This repository aggregates learning resources for anomaly detection (outlier detection), a machine learning subfield. It collects academic papers, books, online courses, datasets, open-source and commercial toolboxes, and conference venues. The maintainer recently updated the list to include LLM and VLM works, reflecting the intersection of large language models with anomaly detection tasks.