yzhao062/anomaly-detection-resources
A curated list of anomaly detection books, papers, videos, datasets, and libraries covering ML and LLM approaches.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is yzhao062/anomaly-detection-resources?
- A curated list of anomaly detection books, papers, videos, datasets, and libraries covering ML and LLM approaches.
- Is anomaly-detection-resources open source?
- Yes — yzhao062/anomaly-detection-resources is open source, released under the AGPL-3.0 license.
- What language is anomaly-detection-resources written in?
- yzhao062/anomaly-detection-resources is primarily written in Python.
- How popular is anomaly-detection-resources?
- yzhao062/anomaly-detection-resources has 9.4k stars on GitHub.
- Where can I find anomaly-detection-resources?
- yzhao062/anomaly-detection-resources is on GitHub at https://github.com/yzhao062/anomaly-detection-resources.