se3-transformer-pytorch

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

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277 Stars

24 Forks

277 Watchers

Python Language

mit License

Cost to Build

$521.9K

Market Value

$1.29M

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Growth over time

7 data points · 2021-08-01 → 2025-03-01

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What is the lucidrains/se3-transformer-pytorch GitHub project? Description: "Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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