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
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
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
tffm by geffy

TensorFlow implementation of an arbitrary order Factorization Machine

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

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33 +0

783 +0

175 +0

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dopamine by google

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

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

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428 +0

10,381 +3

1,364 -1

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hsmmlearn by jvkersch

A library for hidden semi-Markov models with explicit durations

created at Dec. 24, 2015, 3:38 p.m.

Jupyter Notebook

9 +0

75 +0

18 +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
themis-ml by cosmicBboy

A library that implements fairness-aware machine learning algorithms

created at Aug. 26, 2017, 8:15 p.m.

Jupyter Notebook

12 +0

122 +1

25 +0

GitHub
PyCEbox by AustinRochford

⬛ Python Individual Conditional Expectation Plot Toolbox

created at Dec. 2, 2015, 3:49 p.m.

Jupyter Notebook

6 +0

162 -1

34 +0

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
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
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
anchor by marcotcr

Code for "High-Precision Model-Agnostic Explanations" paper

created at Feb. 2, 2018, 11:38 p.m.

Jupyter Notebook

27 +0

786 +1

115 +0

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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
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

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optunity by claesenm

optimization routines for hyperparameter tuning

created at May 28, 2014, 5:29 p.m.

Jupyter Notebook

24 +0

414 +0

78 +0

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InferPy by PGM-Lab

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

created at Oct. 17, 2017, 12:44 p.m.

Jupyter Notebook

10 +0

143 +0

14 +0

GitHub
PDPbox by SauceCat

python partial dependence plot toolbox

created at June 26, 2017, 8:01 a.m.

Jupyter Notebook

18 +0

825 +0

130 +0

GitHub
recmetrics by statisticianinstilettos

A library of metrics for evaluating recommender systems

created at Oct. 15, 2018, 3:29 p.m.

Jupyter Notebook

15 +0

559 +1

98 +0

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