NumPy

hyperopt-sklearnhyperopt/hyperopt-sklearn

Hyperopt-sklearn automates hyperparameter optimization and model selection for scikit-learn machine learning pipelines.

boruta_pyscikit-learn-contrib/boruta_py

Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.

imodelscsinva/imodels

A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.

scikit-featurejundongl/scikit-feature

An open-source Python repository providing around 40 feature selection algorithms for machine learning applications.

SpearmintHIPS/Spearmint

A Bayesian optimization software package for automatically running experiments to minimize an objective in as few runs as possible.