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v2.0.0

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@jnwei jnwei released this 08 Feb 16:04
· 10 commits to main since this release
bb3f51e

Major Changes

  • SoloSeq inference: Single Sequence Inference using ESM-1b embeddings with template features is now supported. Check out SoloSeq in the README for more information.
  • Multimer : Inference in multimer mode using the AlphaFold-Multimer weights is now supported. Check out Multimer in the README for more instructions, or try out multimer inference in the Colab notebook.
  • Addition of a custom DeepSpeed DS4Sci_EvoformerAttention kernel for 13X reduced peak device memory requirement, leading to 15% faster training and 4x speedup during inference. Test it out using the use_deepspeed_evo_attention option in openfold/config.py. More information in the README.

All Changes

New Contributors

Full Changelog: v1.0.1...v2.0.0