Awesome-GANs
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[rework] rework the baseline code, tensorflow 1.x to pytorch
Currently, all of the codes are based on tensorflow 1.x
, which is legacy.
so, rework all codes to pytorch code, instead of tensorflow 2.x
I would actually recommend Tensorflow 2 as it is the most popular, and that it has a distributed network training model that may be useful in some way.
Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another... Are there any Keras-like libraries that support both TF and PyTorch? (I guess the game is on between Google's TF and Facebook's PyTorch)
Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another... Are there any Keras-like libraries that support both TF and PyTorch? (I guess the game is on between Google's TF and Facebook's PyTorch)
maybe, there's no library that supports both of them as i know.
I also think TF2 is popular than pytorch 1.x. But, in the aspect of developing the GANs, i also think pure keras framework is not suitable and tricky to implement for controlling the low-level stuffs than pytorch. So, now i'm considering between them : ).
So I would make that claim that whatever is more popular and easier to implement the underlying features should be used, that would be Tensorflow in this case.