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More AI Skills apps
About hugging-science
hugging-science
Discovers and evaluates scientific datasets, models, methodology posts
hugging-science is an agent skill for finding and evaluating scientific datasets, models, methodology posts and Spaces through the Hugging Science catalogue. Hugging Science is a curated index of scientific datasets, models, blog posts and interactive demos for machine learning researchers, covering 17 scientific domains. The skill uses two related sources. The catalogue at huggingscience.co is a static, readable index with compact and full text files, and per-domain pages written in markdown. The hugging-science organisation on Hugging Face holds community-submitted datasets, models and a changing set of Gradio, Docker and static Spaces, and not every listing offers an inference API. The skill is clear that curation does not establish quality, openness or whether something runs. You should verify each resource's author documentation and its scientific suitability. It also points out that the resources live on the wider Hugging Face Hub, and that each needs its own loader. ESM2 works with Transformers, Evo2 needs its native runtime, and OpenGenome2 needs explicit file-format handling. The catalogue is for discovery, and you use each resource through its verified loader or service.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/hugging-science