Imbalanced Learning Python Packages

imbalanced-ensemble

[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

smote-variants

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

edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

adversarial-labeller

Adversarial labeller is a sklearn compatible instance labelling tool for model selection under data drift.

imbalanced-learn-extra

Implementation of novel oversampling algorithms.

self-paced-ensemble

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

imlightgbm

LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification

overnan

Oversampling for Imbalanced Learning with Missing Values

geometric-smote

Implementation of novel oversampling algorithms.