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zhaoyang97/Paper-Notes resource

📚 数千篇 AI、LLM、NLP、CV 顶会论文解读,每篇 5 分钟读懂核心思想。 observed · 2026-08-28

github.com/zhaoyang97/Paper-Notes · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

57/100

  • Activity 95
  • Release rhythm 35
  • Longevity 12

Flags: no_releases young 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: 168
  • days_rel: n/a
  • days_push: 31
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1628 stars · 72 forks observed · 2026-08-28

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

A curated collection of 23,000+ concise (5-minute) summaries of AI, LLM, NLP, and computer vision papers from top conferences like CVPR, ICLR, NeurIPS, ACL, ICML, and ECCV, browsable online at papernotes.org. The repository also publishes per-conference paper lists with links to each note.

Use cases

  • quickly understand the core idea of a top-conference AI paper
  • catch up on the latest LLM and computer vision research
  • find papers on a specific topic like RAG, RLHF, or image generation
  • browse complete paper lists for CVPR 2026 or ICLR 2026
  • stay current with AI conference output without reading full papers
  • find reading material for a research literature review

When to choose

  • you need fast, digestible summaries of recent AI conference papers
  • you want broad coverage across LLM, NLP, and CV in one place
  • you are surveying a research area like VLM, agents, or 3D vision
  • you prefer reading in a browser with organized topic categories

When to avoid

  • you need full paper text, code, or rigorous peer review of the summaries
  • you require notes for venues or years not yet covered
  • you need a searchable academic database with citation metadata
  • you want deep mathematical derivations rather than high-level takeaways

Facets

learning-resource · maturity active

documentation nlp machine-learning deep-learning computer-vision artificial-intelligence large-language-models computer-vision tutorials education cross-platform paper-notes paper-summaries academic-conferences cvpr iclr neurips acl icml eccv aaai llm-reasoning rag rlhf aigc research natural-language-processing web-server

2 sources

Member repositories

RepositoryRoleHealth v2
zhaoyang97/Paper-Notesmain57

For agents

markdown · JSON · MCP: product_card(name="zhaoyang97/Paper-Notes")

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