Generative Adversarial Networks Code in PyTorch and Tensorflow

github.com

139 pointsdiegoalejogm6 comments

Take a look at TFGAN -- it might make these implementations much easier!

https://research.googleblog.com/2017/12/tfgan-lightweight-li...

https://github.com/tensorflow/tensorflow/tree/master/tensorf...

It looks awesome, thanks!

The idea of this library is to show the inner workings of the GANs as they’re publicized in the papers, but I will definitely make some examples with TFGANs in the future for broader exposition. ;)

More models coming soon! :)

Cool! Did you try using tensorflow's eager execution?

That’s the next step, after implementing more GAN papers. If you’re up to it, you’re very welcome to contribute with that. :)

I've read a little bit about it. I think it would be a good idea since we don't need to run the subgraphs on parallel or something like that, therefore eliminating the need for a TF session per se.

I'll be helping Diego with some new models, it'd be awesome if you join :)

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