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there must be some wrong . i meet a big problem, when i use the wgan-gp to generate mnist picture..
the d_loss has decreased over -2000,and the g_loss has increased over 1000 after some epoch . ca…
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Hi,
Can you please release pre-trained models for all 3 datasets ?
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Hello, let me just say I am a big fan of the code in this repo. I noticed though that the reference implementation you use for the GAN example is from November of 2015. I'd like to suggest that the co…
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hello, how can i achieve same results on your official website? The current training results are not continuous in time. Can you help me? what should I do? Looking forward to your reply. thx
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I saw that on the official github for that paper
https://github.com/igul222/improved_wgan_training/blob/master/gan_mnist.py#L86
does it make some difference ?
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HI,
I run your code of CT_gan_cifar.py,I evaluate the Inception Score of CT-GAN with 1000 generated images, the best score is 5.65 within the running 10000 iterations. To compare CT-GAN with origin…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Hey, I appreciate your work! You make my life better.
I found (maybe) a small bug in your WGAN_GP code. When calculating gradient penalty, you write:
```
D_inter,_,_=self.discriminator(interpol…
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Hi, I'm interested in your RNN-GANs model but I'm still new to this domain. I'm trying to run your code but I get some problems.
The first one is when I run the generating command:
`python generat…
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Traceback (most recent call last):
File "dcgan.py", line 200, in
infer(args)
File "dcgan.py", line 168, in infer
saver.restore(sess, model_path)
File "/usr/local/lib/python2.7/dist…