 1K Β· π 2.7K - 18% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 2.3K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 2.4K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
```
pip install haystack
```
fairseq (π₯36 Β· β 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.1K Β· π₯ 320 Β· π¦ 2.2K Β· π 4.1K - 26% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 5.9K Β· π₯ 320 Β· π¦ 2.3K Β· π 4K - 25% open Β· β±οΈ 10.10.2023):
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 440K / month Β· π¦ 64 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 400K / month):
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 53K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 55K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge fairseq
```
sentence-transformers (π₯36 Β· β 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 120 Β· π 2.1K Β· π¦ 17K Β· π 1.8K - 56% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 120 Β· π 2.1K Β· π¦ 18K Β· π 1.8K - 56% open Β· β±οΈ 20.09.2023):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 3.1M / month Β· π¦ 420 Β· β±οΈ 26.06.2022):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 3M / month Β· π¦ 420 Β· β±οΈ 26.06.2022):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 170K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 180K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sentence-transformers
```
NeMo (π₯36 Β· β 8.3K) - NeMo: a toolkit for conversational AI. Apache-2
+NeMo (π₯36 Β· β 8.4K) - NeMo: a toolkit for conversational AI. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 260 Β· π 1.9K Β· π₯ 86K Β· π¦ 21 Β· π 1.9K - 4% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 260 Β· π 1.8K Β· π₯ 92K Β· π¦ 21 Β· π 1.8K - 2% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 39K / month Β· π¦ 10 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 39K / month):
```
pip install nemo-toolkit
```
@@ -1625,153 +1617,153 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 3.8M / month Β· π¦ 29 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 3.8M / month Β· π¦ 30 Β· β±οΈ 26.10.2023):
```
pip install spark-nlp
```
AllenNLP (π₯35 Β· β 12K Β· π€) - An open-source NLP research library, built on PyTorch. Apache-2
+sentencepiece (π₯35 Β· β 8.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 260 Β· π 2.3K Β· π₯ 61 Β· π¦ 3.8K Β· π 2.6K - 3% open Β· β±οΈ 22.11.2022):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 1K Β· π₯ 31K Β· π¦ 46K Β· π 670 - 4% open Β· β±οΈ 05.08.2023):
```
- git clone https://github.com/allenai/allennlp
+ git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/allennlp) (π₯ 46K / month Β· π¦ 190 Β· β±οΈ 18.10.2022):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 10M / month Β· π¦ 810 Β· β±οΈ 02.05.2023):
```
- pip install allennlp
+ pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/allennlp) (π₯ 120K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 670K Β· β±οΈ 02.11.2023):
```
- conda install -c conda-forge allennlp
+ conda install -c conda-forge sentencepiece
```
ParlAI (π₯35 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. MIT
+stanza (π₯35 Β· β 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 220 Β· π 1.5K - 3% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 64 Β· π 890 Β· π¦ 2.2K Β· π 830 - 9% open Β· β±οΈ 06.10.2023):
```
- git clone https://github.com/facebookresearch/ParlAI
+ git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 1.9K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 150K / month Β· π¦ 92 Β· β±οΈ 06.10.2023):
```
- pip install parlai
+ pip install stanza
+ ```
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.2K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c stanfordnlp stanza
```
TextBlob (π₯35 Β· β 8.7K Β· π€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
+TensorFlow Text (π₯35 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 33K Β· π 260 - 39% open Β· β±οΈ 11.03.2023):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 300 Β· π¦ 6K Β· π 310 - 47% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/sloria/TextBlob
- ```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 600K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021):
- ```
- pip install textblob
+ git clone https://github.com/tensorflow/text
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 240K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.7M / month Β· π¦ 130 Β· β±οΈ 26.10.2023):
```
- conda install -c conda-forge textblob
+ pip install tensorflow-text
```
sentencepiece (π₯35 Β· β 8.4K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+fastText (π₯34 Β· β 25K) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 1K Β· π₯ 31K Β· π¦ 44K Β· π 660 - 4% open Β· β±οΈ 05.08.2023):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 65 Β· π 4.5K Β· π¦ 5.2K Β· π 1.1K - 42% open Β· β±οΈ 04.10.2023):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/facebookresearch/fastText
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 9.7M / month Β· π¦ 810 Β· β±οΈ 02.05.2023):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.3M / month):
```
- pip install sentencepiece
+ pip install fasttext
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 650K Β· β±οΈ 08.10.2023):
+- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 67K Β· β±οΈ 26.09.2023):
```
- conda install -c conda-forge sentencepiece
+ conda install -c conda-forge fasttext
```
stanza (π₯35 Β· β 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+AllenNLP (π₯34 Β· β 12K Β· π€) - An open-source NLP research library, built on PyTorch. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 64 Β· π 890 Β· π¦ 2.2K Β· π 820 - 9% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 260 Β· π 2.2K Β· π₯ 61 Β· π¦ 3.8K Β· π 2.6K - 3% open Β· β±οΈ 22.11.2022):
```
- git clone https://github.com/stanfordnlp/stanza
+ git clone https://github.com/allenai/allennlp
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 140K / month Β· π¦ 91 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/allennlp) (π₯ 52K / month):
```
- pip install stanza
+ pip install allennlp
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.2K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/allennlp) (π₯ 120K Β· β±οΈ 16.06.2023):
```
- conda install -c stanfordnlp stanza
+ conda install -c conda-forge allennlp
```
fastText (π₯34 Β· β 25K) - Library for fast text representation and classification. MIT
+TextBlob (π₯34 Β· β 8.8K Β· π€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 64 Β· π 4.6K Β· π¦ 5.1K Β· π 1.2K - 47% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 34K Β· π 260 - 39% open Β· β±οΈ 11.03.2023):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.3M / month Β· π¦ 220 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 580K / month):
```
- pip install fasttext
+ pip install textblob
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 66K Β· β±οΈ 26.09.2023):
+- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 240K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge fasttext
+ conda install -c conda-forge textblob
```
OpenNMT (π₯34 Β· β 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 230 Β· π 1.4K - 1% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.1K Β· π¦ 230 Β· π 1.4K - 1% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 6.3K / month Β· π¦ 10 Β· β±οΈ 20.10.2023):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 4.7K / month):
```
pip install OpenNMT-py
```
rubrix (π₯34 Β· β 2.6K) - Argilla: the open-source feedback platform for LLMs. Apache-2
+litellm (π₯34 Β· β 2.7K Β· π£) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 68 Β· π 240 Β· π¦ 2K Β· π 1.6K - 14% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 52 Β· π 220 Β· π¦ 370 Β· π 660 - 14% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/recognai/rubrix
- ```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 220 / month Β· β±οΈ 24.10.2022):
- ```
- pip install rubrix
+ git clone https://github.com/BerriAI/litellm
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 27K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 160K / month Β· π¦ 31 Β· β±οΈ 08.11.2023):
```
- conda install -c conda-forge rubrix
+ pip install litellm
```
litellm (π₯34 Β· β 2.4K Β· π£) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
+rubrix (π₯34 Β· β 2.6K) - Argilla: the open-source feedback platform for LLMs. Apache-2
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 46 Β· π 190 Β· π¦ 290 Β· π 590 - 20% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 72 Β· π 250 Β· π¦ 2K Β· π 1.6K - 12% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/BerriAI/litellm
+ git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 150K / month Β· π¦ 28 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 380 / month Β· β±οΈ 24.10.2022):
```
- pip install litellm
+ pip install rubrix
+ ```
+- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 28K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge rubrix
```
TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+ParlAI (π₯33 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 300 Β· π¦ 5.9K Β· π 230 - 29% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2K Β· π¦ 21 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.1M / month):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 3.7K / month):
```
- pip install tensorflow-text
+ pip install parlai
```
DeepPavlov (π₯33 Β· β 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2
@@ -1781,158 +1773,154 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8.1K / month Β· π¦ 6 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8.6K / month):
```
pip install deeppavlov
```
snowballstemmer (π₯33 Β· β 690) - Snowball compiler and stemming algorithms. BSD-3
-
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 4 Β· π 87 - 35% open Β· β±οΈ 23.10.2023):
-
- ```
- git clone https://github.com/snowballstem/snowball
- ```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 11M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021):
- ```
- pip install snowballstemmer
- ```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.4M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge snowballstemmer
- ```
-jellyfish (π₯31 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
+jellyfish (π₯33 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 7.2K Β· π 130 - 6% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 7.3K Β· π 130 - 8% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.2M / month):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.4M / month Β· π¦ 450 Β· β±οΈ 18.09.2023):
```
pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 730K Β· β±οΈ 25.09.2023):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 740K Β· β±οΈ 25.09.2023):
```
conda install -c conda-forge jellyfish
```
SciSpacy (π₯31 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+snowballstemmer (π₯33 Β· β 690) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 32 Β· π 200 Β· π¦ 770 Β· π 300 - 10% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 4 Β· π 89 - 34% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/allenai/scispacy
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 60K / month Β· π¦ 30 Β· β±οΈ 30.09.2023):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 11M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021):
```
- pip install scispacy
+ pip install snowballstemmer
+ ```
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.4M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge snowballstemmer
```
spacy-transformers (π₯31 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+Dedupe (π₯30 Β· β 3.9K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.3K Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 300 Β· π 800 - 9% open Β· β±οΈ 17.02.2023):
```
- git clone https://github.com/explosion/spacy-transformers
+ git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 360K / month Β· π¦ 42 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 77K / month Β· π¦ 49 Β· β±οΈ 17.02.2023):
```
- pip install spacy-transformers
+ pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 23K Β· β±οΈ 13.10.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 41K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge spacy-transformers
+ conda install -c conda-forge dedupe
```
TextDistance (π₯30 Β· β 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 240 Β· π₯ 920 Β· π¦ 5K Β· β±οΈ 28.09.2023):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 240 Β· π₯ 940 Β· π¦ 5.1K Β· β±οΈ 28.09.2023):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 390K / month):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 400K / month):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 480K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 490K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge textdistance
```
GluonNLP (π₯30 Β· β 2.5K Β· π€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 86 Β· π 520 Β· π¦ 1.4K Β· π 560 - 46% open Β· β±οΈ 25.12.2022):
+- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 86 Β· π 500 Β· π¦ 1.4K Β· π 530 - 44% open Β· β±οΈ 25.12.2022):
```
git clone https://github.com/dmlc/gluon-nlp
```
-- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 85K / month Β· π¦ 22 Β· β±οΈ 13.08.2020):
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 91K / month):
```
pip install gluonnlp
```
ftfy (π₯29 Β· β 3.6K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+SciSpacy (π₯30 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 32 Β· π 200 Β· π¦ 780 Β· π 300 - 8% open Β· β±οΈ 20.10.2023):
+
+ ```
+ git clone https://github.com/allenai/scispacy
+ ```
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 51K / month):
+ ```
+ pip install scispacy
+ ```
+spacy-transformers (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 14K Β· π 140 - 11% open Β· β±οΈ 25.10.2022):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 150 Β· π¦ 1.3K Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 2.9M / month Β· π¦ 610 Β· β±οΈ 09.02.2022):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 290K / month):
```
- pip install ftfy
+ pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 270K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 24K Β· β±οΈ 09.11.2023):
```
- conda install -c conda-forge ftfy
+ conda install -c conda-forge spacy-transformers
```
torchtext (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3
+torchtext (π₯29 Β· β 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 770 Β· π 770 - 33% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 780 Β· π 770 - 33% open Β· β±οΈ 16.10.2023):
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 370K / month):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 410K / month):
```
pip install torchtext
```
PyTextRank (π₯29 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+CLTK (π₯29 Β· β 810) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 360 Β· π¦ 490 Β· π 98 - 7% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 44 Β· π¦ 250 Β· π 560 - 6% open Β· β±οΈ 04.11.2023):
```
- git clone https://github.com/DerwenAI/pytextrank
+ git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 65K / month Β· π¦ 17 Β· β±οΈ 07.08.2023):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1.9K / month Β· π¦ 42 Β· β±οΈ 04.11.2023):
```
- pip install pytextrank
+ pip install cltk
```
Dedupe (π₯28 Β· β 3.8K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
+english-words (π₯28 Β· β 9.5K Β· π€) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 510 Β· π¦ 300 Β· π 800 - 8% open Β· β±οΈ 17.02.2023):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 30 Β· π 1.7K Β· π¦ 2 Β· π 130 - 73% open Β· β±οΈ 08.11.2022):
```
- git clone https://github.com/dedupeio/dedupe
- ```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 74K / month):
- ```
- pip install dedupe
+ git clone https://github.com/dwyl/english-words
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 40K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 560K / month Β· π¦ 8 Β· β±οΈ 06.01.2023):
```
- conda install -c conda-forge dedupe
+ pip install english-words
```
Sumy (π₯28 Β· β 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 28 Β· π 510 Β· π¦ 2.2K Β· π 120 - 14% open Β· β±οΈ 11.08.2023):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 28 Β· π 510 Β· π¦ 2.3K Β· π 120 - 13% open Β· β±οΈ 11.08.2023):
```
git clone https://github.com/miso-belica/sumy
@@ -1941,63 +1929,63 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 6.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sumy
```
DeepKE (π₯28 Β· β 2.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
+DeepKE (π₯28 Β· β 2.5K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 560 Β· π¦ 19 Β· π 330 - 0% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 570 Β· π¦ 19 Β· π 330 - 0% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 500 / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 700 / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
qdrant (π₯27 Β· β 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
+PyTextRank (π₯28 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 70 Β· π 750 Β· π₯ 1.9K Β· π 760 - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 310 Β· π¦ 500 Β· π 98 - 7% open Β· β±οΈ 22.08.2023):
```
- git clone https://github.com/qdrant/qdrant
+ git clone https://github.com/DerwenAI/pytextrank
+ ```
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 64K / month):
+ ```
+ pip install pytextrank
```
fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+qdrant (π₯27 Β· β 14K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 460 Β· π₯ 75 Β· π¦ 160 Β· π 220 - 28% open Β· β±οΈ 13.12.2022):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 70 Β· π 790 Β· π₯ 2.9K Β· π 780 - 18% open Β· β±οΈ 27.10.2023):
```
- git clone https://github.com/fastnlp/fastNLP
- ```
-- [PyPi](https://pypi.org/project/fastnlp) (π₯ 22K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
- ```
- pip install fastnlp
+ git clone https://github.com/qdrant/qdrant
```
CLTK (π₯27 Β· β 800 Β· π€) - The Classical Language Toolkit. MIT
+fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 42 Β· π¦ 250 Β· π 560 - 7% open Β· β±οΈ 06.03.2023):
+- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 460 Β· π₯ 75 Β· π¦ 160 Β· π 220 - 28% open Β· β±οΈ 13.12.2022):
```
- git clone https://github.com/cltk/cltk
+ git clone https://github.com/fastnlp/fastNLP
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1.8K / month):
+- [PyPi](https://pypi.org/project/fastnlp) (π₯ 26K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
```
- pip install cltk
+ pip install fastnlp
```
Ciphey (π₯26 Β· β 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 860 Β· π 310 - 15% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 870 Β· π 310 - 15% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 49K / month):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 53K / month):
```
pip install ciphey
```
@@ -2006,50 +1994,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
happy-transformer (π₯26 Β· β 470) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 60 Β· π¦ 200 Β· π 130 - 14% open Β· β±οΈ 10.08.2023):
-
- ```
- git clone https://github.com/EricFillion/happy-transformer
- ```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
- ```
- pip install happytransformer
- ```
-PyText (π₯25 Β· β 6.4K Β· π€) - A natural language modeling framework based on PyTorch. BSD-3
-
-- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 230 Β· π 820 Β· π₯ 350 Β· π¦ 21 Β· π 220 - 66% open Β· β±οΈ 17.10.2022):
-
- ```
- git clone https://github.com/facebookresearch/pytext
- ```
-- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 150 / month Β· π¦ 1 Β· β±οΈ 08.06.2020):
- ```
- pip install pytext-nlp
- ```
-OpenPrompt (π₯25 Β· β 3.8K) - An Open-Source Framework for Prompt-Learning. Apache-2
+OpenPrompt (π₯25 Β· β 3.9K) - An Open-Source Framework for Prompt-Learning. Apache-2
-- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 80 Β· π 240 - 28% open Β· β±οΈ 06.05.2023):
+- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 86 Β· π 240 - 29% open Β· β±οΈ 06.05.2023):
```
git clone https://github.com/thunlp/OpenPrompt
```
-- [PyPi](https://pypi.org/project/openprompt) (π₯ 2.1K / month):
+- [PyPi](https://pypi.org/project/openprompt) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 06.07.2022):
```
pip install openprompt
```
promptsource (π₯25 Β· β 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 290 Β· π¦ 63 Β· π 200 - 24% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 290 Β· π¦ 68 Β· π 200 - 24% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 3K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
```
pip install promptsource
```
@@ -2061,7 +2025,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 9.6K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 11K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
```
pip install scattertext
```
@@ -2070,14 +2034,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge scattertext
```
sense2vec (π₯25 Β· β 1.5K) - Contextually-keyed word vectors. MIT
+sense2vec (π₯25 Β· β 1.5K Β· π€) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 59K Β· π¦ 290 Β· π 110 - 19% open Β· β±οΈ 20.04.2023):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 60K Β· π¦ 300 Β· π 110 - 19% open Β· β±οΈ 20.04.2023):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.1K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
pip install sense2vec
```
@@ -2086,28 +2050,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sense2vec
```
english-words (π₯24 Β· β 9.4K Β· π€) - A text file containing 479k English words for all your.. Unlicense
-
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 30 Β· π 1.7K Β· π¦ 2 Β· π 110 - 69% open Β· β±οΈ 08.11.2022):
-
- ```
- git clone https://github.com/dwyl/english-words
- ```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 610K / month):
- ```
- pip install english-words
- ```
-Texthero (π₯24 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
+T5 (π₯24 Β· β 5.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 230 Β· π₯ 120 Β· π 140 - 55% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 57 Β· π 730 Β· π 450 - 23% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/jbesomi/texthero
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 01.07.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 56K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
- pip install texthero
+ pip install t5
```
pytorch-nlp (π₯24 Β· β 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
@@ -2117,154 +2069,166 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4.3K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4.4K / month):
```
pip install pytorch-nlp
```
T5 (π₯23 Β· β 5.5K) - 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) (π¨βπ» 57 Β· π 720 Β· π 400 - 14% open Β· β±οΈ 25.10.2023):
-
- ```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
- ```
-- [PyPi](https://pypi.org/project/t5) (π₯ 24K / month):
- ```
- pip install t5
- ```
-YouTokenToMe (π₯23 Β· β 910 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
+YouTokenToMe (π₯23 Β· β 920 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 78 Β· π¦ 540 Β· π 59 - 54% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 78 Β· π¦ 550 Β· π 63 - 57% open Β· β±οΈ 29.03.2023):
```
git clone https://github.com/vkcom/youtokentome
```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 35K / month):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 35K / month Β· π¦ 23 Β· β±οΈ 12.02.2020):
```
pip install youtokentome
```
-- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 38K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 39K Β· β±οΈ 27.09.2023):
```
conda install -c conda-forge youtokentome
```
detoxify (π₯23 Β· β 730) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+detoxify (π₯23 Β· β 740) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 96 Β· π₯ 300K Β· π¦ 420 Β· π 57 - 57% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 98 Β· π₯ 310K Β· π¦ 440 Β· π 58 - 58% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 26K / month Β· π¦ 10 Β· β±οΈ 19.12.2022):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 25K / month Β· π¦ 10 Β· β±οΈ 19.12.2022):
```
pip install detoxify
```
finetune (π₯23 Β· β 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
+happy-transformer (π₯23 Β· β 480 Β· π) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 21 Β· π 77 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 61 Β· π¦ 200 Β· π 130 - 14% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 220 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.5K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
- pip install finetune
+ pip install happytransformer
```
fast-bert (π₯22 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+Texthero (π₯22 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 340 Β· π 250 - 62% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 240 Β· π₯ 120 Β· π 120 - 46% open Β· β±οΈ 29.08.2023):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 27.07.2023):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 12K / month):
```
- pip install fast-bert
+ pip install texthero
```
jiant (π₯22 Β· β 1.6K Β· π€) - jiant is an nlp toolkit. MIT
+Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/nyu-mll/jiant) (π¨βπ» 60 Β· π 290 Β· π¦ 3 Β· π 550 - 12% open Β· β±οΈ 17.10.2022):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 310 Β· π₯ 17 Β· π 300 - 1% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/nyu-mll/jiant
+ git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/jiant) (π₯ 63 / month):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 800 / month):
```
- pip install jiant
+ pip install sockeye
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+finetune (π₯21 Β· β 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 17 Β· π 300 - 1% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 21 Β· π 77 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 420 / month Β· π¦ 2 Β· β±οΈ 12.06.2017):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 86 / month):
```
- pip install sockeye
+ pip install finetune
```
small-text (π₯21 Β· β 500) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 52 Β· π¦ 23 Β· π 42 - 26% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 53 Β· π¦ 23 Β· π 42 - 26% open Β· β±οΈ 19.08.2023):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 380 / month Β· β±οΈ 19.08.2023):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 430 / month Β· β±οΈ 19.08.2023):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.6K Β· β±οΈ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.8K Β· β±οΈ 19.08.2023):
```
conda install -c conda-forge small-text
```
lightseq (π₯20 Β· β 3K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
+
+- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 17 Β· π 310 Β· π₯ 670 Β· π 280 - 61% open Β· β±οΈ 10.05.2023):
+
+ ```
+ git clone https://github.com/bytedance/lightseq
+ ```
+- [PyPi](https://pypi.org/project/lightseq) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
+ ```
+ pip install lightseq
+ ```
+NLP Architect (π₯20 Β· β 2.9K Β· π€) - A model library for exploring state-of-the-art deep.. Apache-2
-- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 440 Β· π¦ 9 Β· π 130 - 11% open Β· β±οΈ 07.11.2022):
+- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 450 Β· π¦ 9 Β· π 130 - 16% open Β· β±οΈ 07.11.2022):
```
git clone https://github.com/IntelLabs/nlp-architect
```
-- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 66 / month):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 72 / month Β· β±οΈ 12.04.2020):
```
pip install nlp-architect
```
UForm (π₯19 Β· β 430) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
+fast-bert (π₯20 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 330 Β· π 250 - 61% open Β· β±οΈ 27.07.2023):
+
+ ```
+ git clone https://github.com/utterworks/fast-bert
+ ```
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.1K / month):
+ ```
+ pip install fast-bert
+ ```
+UForm (π₯19 Β· β 440) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 20 Β· π¦ 7 Β· π 8 - 12% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 20 Β· π¦ 8 Β· β±οΈ 13.10.2023):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 830 / month Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/uform) (π₯ 820 / month Β· β±οΈ 13.10.2023):
```
pip install uform
```
textaugment (π₯19 Β· β 340) - TextAugment: Text Augmentation Library. MIT
+textaugment (π₯19 Β· β 350) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 56 Β· π₯ 62 Β· π¦ 64 Β· π 20 - 35% open Β· β±οΈ 12.09.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 56 Β· π₯ 62 Β· π¦ 66 Β· π 22 - 40% open Β· β±οΈ 12.09.2023):
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.4K / month):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.5K / month Β· π¦ 4 Β· β±οΈ 05.11.2020):
```
pip install textaugment
```
OpenNRE (π₯16 Β· β 4.1K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 980 Β· π 360 - 2% open Β· β±οΈ 03.01.2023):
+- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 1K Β· π 360 - 3% open Β· β±οΈ 03.01.2023):
```
git clone https://github.com/thunlp/OpenNRE
@@ -2272,70 +2236,72 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBox (π₯15 Β· β 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
-- [GitHub](https://github.com/RUCAIBox/TextBox) (π¨βπ» 18 Β· π 120 Β· π¦ 5 Β· π 69 - 2% open Β· β±οΈ 18.05.2023):
+- [GitHub](https://github.com/RUCAIBox/TextBox) (π¨βπ» 18 Β· π 120 Β· π¦ 5 Β· π 70 - 4% open Β· β±οΈ 18.05.2023):
```
git clone https://github.com/RUCAIBox/TextBox
```
-- [PyPi](https://pypi.org/project/textbox) (π₯ 1 / month):
+- [PyPi](https://pypi.org/project/textbox) (π₯ 2 / month Β· β±οΈ 15.04.2021):
```
pip install textbox
```
VizSeq (π₯14 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (π₯15 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 57 Β· π¦ 7 Β· π 16 - 43% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 57 Β· π¦ 7 Β· π 16 - 43% open Β· β±οΈ 27.10.2023):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 40 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 81 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 40 hidden projects...
