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Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
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Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Rnn.wganCode for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
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Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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progressive-growing-of-gans.pytorchUnofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
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progressive growing of GANsPure tensorflow implementation of progressive growing of GANs
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Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
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Awesome GansAwesome Generative Adversarial Networks with tensorflow
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Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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Deeplearningmugenknockでぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
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GANs-KerasGANs Implementations in Keras
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