generative-models
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wiseodd
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
hey first of all thank you for your great job it's very clear in general and helpful My first question is your loop enumerate V_s which is something completely random...
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This replaces 0-dim tensors with item() to get a Python number from the tensors containing a single value.
Hi, Can you explain why multiply 0.5 from gradient ? ``` # Average the gradients for p in D_shared.parameters(): p.grad.data = 0.5 * p.grad.data ```
Hi wiseodd, I am a little confused . Why you are returning D_prob and hence D_real although you are not using ? I know logits is enough to calculate the...
Hi Thanks for your wonderful code! I was looking through the code for Bidirectional GAN and have a few doubts : [1] In the discriminator step why is `Line 83`...
I am reading your least-square GAN code. The G net run twice for training G and D. Why cannot only run G.forward once as the input to G for the...
I've been running the new gibbsnet implementation, but I can't find it to converge with the given settings. Do you have any examples on what the results should look like?