+Show 42 hidden projects...
- ChatterBot (π₯35 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
- fuzzywuzzy (π₯33 Β· β 9K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
-- nlpaug (π₯29 Β· β 4.1K Β· π) - Data augmentation for NLP. MIT
-- textacy (π₯29 Β· β 2.1K) - NLP, before and after spaCy. βUnlicensed
+- nlpaug (π₯29 Β· β 4.2K Β· π) - Data augmentation for NLP. MIT
+- ftfy (π₯28 Β· β 3.6K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
- langid (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. BSD-3
-- flashtext (π₯27 Β· β 5.5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 βοΈGPL-3.0
-- vaderSentiment (π₯25 Β· β 4.1K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- Snips NLU (π₯25 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- textacy (π₯28 Β· β 2.1K Β· π€) - NLP, before and after spaCy. βUnlicensed
+- underthesea (π₯28 Β· β 1.3K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
+- vaderSentiment (π₯27 Β· β 4.1K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
+- polyglot (π₯26 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
- neuralcoref (π₯25 Β· β 2.8K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- pySBD (π₯25 Β· β 670 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
-- whoosh (π₯25 Β· β 460 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
-- MatchZoo (π₯24 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 βοΈBSD-1-Clause
+- textgenrnn (π₯24 Β· β 4.9K Β· π) - Easily train your own text-generating neural network of any.. MIT MIT
+- Snips NLU (π₯23 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- MatchZoo (π₯23 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2 βUnlicensed
-- textgenrnn (π₯22 Β· β 4.9K Β· π) - Easily train your own text-generating neural network.. βUnlicensed βUnlicensed MIT Apache-2 MIT
- stop-words (π₯22 Β· β 150 Β· π) - Get list of common stop words in various languages in Python. BSD-3
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT βοΈGPL-3.0
-- gpt-2-simple (π₯19 Β· β 3.3K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. βUnlicensed MIT
-- lightseq (π₯18 Β· β 3K) - LightSeq: A High Performance Library for Sequence Processing and.. βUnlicensed
-- textpipe (π₯18 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
+- numerizer (π₯20 Β· β 210) - A Python module to convert natural language numerics into ints and.. MIT
+- fastT5 (π₯18 Β· β 510 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- Camphr (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- NeuroNER (π₯17 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+- nboost (π₯17 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- DeepMatcher (π₯17 Β· β 510 Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
-- Camphr (π₯17 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
-- fastT5 (π₯16 Β· β 510 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- textpipe (π₯17 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- skift (π₯16 Β· β 230 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
- BLINK (π₯15 Β· β 1.1K Β· π) - Entity Linker solution. MIT
- Translate (π₯15 Β· β 810 Β· π) - Translate - a PyTorch Language Library. BSD-3 Apache-2
-- Headliner (π₯14 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
-- NeuralQA (π₯14 Β· β 220 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT Apache-2
-- textvec (π₯12 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT
+- textvec (π₯13 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT spacy
+- Headliner (π₯10 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. βUnlicensed
@@ -2347,72 +2313,72 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯47 Β· β 11K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 2.1K Β· π¦ 1.4M Β· π 3K - 3% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 1.9K Β· π¦ 1.4M Β· π 2.9K - 2% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 70M / month Β· π¦ 67K Β· β±οΈ 15.10.2023):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 74M / month):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 34M Β· β±οΈ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 35M Β· β±οΈ 16.10.2023):
```
conda install -c conda-forge pillow
```
PyTorch Image Models (π₯41 Β· β 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+torchvision (π₯42 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 120 Β· π 4.2K Β· π₯ 5.6M Β· π¦ 18K Β· π 810 - 8% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 560 Β· π 6.8K Β· π₯ 33K Β· π¦ 21 Β· π 3.2K - 29% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/rwightman/pytorch-image-models
+ git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 3.3M / month):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 9.5M / month Β· π¦ 4.7K Β· β±οΈ 04.10.2023):
```
- pip install timm
+ pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 110K Β· β±οΈ 21.10.2023):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 920K Β· β±οΈ 02.10.2023):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge torchvision
```
MMDetection (π₯40 Β· β 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+PyTorch Image Models (π₯41 Β· β 28K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 440 Β· π 9K Β· π¦ 1.8K Β· π 7.6K - 13% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 120 Β· π 4.4K Β· π₯ 5.7M Β· π¦ 18K Β· π 820 - 8% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 150K / month Β· π¦ 28 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/timm) (π₯ 3.5M / month Β· π¦ 340 Β· β±οΈ 04.11.2023):
```
- pip install mmdet
+ pip install timm
+ ```
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 110K Β· β±οΈ 06.11.2023):
+ ```
+ conda install -c conda-forge timm
```
torchvision (π₯38 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+MMDetection (π₯39 Β· β 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 560 Β· π 6.6K Β· π₯ 32K Β· π¦ 21 Β· π 3K - 24% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 440 Β· π 8.1K Β· π¦ 1.9K Β· π 7.6K - 13% open Β· β±οΈ 12.10.2023):
```
- git clone https://github.com/pytorch/vision
- ```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 9.2M / month):
- ```
- pip install torchvision
+ git clone https://github.com/open-mmlab/mmdetection
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 900K Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 160K / month):
```
- conda install -c conda-forge torchvision
+ pip install mmdet
```
Kornia (π₯38 Β· β 8.7K) - Computer Vision and Robotics Library for AI. Apache-2
+Kornia (π₯38 Β· β 8.8K) - Computer Vision and Robotics Library for AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 240 Β· π 870 Β· π₯ 850 Β· π¦ 6.8K Β· π 820 - 27% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 240 Β· π 880 Β· π₯ 860 Β· π¦ 6.9K Β· π 830 - 27% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2M / month):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2.1M / month):
```
pip install kornia
```
@@ -2423,28 +2389,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (π₯38 Β· β 1.3K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 870 Β· π¦ 100K Β· π 580 - 16% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 880 Β· π¦ 110K Β· π 580 - 16% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 18M / month Β· π¦ 3K Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 18M / month Β· π¦ 3K Β· β±οΈ 06.11.2023):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 5.8M Β· β±οΈ 09.10.2023):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 5.9M Β· β±οΈ 09.10.2023):
```
conda install -c conda-forge imageio
```
InsightFace (π₯37 Β· β 19K Β· π) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+InsightFace (π₯37 Β· β 19K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 57 Β· π 4.7K Β· π₯ 810K Β· π¦ 1.1K Β· π 2.3K - 41% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 57 Β· π 4.8K Β· π₯ 940K Β· π¦ 1.2K Β· π 2.3K - 42% open Β· β±οΈ 10.09.2023):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 430K / month Β· π¦ 11 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 460K / month Β· π¦ 11 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
@@ -2456,23 +2422,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 690K / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 710K / month Β· π¦ 950 Β· β±οΈ 15.12.2021):
```
pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 210K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 220K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge moviepy
```
Albumentations (π₯35 Β· β 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
+Albumentations (π₯36 Β· β 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 18K Β· π 800 - 46% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 19K Β· π 800 - 45% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 1M / month Β· π¦ 300 Β· β±οΈ 10.06.2023):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 1.1M / month):
```
pip install albumentations
```
@@ -2481,25 +2447,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
Wand (π₯34 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
+Wand (π₯36 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 28K Β· π¦ 17K Β· π 400 - 4% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 29K Β· π¦ 18K Β· π 410 - 5% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 850K / month):
+- [PyPi](https://pypi.org/project/wand) (π₯ 840K / month Β· π¦ 710 Β· β±οΈ 03.11.2023):
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 33K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 35K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge wand
```
detectron2 (π₯33 Β· β 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+detectron2 (π₯34 Β· β 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.4K Β· π 3.4K - 10% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.4K Β· π 3.4K - 10% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2515,48 +2481,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleSeg (π₯33 Β· β 7.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1K Β· π 1.9K - 17% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1K Β· π 1.9K - 17% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2.3K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
opencv-python (π₯33 Β· β 3.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 740 Β· π 710 - 10% open Β· β±οΈ 18.10.2023):
-
- ```
- git clone https://github.com/opencv/opencv-python
- ```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 11M / month Β· π¦ 11K Β· β±οΈ 28.09.2023):
- ```
- pip install opencv-python
- ```
-deepface (π₯32 Β· β 7.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+deepface (π₯32 Β· β 8.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 47 Β· π 1.5K Β· π¦ 2K Β· π 780 - 1% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 47 Β· π 1.5K Β· π¦ 2.1K Β· π 800 - 1% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 83K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 130K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
```
pip install deepface
```
PaddleDetection (π₯31 Β· β 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 150 Β· π 2.7K Β· π¦ 120 Β· π 5.1K - 24% open Β· β±οΈ 27.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 150 Β· π 2.7K Β· π¦ 120 Β· π 5.1K - 24% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 600 / month):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 680 / month Β· π¦ 1 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
@@ -2568,80 +2522,96 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.4M / month Β· π¦ 380 Β· β±οΈ 28.09.2022):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.5M / month Β· π¦ 380 Β· β±οΈ 28.09.2022):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 340K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 350K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge imagehash
```
doctr (π₯31 Β· β 2.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+doctr (π₯31 Β· β 2.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 39 Β· π 280 Β· π₯ 2M Β· π¦ 200 Β· π 280 - 14% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 41 Β· π 280 Β· π₯ 2M Β· π¦ 210 Β· π 280 - 14% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 13K / month Β· π¦ 3 Β· β±οΈ 09.09.2023):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 09.09.2023):
```
pip install python-doctr
```
vit-pytorch (π₯30 Β· β 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 20 Β· π 2.5K Β· π¦ 330 Β· π 240 - 46% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 20 Β· π 2.5K Β· π¦ 340 Β· π 240 - 46% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 20K / month Β· π¦ 6 Β· β±οΈ 25.10.2023):
```
pip install vit-pytorch
```
imageai (π₯30 Β· β 8.1K) - A python library built to empower developers to build applications and.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 890K Β· π¦ 1.5K Β· π 740 - 39% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 890K Β· π¦ 1.5K Β· π 730 - 38% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 7.4K / month Β· π¦ 18 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 7.7K / month):
```
pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 6.5K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 6.6K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge imageai
```
Face Alignment (π₯30 Β· β 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 310 - 24% open Β· β±οΈ 16.08.2023):
+
+ ```
+ git clone https://github.com/1adrianb/face-alignment
+ ```
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 68K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+ ```
+ pip install face-alignment
+ ```
+lightly (π₯30 Β· β 2.6K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 33 Β· π 220 Β· π¦ 180 Β· π 470 - 18% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 33 Β· π 220 Β· π¦ 180 Β· π 480 - 18% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 53K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 48K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
```
pip install lightly
```
Face Alignment (π₯29 Β· β 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+sahi (π₯29 Β· β 3.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 300 - 22% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 36 Β· π 460 Β· π₯ 20K Β· π¦ 710 Β· β±οΈ 06.11.2023):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/obss/sahi
+ ```
+- [PyPi](https://pypi.org/project/sahi) (π₯ 110K / month Β· π¦ 12 Β· β±οΈ 05.11.2023):
+ ```
+ pip install sahi
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 60K / month):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 51K Β· β±οΈ 06.11.2023):
```
- pip install face-alignment
+ conda install -c conda-forge sahi
```
vidgear (π₯29 Β· β 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
+vidgear (π₯29 Β· β 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 940 Β· π¦ 470 Β· π 270 - 1% open Β· β±οΈ 10.09.2023):
@@ -2653,56 +2623,40 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vidgear
```
CellProfiler (π₯29 Β· β 810) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯29 Β· β 810) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6.1K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 570 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
```
pip install cellprofiler
```
GluonCV (π₯27 Β· β 5.6K Β· π€) - Gluon CV Toolkit. Apache-2
+GluonCV (π₯27 Β· β 5.7K Β· π€) - Gluon CV Toolkit. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 21 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 21 Β· π 820 - 4% open Β· β±οΈ 19.01.2023):
```
git clone https://github.com/dmlc/gluon-cv
```
-- [PyPi](https://pypi.org/project/gluoncv) (π₯ 51K / month):
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 48K / month):
```
pip install gluoncv
```
Augmentor (π₯27 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. MIT
-
-- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 870 Β· π¦ 660 Β· π 210 - 64% open Β· β±οΈ 29.03.2023):
-
- ```
- git clone https://github.com/mdbloice/Augmentor
- ```
-- [PyPi](https://pypi.org/project/Augmentor) (π₯ 12K / month Β· π¦ 29 Β· β±οΈ 27.04.2022):
- ```
- pip install Augmentor
- ```
-sahi (π₯27 Β· β 3.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+opencv-python (π₯27 Β· β 3.8K Β· π) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 31 Β· π 460 Β· π₯ 19K Β· π¦ 690 Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 730 Β· π 710 - 9% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/obss/sahi
- ```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 110K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
- ```
- pip install sahi
+ git clone https://github.com/opencv/opencv-python
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 50K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 12M / month):
```
- conda install -c conda-forge sahi
+ pip install opencv-python
```
mahotas (π₯27 Β· β 810) - Computer Vision in Python. MIT
@@ -2712,7 +2666,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.5K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 13K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
```
pip install mahotas
```
@@ -2723,31 +2677,55 @@ _Libraries for image & video processing, manipulation, and augmentation as well
facenet-pytorch (π₯26 Β· β 3.8K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 800 Β· π₯ 700K Β· π¦ 1.3K Β· π 170 - 36% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 800 Β· π₯ 710K Β· π¦ 1.4K Β· π 170 - 36% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 28K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 30K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
```
pip install facenet-pytorch
```
pytorchvideo (π₯25 Β· β 3K) - A deep learning library for video understanding research. Apache-2
+pytorchvideo (π₯26 Β· β 3K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 360 Β· π 190 - 46% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 360 Β· π 190 - 46% open Β· β±οΈ 30.10.2023):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 76K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 80K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
Augmentor (π₯25 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. MIT
+
+- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 840 Β· π¦ 660 Β· π 190 - 61% open Β· β±οΈ 29.03.2023):
+
+ ```
+ git clone https://github.com/mdbloice/Augmentor
+ ```
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 11K / month):
+ ```
+ pip install Augmentor
+ ```
+Image Deduplicator (π₯25 Β· β 4.7K Β· π€) - Finding duplicate images made easy!. Apache-2
+
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 430 Β· π¦ 67 Β· π 120 - 23% open Β· β±οΈ 28.04.2023):
+
+ ```
+ git clone https://github.com/idealo/imagededup
+ ```
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 11K / month):
+ ```
+ pip install imagededup
+ ```
+Norfair (π₯25 Β· β 2.2K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 24 Β· π 220 Β· π₯ 290 Β· π¦ 130 Β· π 130 - 4% open Β· β±οΈ 15.05.2023):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 24 Β· π 220 Β· π₯ 290 Β· π¦ 140 Β· π 140 - 4% open Β· β±οΈ 15.05.2023):
```
git clone https://github.com/tryolabs/norfair
@@ -2764,33 +2742,37 @@ _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) (π₯ 4.8K / month Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 2.9K / month Β· β±οΈ 09.11.2023):
```
pip install kubric-nightly
```
Image Deduplicator (π₯24 Β· β 4.7K) - Finding duplicate images made easy!. Apache-2
+MMF (π₯24 Β· β 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 430 Β· π¦ 67 Β· π 120 - 23% open Β· β±οΈ 28.04.2023):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 880 Β· π¦ 14 Β· π 650 - 16% open Β· β±οΈ 31.10.2023):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 5.9K / month):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 210 / month):
```
- pip install imagededup
+ pip install mmf
```
MMF (π₯23 Β· β 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3
+pyvips (π₯24 Β· β 550) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 110 Β· π 880 Β· π¦ 14 Β· π 650 - 16% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 47 Β· π¦ 610 Β· π 380 - 40% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 200 / month):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 51K / month Β· π¦ 46 Β· β±οΈ 12.06.2022):
```
- pip install mmf
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 69K Β· β±οΈ 26.09.2023):
+ ```
+ conda install -c conda-forge pyvips
```
icevision (π₯23 Β· β 840 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
@@ -2800,25 +2782,17 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
pip install icevision
```
pyvips (π₯23 Β· β 550) - python binding for libvips using cffi. MIT
+DEβ«ΆTR (π₯22 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 48 Β· π¦ 600 Β· π 380 - 40% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2.1K Β· π¦ 21 Β· π 520 - 45% open Β· β±οΈ 07.02.2023):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 50K / month):
- ```
- pip install pyvips
- ```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 69K Β· β±οΈ 26.09.2023):
- ```
- conda install -c conda-forge pyvips
+ git clone https://github.com/facebookresearch/detr
```
vissl (π₯22 Β· β 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
@@ -2828,41 +2802,33 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 220 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
tensorflow-graphics (π₯22 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 08.08.2023):
-
- ```
- git clone https://github.com/tensorflow/graphics
- ```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 4.9K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
- ```
- pip install tensorflow-graphics
- ```
-ffcv (π₯22 Β· β 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+ffcv (π₯22 Β· β 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 27 Β· π 160 Β· π¦ 33 Β· π 250 - 34% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 27 Β· π 160 Β· π¦ 33 Β· π 260 - 34% open Β· β±οΈ 24.08.2023):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 860 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 910 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
DEβ«ΆTR (π₯21 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
+tensorflow-graphics (π₯21 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2.1K Β· π¦ 21 Β· π 510 - 44% open Β· β±οΈ 07.02.2023):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 350 Β· π 180 - 48% open Β· β±οΈ 08.08.2023):
```
- git clone https://github.com/facebookresearch/detr
+ git clone https://github.com/tensorflow/graphics
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 5.4K / month):
+ ```
+ pip install tensorflow-graphics
```
Classy Vision (π₯21 Β· β 1.6K Β· π€) - An end-to-end PyTorch framework for image and video.. MIT
@@ -2872,11 +2838,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.1K / month):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 1.4K / month):
```
pip install classy_vision
```
-- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 18K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 19K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge classy_vision
```
@@ -2900,64 +2866,64 @@ _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) (π₯ 510 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
+- [PyPi](https://pypi.org/project/image_match) (π₯ 590 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
```
pip install image_match
```
scenic (π₯19 Β· β 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 72 Β· π 350 Β· π 250 - 58% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 74 Β· π 350 Β· π 260 - 58% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/google-research/scenic
```
pycls (π₯19 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
+pycls (π₯18 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 16 Β· π 81 - 30% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/facebookresearch/pycls
```
-- [PyPi](https://pypi.org/project/pycls) (π₯ 710 / month Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/pycls) (π₯ 800 / month Β· β±οΈ 05.09.2020):
```
pip install pycls
```
Caer (π₯18 Β· β 720) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
+Caer (π₯18 Β· β 720 Β· π€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 95 Β· π₯ 28 Β· π 15 - 13% open Β· β±οΈ 01.04.2023):
+- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 96 Β· π₯ 28 Β· π 15 - 13% open Β· β±οΈ 01.04.2023):
```
git clone https://github.com/jasmcaus/caer
```
-- [PyPi](https://pypi.org/project/caer) (π₯ 2.9K / month):
+- [PyPi](https://pypi.org/project/caer) (π₯ 3.5K / month):
```
pip install caer
```
Show 19 hidden projects...
