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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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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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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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Pix2pixImage-to-image translation with conditional adversarial nets
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DcganThe Simplest DCGAN Implementation
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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IganInteractive Image Generation via Generative Adversarial Networks
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Pytorch-Basic-GANsSimple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
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Chainer Gan LibChainer implementation of recent GAN variants
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Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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GANs-KerasGANs Implementations in Keras
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Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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Wasserstein GanChainer implementation of Wasserstein GAN
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
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steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
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GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
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AvatarGANGenerate Cartoon Images using Generative Adversarial Network
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ADL2019Applied Deep Learning (2019 Spring) @ NTU
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Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
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TextBoxGANGenerate text boxes from input words with a GAN.
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AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
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gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
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Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
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SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
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ezganAn extremely simple generative adversarial network, built with TensorFlow
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keras-3dganKeras implementation of 3D Generative Adversarial Network.
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
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