A
anomaly-detection-resources
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
★9.4kstars
Python
AGPL-3.0
Updated: 1d ago
📋 Project at a Glance
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What's this?A anomaly-detection/awesome tool in the Learning & Resources category, built with Python, open-source
Who made it?Maintained by yzhao062 team, 9.4K⭐ on GitHub, #268 out of 3640 in Learning & Resources
Why does it exist?In the Learning & Resources space, anomaly-detection workflows faced efficiency bottlenecks. anomaly-detection-resources was built by yzhao062 to address these awesome challenges.
What can it do?Key use cases: awesome-list, data-mining, fraud
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/yzhao062/anomaly-detection-resources
🔗 github.com/yzhao062/anomaly-detection-resources
Topics
anomaly-detectionawesomeawesome-listdata-miningfraudfraud-detectiongraph-neural-networkslarge-language-modelsllmmachine-learningoutlieroutlier-detectionoutlier-ensemblestime-series-analysisunsupervised-learningvlmvlms