Popular GitHub Repositories for Class Imbalance

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

A credit card fraud detection kernel

Leveraging Machine Learning for Credit Card Fraud Detection: A Banking Imperative

The implementation of Synthetic Minority Oversampling based on stream Clustering (SMOClust)

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

ActiSiamese (Neurocomputing 2022)

Enhacing classification accuracy for minority crop's classes via generating fake satellite image datasets with use of GANs