Eurus-Holmes/Awesome-Multimodal-Research resource
A curated list of Multimodal Related Research. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2590
- days_rel: n/a
- days_push: 1124
- n_releases_24m: 0
Adoption not part of the score
1394 stars · 147 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 resources on multimodal machine learning, reorganized from Paul Liang's multimodal ML reading list. It aggregates papers, news, and links covering vision-language models, multimodal LLMs, and related research.
Use cases
- find research papers on multimodal machine learning
- get a reading list for vision-language models
- track recent multimodal LLM research like GPT-4 and PaLM-E
- survey the state of multimodal learning research
- find references for a thesis on multimodal AI
When to choose
- you need a curated starting point for multimodal ML literature
- you want to survey vision-language and multimodal LLM research
- you are a student or researcher building a reading list
When to avoid
- you need runnable code or a library rather than paper links
- you need up-to-the-minute coverage after 2023
- you want tutorials with hands-on exercises instead of a paper index
Facets
learning-resource · maturity maintenance
documentation artificial-intelligence machine-learning deep-learning computer-vision tutorials cross-platform awesome-list multimodal-learning research-papers curated-list vision-language natural-language-processing
1 source
- readme: https://github.com/Eurus-Holmes/Awesome-Multimodal-Research · fetched 2026-08-28 · 8a71e8f41192
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Eurus-Holmes/Awesome-Multimodal-Research | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Eurus-Holmes/Awesome-Multimodal-Research")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem