Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
created at Sept. 15, 2016, 1:04 a.m.
A collection of infrastructure and tools for research in neural network interpretability.
created at Jan. 25, 2018, 5:41 p.m.
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
⬛ Python Individual Conditional Expectation Plot Toolbox
created at Dec. 2, 2015, 3:49 p.m.
Automatic extraction of relevant features from time series:
created at Oct. 26, 2016, 11:29 a.m.
A scikit-learn compatible neural network library that wraps PyTorch
created at July 18, 2017, 12:13 a.m.
Use evolutionary algorithms instead of gridsearch in scikit-learn
created at Oct. 28, 2015, 10:52 p.m.
A library of metrics for evaluating recommender systems
created at Oct. 15, 2018, 3:29 p.m.
Performance analysis of predictive (alpha) stock factors
created at June 3, 2016, 9:49 p.m.