hoya012/awesome-anomaly-detection resource
A curated list of awesome anomaly detection resources observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2926
- days_rel: n/a
- days_push: 1443
- n_releases_24m: 0
Adoption not part of the score
2901 stars · 510 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of anomaly detection resources including survey papers, research papers, and datasets organized by data type (time-series, video, image). It covers related topics like novelty detection, outlier detection, and out-of-distribution detection.
Use cases
- find papers on anomaly detection
- learn about deep learning for anomaly detection
- find anomaly detection datasets
- research out-of-distribution detection methods
- find time-series anomaly detection resources
- get started with outlier detection research
When to choose
- you need a starting point for anomaly detection research
- you want curated survey papers on novelty or outlier detection
- you are looking for datasets for anomaly detection benchmarks
When to avoid
- you need a working anomaly detection library or tool
- you need up-to-date resources, as the list was last updated in 2021
- you need practical code examples rather than paper links
Facets
learning-resource · maturity maintenance
machine-learning deep-learning documentation machine-learning deep-learning artificial-intelligence tutorials awesome-lists cross-platform anomaly-detection curated-list papers outlier-detection novelty-detection survey-papers time-series computer-vision
1 source
- readme: https://github.com/hoya012/awesome-anomaly-detection · fetched 2026-08-28 · 179d4c66c2a7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hoya012/awesome-anomaly-detection | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="hoya012/awesome-anomaly-detection")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem