optunity by claesenm

optimization routines for hyperparameter tuning

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

Jupyter Notebook

24 +0

416 +0

78 -1

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

47 +0

1,805 +0

363 +0

GitHub
rep by yandex

Machine Learning toolbox for Humans

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

Jupyter Notebook

50 +0

689 +0

144 +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
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

771 +0

131 +0

GitHub
PyCEbox by AustinRochford

⬛ Python Individual Conditional Expectation Plot Toolbox

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

Jupyter Notebook

6 +0

165 +0

35 +0

GitHub
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

80 +1

20 +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

780 +0

176 +0

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

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

Jupyter Notebook

169 +1

3,384 +23

1,153 +7

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

69 +0

2,757 +0

334 +0

GitHub
pycma by CMA-ES

Python implementation of CMA-ES

created at Sept. 22, 2016, 1:55 p.m.

Jupyter Notebook

16 +0

1,109 +2

179 +1

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

created at Oct. 26, 2016, 11:29 a.m.

Jupyter Notebook

171 +0

8,436 +7

1,214 +2

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

245 +1

22,880 +52

3,290 +0

GitHub
pdpipe by pdpipe

Easy pipelines for pandas DataFrames.

created at Jan. 24, 2017, 8:37 p.m.

Jupyter Notebook

18 +0

716 +0

45 +0

GitHub
PDPbox by SauceCat

python partial dependence plot toolbox

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

Jupyter Notebook

18 +0

845 +0

129 +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

81 +0

5,882 +4

390 +0

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

124 +0

26 +0

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

149 +0

2,299 -1

216 +0

GitHub
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

147 +0

14 +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

4,673 +1

654 +0

GitHub