-- scikit-image (π₯42 Β· β 5.6K) - Image processing in Python. βUnlicensed
+- scikit-image (π₯42 Β· β 5.7K) - Image processing in Python. βUnlicensed
- imgaug (π₯35 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
- glfw (π₯35 Β· β 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Face Recognition (π₯32 Β· β 50K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT
-- PyTorch3D (π₯29 Β· β 7.8K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT MIT
+- PyTorch3D (π₯30 Β· β 7.8K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT Apache-2
-- mtcnn (π₯27 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT MIT
-- Pillow-SIMD (π₯25 Β· β 2K) - The friendly PIL fork. βοΈPIL
-- segmentation_models (π₯23 Β· β 4.5K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT MIT Apache-2 BSD-3 MIT
+- Pillow-SIMD (π₯22 Β· β 2K Β· π) - The friendly PIL fork. βοΈPIL
+- nude.py (π₯21 Β· β 920 Β· π) - Nudity detection with Python. MIT
- detecto (π₯20 Β· β 600 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT
- solt (π₯18 Β· β 260 Β· π) - Streaming over lightweight data transformations. MIT
-- HugsVision (π₯16 Β· β 180 Β· π€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
-- Torch Points 3D (π₯14 Β· β 170 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 BSD-3 MIT huggingface
@@ -2969,68 +2935,68 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (π₯44 Β· β 13K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 690 Β· π 3.1K Β· π₯ 65 Β· π¦ 190K Β· π 3.3K - 11% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 690 Β· π 3.1K Β· π₯ 65 Β· π¦ 200K Β· π 3.3K - 12% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 30M / month Β· π¦ 15K Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 33M / month Β· π¦ 15K Β· β±οΈ 28.10.2023):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 14M Β· β±οΈ 19.10.2023):
+- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 14M Β· β±οΈ 28.10.2023):
```
conda install -c conda-forge networkx
```
dgl (π₯39 Β· β 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 160 Β· π 2.5K - 16% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 160 Β· π 2.5K - 16% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 66K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 71K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
```
pip install dgl
```
PyTorch Geometric (π₯38 Β· β 19K Β· π) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯38 Β· β 19K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 450 Β· π 3.3K Β· π 3.3K - 25% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 460 Β· π 3.3K Β· π 3.3K - 25% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 210K / month Β· π¦ 110 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 230K / month Β· π¦ 110 Β· β±οΈ 12.10.2023):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 32K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 33K Β· β±οΈ 08.11.2023):
```
conda install -c conda-forge pytorch_geometric
```
pygraphistry (π₯29 Β· β 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+pygraphistry (π₯30 Β· β 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 39 Β· π 200 Β· π¦ 100 Β· π 300 - 50% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 39 Β· π 200 Β· π¦ 100 Β· π 300 - 50% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 2.8K / month Β· π¦ 5 Β· β±οΈ 02.11.2023):
```
pip install graphistry
```
ogb (π₯29 Β· β 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1.1K Β· π 290 - 6% open Β· β±οΈ 10.06.2023):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1.2K Β· π 290 - 6% open Β· β±οΈ 10.06.2023):
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 23K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 28K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
@@ -3041,12 +3007,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Paddle Graph Learning (π₯28 Β· β 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 310 Β· π¦ 45 Β· π 210 - 42% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 310 Β· π¦ 46 Β· π 210 - 42% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
```
pip install pgl
```
@@ -3058,7 +3024,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 4.4K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 4.9K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
```
pip install spektral
```
@@ -3070,19 +3036,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 4.1K / month Β· π¦ 5 Β· β±οΈ 22.02.2023):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 4.7K / month Β· π¦ 5 Β· β±οΈ 22.02.2023):
```
pip install pykeen
```
PyTorch-BigGraph (π₯25 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 31 Β· π 430 Β· π₯ 160 Β· π 190 - 29% open Β· β±οΈ 06.11.2023):
+
+ ```
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ ```
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 320K / month Β· π¦ 3 Β· β±οΈ 01.05.2019):
+ ```
+ pip install torchbiggraph
+ ```
+pytorch_geometric_temporal (π₯25 Β· β 2.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 320 Β· π 170 - 8% open Β· β±οΈ 01.07.2023):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 320 Β· π 170 - 9% open Β· β±οΈ 01.07.2023):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.7K / month Β· π¦ 4 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 2.2K / month Β· π¦ 4 Β· β±οΈ 04.09.2022):
```
pip install torch-geometric-temporal
```
@@ -3094,31 +3072,35 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 630 / month Β· β±οΈ 25.05.2021):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 660 / month Β· β±οΈ 25.05.2021):
```
pip install ampligraph
```
PyTorch-BigGraph (π₯24 Β· β 3.3K Β· π) - Generate embeddings from large-scale graph-structured.. BSD-3
+torch-cluster (π₯24 Β· β 710) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 30 Β· π 430 Β· π₯ 160 Β· π 190 - 29% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 32 Β· π 130 Β· π 140 - 17% open Β· β±οΈ 11.10.2023):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 320K / month Β· π¦ 3 Β· β±οΈ 01.05.2019):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 13K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
```
- pip install torchbiggraph
+ pip install torch-cluster
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 82K Β· β±οΈ 18.10.2023):
+ ```
+ conda install -c conda-forge pytorch_cluster
```
Node2Vec (π₯24 Β· β 1.1K) - Implementation of the node2vec algorithm. MIT
+Node2Vec (π₯23 Β· β 1.1K) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 230 Β· π¦ 490 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 230 Β· π¦ 500 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 81K / month Β· π¦ 18 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 74K / month Β· π¦ 18 Β· β±οΈ 01.08.2022):
```
pip install node2vec
```
@@ -3127,73 +3109,69 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
torch-cluster (π₯24 Β· β 710 Β· π) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+graph-nets (π₯21 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 32 Β· π 130 Β· π 140 - 17% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/google-deepmind/graph_nets) (π¨βπ» 11 Β· π 780 Β· π¦ 20 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 12K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
- ```
- pip install torch-cluster
+ git clone https://github.com/deepmind/graph_nets
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 81K Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 950 / month Β· π¦ 8 Β· β±οΈ 29.01.2020):
```
- conda install -c conda-forge pytorch_cluster
+ pip install graph-nets
```
graph4nlp (π₯21 Β· β 1.6K Β· π€) - Graph4nlp is the library for the easy use of Graph.. Apache-2
-- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 29 Β· π 190 Β· π 170 - 3% open Β· β±οΈ 13.11.2022):
+- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 29 Β· π 190 Β· π 170 - 6% open Β· β±οΈ 13.11.2022):
```
git clone https://github.com/graph4ai/graph4nlp
```
-- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 76 / month):
+- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 53 / month Β· β±οΈ 20.01.2022):
```
pip install graph4nlp
```
deepsnap (π₯20 Β· β 500 Β· π€) - Python library assists deep learning on graphs. MIT
+deepsnap (π₯21 Β· β 500 Β· π€) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 52 Β· π₯ 10 Β· π¦ 68 Β· π 44 - 45% open Β· β±οΈ 27.03.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 53 Β· π₯ 10 Β· π¦ 69 Β· π 45 - 46% open Β· β±οΈ 27.03.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 430 / month):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 420 / month Β· π¦ 1 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
graph-nets (π₯19 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
+GraphGym (π₯19 Β· β 1.5K Β· π€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-- [GitHub](https://github.com/google-deepmind/graph_nets) (π¨βπ» 11 Β· π 780 Β· π¦ 20 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
+- [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 170 Β· π₯ 26 Β· π¦ 4 Β· π 43 - 30% open Β· β±οΈ 14.03.2023):
```
- git clone https://github.com/deepmind/graph_nets
+ git clone https://github.com/snap-stanford/GraphGym
```
-- [PyPi](https://pypi.org/project/graph-nets) (π₯ 940 / month):
+- [PyPi](https://pypi.org/project/graphgym) (π₯ 100 / month Β· β±οΈ 24.03.2022):
```
- pip install graph-nets
+ pip install graphgym
```
GraphGym (π₯18 Β· β 1.5K Β· π€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+Sematch (π₯19 Β· β 410) - semantic similarity framework for knowledge graph. Apache-2
-- [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 160 Β· π₯ 26 Β· π¦ 4 Β· π 43 - 30% open Β· β±οΈ 14.03.2023):
+- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 110 Β· π¦ 45 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
```
- git clone https://github.com/snap-stanford/GraphGym
+ git clone https://github.com/gsi-upm/sematch
```
-- [PyPi](https://pypi.org/project/graphgym) (π₯ 78 / month Β· β±οΈ 24.03.2022):
+- [PyPi](https://pypi.org/project/sematch) (π₯ 340 / month Β· π¦ 3 Β· β±οΈ 17.04.2017):
```
- pip install graphgym
+ pip install sematch
```
AutoGL (π₯16 Β· β 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 32 - 28% open Β· β±οΈ 21.10.2023):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 33 - 27% open Β· β±οΈ 21.10.2023):
```
git clone https://github.com/THUMNLab/AutoGL
@@ -3205,12 +3183,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
kglib (π₯16 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
-- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 62 - 17% open Β· β±οΈ 09.11.2022):
+- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 63 - 19% open Β· β±οΈ 09.11.2022):
```
git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 75 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 81 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
@@ -3231,20 +3209,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
git clone https://github.com/thunlp/OpenNE
```
Show 15 hidden projects...
+Show 14 hidden projects...
- igraph (π₯32 Β· β 1.2K) - Python interface for igraph. βοΈGPL-2.0
- StellarGraph (π₯28 Β· β 2.8K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
+- pygal (π₯28 Β· β 2.6K) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
- Karate Club (π₯24 Β· β 2K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
- DIG (π₯22 Β· β 1.6K) - A library for graph deep learning research. βοΈGPL-3.0
- DeepWalk (π₯20 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- jraph (π₯20 Β· β 1.2K Β· π) - A Graph Neural Network Library in Jax. Apache-2 MIT
-- Sematch (π₯17 Β· β 410 Β· π) - semantic similarity framework for knowledge graph. Apache-2
- DeepGraph (π₯17 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT Apache-2 MIT Apache-2 MIT MIT Apache-2
@@ -3257,93 +3234,77 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-speechbrain (π₯38 Β· β 6.7K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯38 Β· β 6.8K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 1K Β· π 950 - 9% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 1.1K Β· π 1K - 16% open Β· β±οΈ 30.10.2023):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 220K / month):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 190K / month Β· π¦ 14 Β· β±οΈ 22.07.2023):
```
pip install speechbrain
```
espnet (π₯37 Β· β 7.3K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 390 Β· π 2K Β· π₯ 79 Β· π¦ 250 Β· π 2.3K - 10% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 400 Β· π 2K Β· π₯ 79 Β· π¦ 260 Β· π 2.3K - 10% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 24K / month Β· π¦ 5 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 23K / month Β· π¦ 5 Β· β±οΈ 25.10.2023):
```
pip install espnet
```
torchaudio (π₯35 Β· β 2.2K) - Data manipulation and transformation for audio signal.. BSD-2
-
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 900 - 21% open Β· β±οΈ 26.10.2023):
-
- ```
- git clone https://github.com/pytorch/audio
- ```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.7M / month Β· π¦ 440 Β· β±οΈ 04.10.2023):
- ```
- pip install torchaudio
- ```
-Coqui TTS (π₯33 Β· β 21K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+Coqui TTS (π₯35 Β· β 22K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 150 Β· π 2.2K Β· π₯ 1.5M Β· π 740 - 3% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 150 Β· π 2.4K Β· π₯ 1.6M Β· π 780 - 3% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/tts) (π₯ 73K / month):
+- [PyPi](https://pypi.org/project/tts) (π₯ 90K / month Β· π¦ 17 Β· β±οΈ 08.11.2023):
```
pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.8K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.9K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge tts
```
Pydub (π₯33 Β· β 7.8K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
+torchaudio (π₯35 Β· β 2.3K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 41K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 900 - 21% open Β· β±οΈ 31.10.2023):
```
- git clone https://github.com/jiaaro/pydub
- ```
-- [PyPi](https://pypi.org/project/pydub) (π₯ 3M / month Β· π¦ 1.2K Β· β±οΈ 10.03.2021):
- ```
- pip install pydub
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 71K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.7M / month Β· π¦ 440 Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge pydub
+ pip install torchaudio
```
librosa (π₯33 Β· β 6.2K) - Python library for audio and music analysis. ISC
+librosa (π₯33 Β· β 6.3K) - Python library for audio and music analysis. ISC
- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 900 Β· π 1.1K - 4% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2M / month Β· π¦ 1.5K Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.1M / month Β· π¦ 1.5K Β· β±οΈ 16.08.2023):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 700K Β· β±οΈ 16.08.2023):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 710K Β· β±οΈ 16.08.2023):
```
conda install -c conda-forge librosa
```
spleeter (π₯32 Β· β 24K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.6K Β· π₯ 2.7M Β· π¦ 600 Β· π 770 - 27% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.6K Β· π₯ 2.7M Β· π¦ 610 Β· π 770 - 27% open Β· β±οΈ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
@@ -3364,14 +3325,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 2.9K / month Β· π¦ 38 Β· β±οΈ 31.07.2018):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 3.2K / month Β· π¦ 38 Β· β±οΈ 31.07.2018):
```
pip install magenta
```
SpeechRecognition (π₯31 Β· β 7.6K Β· π€) - Speech recognition module for Python, supporting.. BSD-3
+Pydub (π₯32 Β· β 7.8K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 21 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
+- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 42K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
+
+ ```
+ git clone https://github.com/jiaaro/pydub
+ ```
+- [PyPi](https://pypi.org/project/pydub) (π₯ 3M / month Β· π¦ 1.2K Β· β±οΈ 10.03.2021):
+ ```
+ pip install pydub
+ ```
+- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 74K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge pydub
+ ```
+SpeechRecognition (π₯32 Β· β 7.6K Β· π€) - Speech recognition module for Python, supporting.. BSD-3
+
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 21 Β· π 610 - 49% open Β· β±οΈ 13.03.2023):
```
git clone https://github.com/Uberi/speech_recognition
@@ -3385,14 +3362,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge speechrecognition
```
audiomentations (π₯30 Β· β 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT
+audiomentations (π₯31 Β· β 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 350 Β· π 160 - 25% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 360 Β· π 170 - 27% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 17K / month):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 18K / month Β· π¦ 5 Β· β±οΈ 30.08.2023):
```
pip install audiomentations
```
@@ -3404,7 +3381,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 1.6M / month Β· π¦ 360 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 1.7M / month Β· π¦ 360 Β· β±οΈ 27.09.2023):
```
pip install audioread
```
@@ -3413,26 +3390,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge audioread
```
pyAudioAnalysis (π₯29 Β· β 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+pyAudioAnalysis (π₯29 Β· β 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 390 Β· π 310 - 61% open Β· β±οΈ 22.10.2023):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 400 Β· π 310 - 61% open Β· β±οΈ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 15K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 13K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
```
pip install pyAudioAnalysis
```
Porcupine (π₯29 Β· β 3.2K) - On-device wake word detection powered by deep learning. Apache-2
+Porcupine (π₯28 Β· β 3.2K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 36 Β· π 440 Β· π¦ 22 Β· π 490 - 0% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 36 Β· π 440 Β· π¦ 24 Β· π 490 - 0% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.9K / month Β· π¦ 13 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 4.7K / month Β· π¦ 13 Β· β±οΈ 25.10.2023):
```
pip install pvporcupine
```
@@ -3444,47 +3421,47 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 3K / month Β· π¦ 33 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 3.5K / month Β· π¦ 33 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
tinytag (π₯26 Β· β 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 99 Β· π 110 - 12% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 99 Β· π 110 - 12% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 22K / month Β· π¦ 110 Β· β±οΈ 26.10.2023):
```
pip install tinytag
```
DDSP (π₯25 Β· β 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (π₯24 Β· β 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 300 Β· π¦ 47 Β· π 160 - 24% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 300 Β· π¦ 47 Β· π 160 - 25% open Β· β±οΈ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 14K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 15K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ddsp
```
python-soundfile (π₯24 Β· β 590) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+python-soundfile (π₯24 Β· β 600) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 31 Β· π 93 Β· π₯ 16K Β· π 230 - 41% open Β· β±οΈ 14.10.2023):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.5M / month Β· π¦ 170 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.6M / month Β· π¦ 170 Β· β±οΈ 15.02.2023):
```
pip install soundfile
```
@@ -3493,34 +3470,49 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
nnAudio (π₯20 Β· β 900) - Audio processing by using pytorch 1D convolution network. MIT
+DeepSpeech (π₯22 Β· β 23K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
+
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 3.8K):
+
+ ```
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 7.9K / month Β· π¦ 43 Β· β±οΈ 19.12.2020):
+ ```
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.4K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge deepspeech
+ ```
+nnAudio (π₯20 Β· β 910) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 86 Β· π¦ 130 Β· π 60 - 30% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 87 Β· π¦ 140 Β· π 60 - 30% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 4.7K / month):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 5.8K / month Β· π¦ 3 Β· β±οΈ 24.12.2021):
```
pip install nnAudio
```
textlesslib (π₯12 Β· β 460) - Library for Textless Spoken Language Processing. MIT
+textlesslib (π₯11 Β· β 460) - Library for Textless Spoken Language Processing. MIT
-- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 45 Β· π 17 - 47% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 46 Β· π 17 - 47% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
```
Show 10 hidden projects...
+Show 9 hidden projects...
-- DeepSpeech (π₯34 Β· β 23K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 βοΈGPL-3.0
+- aubio (π₯28 Β· β 3.1K Β· π) - a library for audio and music analysis. βοΈGPL-3.0
- Essentia (π₯27 Β· β 2.5K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
-- TTS (π₯25 Β· β 8.1K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- TTS (π₯26 Β· β 8.1K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (π₯25 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. MIT
-- Dejavu (π₯23 Β· β 6.1K Β· π) - Audio fingerprinting and recognition in Python. MIT
+- Dejavu (π₯22 Β· β 6.2K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 900 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
- Julius (π₯20 Β· β 380 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT pydeck (π₯42 Β· β 11K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.7K Β· π 2.8K - 8% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.7K Β· π 2.8K - 8% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 1.5M / month Β· π¦ 40 Β· β±οΈ 15.04.2023):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 1.7M / month Β· π¦ 40 Β· β±οΈ 15.04.2023):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 450K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 460K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 510K / month Β· π¦ 470 Β· β±οΈ 24.10.2023):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 480K / month Β· π¦ 470 Β· β±οΈ 02.11.2023):
```
npm install deck.gl
```
GeoPandas (π₯39 Β· β 3.9K) - Python tools for geographic data. BSD-3
+GeoPandas (π₯40 Β· β 3.9K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 870 Β· π₯ 2.2K Β· π¦ 27K Β· π 1.6K - 27% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 870 Β· π₯ 2.2K Β· π¦ 28K Β· π 1.6K - 27% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.2M / month Β· π¦ 1.7K Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.5M / month Β· π¦ 1.7K Β· β±οΈ 15.09.2023):
```
pip install geopandas
```
@@ -3570,46 +3562,46 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopandas
```
folium (π₯38 Β· β 6.4K) - Python Data. Leaflet.js Maps. MIT
+folium (π₯39 Β· β 6.5K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 30K Β· π 1K - 5% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 31K Β· π 1K - 6% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 700K / month Β· π¦ 790 Β· β±οΈ 12.12.2022):
+- [PyPi](https://pypi.org/project/folium) (π₯ 770K / month Β· π¦ 800 Β· β±οΈ 06.11.2023):
```
pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.4M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.4M Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge folium
```
Shapely (π₯38 Β· β 3.5K) - Manipulation and analysis of geometric objects. BSD-3
+Shapely (π₯38 Β· β 3.5K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.7K Β· π¦ 54K Β· π 1.1K - 20% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.7K Β· π¦ 55K Β· π 1.1K - 20% open Β· β±οΈ 29.10.2023):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 16M / month Β· π¦ 1.1K Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 17M / month Β· π¦ 1.1K Β· β±οΈ 12.10.2023):
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 8.5M Β· β±οΈ 13.10.2023):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 8.6M Β· β±οΈ 13.10.2023):
```
conda install -c conda-forge shapely
```
Rasterio (π₯37 Β· β 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 150 Β· π 520 Β· π₯ 850 Β· π¦ 9.1K Β· π 1.7K - 9% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 150 Β· π 520 Β· π₯ 850 Β· π¦ 9.3K Β· π 1.8K - 9% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 2M / month Β· π¦ 1K Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 2.1M / month Β· π¦ 1K Β· β±οΈ 19.10.2023):
```
pip install rasterio
```
@@ -3618,62 +3610,62 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge rasterio
```
geopy (π₯36 Β· β 4.1K Β· π) - Geocoding library for Python. MIT
+pyproj (π₯36 Β· β 940) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 630 Β· π₯ 2 Β· π 280 - 10% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 65 Β· π 210 Β· π¦ 25K Β· π 590 - 4% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/geopy/geopy
+ git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 4.2M / month Β· π¦ 4K Β· β±οΈ 27.08.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.4M / month Β· π¦ 2K Β· β±οΈ 21.09.2023):
```
- pip install geopy
+ pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 27.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.9M Β· β±οΈ 06.11.2023):
```
- conda install -c conda-forge geopy
+ conda install -c conda-forge pyproj
```
pyproj (π₯36 Β· β 930) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+geopy (π₯35 Β· β 4.1K) - Geocoding library for Python. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 64 Β· π 210 Β· π¦ 24K Β· π 580 - 4% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 630 Β· π₯ 2 Β· π 280 - 10% open Β· β±οΈ 27.08.2023):
```
- git clone https://github.com/pyproj4/pyproj
+ git clone https://github.com/geopy/geopy
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.1M / month Β· π¦ 2K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 4.5M / month Β· π¦ 4K Β· β±οΈ 27.08.2023):
```
- pip install pyproj
+ pip install geopy
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.9M Β· β±οΈ 23.10.2023):
+- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 27.08.2023):
```
- conda install -c conda-forge pyproj
+ conda install -c conda-forge geopy
```
Fiona (π₯35 Β· β 1.1K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 72 Β· π 200 Β· π¦ 15K Β· π 770 - 4% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 72 Β· π 200 Β· π¦ 16K Β· π 770 - 4% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 6.5M / month Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 6.8M / month Β· β±οΈ 12.10.2023):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5M Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5.1M Β· β±οΈ 12.10.2023):
```
conda install -c conda-forge fiona
```
ipyleaflet (π₯33 Β· β 1.4K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 85 Β· π 350 Β· π¦ 5.7K Β· π 590 - 42% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 85 Β· π 350 Β· π¦ 5.9K Β· π 590 - 42% open Β· β±οΈ 09.10.2023):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 170K / month Β· π¦ 160 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 180K / month Β· π¦ 160 Β· β±οΈ 11.09.2023):
```
pip install ipyleaflet
```
@@ -3681,19 +3673,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 51K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 52K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
```
npm install jupyter-leaflet
```
ArcGIS API (π₯32 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1.1K Β· π₯ 9.5K Β· π¦ 3 Β· π 640 - 7% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1.1K Β· π₯ 9.6K Β· π¦ 3 Β· π 640 - 6% open Β· β±οΈ 16.10.2023):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 68K / month Β· π¦ 32 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 72K / month Β· π¦ 32 Β· β±οΈ 18.10.2023):
```
pip install arcgis
```
@@ -3702,57 +3694,57 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
docker pull esridocker/arcgis-api-python-notebook
```
geojson (π₯29 Β· β 840) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (π₯30 Β· β 840) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 54 Β· π 120 Β· π¦ 16K Β· π 100 - 27% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 55 Β· π 120 Β· π¦ 16K Β· π 100 - 26% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 1.3M / month Β· π¦ 1.2K Β· β±οΈ 26.01.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 1.4M / month Β· π¦ 1.3K Β· β±οΈ 05.11.2023):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 760K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 770K Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge geojson
```
PySAL (π₯27 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+GeoViews (π₯28 Β· β 520) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 72 Β· π¦ 790 Β· π 340 - 33% open Β· β±οΈ 01.11.2023):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 8K / month Β· π¦ 35 Β· β±οΈ 01.11.2023):
```
- pip install pysal
+ pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 520K Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 200K Β· β±οΈ 02.11.2023):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge geoviews
```
GeoViews (π₯27 Β· β 520) - Simple, concise geographical visualization in Python. BSD-3
+PySAL (π₯26 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 790 Β· π 330 - 33% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/holoviz/geoviews
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 7.9K / month Β· π¦ 35 Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
```
- pip install geoviews
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 200K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 520K Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge geoviews
+ conda install -c conda-forge pysal
```
EarthPy (π₯25 Β· β 460) - A package built to support working with spatial data using open source.. BSD-3
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 250 Β· π 230 - 10% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 260 Β· π 230 - 10% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/earthlab/earthpy
@@ -3768,29 +3760,29 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pymap3d (π₯24 Β· β 340 Β· π€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 15 Β· π 79 Β· π¦ 320 Β· π 53 - 16% open Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 15 Β· π 79 Β· π¦ 330 Β· π 53 - 16% open Β· β±οΈ 05.03.2023):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 78K / month Β· π¦ 21 Β· β±οΈ 05.03.2023):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 76K / month Β· π¦ 21 Β· β±οΈ 05.03.2023):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 62K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 64K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
-- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
+- Geocoder (π₯32 Β· β 1.6K Β· π) - Python Geocoder. MIT
- Satpy (π₯31 Β· β 960) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯27 Β· β 920 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+- Sentinelsat (π₯26 Β· β 930) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT βοΈAGPL-3.0
-- geoplotlib (π₯20 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
+- prettymaps (π₯22 Β· β 10K Β· π€) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
+- geoplotlib (π₯21 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3800,42 +3792,58 @@ _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 (π₯39 Β· β 10K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (π₯39 Β· β 11K) - Download market data from Yahoo! Finances API. Apache-2
- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 93 Β· π 2K Β· π¦ 29K Β· π 1.2K - 14% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.1M / month Β· π¦ 270 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 1M / month Β· π¦ 270 Β· β±οΈ 04.10.2023):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 81K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 82K Β· β±οΈ 16.06.2023):
```
conda install -c ranaroussi yfinance
```
ta (π₯31 Β· β 3.8K) - Technical Analysis Library using Pandas and Numpy. MIT
+
+- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 820 Β· π¦ 2.7K Β· π 230 - 54% open Β· β±οΈ 02.11.2023):
+
+ ```
+ git clone https://github.com/bukosabino/ta
+ ```
+- [PyPi](https://pypi.org/project/ta) (π₯ 86K / month Β· π¦ 44 Β· β±οΈ 02.11.2023):
+ ```
+ pip install ta
+ ```
+- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 21K Β· β±οΈ 02.11.2023):
+ ```
+ conda install -c conda-forge ta
+ ```
+Qlib (π₯30 Β· β 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.1K Β· π₯ 390 Β· π¦ 21 Β· π 870 - 25% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.2K Β· π₯ 390 Β· π¦ 21 Β· π 870 - 25% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
```
pip install pyqlib
```
IB-insync (π₯29 Β· β 2.4K) - Python sync/async framework for Interactive Brokers API. BSD-2
-- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 580 Β· π 540 - 0% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 580 Β· π 540 - 1% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 30K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 28K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3851,55 +3859,55 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 8.5K / month Β· π¦ 27 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/bt) (π₯ 8.1K / month Β· π¦ 27 Β· β±οΈ 21.04.2021):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 18K Β· β±οΈ 15.10.2023):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 19K Β· β±οΈ 15.10.2023):
```
conda install -c conda-forge bt
```
ffn (π₯29 Β· β 1.6K) - ffn - a financial function library for Python. MIT
+Alpha Vantage (π₯28 Β· β 4K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 30 Β· π 270 Β· π¦ 380 Β· π 120 - 18% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 42 Β· π 700 Β· π¦ 420 Β· π 280 - 2% open Β· β±οΈ 25.12.2022):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 150K / month Β· π¦ 30 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 23K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
```
- pip install ffn
+ pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.8K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 5.8K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge alpha_vantage
```
Alpha Vantage (π₯28 Β· β 4K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
+ffn (π₯28 Β· β 1.6K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 42 Β· π 700 Β· π¦ 410 Β· π 280 - 2% open Β· β±οΈ 25.12.2022):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 30 Β· π 270 Β· π¦ 380 Β· π 120 - 19% open Β· β±οΈ 14.09.2023):
```
- git clone https://github.com/RomelTorres/alpha_vantage
+ git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 24K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 150K / month Β· π¦ 30 Β· β±οΈ 21.04.2021):
```
- pip install alpha_vantage
+ pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 5.6K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.9K Β· β±οΈ 15.06.2023):
```
- conda install -c conda-forge alpha_vantage
+ conda install -c conda-forge ffn
```
stockstats (π₯26 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+stockstats (π₯27 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 9 Β· π 290 Β· π¦ 940 Β· π 120 - 9% open Β· β±οΈ 30.07.2023):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 9 Β· π 290 Β· π¦ 950 Β· π 120 - 10% open Β· β±οΈ 30.07.2023):
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.4K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 10K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
@@ -3911,55 +3919,54 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/gbeced/pyalgotrade
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 790 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 920 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
```
pip install pyalgotrade
```
FinQuant (π₯22 Β· β 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
+FinQuant (π₯23 Β· β 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
-- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 7 Β· π 160 Β· π¦ 84 Β· π 47 - 31% open Β· β±οΈ 03.09.2023):
+- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 160 Β· π¦ 85 Β· π 48 - 33% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 1.2K / month):
+- [PyPi](https://pypi.org/project/FinQuant) (π₯ 870 / month Β· β±οΈ 04.09.2023):
```
pip install FinQuant
```
tf-quant-finance (π₯20 Β· β 4K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯20 Β· β 4.1K) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 530 Β· π 64 - 56% open Β· β±οΈ 15.08.2023):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 390 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 460 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
finmarketpy (π₯20 Β· β 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+finmarketpy (π₯20 Β· β 3.2K Β· π€) - Python library for backtesting trading strategies &.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 480 Β· π₯ 47 Β· π¦ 10 Β· π 28 - 85% open Β· β±οΈ 26.04.2023):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 480 Β· π₯ 47 Β· π¦ 11 Β· π 28 - 85% open Β· β±οΈ 26.04.2023):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 110 / month Β· β±οΈ 07.10.2021):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 140 / month Β· β±οΈ 07.10.2021):
```
pip install finmarketpy
```
Show 14 hidden projects...
