aqlaboratory/openfold
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
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aqlaboratory
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Sep 14, 2021
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OpenFold is a trainable, memory-efficient, and GPU-friendly PyTorch implementation of AlphaFold 2, the groundbreaking protein structure prediction system. It provides researchers with the ability to train and fine-tune the model while being optimized for computational efficiency and hardware requirements. The implementation aims to democratize access to AlphaFold 2's capabilities for the scientific community.
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Updated 3 months ago
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- Project created
- Sep 14, 2021
- Forked
- Mar 22, 2026
- Your last push
- 3 months ago
- Upstream last push
- 3 months ago
- Tracked since
- Dec 16, 2025
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