cmhungsteve/Awesome-Transformer-Attention resource
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites 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: 1813
- days_rel: n/a
- days_push: 764
- n_releases_24m: 0
Adoption not part of the score
5049 stars · 498 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 research papers, code, and resources on Vision Transformers and attention mechanisms for computer vision. It is actively updated with papers from major conferences like CVPR, ICCV, NeurIPS, ICML, and ICLR.
Use cases
- find papers on vision transformers
- survey attention mechanisms in computer vision
- research ViT architectures for image classification
- find code implementations of transformer papers
- keep up with latest transformer research from CVPR and NeurIPS
- learn about efficient vision transformer designs
When to choose
- you need a comprehensive, categorized reading list on vision transformers and attention
- you want links to paper code implementations
- you are doing a literature review on transformer-based computer vision
When to avoid
- you need runnable software or a library rather than a paper list
- you need tutorials or courses rather than research paper references
Facets
learning-resource · maturity active
documentation deep-learning computer-vision artificial-intelligence awesome-lists cross-platform awesome-list vision-transformer attention papers vit self-attention research-papers
1 source
- readme: https://github.com/cmhungsteve/Awesome-Transformer-Attention · fetched 2026-08-28 · e22641322c8b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| cmhungsteve/Awesome-Transformer-Attention | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="cmhungsteve/Awesome-Transformer-Attention")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem