qkeras by google

QKeras: a quantization deep learning library for Tensorflow Keras

created at Aug. 6, 2019, 10:11 p.m.

Python

30 +0

525 +2

101 +0

GitHub
ydata-synthetic by ydataai

Synthetic data generators for tabular and time-series data

created at May 4, 2020, 3:52 p.m.

Jupyter Notebook

31 +0

1,321 +14

220 +0

GitHub
pymoo by anyoptimization

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

created at Sept. 19, 2017, 9:52 p.m.

Python

31 +0

2,076 +11

365 +1

GitHub
bottleneck by pydata

Fast NumPy array functions written in C

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

Python

32 +0

1,010 +3

100 +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

32 +0

1,637 +0

196 +0

GitHub
feature_engine by feature-engine

Feature engineering package with sklearn like functionality

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

Python

32 +0

1,758 +9

301 +2

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

1,273 +2

167 +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

906 +0

177 +0

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
neuralforecast by Nixtla

Scalable and user friendly neural :brain: forecasting algorithms.

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

Python

34 -1

2,526 +24

289 +1

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 -2

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

34 +0

4,571 +29

535 +1

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

507 +0

119 +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

34 +0

1,504 +3

154 +2

GitHub
dplython by dodger487

dplyr for python

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

Python

35 +0

762 +0

58 +0

GitHub
statsforecast by Nixtla

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

Python

36 +0

3,597 +7

247 +2

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

471 +0

102 +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

37 +0

1,288 +1

166 +0

GitHub
greykite by linkedin

A flexible, intuitive and fast forecasting library

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

Python

37 +0

1,792 +1

103 +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 +1

393 +1

98 +0

GitHub