CycleganPyTorch implementation of CycleGAN
Stars: ✭ 38 (-92.13%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-71.43%)
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (-5.18%)
Keras GanKeras implementations of Generative Adversarial Networks.
Stars: ✭ 8,494 (+1658.59%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+172.26%)
Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
Stars: ✭ 74 (-84.68%)
TbganProject Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
Stars: ✭ 105 (-78.26%)
Csmri RefinementCode for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Stars: ✭ 21 (-95.65%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-77.64%)
Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
Stars: ✭ 182 (-62.32%)
Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Stars: ✭ 434 (-10.14%)
SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
Stars: ✭ 661 (+36.85%)
GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
Stars: ✭ 122 (-74.74%)
GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
Stars: ✭ 71 (-85.3%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-95.65%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (-26.29%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+753.42%)
Cat GeneratorGenerate cat images with neural networks
Stars: ✭ 354 (-26.71%)
BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
Stars: ✭ 336 (-30.43%)
MelganMelGAN vocoder (compatible with NVIDIA/tacotron2)
Stars: ✭ 444 (-8.07%)
Simgan CaptchaSolve captcha without manually labeling a training set
Stars: ✭ 405 (-16.15%)
Hifi GanHiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Stars: ✭ 325 (-32.71%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-34.16%)
Wassersteingan.tensorflowTensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Stars: ✭ 419 (-13.25%)
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (-27.33%)
IganInteractive Image Generation via Generative Adversarial Networks
Stars: ✭ 3,845 (+696.07%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-35.2%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+759.63%)
SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Stars: ✭ 406 (-15.94%)
Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
Stars: ✭ 336 (-30.43%)
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (-1.24%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-33.33%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-18.43%)
DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
Stars: ✭ 321 (-33.54%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (-9.32%)
Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Stars: ✭ 317 (-34.37%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (-19.88%)
Improved Video GanGitHub repository for "Improving Video Generation for Multi-functional Applications"
Stars: ✭ 314 (-34.99%)
RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
Stars: ✭ 480 (-0.62%)
Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Stars: ✭ 464 (-3.93%)
Autogan[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Stars: ✭ 388 (-19.67%)
ZhihuThis 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.
Stars: ✭ 3,307 (+584.68%)
Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Stars: ✭ 301 (-37.68%)
ConsinganPyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Stars: ✭ 294 (-39.13%)
GansformerGenerative Adversarial Transformers
Stars: ✭ 421 (-12.84%)
Gan TimelineA timeline showing the development of Generative Adversarial Networks (GAN).
Stars: ✭ 379 (-21.53%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-40.17%)
MixupImplementation of the mixup training method
Stars: ✭ 377 (-21.95%)
DreampowerDeepNude with DreamNet improvements.
Stars: ✭ 287 (-40.58%)
Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Stars: ✭ 428 (-11.39%)