SkalskiP/awesome-foundation-and-multimodal-models
A curated list of papers, code, examples, and tutorials covering foundation and multimodal AI models like CLIP, BLIP, LLaVA, and Segment Anything.
Not currently ranked — collecting fresh signals.
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This repository is an awesome-style curated list aggregating research papers, implementations, tutorials, and resources on foundation models and multimodal AI systems. It covers models that process multiple modalities including vision, language, and audio. Each entry links to official papers, GitHub code repositories, videos, and interactive demos. The list is auto-generated and community-maintained via a contributions file.
Frequently asked
- What is SkalskiP/awesome-foundation-and-multimodal-models?
- A curated list of papers, code, examples, and tutorials covering foundation and multimodal AI models like CLIP, BLIP, LLaVA, and Segment Anything.
- Is awesome-foundation-and-multimodal-models open source?
- Yes — SkalskiP/awesome-foundation-and-multimodal-models is an open-source project tracked on heatdrop.
- What language is awesome-foundation-and-multimodal-models written in?
- SkalskiP/awesome-foundation-and-multimodal-models is primarily written in Python.
- How popular is awesome-foundation-and-multimodal-models?
- SkalskiP/awesome-foundation-and-multimodal-models has 638 stars on GitHub.
- Where can I find awesome-foundation-and-multimodal-models?
- SkalskiP/awesome-foundation-and-multimodal-models is on GitHub at https://github.com/SkalskiP/awesome-foundation-and-multimodal-models.