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Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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Anime ganGAN models with Anime.
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Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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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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Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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Gan theoriesResources 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.
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Awesome GansAwesome Generative Adversarial Networks with tensorflow
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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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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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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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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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