Accelerating SE(3)-Transformers Training Using an NVIDIA Open-Source Model Implementation – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Alexandre Milesi <![CDATA[Accelerating SE(3)-Transformers Training Using an NVIDIA Open-Source Model Implementation]]> http://www.open-lab.net/blog/?p=36411 2022-08-31T23:54:46Z 2021-08-24T17:50:03Z SE(3)-Transformers are versatile graph neural networks unveiled at NeurIPS 2020. NVIDIA just released an open-source optimized implementation that uses 43x less...]]> SE(3)-Transformers are versatile graph neural networks unveiled at NeurIPS 2020. NVIDIA just released an open-source optimized implementation that uses 43x less...

SE(3)-Transformers are versatile graph neural networks unveiled at NeurIPS 2020. NVIDIA just released an open-source optimized implementation that uses 43x less memory and is up to 21x faster than the baseline official implementation. SE(3)-Transformers are useful in dealing with problems with geometric symmetries, like small molecules processing, protein refinement��

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