auto-sklearn by automl

Automated Machine Learning with scikit-learn

created at July 2, 2015, 3:38 p.m.

Python

215 +0

7,465 +9

1,266 +2

GitHub
darts by unit8co

A python library for user-friendly forecasting and anomaly detection on time series.

created at Sept. 13, 2018, 3:17 p.m.

Python

60 -1

7,510 +19

821 +1

GitHub
sktime by sktime

A unified framework for machine learning with time series

created at Nov. 6, 2018, 3:08 p.m.

Python

102 +0

7,538 +18

1,288 +2

GitHub
BayesianOptimization by bayesian-optimization

A Python implementation of global optimization with gaussian processes.

created at June 6, 2014, 8:18 a.m.

Python

134 +0

7,604 +8

1,510 +2

GitHub
tensorboardX by lanpa

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

created at June 13, 2017, 1:54 p.m.

Python

86 +0

7,820 +2

863 +0

GitHub
catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

created at July 18, 2017, 5:29 a.m.

Python

193 +1

7,850 +13

1,162 +1

GitHub
cupy by cupy

NumPy & SciPy for GPU

created at Nov. 1, 2016, 9:54 a.m.

Python

127 -1

7,921 +14

788 +3

GitHub
cudf by rapidsai

cuDF - GPU DataFrame Library

created at May 7, 2017, 3:43 a.m.

C++

148 +0

7,936 +29

860 +3

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

created at Oct. 26, 2016, 11:29 a.m.

Jupyter Notebook

167 -1

8,189 +13

1,205 +0

GitHub
vaex by vaexio

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

created at Sept. 27, 2014, 9:44 a.m.

Python

143 +0

8,215 +12

589 +0

GitHub
stable-baselines3 by DLR-RM

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

created at May 5, 2020, 5:52 a.m.

Python

61 +0

8,267 +31

1,586 +5

GitHub
pyro by pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

created at June 16, 2017, 5:03 a.m.

Python

201 +0

8,416 +0

985 -1

GitHub
pymc by pymc-devs

Bayesian Modeling and Probabilistic Programming in Python

created at Feb. 20, 2015, 5:12 p.m.

Python

224 +0

8,449 +183

1,964 +12

GitHub
pytorch3d by facebookresearch

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

created at Oct. 25, 2019, 2:23 a.m.

Python

148 +0

8,451 +19

1,273 +3

GitHub
pycaret by pycaret

An open-source, low-code machine learning library in Python

created at Nov. 23, 2019, 6:40 p.m.

Jupyter Notebook

132 +1

8,600 +12

1,737 +2

GitHub
pattern by clips

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

created at May 3, 2011, 3:29 p.m.

Python

545 +0

8,695 +2

1,579 +2

GitHub
cleanlab by cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

created at May 11, 2018, 1:55 a.m.

Python

85 +0

8,938 +21

688 +0

GitHub
autokeras by keras-team

AutoML library for deep learning

created at Nov. 19, 2017, 11:18 p.m.

Python

302 +0

9,094 +2

1,399 +0

GitHub
LAVIS by salesforce

LAVIS - A One-stop Library for Language-Vision Intelligence

created at Aug. 24, 2022, 2:36 a.m.

Jupyter Notebook

95 +0

9,113 +40

902 +3

GitHub
tpot by EpistasisLab

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

created at Nov. 3, 2015, 9:08 p.m.

Python

288 +1

9,567 +10

1,551 +1

GitHub