+Show 13 hidden projects...
- zipline (π₯32 Β· β 17K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- pyfolio (π₯32 Β· β 5.2K Β· π) - Portfolio and risk analytics in Python. Apache-2
- arch (π₯31 Β· β 1.2K) - ARCH models in Python. βUnlicensed
-- backtrader (π₯29 Β· β 12K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- ta (π₯29 Β· β 3.8K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
-- empyrical (π₯28 Β· β 1.1K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
+- backtrader (π₯29 Β· β 12K Β· π€) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- empyrical (π₯28 Β· β 1.1K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- Alphalens (π₯26 Β· β 2.9K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
- TensorTrade (π₯25 Β· β 4.3K Β· π) - An open source reinforcement learning framework for.. Apache-2
- Enigma Catalyst (π₯25 Β· β 2.4K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
@@ -3979,16 +3986,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯39 Β· β 7K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 300 Β· π 1.2K Β· π₯ 84 Β· π¦ 1.8K Β· π 2K - 35% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 310 Β· π 1.2K Β· π₯ 84 Β· π¦ 1.8K Β· π 2K - 35% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 810K / month Β· π¦ 55 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 830K / month Β· π¦ 55 Β· β±οΈ 06.11.2023):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 910K Β· β±οΈ 19.10.2023):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 920K Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge sktime-all-extras
```
@@ -4000,7 +4007,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 870K / month Β· π¦ 130 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 850K / month Β· π¦ 130 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
@@ -4009,9 +4016,21 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge prophet
```
NeuralProphet (π₯33 Β· β 3.3K) - NeuralProphet: A simple forecasting package. MIT
+
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 50 Β· π 440 Β· π¦ 320 Β· π 500 - 8% open Β· β±οΈ 07.11.2023):
+
+ ```
+ git clone https://github.com/ourownstory/neural_prophet
+ ```
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 68K / month Β· π¦ 3 Β· β±οΈ 19.09.2023):
+ ```
+ pip install neuralprophet
+ ```
+tslearn (π₯33 Β· β 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 990 Β· π 310 - 38% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 1K Β· π 310 - 38% open Β· β±οΈ 04.11.2023):
```
git clone https://github.com/tslearn-team/tslearn
@@ -4027,64 +4046,36 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pmdarima (π₯33 Β· β 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 220 Β· π¦ 6.4K Β· π 320 - 14% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 6.5K Β· π 320 - 15% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.6M / month):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.7M / month Β· π¦ 86 Β· β±οΈ 23.10.2023):
```
pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 27.10.2023):
```
conda install -c conda-forge pmdarima
```
NeuralProphet (π₯32 Β· β 3.3K) - NeuralProphet: A simple forecasting package. MIT
-
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 45 Β· π 430 Β· π¦ 310 Β· π 490 - 8% open Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/ourownstory/neural_prophet
- ```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 69K / month Β· π¦ 3 Β· β±οΈ 19.09.2023):
- ```
- pip install neuralprophet
- ```
-StatsForecast (π₯32 Β· β 3.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 32 Β· π 210 Β· π¦ 530 Β· π 240 - 42% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 32 Β· π 220 Β· π¦ 550 Β· π 250 - 42% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 440K / month Β· π¦ 21 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 520K / month Β· π¦ 21 Β· β±οΈ 23.08.2023):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 53K Β· β±οΈ 25.08.2023):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 54K Β· β±οΈ 25.08.2023):
```
conda install -c conda-forge statsforecast
```
STUMPY (π₯32 Β· β 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 35 Β· π 270 Β· π¦ 550 Β· π 460 - 11% open Β· β±οΈ 17.10.2023):
-
- ```
- git clone https://github.com/TDAmeritrade/stumpy
- ```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 260K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
- ```
- pip install stumpy
- ```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 940K Β· β±οΈ 21.08.2023):
- ```
- conda install -c conda-forge stumpy
- ```
-tsfresh (π₯31 Β· β 7.8K) - Automatic extraction of relevant features from time series:. MIT
- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 91 Β· π 1.2K Β· π¦ 21 Β· π 530 - 11% open Β· β±οΈ 24.10.2023):
@@ -4103,7 +4094,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (π₯31 Β· β 6.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 720 Β· π¦ 400 Β· π 1.2K - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 720 Β· π¦ 400 Β· π 1.2K - 19% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/unit8co/darts
@@ -4116,55 +4107,71 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 420 Β· β±οΈ 16.09.2023):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 430 Β· β±οΈ 16.09.2023):
```
docker pull unit8/darts
```
GluonTS (π₯31 Β· β 3.9K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 740 Β· π 880 - 30% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 750 Β· π 890 - 30% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 250K / month Β· π¦ 13 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 320K / month Β· π¦ 13 Β· β±οΈ 27.10.2023):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 590 Β· β±οΈ 23.06.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 620 Β· β±οΈ 23.06.2023):
```
conda install -c anaconda gluonts
```
STUMPY (π₯31 Β· β 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 35 Β· π 270 Β· π¦ 560 Β· π 460 - 11% open Β· β±οΈ 17.10.2023):
+
+ ```
+ git clone https://github.com/TDAmeritrade/stumpy
+ ```
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 260K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
+ ```
+ pip install stumpy
+ ```
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 950K Β· β±οΈ 21.08.2023):
+ ```
+ conda install -c conda-forge stumpy
+ ```
+pytorch-forecasting (π₯29 Β· β 3.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 520 Β· π 710 - 60% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 520 Β· π 710 - 60% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 58K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
```
pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 51K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 52K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pytorch-forecasting
```
NeuralForecast (π₯29 Β· β 1.9K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 31 Β· π 200 Β· π¦ 55 Β· π 360 - 23% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 31 Β· π 200 Β· π¦ 61 Β· π 370 - 23% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 05.10.2023):
```
pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 11K Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 12K Β· β±οΈ 06.10.2023):
```
conda install -c conda-forge neuralforecast
```
@@ -4176,23 +4183,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 130K / month):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 120K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
```
pip install pyts
```
-- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 21K Β· β±οΈ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 22K Β· β±οΈ 18.06.2023):
```
conda install -c conda-forge pyts
```
skforecast (π₯28 Β· β 700) - Time series forecasting with scikit-learn models. BSD-3
+skforecast (π₯27 Β· β 710) - Time series forecasting with scikit-learn models. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 8 Β· π 86 Β· π¦ 190 Β· π 100 - 18% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 9 Β· π 88 Β· π¦ 200 Β· π 100 - 13% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 38K / month Β· π¦ 6 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 37K / month Β· π¦ 6 Β· β±οΈ 26.09.2023):
```
pip install skforecast
```
@@ -4213,14 +4220,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge streamz
```
TSFEL (π₯24 Β· β 740) - An intuitive library to extract features from time series. BSD-3
+TSFEL (π₯25 Β· β 750) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 110 Β· π¦ 96 Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 130 Β· π¦ 98 Β· π 68 - 7% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 24K / month):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· β±οΈ 22.08.2023):
```
pip install tsfel
```
@@ -4232,25 +4239,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 100K / month Β· π¦ 1 Β· β±οΈ 29.01.2023):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 83K / month Β· π¦ 1 Β· β±οΈ 29.01.2023):
```
pip install orbit-ml
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 4.4K Β· β±οΈ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 4.5K Β· β±οΈ 18.06.2023):
```
conda install -c conda-forge orbit-ml
```
luminol (π₯22 Β· β 1.1K) - Anomaly Detection and Correlation library. Apache-2
+greykite (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/linkedin/luminol) (π¨βπ» 9 Β· π 220 Β· π¦ 76 Β· π 43 - 72% open Β· β±οΈ 09.05.2023):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 100 Β· π₯ 4 Β· π¦ 24 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
```
- git clone https://github.com/linkedin/luminol
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/luminol) (π₯ 9.5K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 13K / month Β· β±οΈ 15.07.2022):
```
- pip install luminol
+ pip install greykite
```
tick (π₯22 Β· β 440 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
@@ -4260,55 +4267,55 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/X-DataInitiative/tick
```
-- [PyPi](https://pypi.org/project/tick) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
+- [PyPi](https://pypi.org/project/tick) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
```
pip install tick
```
greykite (π₯21 Β· β 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2
+luminol (π₯21 Β· β 1.1K) - Anomaly Detection and Correlation library. Apache-2
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 100 Β· π₯ 4 Β· π¦ 23 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
+- [GitHub](https://github.com/linkedin/luminol) (π¨βπ» 9 Β· π 220 Β· π¦ 76 Β· π 43 - 72% open Β· β±οΈ 09.05.2023):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/linkedin/luminol
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 13K / month):
+- [PyPi](https://pypi.org/project/luminol) (π₯ 8K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
```
- pip install greykite
+ pip install luminol
```
Auto TS (π₯19 Β· β 620) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+Auto TS (π₯19 Β· β 630) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 9 Β· π 100 Β· π 83 - 1% open Β· β±οΈ 17.05.2023):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 10 Β· π 100 Β· β±οΈ 02.11.2023):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 4K / month Β· β±οΈ 16.08.2022):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 4K / month Β· β±οΈ 02.11.2023):
```
pip install auto-ts
```
pydlm (π₯19 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 95 Β· π¦ 32 Β· π 47 - 78% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 32 Β· π 49 - 75% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 32K / month):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 30K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
```
pip install pydlm
```
tsflex (π₯17 Β· β 320) - Flexible time series feature extraction & processing. MIT
+tsflex (π₯17 Β· β 330) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 21 Β· π¦ 9 Β· π 44 - 59% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 22 Β· π¦ 10 Β· π 45 - 60% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 190 / month):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 240 / month Β· β±οΈ 11.10.2022):
```
pip install tsflex
```
@@ -4321,11 +4328,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
- seglearn (π₯21 Β· β 560 Β· π) - Python module for machine learning time series:. BSD-3
-- ADTK (π₯20 Β· β 970 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
-- matrixprofile-ts (π₯17 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
+- ADTK (π₯20 Β· β 980 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
+- matrixprofile-ts (π₯19 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
- atspy (π₯15 Β· β 500 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tsaug (π₯14 Β· β 320 Β· π) - A Python package for time series augmentation. Apache-2
-- tslumen (π₯8 Β· β 53 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
+- tslumen (π₯8 Β· β 54 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4337,7 +4344,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.2K Β· π¦ 3.1K Β· π 4.7K - 11% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.2K Β· π¦ 3.1K Β· π 4.7K - 11% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/mne-tools/mne-python
@@ -4346,19 +4353,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 330K Β· β±οΈ 06.09.2023):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 340K Β· β±οΈ 06.09.2023):
```
conda install -c conda-forge mne
```
MONAI (π₯36 Β· β 4.8K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 880 Β· π¦ 1.4K Β· π 2.8K - 11% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 880 Β· π¦ 1.5K Β· π 2.8K - 11% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 100K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/monai) (π₯ 110K / month Β· π¦ 46 Β· β±οΈ 12.10.2023):
```
pip install monai
```
@@ -4367,14 +4374,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge monai
```
Nilearn (π₯35 Β· β 1K) - Machine learning for NeuroImaging in Python. BSD-3
+Nilearn (π₯35 Β· β 1.1K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 530 Β· π₯ 140 Β· π¦ 2.6K Β· π 1.9K - 15% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 530 Β· π₯ 140 Β· π¦ 2.7K Β· π 1.9K - 15% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 50K / month Β· π¦ 280 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 49K / month Β· π¦ 280 Β· β±οΈ 29.09.2023):
```
pip install nilearn
```
@@ -4383,30 +4390,46 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nilearn
```
NIPYPE (π₯34 Β· β 700) - Workflows and interfaces for neuroimaging packages. Apache-2
+
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.7K Β· π 1.3K - 29% open Β· β±οΈ 28.09.2023):
+
+ ```
+ git clone https://github.com/nipy/nipype
+ ```
+- [PyPi](https://pypi.org/project/nipype) (π₯ 80K / month Β· π¦ 180 Β· β±οΈ 21.05.2017):
+ ```
+ pip install nipype
+ ```
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 590K Β· β±οΈ 22.09.2023):
+ ```
+ conda install -c conda-forge nipype
+ ```
+DIPY (π₯34 Β· β 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 380 Β· π¦ 900 Β· π 890 - 17% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 390 Β· π¦ 900 Β· π 890 - 17% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/dipy/dipy
```
-- [PyPi](https://pypi.org/project/dipy) (π₯ 15K / month Β· π¦ 110 Β· β±οΈ 11.03.2022):
+- [PyPi](https://pypi.org/project/dipy) (π₯ 16K / month Β· π¦ 110 Β· β±οΈ 11.03.2022):
```
pip install dipy
```
-- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 410K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 420K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dipy
```
Lifelines (π₯33 Β· β 2.2K) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 110 Β· π 560 Β· π¦ 1.9K Β· π 930 - 27% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 110 Β· π 560 Β· π¦ 1.9K Β· π 930 - 27% open Β· β±οΈ 27.10.2023):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 410K / month Β· π¦ 120 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 400K / month Β· π¦ 130 Β· β±οΈ 13.09.2023):
```
pip install lifelines
```
@@ -4417,35 +4440,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (π₯33 Β· β 900) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.3K - 6% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.3K - 7% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 23K / month Β· π¦ 16 Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/hail) (π₯ 26K / month Β· π¦ 17 Β· β±οΈ 30.10.2023):
```
pip install hail
```
NIPYPE (π₯33 Β· β 700) - Workflows and interfaces for neuroimaging packages. Apache-2
-
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.7K Β· π 1.3K - 29% open Β· β±οΈ 28.09.2023):
-
- ```
- git clone https://github.com/nipy/nipype
- ```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 78K / month Β· π¦ 170 Β· β±οΈ 21.05.2017):
- ```
- pip install nipype
- ```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 590K Β· β±οΈ 22.09.2023):
- ```
- conda install -c conda-forge nipype
- ```
-NiBabel (π₯33 Β· β 590) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 99 Β· π 250 Β· π¦ 15K Β· π 510 - 24% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 250 Β· π¦ 15K Β· π 510 - 24% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/nipy/nibabel
@@ -4454,19 +4461,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 650K Β· β±οΈ 29.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 660K Β· β±οΈ 29.09.2023):
```
conda install -c conda-forge nibabel
```
NIPY (π₯28 Β· β 350) - Neuroimaging in Python FMRI analysis package. BSD-3
-- [GitHub](https://github.com/nipy/nipy) (π¨βπ» 67 Β· π 130 Β· π¦ 210 Β· π 170 - 26% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/nipy/nipy) (π¨βπ» 68 Β· π 130 Β· π¦ 210 Β· π 170 - 26% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/nipy/nipy
```
-- [PyPi](https://pypi.org/project/nipy) (π₯ 2.1K / month Β· π¦ 50 Β· β±οΈ 29.03.2021):
+- [PyPi](https://pypi.org/project/nipy) (π₯ 1.9K / month Β· π¦ 50 Β· β±οΈ 29.03.2021):
```
pip install nipy
```
@@ -4475,30 +4482,30 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nipy
```
DeepVariant (π₯27 Β· β 2.9K Β· π) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
+DeepVariant (π₯27 Β· β 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 28 Β· π 680 Β· π₯ 4.7K Β· π 660 - 1% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 28 Β· π 680 Β· π₯ 4.7K Β· π 670 - 1% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 58K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 59K Β· β±οΈ 16.06.2023):
```
conda install -c bioconda deepvariant
```
Brainiak (π₯19 Β· β 310) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯19 Β· β 320) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 130 Β· π 200 - 38% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 130 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
-- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 1.6K Β· β 1 Β· β±οΈ 15.10.2020):
+- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 1.8K Β· β 1 Β· β±οΈ 15.10.2020):
```
docker pull brainiak/brainiak
```
@@ -4506,11 +4513,11 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 8 hidden projects...
- NiftyNet (π₯24 Β· β 1.3K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
+- MedPy (π₯23 Β· β 520 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
+- Glow (π₯20 Β· β 240 Β· π€) - An open-source toolkit for large-scale genomic analysis. Apache-2
- Medical Detection Toolkit (π₯15 Β· β 1.2K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 Apache-2 Apache-2 MIT
- MedicalNet (π₯12 Β· β 1.7K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
pytorch_tabular (π₯19 Β· β 1.1K) - A standard framework for modelling Deep Learning Models.. MIT
+carefree-learn (π₯20 Β· β 400) - Deep Learning PyTorch. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 21 Β· π 120 - 11% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 37 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 21.10.2023):
```
- git clone https://github.com/manujosephv/pytorch_tabular
+ git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 410 / month Β· β±οΈ 17.10.2023):
```
- pip install pytorch_tabular
+ pip install carefree-learn
```
carefree-learn (π₯19 Β· β 400) - Deep Learning PyTorch. MIT
+pytorch_tabular (π₯19 Β· β 1.1K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 37 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 21.10.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 21 Β· π 120 - 11% open Β· β±οΈ 19.07.2023):
```
- git clone https://github.com/carefree0910/carefree-learn
+ git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 370 / month):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.8K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
```
- pip install carefree-learn
+ pip install pytorch_tabular
```
Show 3 hidden projects...
- miceforest (π₯21 Β· β 260 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
-- upgini (π₯20 Β· β 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- deltapy (π₯13 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
+- upgini (π₯21 Β· β 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+- deltapy (π₯10 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). βUnlicensed
@@ -4560,81 +4567,81 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯39 Β· β 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯38 Β· β 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 150 Β· π 6.6K Β· π¦ 1.9K Β· π 8.1K - 11% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 180 Β· π 6.7K Β· π¦ 1.9K Β· π 8.2K - 11% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 83K / month):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 94K / month Β· π¦ 30 Β· β±οΈ 15.09.2023):
```
pip install paddleocr
```
EasyOCR (π₯36 Β· β 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (π₯35 Β· β 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.7K Β· π₯ 6.9M Β· π¦ 4.1K Β· π 880 - 33% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.7K Β· π₯ 7.1M Β· π¦ 4.2K Β· π 880 - 33% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 190K / month):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 200K / month):
```
pip install easyocr
```
OCRmyPDF (π₯33 Β· β 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯34 Β· β 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 87 Β· π 760 Β· π₯ 740 Β· π¦ 640 Β· π 1K - 9% open Β· β±οΈ 21.10.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 87 Β· π 770 Β· π₯ 910 Β· π¦ 660 Β· π 1K - 9% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 52K / month):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 51K / month):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 58K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 59K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
tesserocr (π₯31 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. MIT
+Tesseract (π₯34 Β· β 5.2K Β· π) - Python-tesseract is an optical character recognition (OCR).. Apache-2
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 57 Β· π¦ 890 Β· π 260 - 17% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 45 Β· π 680 Β· π 350 - 3% open Β· β±οΈ 07.11.2023):
```
- git clone https://github.com/sirfz/tesserocr
+ git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 64K / month):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.3M / month Β· π¦ 1.2K Β· β±οΈ 16.08.2022):
```
- pip install tesserocr
+ pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 130K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 590K Β· β±οΈ 15.10.2023):
```
- conda install -c conda-forge tesserocr
+ conda install -c conda-forge pytesseract
```
Tesseract (π₯29 Β· β 5.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
+tesserocr (π₯31 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 44 Β· π 660 Β· π 350 - 2% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 260 Β· π₯ 61 Β· π¦ 900 Β· π 270 - 18% open Β· β±οΈ 09.10.2023):
```
- git clone https://github.com/madmaze/pytesseract
+ git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.2M / month):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 63K / month Β· π¦ 72 Β· β±οΈ 09.10.2023):
```
- pip install pytesseract
+ pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 590K Β· β±οΈ 15.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 130K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pytesseract
+ conda install -c conda-forge tesserocr
```
MMOCR (π₯27 Β· β 3.8K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 85 Β· π 690 Β· π¦ 89 Β· π 850 - 13% open Β· β±οΈ 01.09.2023):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 85 Β· π 690 Β· π¦ 91 Β· π 860 - 14% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/open-mmlab/mmocr
@@ -4644,14 +4651,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
pip install mmocr
```
keras-ocr (π₯24 Β· β 1.3K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
+keras-ocr (π₯26 Β· β 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 17 Β· π 300 Β· π₯ 670K Β· π¦ 340 Β· π 200 - 45% open Β· β±οΈ 24.12.2022):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 320 Β· π₯ 690K Β· π¦ 350 Β· π 210 - 45% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
```
-- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 12K / month):
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 12K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
```
pip install keras-ocr
```
@@ -4667,26 +4674,26 @@ _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) (π₯ 2K / month):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2.3K / month):
```
pip install calamari_ocr
```
attention-ocr (π₯21 Β· β 960) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
-- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 240 Β· π¦ 26 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 240 Β· π¦ 27 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 240 / month):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 260 / month Β· β±οΈ 19.04.2019):
```
pip install aocr
```
Show 3 hidden projects...
