Generative Adversarial Networks Projects
A Generative Adversarial Network (GAN) is a class of machine learning frameworks introduced by Ian Goodfellow in 2014. It is an approach to generative modeling using deep learning methods to produce new pieces of content (e.g. images, texts, voice, music, etc.)
Generative modeling is a learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input data. GANs are originally proposed as a kind of generative model for unsupervised learning, but currently also proven useful for other learning tasks (semi-supervised learning, fully supervised learning or reinforcement learning).
Due to their ability to generate realistic examples across a range of problem domains, presently, GANs are a rapid changing field and belong to one of the hot topics in AI/ML domains, which bring many euphoria and exicement. Applications of GANs include e.g. image-to-image translation tasks (translating photos of summer/winter or day/night), or in generating realistic photos (objects, scenes, people) that even humans cannot tell are fake.
In the list below, we highlight 40+ interesting repositories related to Generative Adversarial Networks (GANs).
| a312863063/seeprettyface-generator-wanghong | StyleGAN |
| adeshpande3/Tensorflow-Programs-and-Tutorials | Implementations of CNNs, RNNs, GANs, etc |
| ajbrock/BigGAN-PyTorch | The author’s officially unofficial PyTorch BigGAN implementation. |
| akanimax/BMSG-GAN | [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. |
| akanimax/msg-stylegan-tf | MSG StyleGAN in tensorflow |
| akanimax/pro_gan_pytorch | ProGAN package implemented as an extension of PyTorch nn.Module |
| andrewgordonwilson/bayesgan | Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017) |
| anvoynov/BigGANsAreWatching | Authors official implementation of "Big GANs Are Watching You" pre-print |
| astorfi/Deep-Learning-Roadmap | :satellite: Organized Resources for Deep Learning Researchers and Developers |
| bernhard2202/improved-video-gan | GitHub repository for “Improving Video Generation for Multi-functional Applications” |
| clovaai/stargan-v2 | StarGAN v2 - Official PyTorch Implementation (CVPR 2020) |
| CSAILVision/gandissect | Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/ |
| cszn/KAIR | Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN |
| diegoalejogm/gans | Generative Adversarial Networks implemented in PyTorch and Tensorflow |
| dragen1860/TensorFlow-2.x-Tutorials | TensorFlow 2.x version’s Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 |
| eladrich/pixel2style2pixel | Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" |
| eriklindernoren/Keras-GAN | Keras implementations of Generative Adversarial Networks. |
| eriklindernoren/PyTorch-GAN | PyTorch implementations of Generative Adversarial Networks. |
| eugeneyan/applied-ml | Papers by organizations sharing their work on applied data science & machine learning. |
| facebookresearch/pytorch_GAN_zoo | A mix of GAN implementations including progressive growing |
| giddyyupp/ganilla | pytorch implementation of GANILLA |
| google/compare_gan | Compare GAN code. |
| hindupuravinash/the-gan-zoo | A list of all named GANs! |
| junyanz/CycleGAN | Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more. |
| junyanz/pytorch-CycleGAN-and-pix2pix | Image-to-Image Translation in PyTorch |
| kam1107/RealnessGAN | Code for ICLR2020 paper ‘Real or Not Real, that is the Question’ |
| krasserm/super-resolution | Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution |
| KupynOrest/DeblurGAN | Image Deblurring using Generative Adversarial Networks |
| mit-han-lab/gan-compression | [CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs |
| naganandy/graph-based-deep-learning-literature | links to conference publications in graph-based deep learning |
| nashory/gans-awesome-applications | Curated list of awesome GAN applications and demo |
| NELSONZHAO/zhihu | This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. |
| NVIDIA/pix2pixHD | Synthesizing and manipulating 2048x1024 images with conditional GANs |
| NVlabs/stylegan | StyleGAN - Official TensorFlow Implementation |
| NVlabs/stylegan2 | StyleGAN2 - Official TensorFlow Implementation |
| omerbsezer/Fast-Pytorch | Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes |
| omerbsezer/Generative_Models_Tutorial_with_Demo | Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc.. |
| open-mmlab/mmsr | Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc. |
| pbaylies/stylegan-encoder | StyleGAN Encoder - converts real images to latent space |
| poloclub/ganlab | GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks |
| ptrblck/prog_gans_pytorch_inference | PyTorch inference for “Progressive Growing of GANs” with CelebA snapshot |
| Puzer/stylegan-encoder | StyleGAN Encoder - converts real images to latent space |
| robbiebarrat/art-DCGAN | Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others. |
| run-youngjoo/SC-FEGAN | SC-FEGAN : Face Editing Generative Adversarial Network with User’s Sketch and Color (ICCV2019) |
| sangwoomo/instagan | InstaGAN: Instance-aware Image Translation (ICLR 2019) |
| scspcommunity/Cyber-Sec-Resources | An organized list of resources including tools, blog-posts and how-to tutorials compiled and created by SCSP community members. |
| shaoanlu/faceswap-GAN | A denoising autoencoder + adversarial losses and attention mechanisms for face swapping. |
| shaoanlu/fewshot-face-translation-GAN | Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping. |
| soumith/ganhacks | starter from “How to Train a GAN?” at NIPS2016 |
| TachibanaYoshino/AnimeGAN | A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images. |
| taki0112/StarGAN-Tensorflow | Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral) |
| tamarott/SinGAN | Official pytorch implementation of the paper: “SinGAN: Learning a Generative Model from a Single Natural Image” |
| TAMU-VITA/DeblurGANv2 | [ICCV 2019] “DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better” by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang |
| tensorflow/gan | Tooling for GANs in TensorFlow |
| tensorlayer/srgan | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network |
| tg-bomze/StyleGAN2-Face-Modificator | Simple Encoder, Generator and Face Modificator with StyleGAN2 |
| thunil/TecoGAN | This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN |
| timsainb/tensorflow2-generative-models | Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab. |
| tkarras/progressive_growing_of_gans | Progressive Growing of GANs for Improved Quality, Stability, and Variation |
| tohinz/ConSinGAN | Official implementation of the paper “Improved Techniques for Training Single-Image GANs” by Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter |
| torchgan/torchgan | Research Framework for easy and efficient training of GANs based on Pytorch |
| unit8co/vegans | A library providing various existing GANs in PyTorch. |
| xinntao/ESRGAN | ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region) |
| xuqiantong/GAN-Metrics | An empirical study on evaluation metrics of generative adversarial networks. |
| youyuge34/PI-REC | :fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: GANAI |
| yunjey/stargan | StarGAN - Official PyTorch Implementation (CVPR 2018) |
| zurutech/gans-from-theory-to-production | Material for the tutorial: “Deep Diving into GANs: from theory to production” |
