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GAN_Theories
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Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
generative-models-collection
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PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN
Fun-with-MNIST
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Playing with MNIST. Machine Learning. Generative Models.
GAN_Implementation
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Pytorch implementations of GANs