-- pdftabextract (π₯19 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
+- pdftabextract (π₯21 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
- doc2text (π₯18 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
- Mozart (π₯10 Β· β 510 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 Ray (π₯44 Β· β 28K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
+Ray (π₯44 Β· β 29K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 930 Β· π 4.7K Β· π₯ 93 Β· π¦ 12K Β· π 16K - 20% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 940 Β· π 4.7K Β· π₯ 110 Β· π¦ 12K Β· π 16K - 20% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 2.5M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/ray) (π₯ 2.5M / month Β· π¦ 430 Β· β±οΈ 03.11.2023):
```
pip install ray
```
@@ -4754,30 +4761,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge ray-tune
```
dask (π₯43 Β· β 11K) - Parallel computing with task scheduling. BSD-3
+dask (π₯43 Β· β 12K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.6K Β· π¦ 54K Β· π 5K - 19% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.6K Β· π¦ 54K Β· π 5K - 19% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 7.5M / month Β· π¦ 3K Β· β±οΈ 14.10.2023):
+- [PyPi](https://pypi.org/project/dask) (π₯ 7.1M / month Β· π¦ 3K Β· β±οΈ 27.10.2023):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 10M Β· β±οΈ 14.10.2023):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 10M Β· β±οΈ 28.10.2023):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯41 Β· β 29K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 260 Β· π 3.4K Β· π¦ 4.6K Β· π 2.2K - 36% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 260 Β· π 3.4K Β· π¦ 4.7K Β· π 2.2K - 36% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 380K / month Β· π¦ 79 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 400K / month Β· π¦ 85 Β· β±οΈ 04.11.2023):
```
pip install deepspeed
```
@@ -4788,16 +4795,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯40 Β· β 1.5K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 700 Β· π¦ 31K Β· π 3.7K - 38% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 700 Β· π¦ 31K Β· π 3.7K - 38% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 4.5M / month Β· π¦ 1.3K Β· β±οΈ 14.10.2023):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 4.4M / month Β· π¦ 1.3K Β· β±οΈ 27.10.2023):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 12M Β· β±οΈ 14.10.2023):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 13M Β· β±οΈ 27.10.2023):
```
conda install -c conda-forge distributed
```
@@ -4809,31 +4816,31 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 52K / month Β· π¦ 36 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 55K / month Β· π¦ 36 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
H2O-3 (π₯35 Β· β 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 21 Β· π 9.2K - 29% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 21 Β· π 9.2K - 29% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 370K / month Β· π¦ 81 Β· β±οΈ 16.10.2023):
+- [PyPi](https://pypi.org/project/h2o) (π₯ 380K / month Β· π¦ 81 Β· β±οΈ 08.11.2023):
```
pip install h2o
```
BigDL (π₯35 Β· β 4.5K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2
-- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 190 Β· π 1.1K Β· π¦ 45 Β· π 2.1K - 38% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 190 Β· π 1.1K Β· π¦ 45 Β· π 2.1K - 38% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 6.6K / month Β· π¦ 1 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 4.2K / month Β· π¦ 1 Β· β±οΈ 09.11.2023):
```
pip install bigdl
```
@@ -4848,36 +4855,36 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (π₯35 Β· β 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 330 Β· π₯ 4.1K Β· π¦ 16K Β· π 720 - 7% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 330 Β· π₯ 4.1K Β· π¦ 17K Β· π 720 - 8% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 5.8K / month):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 6K / month Β· π¦ 13 Β· β±οΈ 28.04.2018):
```
pip install metrics
```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.1M Β· β±οΈ 25.09.2023):
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.2M Β· β±οΈ 25.09.2023):
```
conda install -c conda-forge torchmetrics
```
ColossalAI (π₯34 Β· β 35K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 3.9K Β· π¦ 260 Β· π 1.4K - 21% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 3.9K Β· π¦ 270 Β· π 1.4K - 21% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/hpcaitech/colossalai
```
FairScale (π₯31 Β· β 2.6K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (π₯31 Β· β 2.6K Β· π€) - PyTorch extensions for high performance and large scale.. BSD-3
- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 72 Β· π 240 Β· π¦ 3.3K Β· π 350 - 19% open Β· β±οΈ 20.04.2023):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 480K / month):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 460K / month Β· π¦ 58 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4886,14 +4893,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
SynapseML (π₯30 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
+
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 800 Β· π 720 - 45% open Β· β±οΈ 06.11.2023):
+
+ ```
+ git clone https://github.com/microsoft/SynapseML
+ ```
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 320K / month Β· π¦ 3 Β· β±οΈ 02.11.2023):
+ ```
+ pip install synapseml
+ ```
+mpi4py (π₯29 Β· β 700) - Python bindings for MPI. BSD-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 100 Β· π₯ 18K Β· π 130 - 8% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 100 Β· π₯ 18K Β· π 130 - 8% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 180K / month Β· π¦ 710 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 200K / month Β· π¦ 720 Β· β±οΈ 04.10.2023):
```
pip install mpi4py
```
@@ -4902,26 +4921,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge mpi4py
```
SynapseML (π₯28 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
+Mesh (π₯28 Β· β 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 760 Β· π 690 - 42% open Β· β±οΈ 21.10.2023):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 240 Β· π¦ 860 Β· π 110 - 85% open Β· β±οΈ 16.05.2023):
```
- git clone https://github.com/microsoft/SynapseML
+ git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 280K / month):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 61K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
```
- pip install synapseml
+ pip install mesh-tensorflow
```
Submit it (π₯28 Β· β 970) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
+Submit it (π₯28 Β· β 980) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 100 Β· π¦ 1.7K Β· π 110 - 32% open Β· β±οΈ 05.10.2023):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 160K / month Β· π¦ 15 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 170K / month Β· π¦ 15 Β· β±οΈ 05.10.2023):
```
pip install submitit
```
@@ -4930,7 +4949,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge submitit
```
dask-ml (π₯28 Β· β 870 Β· π€) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯28 Β· β 870 Β· π€) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 77 Β· π 240 Β· π¦ 880 Β· π 520 - 51% open Β· β±οΈ 24.03.2023):
@@ -4946,9 +4965,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge dask-ml
```
TensorFlowOnSpark (π₯27 Β· β 3.9K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
+TensorFlowOnSpark (π₯27 Β· β 3.9K Β· π€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
-- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 34 Β· π 960 Β· π 370 - 3% open Β· β±οΈ 27.04.2023):
+- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 34 Β· π 960 Β· π 370 - 2% open Β· β±οΈ 27.04.2023):
```
git clone https://github.com/yahoo/TensorFlowOnSpark
@@ -4962,18 +4981,6 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge tensorflowonspark
```
Mesh (π₯27 Β· β 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-
-- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 240 Β· π¦ 860 Β· π 110 - 85% open Β· β±οΈ 16.05.2023):
-
- ```
- git clone https://github.com/tensorflow/mesh
- ```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 30K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
- ```
- pip install mesh-tensorflow
- ```
-petastorm (π₯26 Β· β 1.7K Β· π€) - Petastorm library enables single machine or distributed.. Apache-2
- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 49 Β· π 280 Β· π₯ 430 Β· π¦ 140 Β· π 320 - 53% open Β· β±οΈ 03.02.2023):
@@ -4981,7 +4988,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 29K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 31K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
```
pip install petastorm
```
@@ -4993,35 +5000,35 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 3K / month Β· π¦ 6 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 2.9K / month Β· π¦ 6 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
MMLSpark (π₯23 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 790 Β· π 710 - 44% open Β· β±οΈ 21.10.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 800 Β· π 720 - 45% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/mmlspark) (β±οΈ 18.03.2020):
+- [PyPi](https://pypi.org/project/mmlspark) (π₯ 1 / month Β· β±οΈ 18.03.2020):
```
pip install mmlspark
```
Apache Singa (π₯23 Β· β 3K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 85 Β· π 1K Β· π¦ 2 Β· π 120 - 42% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 85 Β· π 1K Β· π¦ 2 Β· π 120 - 42% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/apache/singa
```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 720 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 730 Β· β±οΈ 16.06.2023):
```
conda install -c nusdbsystem singa
```
-- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 4.2K Β· β 4 Β· β±οΈ 31.05.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 4.3K Β· β 4 Β· β±οΈ 31.05.2022):
```
docker pull apache/singa
```
@@ -5033,42 +5040,46 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 640 / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
```
pip install analytics-zoo
```
mesh-transformer-jax (π₯18 Β· β 6.1K Β· π€) - Model parallel transformers in JAX and Haiku. Apache-2
+launchpad (π₯21 Β· β 300) - Launchpad is a library that simplifies writing distributed.. Apache-2
-- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (π¨βπ» 23 Β· π 870 Β· π¦ 20 Β· π 200 - 21% open Β· β±οΈ 12.01.2023):
+- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 72 Β· π 39 - 46% open Β· β±οΈ 22.08.2023):
```
- git clone https://github.com/kingoflolz/mesh-transformer-jax
+ git clone https://github.com/deepmind/launchpad
+ ```
+- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+ ```
+ pip install dm-launchpad
```
moolib (π₯10 Β· β 360 Β· π€) - A library for distributed ML training with PyTorch. MIT
+mesh-transformer-jax (π₯18 Β· β 6.1K Β· π€) - Model parallel transformers in JAX and Haiku. Apache-2
-- [GitHub](https://github.com/facebookresearch/moolib) (π¨βπ» 6 Β· π 20 Β· π¦ 3 Β· π 19 - 36% open Β· β±οΈ 12.12.2022):
+- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (π¨βπ» 23 Β· π 870 Β· π¦ 20 Β· π 200 - 22% open Β· β±οΈ 12.01.2023):
```
- git clone https://github.com/facebookresearch/moolib
+ git clone https://github.com/kingoflolz/mesh-transformer-jax
```
Show 13 hidden projects...
- DEAP (π₯33 Β· β 5.3K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- ipyparallel (π₯29 Β· β 2.5K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed MIT keras MIT keras Apache-2
- somoclu (π₯21 Β· β 250 Β· π) - Massively parallel self-organizing maps: accelerate training on.. MIT
- TensorFrames (π₯20 Β· β 750 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 Apache-2 Apache-2 Apache-2
- parallelformers (π₯17 Β· β 720 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- bluefog (π₯17 Β· β 290 Β· π€) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2
+- LazyCluster (π₯13 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
- autodist (π₯10 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2 MIT
@@ -5078,37 +5089,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
_Libraries for hyperparameter optimization, automl and neural architecture search._
-NNI (π₯34 Β· β 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-
-- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 490 Β· π 2K - 16% open Β· β±οΈ 26.10.2023):
-
- ```
- git clone https://github.com/microsoft/nni
- ```
-- [PyPi](https://pypi.org/project/nni) (π₯ 21K / month Β· π¦ 35 Β· β±οΈ 14.09.2023):
- ```
- pip install nni
- ```
-featuretools (π₯34 Β· β 6.8K) - An open source python library for automated feature engineering. BSD-3
-- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 71 Β· π 840 Β· π¦ 1.4K Β· π 970 - 17% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 71 Β· π 850 Β· π¦ 1.4K Β· π 970 - 17% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 64K / month Β· π¦ 74 Β· β±οΈ 24.07.2023):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 62K / month Β· π¦ 77 Β· β±οΈ 26.10.2023):
```
pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 170K Β· β±οΈ 24.07.2023):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 170K Β· β±οΈ 27.10.2023):
```
conda install -c conda-forge featuretools
```
Ax (π₯34 Β· β 2.2K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 150 Β· π 270 Β· π¦ 560 Β· π 610 - 8% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 160 Β· π 270 Β· π¦ 570 Β· π 610 - 8% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/facebook/Ax
@@ -5117,19 +5116,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 14K Β· β±οΈ 12.08.2023):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 15K Β· β±οΈ 12.08.2023):
```
conda install -c conda-forge ax-platform
```
NNI (π₯33 Β· β 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
+
+- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 490 Β· π 2K - 16% open Β· β±οΈ 26.10.2023):
+
+ ```
+ git clone https://github.com/microsoft/nni
+ ```
+- [PyPi](https://pypi.org/project/nni) (π₯ 19K / month Β· π¦ 35 Β· β±οΈ 14.09.2023):
+ ```
+ pip install nni
+ ```
+Hyperopt (π₯33 Β· β 6.9K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1K Β· π¦ 12K Β· π 690 - 50% open Β· β±οΈ 29.09.2023):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1K Β· π¦ 12K Β· π 700 - 49% open Β· β±οΈ 29.09.2023):
```
git clone https://github.com/hyperopt/hyperopt
```
-- [PyPi](https://pypi.org/project/hyperopt) (π₯ 2M / month Β· π¦ 500 Β· β±οΈ 17.11.2021):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 2.2M / month Β· π¦ 500 Β· β±οΈ 17.11.2021):
```
pip install hyperopt
```
@@ -5140,56 +5151,56 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (π₯33 Β· β 2.8K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 100 Β· π 330 Β· π¦ 710 Β· π 450 - 15% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 100 Β· π 340 Β· π¦ 730 Β· π 450 - 14% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 160K / month Β· π¦ 37 Β· β±οΈ 06.11.2023):
```
pip install botorch
```
-- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 89K Β· β±οΈ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 92K Β· β±οΈ 07.11.2023):
```
conda install -c conda-forge botorch
```
Keras Tuner (π₯32 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 59 Β· π 380 Β· π¦ 2.8K Β· π 460 - 43% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 59 Β· π 380 Β· π¦ 2.8K Β· π 470 - 43% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 210K / month Β· π¦ 59 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 190K / month Β· π¦ 60 Β· β±οΈ 07.11.2023):
```
pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 25K Β· β±οΈ 24.10.2023):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 26K Β· β±οΈ 24.10.2023):
```
conda install -c conda-forge keras-tuner
```
AutoKeras (π₯31 Β· β 9K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 16K Β· π¦ 580 Β· π 890 - 14% open Β· β±οΈ 02.10.2023):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 16K Β· π¦ 590 Β· π 890 - 14% open Β· β±οΈ 02.10.2023):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 13K / month Β· π¦ 11 Β· β±οΈ 30.04.2022):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 12K / month Β· π¦ 11 Β· β±οΈ 30.04.2022):
```
pip install autokeras
```
auto-sklearn (π₯31 Β· β 7.2K) - Automated Machine Learning with scikit-learn. BSD-3
+auto-sklearn (π₯31 Β· β 7.2K Β· π€) - Automated Machine Learning with scikit-learn. BSD-3
-- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 88 Β· π 1.2K Β· π₯ 50 Β· π¦ 500 Β· π 1K - 17% open Β· β±οΈ 18.04.2023):
+- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 88 Β· π 1.2K Β· π₯ 50 Β· π¦ 510 Β· π 1K - 17% open Β· β±οΈ 18.04.2023):
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 25K / month Β· π¦ 39 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 21K / month Β· π¦ 39 Β· β±οΈ 20.09.2022):
```
pip install auto-sklearn
```
@@ -5200,24 +5211,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (π₯31 Β· β 7.1K) - A Python implementation of global optimization with.. MIT
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 41 Β· π 1.5K Β· π₯ 140 Β· π¦ 2.1K Β· π 320 - 4% open Β· β±οΈ 14.07.2023):
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 41 Β· π 1.5K Β· π₯ 140 Β· π¦ 2.2K Β· π 320 - 3% open Β· β±οΈ 14.07.2023):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 200K / month Β· π¦ 100 Β· β±οΈ 25.04.2023):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 220K / month Β· π¦ 100 Β· β±οΈ 25.04.2023):
```
pip install bayesian-optimization
```
nevergrad (π₯31 Β· β 3.7K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 50 Β· π 340 Β· π¦ 550 Β· π 290 - 40% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 50 Β· π 340 Β· π¦ 560 Β· π 290 - 40% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 83K / month Β· π¦ 27 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 81K / month Β· π¦ 27 Β· β±οΈ 10.10.2023):
```
pip install nevergrad
```
@@ -5228,32 +5239,32 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (π₯29 Β· β 6.4K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 770 Β· π¦ 2 Β· π 1.1K - 23% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 780 Β· π¦ 2 Β· π 1.1K - 23% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 48K / month Β· π¦ 7 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 48K / month Β· π¦ 7 Β· β±οΈ 09.11.2023):
```
pip install autogluon
```
-- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 4.2K Β· β 15 Β· β±οΈ 26.07.2023):
+- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 4.4K Β· β 15 Β· β±οΈ 26.07.2023):
```
docker pull autogluon/autogluon
```
mljar-supervised (π₯29 Β· β 2.8K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 23 Β· π 360 Β· π¦ 89 Β· π 580 - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 23 Β· π 370 Β· π¦ 90 Β· π 580 - 21% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 5.8K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 5.9K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
```
pip install mljar-supervised
```
-- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 11K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 12K Β· β±οΈ 27.09.2023):
```
conda install -c conda-forge mljar-supervised
```
@@ -5265,12 +5276,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/maxpumperla/hyperas
```
-- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (π₯ 12K / month Β· π¦ 24 Β· β±οΈ 28.02.2019):
```
pip install hyperas
```
GPyOpt (π₯25 Β· β 890 Β· π€) - Gaussian Process Optimization using GPy. BSD-3
+GPyOpt (π₯25 Β· β 900 Β· π€) - Gaussian Process Optimization using GPy. BSD-3
- [GitHub](https://github.com/SheffieldML/GPyOpt) (π¨βπ» 49 Β· π 250 Β· π¦ 460 Β· π 290 - 35% open Β· β±οΈ 17.01.2023):
@@ -5282,120 +5293,109 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install gpyopt
```
FEDOT (π₯24 Β· β 560) - Automated modeling and machine learning framework FEDOT. BSD-3
+featurewiz (π₯24 Β· β 490) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 29 Β· π 77 Β· π¦ 41 Β· π 490 - 15% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 16 Β· π 83 Β· π¦ 55 Β· π 81 - 6% open Β· β±οΈ 01.11.2023):
```
- git clone https://github.com/nccr-itmo/FEDOT
+ git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 01.11.2023):
```
- pip install fedot
+ pip install featurewiz
```
featurewiz (π₯23 Β· β 480) - Use advanced feature engineering strategies and select best.. Apache-2
+FEDOT (π₯23 Β· β 560) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 9 Β· π 76 Β· π¦ 53 Β· π 74 - 6% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 29 Β· π 77 Β· π¦ 41 Β· π 490 - 15% open Β· β±οΈ 01.11.2023):
```
- git clone https://github.com/AutoViML/featurewiz
+ git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.9K / month Β· π¦ 2 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 990 / month Β· π¦ 1 Β· β±οΈ 25.07.2023):
```
- pip install featurewiz
+ pip install fedot
```
Hyperactive (π₯23 Β· β 470) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 21 Β· π 61 - 14% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 21 Β· π 61 - 14% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 4K / month Β· π¦ 5 Β· β±οΈ 24.10.2023):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 5.9K / month Β· π¦ 5 Β· β±οΈ 24.10.2023):
```
pip install hyperactive
```
Auto ViML (π₯21 Β· β 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+igel (π₯20 Β· β 3.1K Β· π€) - a delightful machine learning tool that allows you to train, test, and.. MIT
-- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 8 Β· π 94 Β· π¦ 22 Β· π 29 - 13% open Β· β±οΈ 21.05.2023):
+- [GitHub](https://github.com/nidhaloff/igel) (π¨βπ» 20 Β· π 170 Β· π₯ 40 Β· π¦ 4 Β· π 50 - 12% open Β· β±οΈ 08.04.2023):
```
- git clone https://github.com/AutoViML/Auto_ViML
+ git clone https://github.com/nidhaloff/igel
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/igel) (π₯ 180 / month Β· β±οΈ 19.11.2021):
```
- pip install autoviml
+ pip install igel
```
AlphaPy (π₯20 Β· β 980) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 180 Β· π¦ 4 Β· π 42 - 30% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 180 Β· π¦ 4 Β· π 42 - 30% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 170 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 220 / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
igel (π₯19 Β· β 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT
-
-- [GitHub](https://github.com/nidhaloff/igel) (π¨βπ» 20 Β· π 170 Β· π₯ 40 Β· π¦ 4 Β· π 50 - 12% open Β· β±οΈ 08.04.2023):
-
- ```
- git clone https://github.com/nidhaloff/igel
- ```
-- [PyPi](https://pypi.org/project/igel) (π₯ 78 / month Β· β±οΈ 19.11.2021):
- ```
- pip install igel
- ```
-Dragonfly (π₯19 Β· β 800 Β· π€) - An open source python library for scalable Bayesian optimisation. MIT
+opytimizer (π₯19 Β· β 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
-- [GitHub](https://github.com/dragonfly/dragonfly) (π¨βπ» 13 Β· π 220 Β· π 59 - 66% open Β· β±οΈ 01.10.2022):
+- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 38 Β· π¦ 16 Β· β±οΈ 22.09.2023):
```
- git clone https://github.com/dragonfly/dragonfly
+ git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 01.10.2022):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 200 / month Β· β±οΈ 04.05.2022):
```
- pip install dragonfly-opt
+ pip install opytimizer
```
opytimizer (π₯19 Β· β 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
+Auto ViML (π₯19 Β· β 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
-- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 38 Β· π¦ 15 Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 8 Β· π 94 Β· π¦ 23 Β· π 29 - 10% open Β· β±οΈ 21.05.2023):
```
- git clone https://github.com/gugarosa/opytimizer
+ git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 280 / month Β· β±οΈ 04.05.2022):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 01.06.2022):
```
- pip install opytimizer
+ pip install autoviml
```
Show 30 hidden projects...
+Show 31 hidden projects...
