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wangyongjie-ntu/Awesome-explainable-AI resource

A collection of research materials on explainable AI/ML observed · 2026-08-28

github.com/wangyongjie-ntu/Awesome-explainable-AI · Markdown · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 98
  • 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: 2390
  • days_rel: n/a
  • days_push: 15
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1649 stars · 225 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 research papers and surveys on explainable AI (XAI) and interpretable machine learning. It organizes frontier publications into categories such as surveys, counterfactual explanations, and recourse.

Use cases

  • find research papers on explainable AI
  • survey the state of the art in model interpretability
  • learn about counterfactual explanations and recourse methods
  • find XAI surveys related to large language models
  • get started researching interpretable machine learning
  • keep up with new XAI publications

When to choose

  • you need a curated reading list on explainable AI research
  • you are a researcher or student surveying XAI literature
  • you want links to surveys covering LLM explainability

When to avoid

  • you need a runnable XAI library or tool
  • you want production-ready explanation algorithms rather than papers
  • you need tutorials with code rather than a paper index

Facets

learning-resource · maturity active

documentation artificial-intelligence machine-learning tutorials cross-platform awesome-list explainable-ai xai interpretability research-papers counterfactual-explanations

1 source

Member repositories

RepositoryRoleHealth v2
wangyongjie-ntu/Awesome-explainable-AImain76

For agents

markdown · JSON · MCP: product_card(name="wangyongjie-ntu/Awesome-explainable-AI")

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