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Realized architectures for Adversarial Training (mostly GANs) on the basis of PyTorch

Each folder is isolated and "self-sufficient", they can be putted as an appropriate part in a pipeline (The architectures of generator and discriminator are nearly always the same except for some details in concepts, mostly GANs differs in loss functions)

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