scikit-learn-contrib

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

A high performance implementation of HDBSCAN clustering.

Pandas integration with sklearn

A library of sklearn compatible categorical variable encoders

Large-scale linear classification, regression and ranking in Python

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

Python implementations of the Boruta all-relevant feature selection method.

Metric learning algorithms in Python

machine learning with logical rules in Python

A Python library for dynamic classifier and ensemble selection

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

scikit-learn compatible projects

A template for scikit-learn extensions

Confidence intervals for scikit-learn forest algorithms

A library for factorization machines and polynomial networks for classification and regression in Python.

scikit-learn compatible implementation of stability selection.

Fast and modular sklearn replacement for generalized linear models

scikit-learn contrib estimators

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

A python library for hierarchical classification compatible with scikit-learn

A Python package for intrinsic dimension estimation

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