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Sandbox for training deep learning networks

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Hi, thank you for your good code, recently I've tried to reproduce RevNet with PyTorch 1.11.0, and I use your code. However, I got a RunError as follows: ```console File...

Not sure if you would like me to do the same for all the other TF models, but I can. Also did not add unit tests, but this is also...

pytorch now supports the XDG Base Directory specification https://github.com/pytorch/pytorch/issues/14693. The `pytorchcv` module, provided by this repo is still [using the hardcoded `~/.torch/models` path](https://github.com/osmr/imgclsmob/blob/f2993d3ce73a2f7ddba05da3891defb08547d504/pytorch/pytorchcv/models/model_store.py#L617). You can see the "correct" logic for...

![image](https://user-images.githubusercontent.com/51397898/158051669-54770405-214f-4c8d-bece-184c48e234f5.png) PyramidNet's residual block(d) is not the same as pre-resnet's(a). It deletes the first ReLU and adds a new BN at the end. I noticed that in the pytorch version...

Hi thank you for wonderful DL networks repo. I have one question to ask about pytorchcv in `pytorch/pytorchcv/models/squeezenext.py` I found that SqueezeNext class has `in_size` argument but never being used....

Is that possible to provide pretrained vgg model checkpoints (for example, bn-vgg11/13/16/19) for CIFAR10/100? Thanks!

Are there any plans to add some ViT models with their pretrained weights (ImageNet)? https://github.com/lucidrains/vit-pytorch

Hello! I've found a performance issue in your project: - `tf.Session` being defined repeatedly leads to incremental overhead. You can make your program more efficient by fixing this bug. Here...

enhancement

It is always desirable to try the latest neural network model, but unfortunately there is no researched by deepmind in this code base, and I look forward to adding it...