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PyTorch implementations of Generative Adversarial Networks.

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I'm getting the error: `ValueError: Target and input must have the same number of elements. target nelement (64) != input nelement (32)`, traceable back to line 470 in clustergan.py. I...

Hi, I think the `loss_GAN` in [`esrgan.py`](https://github.com/eriklindernoren/PyTorch-GAN/blob/a163b82beff3d01688d8315a3fd39080400e7c01/implementations/esrgan/esrgan.py#L135) is missing a term. In the [ESRGAN paper](https://arxiv.org/abs/1809.00219) the adversarial loss is like the discriminator loss a sum of two terms. ![formula](https://i.imgur.com/7rdNwCZ.png) However...

I have been working on this GAN can please , give instructions to use this GAN for my own inage dataset , when I used it on my own images...

DCGAN fails learning the mnist dataset. Is there a problem in implementation.

Hi! I just implemented A GAN based missing value imputation framwork, please see relative paper in readme :)

hey! The paper mentions using 0.5 dropout on all but the last layer but this implementation uses 0.25 on all layers of the discriminator. Also, strided convolutions every odd layer....

Hi, I am a newbie and I am trying to train using the MRI2D dataset. My data set has saved 2D slices in a matrix form with the shape [500,...

parse_args throws an error

The object detection training set is too small. How can I use GAN to generate the object detection training set?