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

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

Fast and modular sklearn replacement for generalized linear models

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

A Fast Canonical-Correlation-Based Feature Selection Algorithm

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.

A Python package for intrinsic dimension estimation

Confidence intervals for scikit-learn forest algorithms