-- Optuna (π₯39 Β· β 8.8K) - A hyperparameter optimization framework. βUnlicensed
+- Optuna (π₯39 Β· β 8.9K) - A hyperparameter optimization framework. βUnlicensed
- TPOT (π₯33 Β· β 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 BSD-3
-- SMAC3 (π₯26 Β· β 920) - SMAC3: A Versatile Bayesian Optimization Package for.. βοΈBSD-1-Clause
-- lazypredict (π₯25 Β· β 2.2K Β· π) - Lazy Predict help build a lot of basic models without much.. MIT BSD-3
-- AdaNet (π₯23 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 βοΈBSD-1-Clause
+- lazypredict (π₯26 Β· β 2.2K Β· π) - Lazy Predict help build a lot of basic models without much.. MIT Apache-2 BSD-3
- Talos (π₯23 Β· β 1.6K Β· π) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT MIT
-- MLBox (π₯22 Β· β 1.4K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Test Tube (π₯22 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
- HpBandSter (π₯22 Β· β 590 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
-- lightwood (π₯22 Β· β 380) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 βοΈBSD-1-Clause
- Neuraxle (π₯21 Β· β 580 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- lightwood (π₯21 Β· β 390) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 MIT MIT
- Auto Tune Models (π₯18 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
- shap-hypetune (π₯18 Β· β 500 Β· π) - A python package for simultaneous Hyperparameters Tuning and.. MIT
- Sherpa (π₯18 Β· β 320 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
@@ -5404,11 +5404,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- HyperparameterHunter (π₯16 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- Parfit (π₯16 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT Apache-2
-- ENAS (π₯13 Β· β 2.6K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
+- ENAS (π₯13 Β· β 2.7K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
- Auptimizer (π₯12 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
+- Hypermax (π₯12 Β· β 110) - Better, faster hyper-parameter optimization. BSD-3
- model_search (π₯11 Β· β 3.2K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
-- Hypermax (π₯11 Β· β 110) - Better, faster hyper-parameter optimization. BSD-3
- Hypertunity (π₯9 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -5419,49 +5419,49 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-OpenAI Gym (π₯40 Β· β 33K Β· π€) - A toolkit for developing and comparing reinforcement learning.. MIT
+OpenAI Gym (π₯41 Β· β 33K Β· π€) - A toolkit for developing and comparing reinforcement learning.. MIT
- [GitHub](https://github.com/openai/gym) (π¨βπ» 380 Β· π 8.6K Β· π¦ 47K Β· π 1.8K - 3% open Β· β±οΈ 30.01.2023):
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (π₯ 410K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
+- [PyPi](https://pypi.org/project/gym) (π₯ 530K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
```
pip install gym
```
-- [Conda](https://anaconda.org/conda-forge/gym) (π₯ 250K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gym) (π₯ 260K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge gym
```
TF-Agents (π₯32 Β· β 2.6K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 140 Β· π 690 Β· π¦ 1.3K Β· π 640 - 28% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 140 Β· π 690 Β· π¦ 1.3K Β· π 640 - 28% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 35K / month Β· π¦ 5 Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 37K / month Β· π¦ 5 Β· β±οΈ 03.10.2023):
```
pip install tf-agents
```
ViZDoom (π₯31 Β· β 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
-- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 53 Β· π 360 Β· π₯ 12K Β· π¦ 200 Β· π 460 - 9% open Β· β±οΈ 27.09.2023):
+- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 53 Β· π 360 Β· π₯ 12K Β· π¦ 210 Β· π 460 - 8% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 2.7K / month Β· π¦ 16 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 1.1K / month Β· π¦ 16 Β· β±οΈ 27.09.2023):
```
pip install vizdoom
```
FinRL (π₯29 Β· β 8.2K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (π₯29 Β· β 8.3K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2K Β· π¦ 23 Β· π 640 - 26% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2K Β· π¦ 24 Β· π 640 - 26% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
@@ -5478,7 +5478,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 39K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 40K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
```
pip install dopamine-rl
```
@@ -5490,47 +5490,47 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 980 / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
-- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 7.7K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 7.8K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dm-acme
```
TensorLayer (π₯27 Β· β 7.2K Β· π€) - Deep Learning and Reinforcement Learning Library for.. Apache-2
-- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 1.7K Β· π 470 - 6% open Β· β±οΈ 18.02.2023):
+- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 1.8K Β· π 470 - 6% open Β· β±οΈ 18.02.2023):
```
git clone https://github.com/tensorlayer/tensorlayer
```
-- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.4K / month Β· π¦ 40 Β· β±οΈ 15.02.2022):
+- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.6K / month Β· π¦ 40 Β· β±οΈ 15.02.2022):
```
pip install tensorlayer
```
TensorForce (π₯27 Β· β 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+TensorForce (π₯26 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 84 Β· π 540 Β· π¦ 430 Β· π 660 - 5% open Β· β±οΈ 14.08.2023):
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 540 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 690 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
RLax (π₯26 Β· β 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 79 Β· π¦ 170 Β· π 30 - 40% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 82 Β· π¦ 170 Β· π 30 - 40% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 340K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 410K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
@@ -5542,26 +5542,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 590 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
garage (π₯25 Β· β 1.7K Β· π€) - A toolkit for reproducible reinforcement learning research. MIT
-- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 79 Β· π 290 Β· π¦ 90 Β· π 1K - 22% open Β· β±οΈ 04.01.2023):
+- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 79 Β· π 300 Β· π¦ 90 Β· π 1K - 22% open Β· β±οΈ 04.01.2023):
```
git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/garage) (π₯ 590 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
+- [PyPi](https://pypi.org/project/garage) (π₯ 610 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
```
pip install garage
```
ReAgent (π₯23 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
+ReAgent (π₯24 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 500 Β· π 140 - 47% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 500 Β· π 140 - 47% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/facebookresearch/ReAgent
@@ -5573,12 +5573,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
PFRL (π₯21 Β· β 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
-- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 19 Β· π 140 Β· π¦ 92 Β· π 78 - 42% open Β· β±οΈ 16.07.2023):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 19 Β· π 140 Β· π¦ 94 Β· π 78 - 42% open Β· β±οΈ 16.07.2023):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 470 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 480 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
@@ -5590,14 +5590,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/IntelLabs/coach
```
-- [PyPi](https://pypi.org/project/rl_coach) (π₯ 89 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (π₯ 120 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
```
pip install rl_coach
```
rliable (π₯13 Β· β 620) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
+rliable (π₯13 Β· β 630) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
-- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 41 Β· π¦ 92 Β· π 13 - 15% open Β· β±οΈ 29.05.2023):
+- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 41 Β· π¦ 95 Β· π 13 - 15% open Β· β±οΈ 29.05.2023):
```
git clone https://github.com/google-research/rliable
@@ -5609,13 +5609,13 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 8 hidden projects...
+- baselines (π₯29 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
- keras-rl (π₯29 Β· β 5.4K Β· π) - Deep Reinforcement Learning for Keras. MIT MIT
- Stable Baselines (π₯24 Β· β 3.9K Β· π) - A fork of OpenAI Baselines, implementations of.. MIT
- ChainerRL (π₯24 Β· β 1.1K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
- TRFL (π₯22 Β· β 3.1K Β· π) - TensorFlow Reinforcement Learning. Apache-2 MIT
- DeepMind Lab (π₯17 Β· β 6.9K Β· π€) - A customisable 3D platform for agent-based AI research. βUnlicensed
-- SerpentAI (π₯16 Β· β 6.6K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- Maze (π₯12 Β· β 250 Β· π€) - Maze Applied Reinforcement Learning Framework. βοΈCustom
@@ -5628,7 +5628,7 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (π₯34 Β· β 17K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 440 Β· π¦ 87 Β· π 810 - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 440 Β· π¦ 87 Β· π 810 - 19% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/microsoft/recommenders
@@ -5640,28 +5640,28 @@ _Libraries for building and evaluating recommendation systems._
implicit (π₯31 Β· β 3.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
-- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 620 Β· π¦ 1.1K Β· π 480 - 15% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 620 Β· π¦ 1.2K Β· π 480 - 15% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 180K / month Β· π¦ 38 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 220K / month Β· π¦ 39 Β· β±οΈ 29.09.2023):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 540K Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 550K Β· β±οΈ 12.10.2023):
```
conda install -c conda-forge implicit
```
lightfm (π₯30 Β· β 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
+lightfm (π₯29 Β· β 4.5K Β· π€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
-- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 47 Β· π 670 Β· π¦ 1.2K Β· π 490 - 27% open Β· β±οΈ 30.04.2023):
+- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 47 Β· π 670 Β· π¦ 1.3K Β· π 490 - 27% open Β· β±οΈ 30.04.2023):
```
git clone https://github.com/lyst/lightfm
```
-- [PyPi](https://pypi.org/project/lightfm) (π₯ 690K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/lightfm) (π₯ 670K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
```
pip install lightfm
```
@@ -5672,12 +5672,12 @@ _Libraries for building and evaluating recommendation systems._
TF Recommenders (π₯29 Β· β 1.7K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 240 Β· π¦ 250 Β· π 420 - 55% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 240 Β· π¦ 260 Β· π 420 - 55% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 370K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 380K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
```
pip install tensorflow-recommenders
```
@@ -5689,7 +5689,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 140K / month Β· π¦ 50 Β· β±οΈ 23.09.2022):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 130K / month Β· π¦ 50 Β· β±οΈ 23.09.2022):
```
pip install scikit-surprise
```
@@ -5705,58 +5705,58 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 100K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 88K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
```
pip install tensorflow_ranking
```
torchrec (π₯28 Β· β 1.6K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 180 Β· π 280 Β· π¦ 70 Β· π 110 - 13% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 180 Β· π 290 Β· π¦ 73 Β· π 230 - 57% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 61 / month):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 67 / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯28 Β· β 760) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 180 Β· π 130 - 5% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 180 Β· π 130 - 5% open Β· β±οΈ 04.11.2023):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 110K / month Β· π¦ 16 Β· β±οΈ 20.10.2023):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 100K / month Β· π¦ 16 Β· β±οΈ 20.10.2023):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 320K Β· β±οΈ 25.10.2023):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 330K Β· β±οΈ 25.10.2023):
```
conda install -c conda-forge cornac
```
RecBole (π₯26 Β· β 2.9K) - A unified, comprehensive and efficient recommendation library. MIT
+RecBole (π₯27 Β· β 2.9K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 69 Β· π 540 Β· π 810 - 19% open Β· β±οΈ 14.10.2023):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 69 Β· π 550 Β· π 820 - 20% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 25.02.2022):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 3.5K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
```
pip install recbole
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4.2K Β· β±οΈ 01.11.2023):
```
conda install -c aibox recbole
```
recmetrics (π₯21 Β· β 530) - A library of metrics for evaluating recommender systems. MIT
+recmetrics (π₯21 Β· β 540) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 5 Β· π¦ 45 Β· π 28 - 46% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 5 Β· π¦ 46 Β· π 28 - 46% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
@@ -5772,9 +5772,9 @@ _Libraries for building and evaluating recommendation systems._
- tensorrec (π₯21 Β· β 1.2K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 BSD-3
- Spotlight (π₯18 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. MIT MIT MIT Apache-2
- Collie (π₯16 Β· β 100 Β· π€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 Apache-2
@@ -5786,52 +5786,52 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯35 Β· β 9K) - Perform data science on data that remains in someone elses server. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 1.9K Β· π₯ 230 Β· π 3.5K - 4% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 1.9K Β· π₯ 470 Β· π 3.5K - 4% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 5.6K / month Β· π¦ 5 Β· β±οΈ 22.10.2023):
+- [PyPi](https://pypi.org/project/syft) (π₯ 6.7K / month Β· π¦ 5 Β· β±οΈ 09.11.2023):
```
pip install syft
```
Opacus (π₯28 Β· β 1.5K) - Training PyTorch models with differential privacy. Apache-2
+TensorFlow Privacy (π₯27 Β· β 1.8K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 73 Β· π 290 Β· π₯ 100 Β· π¦ 670 Β· π 260 - 27% open Β· β±οΈ 06.09.2023):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 56 Β· π 430 Β· π₯ 120 Β· π 200 - 55% open Β· β±οΈ 24.10.2023):
```
- git clone https://github.com/pytorch/opacus
- ```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 31K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
- ```
- pip install opacus
+ git clone https://github.com/tensorflow/privacy
```
-- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 12K Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 18K / month Β· π¦ 14 Β· β±οΈ 11.10.2023):
```
- conda install -c conda-forge opacus
+ pip install tensorflow-privacy
```
TensorFlow Privacy (π₯27 Β· β 1.8K) - Library for training machine learning models with.. Apache-2
+Opacus (π₯27 Β· β 1.5K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 56 Β· π 430 Β· π₯ 120 Β· π 200 - 55% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 73 Β· π 300 Β· π₯ 100 Β· π¦ 680 Β· π 260 - 25% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/tensorflow/privacy
+ git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 17K / month Β· π¦ 14 Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 37K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
```
- pip install tensorflow-privacy
+ pip install opacus
+ ```
+- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 12K Β· β±οΈ 18.06.2023):
+ ```
+ conda install -c conda-forge opacus
```
FATE (π₯26 Β· β 5.2K) - An Industrial Grade Federated Learning Framework. Apache-2
+FATE (π₯26 Β· β 5.3K) - An Industrial Grade Federated Learning Framework. Apache-2
-- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 92 Β· π 1.5K Β· π 1.8K - 43% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 94 Β· π 1.5K Β· π 1.8K - 43% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/FederatedAI/FATE
```
-- [PyPi](https://pypi.org/project/ETAF) (β±οΈ 06.05.2020):
+- [PyPi](https://pypi.org/project/ETAF) (π₯ 3 / month Β· β±οΈ 06.05.2020):
```
pip install ETAF
```
@@ -5843,7 +5843,7 @@ _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) (π₯ 400 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 470 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
@@ -5855,14 +5855,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
Show 1 hidden projects...
-- PipelineDP (π₯20 Β· β 260) - PipelineDP is a Python framework for applying differentially.. Apache-2
+- PipelineDP (π₯21 Β· β 260) - PipelineDP is a Python framework for applying differentially.. Apache-2
@@ -5874,92 +5874,92 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 16K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 660 Β· π 3.6K Β· π¦ 25K Β· π 3.5K - 35% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 670 Β· π 3.6K Β· π¦ 26K Β· π 3.5K - 35% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 14M / month Β· π¦ 490 Β· β±οΈ 17.09.2023):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 14M / month Β· π¦ 500 Β· β±οΈ 29.10.2023):
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 1.6M Β· β±οΈ 21.09.2023):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 1.6M Β· β±οΈ 29.10.2023):
```
conda install -c conda-forge mlflow
```
Tensorboard (π₯43 Β· β 6.4K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 190K Β· π 1.9K - 34% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 200K Β· π 1.9K - 34% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.8K Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 22M / month Β· π¦ 2.8K Β· β±οΈ 02.11.2023):
```
pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.4M Β· β±οΈ 20.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.4M Β· β±οΈ 03.11.2023):
```
conda install -c conda-forge tensorboard
```
wandb client (π₯41 Β· β 7.4K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 540 Β· π¦ 31K Β· π 2.8K - 26% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 550 Β· π¦ 32K Β· π 2.8K - 27% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 7.4M / month):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 7.8M / month Β· π¦ 630 Β· β±οΈ 07.11.2023):
```
pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 400K Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 420K Β· β±οΈ 04.10.2023):
```
conda install -c conda-forge wandb
```
DVC (π₯40 Β· β 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
+DVC (π₯40 Β· β 12K) - ML Experiments Management with Git. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 40K Β· π¦ 10K Β· π 4.5K - 12% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 41K Β· π¦ 10K Β· π 4.5K - 12% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 760K / month Β· π¦ 83 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 860K / month Β· π¦ 83 Β· β±οΈ 31.10.2023):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 24.10.2023):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 31.10.2023):
```
conda install -c conda-forge dvc
```
SageMaker SDK (π₯38 Β· β 1.9K) - A library for training and deploying machine learning.. Apache-2
+SageMaker SDK (π₯38 Β· β 2K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 400 Β· π 1K Β· π¦ 3.1K Β· π 1.4K - 35% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 410 Β· π 1K Β· π¦ 3.2K Β· π 1.4K - 35% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 31M / month Β· π¦ 87 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 35M / month Β· π¦ 87 Β· β±οΈ 07.11.2023):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 690K Β· β±οΈ 26.10.2023):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 690K Β· β±οΈ 07.11.2023):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯37 Β· β 7.8K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯37 Β· β 7.9K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.7K Β· π₯ 670 Β· π¦ 4.6K Β· π 2.2K - 14% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.7K Β· π₯ 670 Β· π¦ 4.6K Β· π 2.2K - 14% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 270K / month Β· π¦ 14 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 310K / month Β· π¦ 14 Β· β±οΈ 11.09.2023):
```
pip install pycaret
```
@@ -5982,7 +5982,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (π₯35 Β· β 2K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 310 Β· π 460 Β· π¦ 1.7K Β· π 1.4K - 60% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 310 Β· π 460 Β· π¦ 1.7K Β· π 1.4K - 60% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/snakemake/snakemake
@@ -5991,19 +5991,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 890K Β· β±οΈ 17.10.2023):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 910K Β· β±οΈ 17.10.2023):
```
conda install -c bioconda snakemake
```
tensorboardX (π₯34 Β· β 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
+tensorboardX (π₯33 Β· β 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 81 Β· π 870 Β· π₯ 400 Β· π¦ 36K Β· π 450 - 17% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.2M / month Β· π¦ 980 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.4M / month Β· π¦ 980 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -6014,28 +6014,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (π₯33 Β· β 7.1K) - Build and manage real-life data science projects with ease!. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 74 Β· π 680 Β· π¦ 540 Β· π 620 - 47% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 75 Β· π 680 Β· π¦ 550 Β· π 620 - 46% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 150K / month Β· π¦ 26 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 170K / month Β· π¦ 26 Β· β±οΈ 03.11.2023):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 150K Β· β±οΈ 18.10.2023):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 150K Β· β±οΈ 04.11.2023):
```
conda install -c conda-forge metaflow
```
ClearML (π₯33 Β· β 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 87 Β· π 600 Β· π₯ 1.7K Β· π¦ 760 Β· π 900 - 43% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 88 Β· π 600 Β· π₯ 1.7K Β· π¦ 780 Β· π 900 - 43% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 240K / month Β· π¦ 13 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 230K / month Β· π¦ 14 Β· β±οΈ 08.11.2023):
```
pip install clearml
```
@@ -6046,12 +6046,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (π₯31 Β· β 5.6K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 21 Β· π 410 - 31% open Β· β±οΈ 17.07.2023):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 21 Β· π 420 - 32% open Β· β±οΈ 17.07.2023):
```
git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 190K / month Β· π¦ 370 Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 200K / month Β· π¦ 370 Β· β±οΈ 19.09.2023):
```
pip install kaggle
```
@@ -6060,14 +6060,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge kaggle
```
Neptune.ai (π₯31 Β· β 410) - The MLOps stack component for experiment tracking. Apache-2
+Neptune.ai (π₯31 Β· β 420) - The MLOps stack component for experiment tracking. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 52 Β· π 51 Β· π 230 - 15% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 52 Β· π 49 Β· π 230 - 15% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 530K / month Β· π¦ 44 Β· β±οΈ 20.10.2023):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 540K / month Β· π¦ 44 Β· β±οΈ 20.10.2023):
```
pip install neptune-client
```
@@ -6083,99 +6083,111 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 160K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 180K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
```
pip install visualdl
```
aim (π₯30 Β· β 4.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 58 Β· π 250 Β· π¦ 340 Β· π 940 - 32% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 58 Β· π 250 Β· π¦ 350 Β· π 940 - 32% open Β· β±οΈ 18.10.2023):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month):
+- [PyPi](https://pypi.org/project/aim) (π₯ 110K / month Β· π¦ 15 Β· β±οΈ 08.11.2023):
```
pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 39K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 40K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge aim
```
sacred (π₯29 Β· β 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
-- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 370 Β· π¦ 2.6K Β· π 560 - 17% open Β· β±οΈ 19.06.2023):
+- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 380 Β· π¦ 2.7K Β· π 560 - 17% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 29K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 22K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 4.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 4.2K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sacred
```
ml-metadata (π₯28 Β· β 560) - For recording and retrieving metadata associated with ML.. Apache-2
+quinn (π₯28 Β· β 530) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 120 Β· π₯ 2.1K Β· π¦ 360 Β· π 100 - 26% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 23 Β· π 74 Β· π₯ 9 Β· π¦ 72 Β· π 85 - 41% open Β· β±οΈ 05.11.2023):
```
- git clone https://github.com/google/ml-metadata
+ git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 96K / month Β· π¦ 22 Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 860K / month Β· π¦ 6 Β· β±οΈ 17.02.2023):
```
- pip install ml-metadata
+ pip install quinn
```
Labml (π₯26 Β· β 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
+Labml (π₯27 Β· β 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 110 Β· π¦ 110 Β· π 38 - 47% open Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 110 Β· π¦ 110 Β· π 38 - 47% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 1.7K / month Β· π¦ 6 Β· β±οΈ 10.09.2023):
+- [PyPi](https://pypi.org/project/labml) (π₯ 2.7K / month Β· π¦ 6 Β· β±οΈ 10.09.2023):
```
pip install labml
```
ml-metadata (π₯27 Β· β 570) - For recording and retrieving metadata associated with ML.. Apache-2
+
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 120 Β· π₯ 2.1K Β· π¦ 360 Β· π 100 - 26% open Β· β±οΈ 24.10.2023):
+
+ ```
+ git clone https://github.com/google/ml-metadata
+ ```
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 74K / month Β· π¦ 22 Β· β±οΈ 10.08.2023):
+ ```
+ pip install ml-metadata
+ ```
+TNT (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 110 Β· π 240 Β· π 82 - 25% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 110 Β· π 240 Β· π 82 - 25% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.9K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 6.6K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
Guild AI (π₯25 Β· β 820) - Experiment tracking, ML developer tools. Apache-2
+Guild AI (π₯22 Β· β 830 Β· π) - Experiment tracking, ML developer tools. Apache-2
-- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 81 Β· π₯ 14 Β· π¦ 83 Β· π 440 - 50% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 81 Β· π₯ 14 Β· π¦ 84 Β· π 440 - 50% open Β· β±οΈ 12.08.2023):
```
git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 1.9K / month Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 2.3K / month Β· β±οΈ 11.05.2022):
```
pip install guildai
```
TensorWatch (π₯21 Β· β 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
+TensorWatch (π₯20 Β· β 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
- [GitHub](https://github.com/microsoft/tensorwatch) (π¨βπ» 15 Β· π 360 Β· π¦ 130 Β· π 70 - 75% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/microsoft/tensorwatch
```
-- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 860 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
+- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 600 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
```
pip install tensorwatch
```
@@ -6187,38 +6199,37 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/studioml) (π₯ 120 / month Β· β±οΈ 14.09.2021):
+- [PyPi](https://pypi.org/project/studioml) (π₯ 79 / month Β· β±οΈ 14.09.2021):
```
pip install studioml
```
caliban (π₯16 Β· β 490) - Research workflows made easy, locally and in the Cloud. Apache-2
-- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 71 Β· π¦ 1 Β· π 34 - 55% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 70 Β· π¦ 1 Β· π 34 - 55% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 38 / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 32 / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
Show 17 hidden projects...
+Show 16 hidden projects...
