One-punch24

Sorry to bother you, I might need the mobilenetv1 model after training, if you could provide that, I would be so appreciated.

Thank you for your code. But, I want to ask why we need 'double_after_norm' in CHESSBOARD mask mode.

Thank you for your code. I have a small question: what is 'double_after_norm' used for ?

Thank you for your code. It is very clean and smart. I have a small question, why we need rescale operation in [https://github.com/tatsy/normalizing-flows-pytorch/blob/f5238fa8ce62a130679a1cf4474e195926b4842f/flows/coupling.py#L107](https://github.com/tatsy/normalizing-flows-pytorch/blob/f5238fa8ce62a130679a1cf4474e195926b4842f/flows/coupling.py#L107)

The difference with Original U-Net

2

Dear Authors, Thank you for providing this fantastic code base! I have a specific question related to the structure used in nnUNet, specifically for PlainConvUNet. I printed my network structure...