adaptive by python-adaptive
Adaptive: parallel active learning of mathematical functions
created at Dec. 10, 2017, 1:47 a.m.
sparkit-learn by lensacom
PySpark + Scikit-learn = Sparkit-learn
created at Oct. 15, 2014, 2:01 p.m.
batchflow by analysiscenter
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
created at March 13, 2017, 2:22 p.m.
Paddle by PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
created at Aug. 15, 2016, 6:59 a.m.
lucid by tensorflow
A collection of infrastructure and tools for research in neural network interpretability.
created at Jan. 25, 2018, 5:41 p.m.
themis-ml by cosmicBboy
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
sklearn-expertsys by tmadl
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
created at Feb. 23, 2016, 5:31 a.m.
PyCEbox by AustinRochford
⬛ Python Individual Conditional Expectation Plot Toolbox
created at Dec. 2, 2015, 3:49 p.m.
scikit-posthocs by maximtrp
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
created at June 22, 2017, 7:41 p.m.
pysparkling by svenkreiss
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
created at May 9, 2015, 7:23 p.m.
missingno by ResidentMario
Missing data visualization module for Python.
created at March 27, 2016, 3:18 p.m.