gans-collection.torch
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nashory
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
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(https://www.quora.com/What-is-the-difference-between-CycleGAN-and-DiscoGAN-They-both-seem-to-be-the-same-thing) + CycleGAN has a single cycle-consistency loss. Also, when comparing F(G(y)) with y, it seems that the two papers use different forms of distance measures (MSE, hinge-loss). + CycleGan...
It seems the network learns to ignore the encoded noise z_hat at the end of the training. Need to configure.