- Catalyst (π₯29 Β· β 3.2K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
-- quinn (π₯25 Β· β 520) - pyspark methods to enhance developer productivity. βUnlicensed MIT
-- livelossplot (π₯23 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT βοΈBSD-1-Clause MIT MIT βοΈBSD-1-Clause MIT
+- hiddenlayer (π₯22 Β· β 1.7K Β· π) - Neural network graphs and training metrics for.. MIT MIT
- TensorBoard Logger (π₯20 Β· β 620 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
- MXBoard (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
- keepsake (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. Apache-2
- datmo (π₯17 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
-- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
+- chitra (π₯17 Β· β 220 Β· π€) - A multi-functional library for full-stack Deep Learning... Apache-2
- steppy (π₯16 Β· β 140 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- CometML (π₯13) - Supercharging Machine Learning. βUnlicensed
@@ -6234,47 +6245,47 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 16K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 19K Β· π¦ 20K Β· π 2.6K - 11% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 19K Β· π¦ 20K Β· π 2.6K - 11% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 4.1M / month Β· π¦ 610 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 4.3M / month Β· π¦ 620 Β· β±οΈ 26.10.2023):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 860K Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 880K Β· β±οΈ 07.11.2023):
```
conda install -c conda-forge onnx
```
triton (π₯41 Β· β 8.6K) - Development repository for the Triton language and compiler. MIT
+triton (π₯41 Β· β 8.7K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/openai/triton) (π¨βπ» 180 Β· π 890 Β· π¦ 9.3K Β· π 850 - 39% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/openai/triton) (π¨βπ» 180 Β· π 910 Β· π¦ 10K Β· π 880 - 39% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/triton) (π₯ 6.1M / month Β· π¦ 69 Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/triton) (π₯ 6.8M / month Β· π¦ 72 Β· β±οΈ 01.09.2023):
```
pip install triton
```
BentoML (π₯35 Β· β 5.8K) - Build Production-Grade AI Applications. Apache-2
+BentoML (π₯35 Β· β 5.9K) - Build Production-Grade AI Applications. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 180 Β· π 650 Β· π₯ 2.1K Β· π¦ 1.3K Β· π 950 - 19% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 190 Β· π 660 Β· π₯ 2.1K Β· π¦ 1.4K Β· π 960 - 18% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 65K / month Β· π¦ 11 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 66K / month Β· π¦ 11 Β· β±οΈ 07.11.2023):
```
pip install bentoml
```
TorchServe (π₯35 Β· β 3.7K) - Serve, optimize and scale PyTorch models in production. Apache-2
+TorchServe (π₯35 Β· β 3.8K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 760 Β· π₯ 5.3K Β· π¦ 520 Β· π 1.4K - 21% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 760 Β· π₯ 5.3K Β· π¦ 540 Β· π 1.4K - 20% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/pytorch/serve
@@ -6283,7 +6294,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 120K Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 130K Β· β±οΈ 12.10.2023):
```
conda install -c pytorch torchserve
```
@@ -6294,32 +6305,32 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (π₯35 Β· β 1.3K) - All the open source things related to the Hugging Face Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 120 Β· π 300 Β· π 610 - 16% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 120 Β· π 310 Β· π 620 - 16% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 21M / month Β· π¦ 480 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 23M / month Β· π¦ 510 Β· β±οΈ 08.11.2023):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 1.4M Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 1.5M Β· β±οΈ 08.11.2023):
```
conda install -c conda-forge huggingface_hub
```
Core ML Tools (π₯32 Β· β 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
+Core ML Tools (π₯33 Β· β 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 550 Β· π₯ 8.8K Β· π¦ 3.4K Β· π 1.2K - 20% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 560 Β· π₯ 8.9K Β· π¦ 3.4K Β· π 1.3K - 21% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 190K / month Β· π¦ 160 Β· β±οΈ 18.09.2023):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 210K / month Β· π¦ 170 Β· β±οΈ 01.11.2023):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 52K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 53K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge coremltools
```
@@ -6331,78 +6342,67 @@ _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) (π₯ 13K / month Β· π¦ 3 Β· β±οΈ 10.06.2020):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 10.06.2020):
```
pip install hummingbird-ml
```
-- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (π₯ 36K Β· β±οΈ 12.07.2023):
+- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (π₯ 37K Β· β±οΈ 12.07.2023):
```
conda install -c conda-forge hummingbird-ml
```
hls4ml (π₯25 Β· β 950) - Machine learning on FPGAs using HLS. Apache-2
+hls4ml (π₯24 Β· β 960) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 56 Β· π 340 Β· π 380 - 36% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 56 Β· π 360 Β· π 400 - 39% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 600 / month Β· β±οΈ 12.11.2021):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 630 / month Β· β±οΈ 08.11.2023):
```
pip install hls4ml
```
-- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 6.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hls4ml
```
m2cgen (π₯24 Β· β 2.6K Β· π€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-
-- [GitHub](https://github.com/BayesWitnesses/m2cgen) (π¨βπ» 14 Β· π 220 Β· π₯ 54 Β· π¦ 170 Β· π 120 - 39% open Β· β±οΈ 05.10.2022):
-
- ```
- git clone https://github.com/BayesWitnesses/m2cgen
- ```
-- [PyPi](https://pypi.org/project/m2cgen) (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 26.04.2022):
- ```
- pip install m2cgen
- ```
-nebullvm (π₯23 Β· β 8.3K) - The user analytics platform for LLMs. Apache-2
-- [GitHub](https://github.com/nebuly-ai/nebuly) (π¨βπ» 40 Β· π 650 Β· π 200 - 48% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/nebuly-ai/nebuly) (π¨βπ» 40 Β· π 650 Β· π 200 - 48% open Β· β±οΈ 28.10.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 580 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 610 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
cortex (π₯23 Β· β 8K Β· π€) - Production infrastructure for machine learning at scale. Apache-2
+cortex (π₯22 Β· β 8K Β· π€) - Production infrastructure for machine learning at scale. Apache-2
- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 24 Β· π 610 Β· π 1.1K - 10% open Β· β±οΈ 04.03.2023):
```
git clone https://github.com/cortexlabs/cortex
```
-- [PyPi](https://pypi.org/project/cortex) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 23.09.2022):
+- [PyPi](https://pypi.org/project/cortex) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 23.09.2022):
```
pip install cortex
```
Show 9 hidden projects...
+Show 10 hidden projects...
- mmdnn (π₯26 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
+- m2cgen (π₯25 Β· β 2.6K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
- sklearn-porter (π₯23 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
+- Larq Compute Engine (π₯20 Β· β 230) - Highly optimized inference engine for Binarized.. Apache-2
- pytorch2keras (π₯19 Β· β 840 Β· π) - PyTorch to Keras model convertor. MIT
- OMLT (π₯19 Β· β 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
- modelkit (π₯16 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
- tfdeploy (π₯15 Β· β 350 Β· π) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 βUnlicensed βUnlicensed
+- backprop (π₯13 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
@@ -6414,12 +6414,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (π₯41 Β· β 20K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 230 Β· π 3K Β· π¦ 14K Β· π 2.3K - 60% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 230 Β· π 3K Β· π¦ 14K Β· π 2.3K - 60% open Β· β±οΈ 04.11.2023):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 7.3M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/shap) (π₯ 7.3M / month Β· π¦ 430 Β· β±οΈ 09.10.2023):
```
pip install shap
```
@@ -6430,12 +6430,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
arviz (π₯35 Β· β 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 150 Β· π 350 Β· π₯ 130 Β· π¦ 5K Β· π 830 - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 150 Β· π 350 Β· π₯ 130 Β· π¦ 5.1K Β· π 830 - 20% open Β· β±οΈ 30.10.2023):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 1.5M / month Β· π¦ 140 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/arviz) (π₯ 1.4M / month Β· π¦ 140 Β· β±οΈ 18.07.2023):
```
pip install arviz
```
@@ -6446,96 +6446,96 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯34 Β· β 24K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 63K Β· π¦ 10 Β· π 1K - 2% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 66K Β· π¦ 10 Β· π 1K - 2% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 16K / month Β· π¦ 73 Β· β±οΈ 21.10.2023):
+- [PyPi](https://pypi.org/project/netron) (π₯ 18K / month Β· π¦ 73 Β· β±οΈ 04.11.2023):
```
pip install netron
```
InterpretML (π₯33 Β· β 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT
+InterpretML (π₯33 Β· β 5.8K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 39 Β· π 680 Β· π¦ 540 Β· π 390 - 17% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 39 Β· π 680 Β· π¦ 550 Β· π 390 - 17% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/interpretml/interpret
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 77K / month Β· π¦ 28 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 85K / month Β· π¦ 28 Β· β±οΈ 26.08.2023):
```
pip install interpret
```
evaluate (π₯32 Β· β 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
+Captum (π₯32 Β· β 4.3K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 180 Β· π¦ 4.4K Β· π 250 - 51% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 440 Β· π¦ 1.6K Β· π 500 - 34% open Β· β±οΈ 07.11.2023):
```
- git clone https://github.com/huggingface/evaluate
+ git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 1.1M / month Β· π¦ 130 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/captum) (π₯ 120K / month Β· π¦ 46 Β· β±οΈ 27.12.2022):
```
- pip install evaluate
+ pip install captum
+ ```
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 18K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge captum
```
Captum (π₯31 Β· β 4.2K) - Model interpretability and understanding for PyTorch. BSD-3
+evaluate (π₯32 Β· β 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 440 Β· π¦ 1.5K Β· π 480 - 32% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 180 Β· π¦ 4.7K Β· π 250 - 51% open Β· β±οΈ 02.11.2023):
```
- git clone https://github.com/pytorch/captum
- ```
-- [PyPi](https://pypi.org/project/captum) (π₯ 130K / month):
- ```
- pip install captum
+ git clone https://github.com/huggingface/evaluate
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 17K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 1.4M / month Β· π¦ 130 Β· β±οΈ 13.10.2023):
```
- conda install -c conda-forge captum
+ pip install evaluate
```
DoWhy (π₯30 Β· β 6.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 82 Β· π 860 Β· π₯ 33 Β· π¦ 300 Β· π 410 - 30% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 82 Β· π 860 Β· π₯ 33 Β· π¦ 300 Β· π 420 - 30% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 34K / month Β· π¦ 7 Β· β±οΈ 05.09.2023):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 38K / month Β· π¦ 7 Β· β±οΈ 05.09.2023):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 17K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 18K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dowhy
```
dtreeviz (π₯30 Β· β 2.7K) - A python library for decision tree visualization and model interpretation. MIT
-- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 25 Β· π 320 Β· π¦ 920 Β· π 190 - 29% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 25 Β· π 320 Β· π¦ 940 Β· π 190 - 29% open Β· β±οΈ 13.07.2023):
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 150K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 180K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 61K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 62K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
explainerdashboard (π₯30 Β· β 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 20 Β· π 290 Β· π¦ 380 Β· π 220 - 11% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 20 Β· π 290 Β· π¦ 390 Β· π 220 - 12% open Β· β±οΈ 01.08.2023):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 57K / month):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 65K / month Β· π¦ 9 Β· β±οΈ 01.08.2023):
```
pip install explainerdashboard
```
@@ -6544,190 +6544,178 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge explainerdashboard
```
fairlearn (π₯30 Β· β 1.7K) - A Python package to assess and improve fairness of machine.. MIT
-
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 76 Β· π 360 Β· π¦ 2 Β· π 460 - 38% open Β· β±οΈ 25.10.2023):
-
- ```
- git clone https://github.com/fairlearn/fairlearn
- ```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 520K / month Β· π¦ 24 Β· β±οΈ 27.07.2023):
- ```
- pip install fairlearn
- ```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 30K Β· β±οΈ 28.07.2023):
- ```
- conda install -c conda-forge fairlearn
- ```
-Alibi (π₯29 Β· β 2.2K) - Algorithms for explaining machine learning models. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 19 Β· π 230 Β· π¦ 530 Β· π 360 - 37% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 19 Β· π 230 Β· π¦ 530 Β· π 360 - 37% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/SeldonIO/alibi
```
-- [PyPi](https://pypi.org/project/alibi) (π₯ 27K / month Β· π¦ 25 Β· β±οΈ 07.07.2023):
+- [PyPi](https://pypi.org/project/alibi) (π₯ 22K / month Β· π¦ 25 Β· β±οΈ 07.07.2023):
```
pip install alibi
```
pyLDAvis (π₯29 Β· β 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3
+pyLDAvis (π₯29 Β· β 1.7K Β· π€) - Python library for interactive topic model visualization... BSD-3
- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 39 Β· π 360 Β· π¦ 5.4K Β· π 180 - 45% open Β· β±οΈ 24.04.2023):
```
git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 250K / month Β· π¦ 160 Β· β±οΈ 24.03.2021):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 240K / month Β· π¦ 160 Β· β±οΈ 24.03.2021):
```
pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 75K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 76K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pyldavis
```
responsible-ai-widgets (π₯29 Β· β 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+fairlearn (π₯29 Β· β 1.7K) - A Python package to assess and improve fairness of machine.. MIT
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 39 Β· π 250 Β· π¦ 68 Β· π 300 - 26% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 76 Β· π 360 Β· π¦ 2 Β· π 460 - 38% open Β· β±οΈ 27.10.2023):
```
- git clone https://github.com/microsoft/responsible-ai-toolbox
+ git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 5.1K / month Β· π¦ 3 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 330K / month Β· π¦ 24 Β· β±οΈ 27.07.2023):
```
- pip install raiwidgets
+ pip install fairlearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 30K Β· β±οΈ 28.07.2023):
+ ```
+ conda install -c conda-forge fairlearn
```
LIT (π₯28 Β· β 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
+Model Analysis (π₯29 Β· β 1.2K) - Model analysis tools for TensorFlow. Apache-2
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 24 Β· π 120 - 36% open Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 56 Β· π 270 Β· π 87 - 39% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/PAIR-code/lit
- ```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 22.09.2023):
- ```
- pip install lit-nlp
+ git clone https://github.com/tensorflow/model-analysis
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 65K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 100K / month Β· π¦ 23 Β· β±οΈ 14.08.2023):
```
- conda install -c conda-forge lit-nlp
+ pip install tensorflow-model-analysis
```
shapash (π₯28 Β· β 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
+responsible-ai-widgets (π₯29 Β· β 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT
-- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 35 Β· π 290 Β· π¦ 130 Β· π 180 - 18% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 39 Β· π 250 Β· π¦ 71 Β· π 300 - 26% open Β· β±οΈ 03.11.2023):
```
- git clone https://github.com/MAIF/shapash
+ git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 7K / month Β· π¦ 2 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 5.9K / month Β· π¦ 3 Β· β±οΈ 17.10.2023):
```
- pip install shapash
+ pip install raiwidgets
```
imodels (π₯28 Β· β 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT
+LIT (π₯28 Β· β 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 57 Β· π 77 - 33% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 25 Β· π 170 - 54% open Β· β±οΈ 08.11.2023):
```
- git clone https://github.com/csinva/imodels
+ git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 140K / month Β· π¦ 4 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 08.11.2023):
```
- pip install imodels
+ pip install lit-nlp
+ ```
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 66K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge lit-nlp
```
Explainability 360 (π₯27 Β· β 1.4K) - Interpretability and explainability of data and.. Apache-2
+shapash (π₯28 Β· β 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 85 Β· π 83 - 65% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 35 Β· π 300 Β· π¦ 130 Β· π 180 - 18% open Β· β±οΈ 03.11.2023):
```
- git clone https://github.com/Trusted-AI/AIX360
+ git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 960 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 5.9K / month Β· π¦ 2 Β· β±οΈ 20.09.2023):
```
- pip install aix360
+ pip install shapash
```
Model Analysis (π₯27 Β· β 1.2K) - Model analysis tools for TensorFlow. Apache-2
+imodels (π₯28 Β· β 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 56 Β· π 250 Β· π 73 - 27% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 57 Β· π 77 - 33% open Β· β±οΈ 02.11.2023):
```
- git clone https://github.com/tensorflow/model-analysis
+ git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 270K / month):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 150K / month Β· π¦ 4 Β· β±οΈ 05.10.2023):
```
- pip install tensorflow-model-analysis
+ pip install imodels
```
yellowbrick (π₯26 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
+yellowbrick (π₯26 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 110 Β· π 550 Β· π 700 - 12% open Β· β±οΈ 05.07.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 410K / month Β· π¦ 81 Β· β±οΈ 21.08.2022):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 440K / month Β· π¦ 83 Β· β±οΈ 21.08.2022):
```
pip install yellowbrick
```
-- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 71K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 72K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge yellowbrick
```
Fairness 360 (π₯26 Β· β 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
+Fairness 360 (π₯26 Β· β 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 69 Β· π 770 Β· π¦ 310 Β· π 260 - 64% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 69 Β· π 770 Β· π¦ 320 Β· π 260 - 64% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 6K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 6.1K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
```
pip install aif360
```
-- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 7.1K Β· β±οΈ 14.10.2023):
+- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 7.5K Β· β±οΈ 14.10.2023):
```
conda install -c conda-forge aif360
```
CausalNex (π₯26 Β· β 2K) - A Python library that helps data scientists to infer.. Apache-2
+CausalNex (π₯26 Β· β 2K) - A Python library that helps data scientists to infer.. Apache-2
-- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 35 Β· π 230 Β· π¦ 99 Β· π 130 - 11% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 35 Β· π 230 Β· π¦ 100 Β· π 130 - 12% open Β· β±οΈ 11.07.2023):
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 4.8K / month):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 3.7K / month Β· π¦ 3 Β· β±οΈ 11.11.2021):
```
pip install causalnex
```
iNNvestigate (π₯26 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
+iNNvestigate (π₯26 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
-- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 20 Β· π 230 Β· π₯ 81 Β· π¦ 110 Β· π 260 - 19% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 20 Β· π 240 Β· π₯ 82 Β· π¦ 110 Β· π 260 - 20% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 830 / month):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 750 / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
```
pip install innvestigate
```
checklist (π₯25 Β· β 1.9K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
+checklist (π₯25 Β· β 2K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 15 Β· π 190 Β· π¦ 290 Β· π 120 - 29% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/marcotcr/checklist
```
-- [PyPi](https://pypi.org/project/checklist) (π₯ 3.6K / month Β· π¦ 7 Β· β±οΈ 24.05.2021):
+- [PyPi](https://pypi.org/project/checklist) (π₯ 4.3K / month Β· π¦ 7 Β· β±οΈ 24.05.2021):
```
pip install checklist
```
@@ -6736,14 +6724,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge checklist
```
Explainability 360 (π₯25 Β· β 1.4K) - Interpretability and explainability of data and.. Apache-2
+
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 86 Β· π 83 - 65% open Β· β±οΈ 22.08.2023):
+
+ ```
+ git clone https://github.com/Trusted-AI/AIX360
+ ```
+- [PyPi](https://pypi.org/project/aix360) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+ ```
+ pip install aix360
+ ```
+DiCE (π₯24 Β· β 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 40% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 42% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 55K / month Β· π¦ 5 Β· β±οΈ 02.06.2022):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 43K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
pip install dice-ml
```
@@ -6755,48 +6755,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 4.4K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
+- [PyPi](https://pypi.org/project/keract) (π₯ 5.6K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
```
pip install keract
```
ecco (π₯21 Β· β 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
+What-If Tool (π₯22 Β· β 850 Β· π€) - Source code/webpage/demos for the What-If Tool. Apache-2
-- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 150 Β· π₯ 67 Β· π¦ 27 Β· π 57 - 45% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 160 Β· π 140 - 58% open Β· β±οΈ 27.04.2023):
```
- git clone https://github.com/jalammar/ecco
+ git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 410 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 4.6K / month Β· π¦ 4 Β· β±οΈ 12.10.2021):
```
- pip install ecco
+ pip install witwidget
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (π₯ 2.1M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge tensorboard-plugin-wit
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.1K Β· β±οΈ 16.06.2023):
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 12.10.2021):
```
- conda install -c conda-forge ecco
+ npm install wit-widget
```
What-If Tool (π₯21 Β· β 840) - Source code/webpage/demos for the What-If Tool. Apache-2
+ecco (π₯21 Β· β 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
-- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 150 Β· π 120 - 53% open Β· β±οΈ 27.04.2023):
+- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 150 Β· π₯ 67 Β· π¦ 27 Β· π 57 - 45% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/PAIR-code/what-if-tool
- ```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 3.8K / month):
- ```
- pip install witwidget
+ git clone https://github.com/jalammar/ecco
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (π₯ 2.1M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 400 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
- conda install -c conda-forge tensorboard-plugin-wit
+ pip install ecco
```
-- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 1.1K / month):
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.2K Β· β±οΈ 16.06.2023):
```
- npm install wit-widget
+ conda install -c conda-forge ecco
```
aequitas (π₯21 Β· β 570) - Bias and Fairness Audit Toolkit. MIT
+aequitas (π₯21 Β· β 580) - Bias and Fairness Audit Toolkit. MIT
- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 18 Β· π 98 Β· π¦ 140 Β· π 71 - 67% open Β· β±οΈ 20.08.2023):
@@ -6810,50 +6810,50 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
model-card-toolkit (π₯20 Β· β 390) - A toolkit that streamlines and automates the generation.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 79 Β· π₯ 9 Β· π¦ 21 Β· π 30 - 23% open Β· β±οΈ 26.07.2023):
+- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 79 Β· π₯ 9 Β· π¦ 21 Β· π 33 - 30% open Β· β±οΈ 26.07.2023):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.3K / month):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
```
pip install model-card-toolkit
```
fairness-indicators (π₯19 Β· β 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
+fairness-indicators (π₯18 Β· β 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 33 Β· π 78 Β· π 30 - 70% open Β· β±οΈ 16.08.2023):
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 4.7K / month):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 3.5K / month Β· β±οΈ 13.12.2022):
```
pip install fairness-indicators
```
sklearn-evaluation (π₯18 Β· β 360 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT
+LOFO (π₯17 Β· β 780 Β· π€) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/edublancas/sklearn-evaluation) (π¨βπ» 19 Β· π 41 Β· β±οΈ 13.01.2023):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 5 Β· π 77 Β· π¦ 27 Β· π 28 - 21% open Β· β±οΈ 14.04.2023):
```
- git clone https://github.com/edublancas/sklearn-evaluation
+ git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/sklearn-evaluation) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 28.12.2020):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 27.04.2022):
```
- pip install sklearn-evaluation
+ pip install lofo-importance
```
LOFO (π₯16 Β· β 770) - Leave One Feature Out Importance. MIT
+sklearn-evaluation (π₯17 Β· β 360 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 5 Β· π 77 Β· π¦ 27 Β· π 25 - 12% open Β· β±οΈ 14.04.2023):
+- [GitHub](https://github.com/edublancas/sklearn-evaluation) (π¨βπ» 19 Β· π 41 Β· β±οΈ 13.01.2023):
```
- git clone https://github.com/aerdem4/lofo-importance
+ git clone https://github.com/edublancas/sklearn-evaluation
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 1.2K / month):
+- [PyPi](https://pypi.org/project/sklearn-evaluation) (π₯ 1.7K / month Β· π¦ 5 Β· β±οΈ 28.12.2020):
```
- pip install lofo-importance
+ pip install sklearn-evaluation
```
FlashTorch (π₯16 Β· β 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
@@ -6863,7 +6863,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MisaOgura/flashtorch
```
-- [PyPi](https://pypi.org/project/flashtorch) (π₯ 220 / month Β· β±οΈ 29.05.2020):
+- [PyPi](https://pypi.org/project/flashtorch) (π₯ 330 / month Β· β±οΈ 29.05.2020):
```
pip install flashtorch
```
@@ -6880,27 +6880,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install interpret-text
```
Show 19 hidden projects...
+Show 20 hidden projects...
