PaddlePaddle / PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Apache License 2.0
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SE(3) transformer implementation #146

Closed riversdark closed 2 years ago

riversdark commented 2 years ago

Hi this might be a silly question, I noticed that SE(3) message passing is mentioned in the implemented networks but I couldn't find it. Can someone point me to the implementation?

Also a more general issue, I noticed that most of the network implementations have only a name, but no description of the detailed architectures, no use cases, and no documentation, so I'm having a bit difficulty getting started. Am I looking at the wrong places?

SuperXiang commented 2 years ago

Hi there, thanks for your interest. As for SE(3), we haven't officially released this part yet. Please keep following our latest update. And as for the second question, you can refer to our API documents(https://paddlehelix.readthedocs.io/en/dev/index.html) for more details and you can also make use of the tutorials(https://github.com/PaddlePaddle/PaddleHelix/tree/dev/tutorials) and notebooks on AI studio(https://aistudio.baidu.com/aistudio/personalcenter/thirdview/580918) for guidance.