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largely forked from nashory but correct some mistakes in deconv function(generator)

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README.md

README.md

 
 

config.py

config.py

 
 

custom_layers.py

custom_layers.py

 
 

dataloader.py

dataloader.py

 
 

network.py

network.py

 
 

test.py

test.py

 
 

tf_recorder.py

tf_recorder.py

 
 

trainer1.py

trainer1.py

 
 

utils.py

utils.py

 
 

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progressiveGAN-pytorch

largely forked from nashory but correct some mistakes in trainer(update generator) by default wn is not used ,open it when you run the program I use loss of wasserstein divergence and just as wasserstein divergence,lr is changed

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largely forked from nashory but correct some mistakes in deconv function(generator)

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