Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
APACHE-2.0 License
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With this release, we include a new home for OpenFold documentation located at: https://openfold.readthedocs.io/.
We hope that the guides provided in the documentation will help users with common workflows, as well as issues that commonly occur.
A few quality of life changes are also included:
--experiment_config_json
option to both run_pretrained_openfold.py
and train_openfold.py
to more easily edit model config settings in openfold/config.pyFull Changelog: https://github.com/aqlaboratory/openfold/compare/v2.0.0...v.2.1.0
Published by jnwei 9 months ago
use_deepspeed_evo_attention
option in openfold/config.py
. More information in the README.--cpus_per_task
argument in README by @awaelchli in https://github.com/aqlaboratory/openfold/pull/278
Full Changelog: https://github.com/aqlaboratory/openfold/compare/v1.0.1...v2.0.0
Published by gahdritz almost 2 years ago
OpenFold as of the release of our manuscript. Many new features, including FP16 training + more stable training.
Dockerfile
by @SauravMaheshkar in https://github.com/aqlaboratory/openfold/pull/128
int
-> float
) by @atgctg in https://github.com/aqlaboratory/openfold/pull/225
Full Changelog: https://github.com/aqlaboratory/openfold/compare/v1.0.0...v1.0.1
Published by gahdritz over 2 years ago
OpenFold at the time of the release of our original model parameters and training database. Adds countless improvements over the previous beta release, including, but not limited to:
multimer
branchFull Changelog: https://github.com/aqlaboratory/openfold/compare/v0.1.0...v1.0.0
Published by gahdritz almost 3 years ago
The initial release of OpenFold.
Full Changelog: https://github.com/aqlaboratory/openfold/commits/v0.1.0