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A pytorch reimplementation of CheXNet

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你好,我觉得你的项目很棒,工作很好,不过能不能把你的项目加个协议,如果是apache的就最好了。还有另一个隐写项目也是一样的问题

The description describes a mean AUROC of 0.847, however when I run the model I get a mean AUROC of 0.489, here's the output from running the model.py script: ```...

Thanks for sharing. How long will it take for training?

I was running the code without any problem on pytorch 0.3.0. I upgraded yesterday to pytorch 0.4.0 and can't load the checkpoint file. I am on Ubuntu and python 3.6...

# Problem According to this [issue](https://github.com/arnoweng/CheXNet/issues/27) I also forked this repo and tried running on my Colab project. The same problem arose: `RuntimeError: CUDA Error: out of memory`. # Solution...

Hi, Thank you for your sharing. When I run the code, There is an error occurred in this line "for i, (inp, target) in enumerate(test_loader)" , Somebody tell me that...

**for i, (inp, target) in enumerate(test_loader):** target = target.cuda() gt = torch.cat((gt, target), 0) bs, n_crops, c, h, w = inp.size() input_var = torch.autograd.Variable(inp.view(-1, c, h, w).cuda(), volatile=True) output =...

The repo suggests that this code is included, but I cannot seem to find it.

ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.