uncbiag/Awesome-Foundation-Models resource

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1176 stars · 62 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An awesome-style curated list of foundation models—large pretrained models such as BERT, GPT-3, and DALL-E—for vision and language tasks. It catalogs research papers that include code, along with survey articles covering LLMs, vision transformers, and multimodal models.

Use cases

• find a curated list of foundation models for vision and language tasks
• discover open-source large language models and vision transformers with code
• survey recent papers on multimodal and vision-language foundation models
• build a research reading list on pretrained foundation models
• locate surveys on image segmentation or video understanding with foundation models
• keep up with new survey papers on LLMs, diffusion models, and multimodal architectures

When to choose

• you want a vetted directory of foundation model papers that include implementations
• you are starting research on vision-language, multimodal, or large language models
• you need survey papers on parameter-efficient fine-tuning, world models, or medical imaging foundation models

When to avoid

• you need runnable software or model weights rather than a link list
• you want an inference or training toolkit instead of a literature index
• you are looking for papers without code, since those are explicitly excluded

Facets

learning-resource · maturity active

machine-learning deep-learning computer-vision nlp awesome-lists artificial-intelligence machine-learning deep-learning large-language-models computer-vision awesome-list foundation-models curated-list research-papers survey multimodal-models vision-transformer reading-list papers-with-code natural-language-processing

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markdown · JSON · MCP: product_card(name="uncbiag/Awesome-Foundation-Models")