dopamine by google

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

created at July 26, 2018, 9:58 a.m.

Jupyter Notebook

428 +0

10,381 +3

1,364 -1

GitHub
shap by shap

A game theoretic approach to explain the output of any machine learning model.

created at Nov. 22, 2016, 7:17 p.m.

Jupyter Notebook

239 -2

21,762 +45

3,181 +4

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

8,130 +11

1,202 +4

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

created at June 3, 2016, 9:49 p.m.

Jupyter Notebook

167 +1

3,107 +4

1,108 +0

GitHub
lucid by tensorflow

A collection of infrastructure and tools for research in neural network interpretability.

created at Jan. 25, 2018, 5:41 p.m.

Jupyter Notebook

158 +0

4,615 +1

651 +1

GitHub
gluon-api by gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

created at Oct. 6, 2017, 7:08 p.m.

Jupyter Notebook

150 +0

2,299 +0

218 +0

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

8,511 +41

1,728 +3

GitHub
LAVIS by salesforce

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

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

Jupyter Notebook

94 +0

8,881 +39

884 +9

GitHub
hyperlearn by unslothai

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

created at Aug. 27, 2018, 4 p.m.

Jupyter Notebook

87 +0

1,626 +12

120 +1

GitHub
pysal by pysal

PySAL: Python Spatial Analysis Library Meta-Package

created at Feb. 19, 2013, 5:27 p.m.

Jupyter Notebook

80 +0

1,280 +1

300 +0

GitHub
skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

created at July 18, 2017, 12:13 a.m.

Jupyter Notebook

80 +0

5,652 +8

380 +0

GitHub
eli5 by TeamHG-Memex

A library for debugging/inspecting machine learning classifiers and explaining their predictions

created at Sept. 15, 2016, 1:04 a.m.

Jupyter Notebook

67 +0

2,728 +0

332 +0

GitHub
botorch by pytorch

Bayesian optimization in PyTorch

created at July 30, 2018, 11:59 p.m.

Jupyter Notebook

53 +0

2,969 +7

374 +2

GitHub
rep by yandex

Machine Learning toolbox for Humans

created at April 13, 2015, 6:32 p.m.

Jupyter Notebook

51 +0

682 +1

144 -14

GitHub
pyLDAvis by bmabey

Python library for interactive topic model visualization. Port of the R LDAvis package.

created at April 9, 2015, 10:48 p.m.

Jupyter Notebook

51 +0

1,785 +3

359 +0

GitHub
evidently by evidentlyai

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

created at Nov. 25, 2020, 3:20 p.m.

Jupyter Notebook

46 +0

4,710 +31

530 +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
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
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
sklearn-deap by rsteca

Use evolutionary algorithms instead of gridsearch in scikit-learn

created at Oct. 28, 2015, 10:52 p.m.

Jupyter Notebook

30 +0

762 +2

131 +0

GitHub