AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (-61.9%)
Alphagan MattingThis project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
Stars: ✭ 138 (-34.29%)
Opt MmdLearning kernels to maximize the power of MMD tests
Stars: ✭ 181 (-13.81%)
Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Stars: ✭ 658 (+213.33%)
Dr Gan By PytorchAn implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Stars: ✭ 106 (-49.52%)
BicycleganToward Multimodal Image-to-Image Translation
Stars: ✭ 1,215 (+478.57%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-35.24%)
GazeanimationGive a portrait face, move the gaze up
Stars: ✭ 77 (-63.33%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (-63.81%)
TbganProject Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
Stars: ✭ 105 (-50%)
Lightweight GanImplementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Stars: ✭ 539 (+156.67%)
PhpprojectA pure PHP library for reading and writing project management files
Stars: ✭ 179 (-14.76%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+3130%)
DeliganThis project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Stars: ✭ 103 (-50.95%)
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (+149.52%)
Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Stars: ✭ 147 (-30%)
Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
Stars: ✭ 518 (+146.67%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-64.29%)
3d IwganA repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Stars: ✭ 166 (-20.95%)
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-35.71%)
ArteditingModeling Artistic Workflows for Image Generation and Editing (ECCV 2020)
Stars: ✭ 75 (-64.29%)
Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Stars: ✭ 9,546 (+4445.71%)
Cycle Gan TfReimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.
Stars: ✭ 74 (-64.76%)
Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
Stars: ✭ 145 (-30.95%)
Text To ImageGenerative Adversarial Text to Image Synthesis / Please Star -->
Stars: ✭ 498 (+137.14%)
ExprganFacial Expression Editing with Controllable Expression Intensity
Stars: ✭ 98 (-53.33%)
Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
Stars: ✭ 74 (-64.76%)
Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (-20.95%)
Gan VisVisualization of GAN training process
Stars: ✭ 74 (-64.76%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-14.76%)
TorchelieTorchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Stars: ✭ 98 (-53.33%)
Biggan PytorchPytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
Stars: ✭ 479 (+128.1%)
ImagedeblurringA Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"
Stars: ✭ 72 (-65.71%)
GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (+119.05%)
Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Stars: ✭ 166 (-20.95%)
ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Stars: ✭ 72 (-65.71%)
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 (-66.19%)
CatdcganA DCGAN that generate Cat pictures 🐱💻
Stars: ✭ 177 (-15.71%)
Dagan The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Stars: ✭ 132 (-37.14%)
SinganPytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
Stars: ✭ 204 (-2.86%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (-3.81%)
ColorizerAdd colors to black and white images with neural networks (GANs).
Stars: ✭ 69 (-67.14%)
Synthetic2realisticECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
Stars: ✭ 165 (-21.43%)
Electra中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
Stars: ✭ 132 (-37.14%)
Sequentialdata GanTensorflow Implementation of GAN modeling for sequential data
Stars: ✭ 69 (-67.14%)
Celebamask HqA large-scale face dataset for face parsing, recognition, generation and editing.
Stars: ✭ 1,156 (+450.48%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-67.62%)