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

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GitHub
anchor by marcotcr

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

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

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27 +0

786 +1

115 +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
hamilton by DAGWorks-Inc

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

created at Feb. 23, 2023, 5:16 p.m.

Jupyter Notebook

12 +0

1,393 +16

86 +1

GitHub
optunity by claesenm

optimization routines for hyperparameter tuning

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

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24 +0

414 +0

78 +0

GitHub
pdpipe by pdpipe

Easy pipelines for pandas DataFrames.

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

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17 +0

715 +0

45 +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
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
skift by shaypal5

scikit-learn wrappers for Python fastText.

created at Feb. 3, 2018, 11:37 a.m.

Jupyter Notebook

11 +0

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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

75 +0

18 +0

GitHub
InferPy by PGM-Lab

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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

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10 +0

143 +0

14 +0

GitHub