This repository is a curated list of data augmentation resources covering multiple domains: computer vision, NLP, audio/speech, time series, and graph data. It links to popular GitHub repositories, libraries, and academic papers organized by year from 2015 to 2023. Topics include AutoAugment policies, GAN-based augmentation, and techniques for bias mitigation in ML training.