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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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shayneobrien/generative-models

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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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python machine-learning pytorch discriminator generative-adversarial-network gan infogan autoencoder vae wasserstein wgan lsgan began generative-models dragan fishergan mmgan nsgan ragan fgan

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