All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Stars: ✭ 630 (+71.66%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (-48.5%)
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Stars: ✭ 124 (-66.21%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-79.56%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+39.78%)
HyperganComposable GAN framework with api and user interface
Stars: ✭ 1,104 (+200.82%)
UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-81.47%)
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
Stars: ✭ 202 (-44.96%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (+99.18%)
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.
Stars: ✭ 210 (-42.78%)
Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
Stars: ✭ 225 (-38.69%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-86.38%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-21.25%)
Deepfashion try onOfficial code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR‘20 https://arxiv.org/abs/2003.05863
Stars: ✭ 332 (-9.54%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (-22.07%)
Beta VaePytorch implementation of β-VAE
Stars: ✭ 326 (-11.17%)
Pytorch Vsumm ReinforceAAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Stars: ✭ 283 (-22.89%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+765.94%)
Bilibili Plus课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB
Stars: ✭ 266 (-27.52%)
SealionThe first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Stars: ✭ 278 (-24.25%)
PaseProblem Agnostic Speech Encoder
Stars: ✭ 348 (-5.18%)
Deeperforensics 1.0[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
Stars: ✭ 338 (-7.9%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-13.35%)
CorexCorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
Stars: ✭ 266 (-27.52%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Stars: ✭ 293 (-20.16%)
Pytorch Mnist Celeba Cgan CdcganPytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Stars: ✭ 290 (-20.98%)
CycleganTensorflow implementation of CycleGAN
Stars: ✭ 348 (-5.18%)
Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
Stars: ✭ 3,144 (+756.68%)
Pytorch AddaA PyTorch implementation for Adversarial Discriminative Domain Adaptation
Stars: ✭ 329 (-10.35%)
He4o和(he for objective-c) —— “信息熵减机系统”
Stars: ✭ 284 (-22.62%)
CcCompetitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Stars: ✭ 348 (-5.18%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+744.41%)
DgiDeep Graph Infomax (https://arxiv.org/abs/1809.10341)
Stars: ✭ 326 (-11.17%)
VideolayoutTo play video on layout background (textureview videoview for layout designs)
Stars: ✭ 279 (-23.98%)
Mmt[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Stars: ✭ 345 (-5.99%)
Generative models tutorial with demoGenerative 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..
Stars: ✭ 276 (-24.8%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-12.26%)
SpeechsplitUnsupervised Speech Decomposition Via Triple Information Bottleneck
Stars: ✭ 266 (-27.52%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-1.91%)
Tf 3dganTensorflow implementation of 3D Generative Adversarial Network.
Stars: ✭ 263 (-28.34%)
SelflowSelFlow: Self-Supervised Learning of Optical Flow
Stars: ✭ 319 (-13.08%)
L2cLearning to Cluster. A deep clustering strategy.
Stars: ✭ 262 (-28.61%)
TextboxTextBox is an open-source library for building text generation system.
Stars: ✭ 257 (-29.97%)
Paragraph Vectors📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Stars: ✭ 337 (-8.17%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-14.71%)
Web🍿 Free and open-source tech video hub.
Stars: ✭ 255 (-30.52%)
VQGAN-CLIP-DockerZero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized
Stars: ✭ 58 (-84.2%)
GanfitProject Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Stars: ✭ 350 (-4.63%)
FreetubeAn Open Source YouTube app for privacy
Stars: ✭ 4,626 (+1160.49%)
Chinese Ufldl Tutorial[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
Stars: ✭ 303 (-17.44%)
TadGANCode for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
Stars: ✭ 67 (-81.74%)
Golang Videos RuСобрание видеозаписей докладов про Go | 2016-2018
Stars: ✭ 303 (-17.44%)