Gymnasium by Farama-Foundation

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

created at Sept. 8, 2022, 1:58 a.m.

Python

40 +1

6,038 +49

695 +1

GitHub
boruta_py by scikit-learn-contrib

Python implementations of the Boruta all-relevant feature selection method.

created at Jan. 30, 2016, 4:25 p.m.

Python

40 +0

1,454 +7

250 +0

GitHub
seqlearn by larsmans

Sequence learning toolkit for Python

created at July 31, 2013, 6:15 p.m.

Python

40 +0

681 +2

106 +0

GitHub
pyswarms by ljvmiranda921

A research toolkit for particle swarm optimization in Python

created at July 12, 2017, 12:04 p.m.

Python

39 +0

1,240 +4

331 +0

GitHub
karateclub by benedekrozemberczki

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

created at Dec. 5, 2019, 5:35 p.m.

Python

38 +0

2,094 +2

241 +0

GitHub
gnn by tensorflow

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

created at Aug. 10, 2021, 8:21 p.m.

Python

38 +0

1,296 +2

167 +0

GitHub
greykite by linkedin

A flexible, intuitive and fast forecasting library

created at April 27, 2021, 5:05 p.m.

Python

37 +0

1,798 +1

104 +0

GitHub
marsyas by marsyas

Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals

created at June 24, 2013, 9:24 p.m.

C++

37 +0

393 +0

98 +0

GitHub
tick by X-DataInitiative

Module for statistical learning, with a particular emphasis on time-dependent modelling

created at Dec. 1, 2016, 10:59 a.m.

Python

36 +0

474 +1

103 +1

GitHub
optax by deepmind

Optax is a gradient processing and optimization library for JAX.

created at June 12, 2020, 3:45 p.m.

Python

36 +1

1,530 +12

161 +2

GitHub
statsforecast by Nixtla

Lightning ⚡️ fast forecasting with statistical and econometric models.

created at Nov. 24, 2021, 2:19 a.m.

Python

36 +0

3,650 +23

249 +1

GitHub
cleanrl by vwxyzjn

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

created at June 7, 2019, 4:31 p.m.

Python

35 +1

4,693 +53

548 +5

GitHub
dplython by dodger487

dplyr for python

created at Feb. 23, 2016, 12:21 a.m.

Python

35 +0

762 +0

58 +0

GitHub
neuralforecast by Nixtla

Scalable and user friendly neural :brain: forecasting algorithms.

created at April 26, 2021, 12:15 a.m.

Python

34 +1

2,592 +23

300 +3

GitHub
sklearn-bayes by AmazaspShumik

Python package for Bayesian Machine Learning with scikit-learn API

created at July 30, 2015, 3:15 a.m.

Jupyter Notebook

34 +0

510 +1

118 +0

GitHub
featureforge by machinalis

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

created at Feb. 17, 2014, 5:21 p.m.

Python

34 +0

382 +0

77 +0

GitHub
scikit-multilearn by scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

created at April 30, 2014, 1:05 p.m.

Python

33 +0

911 +2

177 +0

GitHub
sklearn-porter by nok

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

created at June 22, 2016, 10:21 p.m.

Python

33 +0

1,274 +1

169 +1

GitHub
tffm by geffy

TensorFlow implementation of an arbitrary order Factorization Machine

created at May 2, 2016, 5:06 p.m.

Jupyter Notebook

33 +0

783 +0

175 +0

GitHub
feature_engine by feature-engine

Feature engineering package with sklearn like functionality

created at Dec. 31, 2018, 1:47 a.m.

Python

33 +0

1,781 +9

302 -1

GitHub