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IganInteractive Image Generation via Generative Adversarial Networks
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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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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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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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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
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Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
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Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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gan-image-similarityInfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
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Cat GeneratorGenerate cat images with neural networks
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PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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Pix2pixImage-to-image translation with conditional adversarial nets
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Wasserstein GanChainer implementation of Wasserstein GAN
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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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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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DcganThe Simplest DCGAN Implementation
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TpudcganTrain DCGAN with TPUs on Google Cloud
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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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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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CatdcganA DCGAN that generate Cat pictures 🐱💻
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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PsganPeriodic Spatial Generative Adversarial Networks
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
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Pix2pixbegan.pytorchA pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)
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UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
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CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
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Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
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Alphagan MattingThis project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
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P2palaPage to PAGE Layout Analysis Tool
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OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
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DeblurganImage Deblurring using Generative Adversarial Networks
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Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
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Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
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GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
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Electra中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
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