vulab-AI/Awesome-Spatial-VLMs
[Awesome-Spatial-VLMs] This repository is the official, community-maintained resource for the survey paper: Spatial Intelligence in Vision-Language Models: A Comprehensive Survey;
- Stars
- 470
- Forks
- 5
- Open issues
- 3
- Last push
- 8d ago
About Awesome-Spatial-VLMs
Awesome-Spatial-VLMs is a free, open-source AI resource list by vulab-AI, written mainly in Python. [Awesome-Spatial-VLMs] This repository is the official, community-maintained resource for the survey paper: Spatial Intelligence in Vision-Language Models: A Comprehensive Survey;. It has 470 GitHub stars and 5 forks, and was last updated 8d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 470
- Last update
- 8d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-Spatial-VLMs FAQ
Is Awesome-Spatial-VLMs free?
Yes. Awesome-Spatial-VLMs is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-Spatial-VLMs run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-Spatial-VLMs need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-Spatial-VLMs still maintained?
Yes. It was last updated 8d ago and has 3 open issues on GitHub.
What are alternatives to Awesome-Spatial-VLMs?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, KG-LLM-Papers, API-mega-list, RuView.