- Lime (π₯33 Β· β 11K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
-- Deep Checks (π₯28 Β· β 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βUnlicensed
+- Deep Checks (π₯29 Β· β 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
- scikit-plot (π₯28 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT MIT
- Lucid (π₯25 Β· β 4.6K Β· π) - A collection of infrastructure and tools for research in.. Apache-2 βοΈGPL-3.0
- keras-vis (π₯24 Β· β 3K Β· π) - Neural network visualization toolkit for keras. MIT MIT BSD-3 MIT MIT
-- Quantus (π₯21 Β· β 420) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
-- TreeInterpreter (π₯20 Β· β 730 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 Apache-2 MIT
-- Anchor (π₯16 Β· β 760 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
+- deeplift (π₯21 Β· β 770 Β· π) - Public facing deeplift repo. MIT
+- Quantus (π₯21 Β· β 430) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
+- tcav (π₯20 Β· β 590 Β· π) - Code for the TCAV ML interpretability project. Apache-2 MIT
+- Anchor (π₯16 Β· β 770 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
+- Skater (π₯15 Β· β 1.1K Β· π) - Python Library for Model Interpretation/Explanations. βοΈUPL-1.0
- ExplainX.ai (π₯14 Β· β 370 Β· π) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- Attribution Priors (π₯12 Β· β 120 Β· π) - Tools for training explainable models using.. MIT Apache-2
-- bias-detector (π₯10 Β· β 43 Β· π) - MIT
+- contextual-ai (π₯12 Β· β 86 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
+- bias-detector (π₯11 Β· β 43 Β· π) - Bias Detector is a python package for detecting bias in machine.. MIT
@@ -6910,43 +6911,43 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
_Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._
-π ANN Benchmarks ( β 4.1K) - Benchmarks of approximate nearest neighbor libraries in Python.
+π ANN Benchmarks ( β 4.2K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (π₯41 Β· β 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.5K Β· π₯ 50K Β· π 9.4K - 7% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.5K Β· π₯ 53K Β· π 9.5K - 7% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 490K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 6.7M Β· β 37 Β· β±οΈ 26.10.2023):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 7.4M Β· β 37 Β· β±οΈ 09.11.2023):
```
docker pull milvusdb/milvus
```
Faiss (π₯38 Β· β 25K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 140 Β· π 3.1K Β· π¦ 3.2K Β· π 2.2K - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 140 Β· π 3.1K Β· π¦ 3.2K Β· π 2.2K - 16% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 490K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 960K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 980K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge faiss
```
Annoy (π₯35 Β· β 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
-- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.1K Β· π¦ 3.2K Β· π 400 - 13% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.1K Β· π¦ 3.3K Β· π 400 - 13% open Β· β±οΈ 20.08.2023):
```
git clone https://github.com/spotify/annoy
@@ -6962,12 +6963,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (π₯31 Β· β 3.6K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 65 Β· π 500 Β· π¦ 5.2K Β· π 320 - 53% open Β· β±οΈ 05.02.2023):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 65 Β· π 510 Β· π¦ 5.3K Β· π 320 - 53% open Β· β±οΈ 05.02.2023):
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 720K / month Β· π¦ 51 Β· β±οΈ 05.02.2023):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 740K / month Β· π¦ 51 Β· β±οΈ 05.02.2023):
```
pip install hnswlib
```
@@ -6976,14 +6977,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge hnswlib
```
PyNNDescent (π₯29 Β· β 800) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
+PyNNDescent (π₯28 Β· β 810) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 26 Β· π 98 Β· π¦ 4.6K Β· π 130 - 52% open Β· β±οΈ 12.09.2023):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 26 Β· π 100 Β· π¦ 4.7K Β· π 130 - 52% open Β· β±οΈ 12.09.2023):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 980K / month Β· π¦ 59 Β· β±οΈ 31.10.2022):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 920K / month Β· π¦ 59 Β· β±οΈ 31.10.2022):
```
pip install pynndescent
```
@@ -6992,46 +6993,46 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge pynndescent
```
USearch (π₯27 Β· β 830) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2
+USearch (π₯27 Β· β 870) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 23 Β· π 40 Β· π₯ 340 Β· π¦ 21 Β· π 64 - 31% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 24 Β· π 44 Β· π₯ 430 Β· π¦ 24 Β· π 65 - 30% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 40K / month Β· π¦ 1 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 42K / month Β· π¦ 1 Β· β±οΈ 09.11.2023):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 6.3K / month Β· π¦ 3 Β· β±οΈ 24.10.2023):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 7.9K / month Β· π¦ 4 Β· β±οΈ 09.11.2023):
```
npm install usearch
```
-- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 41 Β· β 1 Β· β±οΈ 24.10.2023):
+- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 41 Β· β 1 Β· β±οΈ 09.11.2023):
```
docker pull unum/usearch
```
NGT (π₯22 Β· β 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 14 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 14 Β· π 100 Β· π 130 - 12% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 6.2K / month Β· π¦ 8 Β· β±οΈ 21.09.2022):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 6.4K / month Β· π¦ 8 Β· β±οΈ 02.11.2023):
```
pip install ngt
```
NearPy (π₯20 Β· β 750 Β· π€) - Python framework for fast (approximated) nearest neighbour search in.. MIT
-- [GitHub](https://github.com/pixelogik/NearPy) (π¨βπ» 19 Β· π 150 Β· π¦ 91 Β· π 64 - 39% open Β· β±οΈ 22.01.2023):
+- [GitHub](https://github.com/pixelogik/NearPy) (π¨βπ» 20 Β· π 150 Β· π¦ 94 Β· π 64 - 39% open Β· β±οΈ 22.01.2023):
```
git clone https://github.com/pixelogik/NearPy
```
-- [PyPi](https://pypi.org/project/NearPy) (π₯ 670 / month Β· π¦ 16 Β· β±οΈ 27.09.2016):
+- [PyPi](https://pypi.org/project/NearPy) (π₯ 730 / month Β· π¦ 16 Β· β±οΈ 27.09.2016):
```
pip install NearPy
```
@@ -7051,7 +7052,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 3 hidden projects...
- NMSLIB (π₯31 Β· β 3.2K Β· π) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
-- Magnitude (π₯24 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
+- Magnitude (π₯23 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
- PySparNN (π₯11 Β· β 910 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -7062,14 +7063,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
_Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
-PyMC3 (π₯40 Β· β 7.8K) - Bayesian Modeling in Python. Apache-2
+PyMC3 (π₯40 Β· β 7.9K) - Bayesian Modeling in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 470 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 2.2K Β· π 3.1K - 6% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 470 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 2.2K Β· π 3.1K - 6% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 480K / month Β· π¦ 250 Β· β±οΈ 15.03.2022):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 500K / month Β· π¦ 250 Β· β±οΈ 15.03.2022):
```
pip install pymc3
```
@@ -7080,7 +7081,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (π₯37 Β· β 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 480 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 480 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/tensorflow/probability
@@ -7089,63 +7090,79 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 120K Β· β±οΈ 23.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 120K Β· β±οΈ 30.10.2023):
```
conda install -c conda-forge tensorflow-probability
```
Pyro (π₯36 Β· β 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
+Pyro (π₯35 Β· β 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 140 Β· π 970 Β· π¦ 1.7K Β· π 1.1K - 22% open Β· β±οΈ 24.10.2023):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 140 Β· π 970 Β· π¦ 1.7K Β· π 1.1K - 22% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 460K / month Β· π¦ 92 Β· β±οΈ 29.07.2023):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 360K / month Β· π¦ 92 Β· β±οΈ 29.07.2023):
```
pip install pyro-ppl
```
-- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 120K Β· β±οΈ 29.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 130K Β· β±οΈ 29.07.2023):
```
conda install -c conda-forge pyro-ppl
```
GPyTorch (π₯31 Β· β 3.3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
-- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 120 Β· π 500 Β· π¦ 1.6K Β· π 1.3K - 24% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 120 Β· π 500 Β· π¦ 1.6K Β· π 1.3K - 24% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 210K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 200K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
```
pip install gpytorch
```
-- [Conda](https://anaconda.org/conda-forge/gpytorch) (π₯ 130K Β· β±οΈ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/gpytorch) (π₯ 140K Β· β±οΈ 11.08.2023):
```
conda install -c conda-forge gpytorch
```
pgmpy (π₯31 Β· β 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 680 Β· π₯ 290 Β· π¦ 750 Β· π 870 - 29% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 680 Β· π₯ 300 Β· π¦ 760 Β· π 870 - 29% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 55K / month Β· π¦ 31 Β· β±οΈ 16.10.2023):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 58K / month Β· π¦ 31 Β· β±οΈ 16.10.2023):
```
pip install pgmpy
```
emcee (π₯31 Β· β 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
+
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 72 Β· π 430 Β· π¦ 2.1K Β· π 280 - 17% open Β· β±οΈ 02.11.2023):
+
+ ```
+ git clone https://github.com/dfm/emcee
+ ```
+- [PyPi](https://pypi.org/project/emcee) (π₯ 90K / month Β· π¦ 350 Β· β±οΈ 10.05.2022):
+ ```
+ pip install emcee
+ ```
+- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 320K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge emcee
+ ```
+pomegranate (π₯30 Β· β 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 71 Β· π 570 Β· π¦ 990 Β· π 740 - 3% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 71 Β· π 570 Β· π¦ 1K Β· π 740 - 3% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 23K / month Β· π¦ 57 Β· β±οΈ 17.09.2023):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 22K / month Β· π¦ 58 Β· β±οΈ 17.09.2023):
```
pip install pomegranate
```
@@ -7156,7 +7173,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
-- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 83 Β· π 440 Β· π¦ 570 Β· π 820 - 17% open Β· β±οΈ 09.08.2023):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 83 Β· π 440 Β· π¦ 580 Β· π 820 - 17% open Β· β±οΈ 09.08.2023):
```
git clone https://github.com/GPflow/GPflow
@@ -7170,46 +7187,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge gpflow
```
emcee (π₯30 Β· β 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 71 Β· π 410 Β· π¦ 2.1K Β· π 280 - 16% open Β· β±οΈ 17.10.2023):
-
- ```
- git clone https://github.com/dfm/emcee
- ```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 91K / month):
- ```
- pip install emcee
- ```
-- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 310K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge emcee
- ```
-patsy (π₯30 Β· β 900 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
-
-- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 17 Β· π 100 Β· π¦ 81K Β· π 150 - 48% open Β· β±οΈ 09.10.2022):
-
- ```
- git clone https://github.com/pydata/patsy
- ```
-- [PyPi](https://pypi.org/project/patsy) (π₯ 9.6M / month Β· π¦ 2.7K Β· β±οΈ 09.10.2022):
- ```
- pip install patsy
- ```
-- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 9.2M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge patsy
- ```
-SALib (π₯30 Β· β 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
-- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 43 Β· π 220 Β· π¦ 920 Β· π 320 - 15% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 43 Β· π 220 Β· π¦ 930 Β· π 320 - 15% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 110K / month Β· π¦ 82 Β· β±οΈ 22.06.2022):
+- [PyPi](https://pypi.org/project/salib) (π₯ 110K / month Β· π¦ 83 Β· β±οΈ 22.06.2022):
```
pip install salib
```
@@ -7225,7 +7210,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 160K / month Β· π¦ 140 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 170K / month Β· π¦ 140 Β· β±οΈ 10.02.2022):
```
pip install hmmlearn
```
@@ -7236,32 +7221,48 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (π₯27 Β· β 940) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 35 Β· π 110 Β· π¦ 90 Β· π 360 - 18% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 35 Β· π 110 Β· π¦ 93 Β· π 360 - 18% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 19K / month):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 16K / month Β· π¦ 9 Β· β±οΈ 25.10.2023):
```
pip install bambi
```
-- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 27K Β· β±οΈ 02.07.2023):
+- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 28K Β· β±οΈ 27.10.2023):
```
conda install -c conda-forge bambi
```
scikit-posthocs (π₯26 Β· β 300 Β· π) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT
+
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 13 Β· π 37 Β· π₯ 39 Β· π¦ 530 Β· π 50 - 10% open Β· β±οΈ 06.11.2023):
+
+ ```
+ git clone https://github.com/maximtrp/scikit-posthocs
+ ```
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 76K / month Β· π¦ 27 Β· β±οΈ 06.11.2023):
+ ```
+ pip install scikit-posthocs
+ ```
+- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 900K Β· β±οΈ 07.11.2023):
+ ```
+ conda install -c conda-forge scikit-posthocs
+ ```
+Baal (π₯25 Β· β 800) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
-- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 21 Β· π 79 Β· π¦ 52 Β· π 110 - 22% open Β· β±οΈ 02.10.2023):
+- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 21 Β· π 79 Β· π¦ 52 Β· π 110 - 22% open Β· β±οΈ 04.11.2023):
```
git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/baal) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 02.10.2023):
```
pip install baal
```
-- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 7.2K Β· β±οΈ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 7.4K Β· β±οΈ 12.06.2023):
```
conda install -c conda-forge baal
```
@@ -7273,36 +7274,21 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 100K / month Β· π¦ 1 Β· β±οΈ 29.01.2023):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 83K / month Β· π¦ 1 Β· β±οΈ 29.01.2023):
```
pip install orbit-ml
```
scikit-posthocs (π₯21 Β· β 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
-
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 12 Β· π 37 Β· π₯ 37 Β· π 50 - 10% open Β· β±οΈ 27.08.2023):
-
- ```
- git clone https://github.com/maximtrp/scikit-posthocs
- ```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 75K / month Β· π¦ 24 Β· β±οΈ 07.05.2022):
- ```
- pip install scikit-posthocs
- ```
-- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 900K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge scikit-posthocs
- ```
-Show 8 hidden projects...
+Show 9 hidden projects...
- filterpy (π₯32 Β· β 2.9K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
- pandas-ta (π₯30 Β· β 4.1K Β· π) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT BSD-2
- pingouin (π₯29 Β· β 1.4K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 ISC
-- Funsor (π₯21 Β· β 220) - Functional tensors for probabilistic programming. Apache-2 MIT
+- Funsor (π₯20 Β· β 220) - Functional tensors for probabilistic programming. Apache-2 MIT
@@ -7313,30 +7299,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
-ART (π₯34 Β· β 4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (π₯34 Β· β 4.1K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1.1K Β· π¦ 440 Β· π 860 - 14% open Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1.1K Β· π¦ 440 Β· π 860 - 14% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
-- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 27K / month Β· π¦ 9 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 28K / month Β· π¦ 9 Β· β±οΈ 22.09.2023):
```
pip install adversarial-robustness-toolbox
```
-- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 33K Β· β±οΈ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 34K Β· β±οΈ 22.09.2023):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
TextAttack (π₯30 Β· β 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
-- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 60 Β· π 340 Β· π¦ 200 Β· π 260 - 16% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 60 Β· π 340 Β· π¦ 210 Β· π 260 - 16% open Β· β±οΈ 05.11.2023):
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 5.2K / month Β· π¦ 5 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 11.09.2023):
```
pip install textattack
```
@@ -7345,29 +7331,44 @@ _Libraries for testing the robustness of machine learning models against attacks
conda install -c conda-forge textattack
```
CleverHans (π₯29 Β· β 5.9K Β· π€) - An adversarial example library for constructing attacks,.. MIT
+CleverHans (π₯29 Β· β 6K Β· π€) - An adversarial example library for constructing attacks,.. MIT
- [GitHub](https://github.com/cleverhans-lab/cleverhans) (π¨βπ» 130 Β· π 1.4K Β· π¦ 530 Β· π 460 - 8% open Β· β±οΈ 31.01.2023):
```
git clone https://github.com/cleverhans-lab/cleverhans
```
-- [PyPi](https://pypi.org/project/cleverhans) (π₯ 1.1K / month Β· π¦ 12 Β· β±οΈ 24.07.2021):
+- [PyPi](https://pypi.org/project/cleverhans) (π₯ 1.2K / month Β· π¦ 12 Β· β±οΈ 24.07.2021):
```
pip install cleverhans
```
-- [Conda](https://anaconda.org/conda-forge/cleverhans) (π₯ 7.2K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/cleverhans) (π₯ 7.3K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge cleverhans
```
Show 6 hidden projects...
+Foolbox (π₯27 Β· β 2.6K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT
+
+- [GitHub](https://github.com/bethgelab/foolbox) (π¨βπ» 33 Β· π 410 Β· π¦ 530 Β· π 380 - 8% open Β· β±οΈ 09.11.2023):
+
+ ```
+ git clone https://github.com/bethgelab/foolbox
+ ```
+- [PyPi](https://pypi.org/project/foolbox) (π₯ 2.1K / month Β· π¦ 14 Β· β±οΈ 02.04.2022):
+ ```
+ pip install foolbox
+ ```
+- [Conda](https://anaconda.org/conda-forge/foolbox) (π₯ 12K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge foolbox
+ ```
+Show 5 hidden projects...
-- Foolbox (π₯27 Β· β 2.6K Β· π) - A Python toolbox to create adversarial examples that fool neural.. MIT
- advertorch (π₯23 Β· β 1.2K Β· π) - A Toolbox for Adversarial Robustness Research. βοΈGPL-3.0 Apache-2
- robustness (π₯18 Β· β 840 Β· π) - A library for experimenting with, training and evaluating neural.. MIT
-- textflint (π₯17 Β· β 620 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
+- textflint (π₯16 Β· β 620 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
- Adversary (π₯14 Β· β 380 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
@@ -7378,42 +7379,42 @@ _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._
-cuDF (π₯33 Β· β 6K) - cuDF - GPU DataFrame Library. Apache-2
+optimum (π₯34 Β· β 1.7K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π¦ 47 Β· π 5.8K - 15% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 85 Β· π 290 Β· π¦ 820 Β· π 570 - 44% open Β· β±οΈ 07.11.2023):
```
- git clone https://github.com/rapidsai/cudf
+ git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 1.7K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 460K / month Β· π¦ 42 Β· β±οΈ 06.11.2023):
```
- pip install cudf
+ pip install optimum
+ ```
+- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 9.7K Β· β±οΈ 06.11.2023):
+ ```
+ conda install -c conda-forge optimum
```
optimum (π₯32 Β· β 1.7K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
+cuDF (π₯33 Β· β 6.1K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 82 Β· π 260 Β· π¦ 740 Β· π 540 - 41% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π¦ 49 Β· π 5.8K - 15% open Β· β±οΈ 09.11.2023):
```
- git clone https://github.com/huggingface/optimum
- ```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 430K / month Β· π¦ 31 Β· β±οΈ 21.09.2023):
- ```
- pip install optimum
+ git clone https://github.com/rapidsai/cudf
```
-- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 9.3K Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 2.1K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
```
- conda install -c conda-forge optimum
+ pip install cudf
```
gpustat (π₯31 Β· β 3.6K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 260 Β· π¦ 4.2K Β· π 120 - 24% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 260 Β· π¦ 4.2K Β· π 120 - 23% open Β· β±οΈ 01.11.2023):
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 1.2M / month Β· π¦ 130 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 1.1M / month Β· π¦ 130 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
@@ -7422,9 +7423,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
conda install -c conda-forge gpustat
```
Apex (π₯30 Β· β 7.6K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
+Apex (π₯30 Β· β 7.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 120 Β· π 1.3K Β· π¦ 2K Β· π 1.2K - 56% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 120 Β· π 1.3K Β· π¦ 2.1K Β· π 1.2K - 56% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/NVIDIA/apex
@@ -7436,24 +7437,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (π₯30 Β· β 3.6K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 160 Β· π 470 Β· π 2.3K - 34% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 160 Β· π 480 Β· π 2.3K - 34% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 1.7K / month Β· π¦ 5 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 2.1K / month Β· π¦ 5 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
PyCUDA (π₯30 Β· β 1.6K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 80 Β· π 270 Β· π¦ 2.4K Β· π 260 - 30% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 80 Β· π 270 Β· π¦ 2.5K Β· π 260 - 30% open Β· β±οΈ 28.08.2023):
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 34K / month Β· π¦ 220 Β· β±οΈ 21.12.2022):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 36K / month Β· π¦ 220 Β· β±οΈ 21.12.2022):
```
pip install pycuda
```
@@ -7462,26 +7463,26 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
conda install -c conda-forge pycuda
```
ArrayFire (π₯28 Β· β 4.2K) - ArrayFire: a general purpose GPU library. BSD-3
+ArrayFire (π₯28 Β· β 4.3K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 4.6K Β· π 1.6K - 18% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 4.7K Β· π 1.6K - 18% open Β· β±οΈ 05.10.2023):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 970 / month Β· π¦ 7 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 910 / month Β· π¦ 7 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯27 Β· β 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 100 Β· π 250 Β· π¦ 2 Β· π 1.6K - 18% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 110 Β· π 250 Β· π¦ 2 Β· π 1.6K - 18% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 200 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -7497,11 +7498,11 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 19K / month Β· π¦ 200 Β· β±οΈ 08.08.2023):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 22K / month Β· π¦ 200 Β· β±οΈ 08.08.2023):
```
pip install cupy
```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.1M Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.2M Β· β±οΈ 04.10.2023):
```
conda install -c conda-forge cupy
```
@@ -7510,9 +7511,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
docker pull cupy/cupy
```
DALI (π₯25 Β· β 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
+DALI (π₯25 Β· β 4.7K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 87 Β· π 590 Β· π 1.5K - 18% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 87 Β· π 590 Β· π 1.5K - 18% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/NVIDIA/DALI
@@ -7525,31 +7526,31 @@ _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) (π₯ 690 / month Β· π¦ 49 Β· β±οΈ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 620 / month Β· π¦ 49 Β· β±οΈ 27.05.2019):
```
pip install scikit-cuda
```
Vulkan Kompute (π₯22 Β· β 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 23 Β· π 94 Β· π₯ 480 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 26.10.2023):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 23 Β· π 94 Β· π₯ 480 Β· π¦ 7 Β· π 190 - 32% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 170 / month Β· β±οΈ 13.04.2022):
+- [PyPi](https://pypi.org/project/kp) (π₯ 120 / month Β· β±οΈ 13.04.2022):
```
pip install kp
```
Merlin (π₯22 Β· β 610) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
+Merlin (π₯22 Β· β 620) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 92 Β· π 440 - 44% open Β· β±οΈ 10.10.2023):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 5.3K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
@@ -7564,7 +7565,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 6 hidden projects...
-- GPUtil (π₯23 Β· β 1K Β· π) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT
+- GPUtil (π₯25 Β· β 1K Β· π) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT
- py3nvml (π₯23 Β· β 230 Β· π) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
- BlazingSQL (π₯20 Β· β 1.9K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- nvidia-ml-py3 (π₯18 Β· β 120 Β· π) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
@@ -7581,16 +7582,16 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯38 Β· β 4K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.4K Β· π¦ 15K Β· π 1.1K - 36% open Β· β±οΈ 25.10.2023):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.5K Β· π¦ 15K Β· π 1.3K - 47% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 2M / month):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.9M / month Β· π¦ 210 Β· β±οΈ 08.09.2023):
```
pip install tensorflow-datasets
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 24K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 25K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge tensorflow-datasets
```
@@ -7607,56 +7608,56 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install tensorflow-addons
```
tensorflow-hub (π₯34 Β· β 3.4K) - A library for transfer learning by reusing parts of.. Apache-2
+tensorflow-hub (π₯33 Β· β 3.4K) - A library for transfer learning by reusing parts of.. Apache-2
- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 680 - 0% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2.3M / month Β· π¦ 330 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2.4M / month Β· π¦ 330 Β· β±οΈ 06.10.2023):
```
pip install tensorflow-hub
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (π₯ 90K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (π₯ 91K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge tensorflow-hub
```
tensor2tensor (π₯32 Β· β 14K) - Library of deep learning models and datasets designed to.. Apache-2
+