rtxbae

Results 5 issues of rtxbae

``` base_optimizer = torch.optim.Adam optimizer = SAM(model.parameters(), base_optimizer, lr=0.1) torch.save({"optz_state_dict":optimizer.state_dict()}, "state.pth") checkpoint = torch.load("state.pth") optimizer.load_state_dict(checkpoint["optz_state_dict"]) ``` By using the above code, the saved state size is more than halved compared...

Link to the paper: https://arxiv.org/abs/2206.04920 Any chance for this implementation in this module?

I was surprised to see that it doesn't support iPad Pro 12.9 screen resolution since it's an actively developed app. Is there any technical reason why it's not supported? Here's...

Hey, I noticed that once agreed to the NDA for the videos, we could download them via a hosting cloud. I wonder do we have this for the embeddings? I...

I'm trying to train on relatively small datasets, [mix-up](https://arxiv.org/abs/1710.09412) is one way to reduce it from overfitting, but it seems like focal loss is not designed to works with label...