Home Projects foldingdiff
foldingdiff
Jupyter Notebook

foldingdiff

Diffusion models of protein structure; trigonometry and attention are all you need!

by microsoft · GitHub
Stars
Forks
License
Created
Last commit
Category
diffusiondiffusion-modelsproteinMITJupyter Notebook
View on GitHub
In plain words

Generate new protein structures using a web browser with a trained model for protein backbone generation.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
foldingdiff — GitHub preview card
📈 Star history
565564
2026-07-202026-08-31
📈 Track foldingdiff

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Diffusion models of protein structure; trigonometry and attention are all you need!

foldingdiff has 564 stars on GitHub. It has been forked 72 times. foldingdiff is written mainly in Jupyter Notebook. It has been in active development since 2022. foldingdiff is available under the MIT license. Its main topics are diffusion, diffusion-models, protein, protein-structure-generation.

Frequently asked questions

What is foldingdiff?

Diffusion models of protein structure; trigonometry and attention are all you need!

Is foldingdiff open source?

foldingdiff is an open-source project. It is released under the MIT license.

Is foldingdiff free?

Yes. foldingdiff is free and open source — you can use, modify and self-host it.

What license does foldingdiff use?

foldingdiff is available under the MIT license.

What language is foldingdiff written in?

foldingdiff is written mainly in Jupyter Notebook.

🏅 Maintainer of this project?
olud.ai badge — foldingdiff

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=microsoft-foldingdiff)](https://olud.ai/project/microsoft-foldingdiff.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.