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Hello
I ran your code of DCGAN implementation on dataset of MNIST but the quality of the generated images were poor. I have already tried to reduce the learning rate but it didn't work and the result…
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please ref:
https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/wgan_gp/wgan_gp.py
if choose 'wgan-gp'in d_loss and GP are not update differently in train()
d_loss =…
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Previously you had resolved all the queries and appreciated for the frequent reply .With the ray of hope i need help in another problem too
https://github.com/eriklindernoren/PyTorch-GAN(im using cGA…
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Should the following https://github.com/eriklindernoren/PyTorch-GAN/blob/a163b82beff3d01688d8315a3fd39080400e7c01/implementations/wgan_gp/wgan_gp.py#L162 be this instead:
```
fake_imgs = generator(…
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@eriklindernoren Is there any reasons why L1 loss is used here instead of using MSE loss for the pixelwise? And why it has to be multiplied with 0.999?
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Is this still necessary?
https://github.com/eriklindernoren/PyTorch-YOLOv3/blob/3f7f04bb4137219e8f0f1bde0af15f08ab6fb746/.github/workflows/main.yml#L25
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https://github.com/eriklindernoren/PyTorch-GAN/blob/36d3c77e5ff20ebe0aeefd322326a134a279b93e/implementations/dcgan/dcgan.py#L91
the right code should be as following ?
`ds_size = opt.img_size // (2 …
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I greatly appreciate your work and clearly written code which gives incredible insights into the back propagation technique. I've encountered a bit of a bug which is pretty solvable, but I don't want…
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我原来一直在根据 https://github.com/eriklindernoren/PyTorch-YOLOv3 这个来做训练、预测,但是一直没有解决多卡训练的问题,我发现单纯的添加:
model = nn.DataParallel(model, device_ids=args.device)
model.cuda()
这两行,并不能为训练速度带来提升,我看您的代码有支持…
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Hi, I am reimplementing ml algorithms based on yours
But I am a little confused about the part of the calculation of Moore-Penrose pseudoinverse in linear regression.
https://github.com/eriklin…