alphafold2
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Replicate the Alphafold2 model to predict protein structures using a PyTorch implementation as details become available.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeTo eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
alphafold2 has 1.6k stars on GitHub. It has been forked 265 times. alphafold2 is written mainly in Python. It has been in active development since 2020. alphafold2 is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, protein-folding.
What is alphafold2?
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Is alphafold2 open source?
alphafold2 is an open-source project. It is released under the MIT license.
Is alphafold2 free?
Yes. alphafold2 is free and open source — you can use, modify and self-host it.
What license does alphafold2 use?
alphafold2 is available under the MIT license.
What language is alphafold2 written in?
alphafold2 is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lucidrains-alphafold2.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.