tensorflow-generative-model-collections

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Question about marginal_likelihood in VAE

3

Thank you for your working and sharing. I learned a lot from them. However, I have a question about the VAE implementation. In VAE.py, you calculate the marginal_likelihood as an...

dongfeng951

Not an issue

2

Hey @hwalsuklee, Thanks for sharing your code which helps me a lot. I have a question about the linear function in ops.py I would be appreciated if you can explain...

Auth0rM0rgan

I've noticed an inefficiency in the CGAN code. When we append the one-hot encoded labels to the image, they influence the training gradients a lot. Instead, I've noticed that scaling...

oliverzhang42

Make sure it works in win

keviny

Thanks for your contribution! A problem occurs when I am training ACGAN without tuning any parameters which is shown as follows: As the training process goes on, the loss of...

zzw1123

thanks you code , when i read the code , the discriminator use sigmoid output, but you also return D_real_logits ,and when caluate the loss real or fake ,you use...

ranjiewwen

Thanks for the nicely orgnized code, I learned a lot from it. But I have question about the CVAE's input, you just append y's 1-hot code to the last dimension...

xray1111

This is a great collection of generative models for TensorFlow, all nicely wrapped in a common class interface. I'd like to use this as a basis for ongoing work I'm...

dribnet

Hi,I have run your VAE and CVAE models, but I found that it converged very fast, didn't need more than 2 or 3 epoch, but the results in them are...

liuzhen03

This is a shameful bug... Obviously the part I edited was copied directly from the Github repo of improved training for Wasserstein GANs. However, in the author's code, the image...

yang-song