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Generative Adversarial Networks Code in PyTorch and Tensorflow
- diegoalejogm 9y agoMore models coming soon! :)
- alextp 9y agoCool! Did you try using tensorflow's eager execution?
- diegoalejogm 9y agoThat’s the next step, after implementing more GAN papers. If you’re up to it, you’re very welcome to contribute with that. :)
- baristaGeek 9y agoI'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 :)
- rasmi 9y agoTake a look at TFGAN -- it might make these implementations much easier! https://research.googleblog.com/2017/12/tfgan-lightweight-library-for.html https://research.googleblog.com/2017/12/tfgan-lightweight-li... https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/gan https://github.com/tensorflow/tensorflow/tree/master/tensorf...
- diegoalejogm 9y agoIt 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. ;)