Fred

人生是场荒诞的电影啊

For the record, I am not the official authors of Swin-transformer. To my personal experience, most of deep learning models are hard to reproduce the same results as their paper...

such a good solution!

I am wondering if your code support batch training? backprop and update the model based on the gradients on multiple proteins?

I would like to ask about the equivariance. What does it even mean? Why does it matter?

let me know if you want know more detail of our reproduction.

Thanks! That explains a lot. Does the ensemble model consist of multiple model or just one with more sophisticated training?

Hi. Another question, Do you evaluate the RMSD on full-atoms or just backbone? Some methods in the antibody structure prediction only do backbone evaluation.

> GGGGGGGGGGGGGGGGGGGGGGGGGGGGGG So that you would know the partition of each chain by use the linker as a sign right?

BTW, I wonder how these cuda kernels are installed. Normally they are installed by the `setup.py`. But your `setup.py` have not code related to the installation of cuda kernels. Maybe...