| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| OpenFold v1.0.0.tar.gz | 2022-06-22 | 8.6 MB | |
| OpenFold v1.0.0.zip | 2022-06-22 | 8.7 MB | |
| README.md | 2022-06-22 | 1.5 kB | |
| Totals: 3 Items | 17.4 MB | 0 | |
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:
- Many bugfixes contribute to stabler, more correct, and more versatile training
- Options to run OpenFold using our original weights
- Custom attention kernels and alternative attention implementations that greatly reduce peak memory usage
- A vastly superior Colab notebook that runs inference many times faster than the original
- Efficient scripts for computation of alignments, including the option to run MMSeqs2's alignment pipeline
- Vastly improved logging during training & inference
- Careful optimizations for significantly improved speeds & memory usage during both inference and training
- Opportunistic optimizations that dynamically speed up inference on short (< ~1500 residues) chains
- Certain changes borrowed from updates made to the AlphaFold repo, including bugfixes, GPU relaxation, etc.
- "AlphaFold-Gap" support allows inference on complexes using OpenFold and AlphaFold weights
- WIP OpenFold-Multimer implementation on the
multimerbranch - Improved testing for the data pipeline
- Partial CPU offloading extends the upper limit on inference sequence lengths
- Docker support
- Missing features from the original release, including learning rate schedulers, distillation set support, etc.
Full Changelog: https://github.com/aqlaboratory/openfold/compare/v0.1.0...v1.0.0