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Simgan CaptchaSolve captcha without manually labeling a training set
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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SdvSynthetic Data Generation for tabular, relational and time series data.
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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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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
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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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Gan steerabilityOn the "steerability" of generative adversarial networks
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The Gan WorldEverything about Generative Adversarial Networks
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Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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StyleGANCppUnofficial implementation of StyleGAN's generator
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DcganThe Simplest DCGAN Implementation
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steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
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Alae[CVPR2020] Adversarial Latent Autoencoders
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keras-3dganKeras implementation of 3D Generative Adversarial Network.
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Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
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DraganA stable algorithm for GAN training
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Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
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FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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ArtganArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
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AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
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GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
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Pytorch SrganA modern PyTorch implementation of SRGAN
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srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
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Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
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Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
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TextBoxGANGenerate text boxes from input words with a GAN.
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ezganAn extremely simple generative adversarial network, built with TensorFlow
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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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GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
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IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
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ADL2019Applied Deep Learning (2019 Spring) @ NTU
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UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
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IganInteractive Image Generation via Generative Adversarial Networks
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