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Metric learning algorithms in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Confidence intervals for scikit-learn forest algorithms
A Python library for dynamic classifier and ensemble selection
A template for scikit-learn extensions
Python implementations of the Boruta all-relevant feature selection method.
Large-scale linear classification, regression and ranking in Python
A high performance implementation of HDBSCAN clustering.
scikit-learn contrib estimators
A library of sklearn compatible categorical variable encoders
Pandas integration with sklearn
machine learning with logical rules in Python
scikit-learn compatible projects
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
scikit-learn compatible implementation of stability selection.
A library for factorization machines and polynomial networks for classification and regression in Python.