Smote Python Packages

smogn

Synthetic Minority Over-Sampling Technique for Regression

smote-variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

oversampleqa

A question-answering project focused on handling imbalanced datasets through advanced oversampling techniques.

imbalanced-learn-extra

Implementation of novel oversampling algorithms.

multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

reg-resampler

A python library for repurposing traditional classification-based resampling techniques for regression tasks

nested-cv-analysis

Routines to perform cross-validation and nested cross-validation using data transformations