This repository is a curated list of resources for anomaly detection, including survey papers, methods, and datasets. It covers deep learning approaches such as autoencoders and one-class classification, as well as applications to time-series, image, and video data. The list is organized by topics including deep learning methods, probabilistic models, and domain-specific applications like video surveillance and medical diagnostics.