scikit-learn-contrib

A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities

Fast and modular sklearn replacement for generalized linear models

A Fast Canonical-Correlation-Based Feature Selection Algorithm

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

A more flexible alternative to scikit-learn Pipelines

A library of sklearn compatible categorical variable encoders

Integration with (approximate) nearest neigrs libraries for scikit-learn + clustering based on with kNN-graphs.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

A scikit-learn-compatible module for comparing imputation methods.

A high performance implementation of HDBSCAN clustering.