Science
AI for biology, chemistry, materials, physics, maths and climate.
alphafold3 leads with 58, ahead of deeplabcut (53) and nnunet (52). 8 projects ranked by score. Updated from public GitHub data.
Best of each kind
- Ready to usepaper-qa
Python RAG library and CLI for answering questions over scientific PDFs with citations
50 score9.5k stars
#1 of 1 · RAG and search - Parts to build withalphafold3
Inference pipeline for AlphaFold 3 biomolecular structure prediction
58 score8.7k stars
#1 of 7 · Open models
Ready to use
apps, CLIs and tools you install and run. One project.
- 1
paper-qaPython RAG library and CLI for answering questions over scientific PDFs with citations30th in RAG and search · Apache-2.0 9.5k ★50
Parts to build with
libraries, models, servers and add-ons. 7 projects, ranked by score.
- 1
alphafold3Inference pipeline for AlphaFold 3 biomolecular structure prediction19th in Open models · Apache-2.0 8.7k ★58
- 25.8k ★
53
- 3
nnunetSelf-configuring U-Net framework for biomedical image segmentation29th in Fine-tuning · Apache-2.0 9k ★52
- 4
weathernextJAX code and weights for DeepMind's WeatherNext 2 and cyclone forecast models28th in Open models · Apache-2.0 7.7k ★49
- 5
alphafoldProtein structure prediction inference pipeline from AlphaFold v2, including Multimer43rd in Open models · Apache-2.0 14.9k ★31
- 6
deepchemPython library for deep learning on molecules, materials and biological data110th in ML libraries · MIT 7.1k ★31
- 7
pinnsReference code for physics-informed neural networks solving and discovering PDEs124th in ML libraries · MIT 6.2k ★13
A project's field comes from its own description: what it is made for. All fields.