yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
This resource collects and organizes materials for understanding and implementing anomaly detection, which helps identify unusual patterns or outliers in data. It provides links to academic papers, books, courses, datasets, and toolkits on topics like fraud detection, network intrusion, and defect identification. This is ideal for researchers, data scientists, and practitioners who need to find deviations in various datasets like time-series, text, or network graphs.
9,200 stars.
Use this if you are a data scientist, researcher, or analyst needing to learn about, benchmark, or apply anomaly detection techniques to identify unusual events in your data.
Not ideal if you are looking for a pre-built, ready-to-deploy software solution for a very specific business problem without needing to understand the underlying methods.
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9,200
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1,802
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 02, 2026
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