Scikit Learn

Auto MLPython

Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.

hyperopt-sklearnPython

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

boruta_pyPython

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

imodelsJupyter Notebook

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

scikit-featurePython

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

MLeapScala

MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.