huytransformer/Awesome-Out-Of-Distribution-Detection resource

Health v2 · maintenance only

Adoption not part of the score

1021 stars · 83 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers, tutorials, books, videos, articles, and open-source libraries covering out-of-distribution (OOD) detection, robustness, and generalization in machine learning. It serves as a comprehensive, regularly updated reference hub for OOD research.

Use cases

• find papers on out-of-distribution detection
• learn about distribution shift robustness
• research open-set recognition methods
• find anomaly detection resources
• survey OOD generalization techniques
• find open-source OOD detection libraries
• prepare a literature review on novelty detection

When to choose

• you need a curated starting point for OOD research
• you want up-to-date papers and tutorials on distribution shifts
• you are surveying anomaly detection or open-world learning literature

When to avoid

• you need a runnable OOD detection implementation rather than references
• you want a single maintained software library with an API
• you need production tooling rather than a reading list

Facets

learning-resource · maturity active

machine-learning developer-tools documentation machine-learning deep-learning artificial-intelligence awesome-lists tutorials cross-platform awesome-list ood-detection ood-robustness ood-generalization anomaly-detection open-set-recognition distribution-shift papers curated-resources

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