dask-ml by dask

Scalable Machine Learning with Dask

created at June 15, 2017, 3:56 p.m.

Python

40 +0

902 +1

256 +0

GitHub
jraph by deepmind

A Graph Neural Network Library in Jax

created at Nov. 23, 2020, 10:27 a.m.

Python

39 +0

1,375 +1

90 +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

1,283 +2

332 +0

GitHub
treelite by dmlc

Universal model exchange and serialization format for decision tree forests

created at June 28, 2017, 11:39 p.m.

C++

39 +0

738 +0

100 +0

GitHub
greykite by linkedin

A flexible, intuitive and fast forecasting library

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

Python

39 +0

1,813 +0

106 +1

GitHub
pytorch_geometric_temporal by benedekrozemberczki

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

created at June 27, 2020, 1:11 a.m.

Python

38 +0

2,671 +9

377 +0

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

38 +1

5,692 +41

642 +2

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

2,165 +7

247 +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

406 +0

97 +0

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 +0

1,697 +8

193 +3

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

490 +0

108 +1

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

36 +0

1,363 +4

180 +1

GitHub
neuralforecast by Nixtla

Scalable and user friendly neural :brain: forecasting algorithms.

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

Python

36 -1

3,099 +16

357 +0

GitHub
dplython by dodger487

dplyr for python

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

Python

35 +0

764 +1

52 +0

GitHub
bottleneck by pydata

Fast NumPy array functions written in C

created at Nov. 27, 2010, 11:21 p.m.

Python

35 +0

1,073 +2

104 +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
AutoViz by AutoViML

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

created at July 17, 2019, 5:14 p.m.

Python

33 +0

1,730 +3

200 +0

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

33 +0

514 +1

118 +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

921 +0

179 +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

780 +0

176 +0

GitHub