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yzhao062/anomaly-detection-resources resource

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works! observed · 2026-08-28

github.com/yzhao062/anomaly-detection-resources · Python · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

64/100

  • Activity 70
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3031
  • days_rel: n/a
  • days_push: 184
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

9370 stars · 1804 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of anomaly detection (outlier detection) learning resources including books, papers, courses, videos, datasets, and software toolboxes. It is actively updated and now covers LLM/VLM-based anomaly detection research.

Use cases

  • find papers on anomaly detection
  • learn outlier detection from scratch
  • find open-source anomaly detection libraries
  • find datasets for outlier detection benchmarking
  • research LLM-based anomaly detection
  • find time series anomaly detection resources
  • find fraud detection learning materials

When to choose

  • you need a starting point to learn anomaly detection
  • you want a curated index of papers, books, and toolboxes in one place
  • you are surveying the field including recent LLM/VLM approaches

When to avoid

  • you need a working anomaly detection library rather than a resource list
  • you need executable code or benchmarks rather than references

Facets

learning-resource · maturity active

machine-learning data-science developer-tools machine-learning data-science awesome-lists artificial-intelligence large-language-models python cross-platform awesome-list anomaly-detection outlier-detection fraud-detection time-series papers datasets curated-resources

1 source

Member repositories

RepositoryRoleHealth v2
yzhao062/anomaly-detection-resourcesmain64

For agents

markdown · JSON · MCP: product_card(name="yzhao062/anomaly-detection-resources")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem