optuna by optuna

A hyperparameter optimization framework

created at Feb. 21, 2018, 6:12 a.m.

Python

118 +0

9,623 +21

953 +0

GitHub
tflearn by tflearn

Deep learning library featuring a higher-level API for TensorFlow.

created at March 31, 2016, 12:05 p.m.

Python

457 +0

9,606 +0

2,414 -2

GitHub
statsmodels by statsmodels

Statsmodels: statistical modeling and econometrics in Python

created at June 12, 2011, 5:04 p.m.

Python

280 +0

9,530 +20

2,820 +1

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

289 +0

9,489 +5

1,542 +1

GitHub
modin by modin-project

Modin: Scale your Pandas workflows by changing a single line of code

created at June 21, 2018, 9:35 p.m.

Python

116 +0

9,467 +13

642 +3

GitHub
great_expectations by great-expectations

Always know what to expect from your data.

created at Sept. 11, 2017, 12:18 a.m.

Python

81 +0

9,443 +23

1,466 +2

GitHub
autokeras by keras-team

AutoML library for deep learning

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

Python

302 +0

9,065 +4

1,400 -4

GitHub
LAVIS by salesforce

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

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

Jupyter Notebook

93 +0

8,693 +49

861 +5

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

8,657 +1

1,575 +1

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

84 +0

8,614 +212

663 +9

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

131 +0

8,394 +19

1,714 +2

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

8,349 +8

983 +2

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

147 +0

8,271 +17

1,255 +5

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

144 +0

8,174 +5

589 +1

GitHub
pymc by pymc-devs

Bayesian Modeling and Probabilistic Programming in Python

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

Python

225 +0

8,148 +15

1,923 +2

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

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

Jupyter Notebook

168 +0

8,074 +7

1,195 +1

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

60 -2

7,880 +37

1,543 +10

GitHub
tensorboardX by lanpa

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

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

Python

86 +0

7,796 +6

864 -1

GitHub
cupy by cupy

NumPy & SciPy for GPU

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

Python

127 +1

7,765 +21

761 +2

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

192 +0

7,736 +13

1,145 +0

GitHub