gokayfem/awesome-vlm-architectures
Curated visual catalog of 155+ vision-language model (VLM/MLLM) architectures: papers, diagrams, training recipes, datasets, and a release timeline for multimodal AI agents.
- Stars
- 1.3k
- Forks
- 57
- Open issues
- 0
- Last push
- 2mo ago
About awesome-vlm-architectures
awesome-vlm-architectures is a free, open-source AI resource list by gokayfem, written mainly in Markdown. Curated visual catalog of 155+ vision-language model (VLM/MLLM) architectures: papers, diagrams, training recipes, datasets, and a release timeline for multimodal AI agents. It has 1.3k GitHub stars and 57 forks, and was last updated 2mo ago. It uses the CC0-1.0 license; check its terms before commercial use. According to the project, it works on macOS.
- License
- CC0-1.0
- Language
- Markdown
- Stars
- 1,341
- Last update
- 2mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-vlm-architectures FAQ
Is awesome-vlm-architectures free?
Yes. awesome-vlm-architectures is open source and free to use. It uses the CC0-1.0 license; check its terms before commercial use.
Does awesome-vlm-architectures run on a Mac?
Yes. According to the project, awesome-vlm-architectures works on macOS.
Does awesome-vlm-architectures need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-vlm-architectures still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to awesome-vlm-architectures?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, Prompt-Engineering-Guide, CVPR2026-Papers-with-Code, Supervisor-Skills.