tmadl/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Python implementation of the rulefit algorithm
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
fastFM: A Library for Factorization Machines
Reinforcement Learning in PyTorch
No description.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
3 captures since 2026-05-22