pytorch-gan
There are 79 repositories under pytorch-gan topic.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
fendouai/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
Yangyangii/GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
aitorzip/PyTorch-SRGAN
A modern PyTorch implementation of SRGAN
akshitac8/tfvaegan
[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
hanyoseob/pytorch-noise2void
Noise2Void - Learning Denoising from Single Noisy Images
nikhilbarhate99/Deterministic-GAIL-PyTorch
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
budui/Human-Pose-Transfer
Implement Human Pose Transfer papers with Pytorch
christopher-beckham/hologan-pytorch
Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326
ivclab/BigGAN-Generator-Pretrained-Pytorch
Pytorch implementation of BigGAN Generator with pretrained weights
gcucurull/cond-wgan-gp
Pytorch implementation of a Conditional WGAN with Gradient Penalty
inmoonlight/PyTorchTutorial
PyTorch Tutorial for beginners
hanyoseob/pytorch-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
hanyoseob/pytorch-WGAN-GP
Improved Training of Wasserstein GANs
aditya30394/Person-Re-Identification
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
avhirupc/Progressive-Growing-Of-GANs-Pytorch-
Progressively growing of GANs Pytorch Implementation
h3lio5/gan-pytorch
Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch
hanyoseob/pytorch-noise2noise
Noise2Noise: Learning Image Restoration without Clean Data
sukkritsharmaofficial/SuperResGAN
Enhanced Super-Resolution Generative Adversarial Networks
Yangyangii/MachineLearningTutorial
Tutorial for machine learning with python
colinpcurtis/datares_GANs
pix2pix and Cycle GAN architectures for image style transfer
hanyoseob/pytorch-StarGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
ashukid/Conditional-GAN-pytorch
Implementation of Conditional DCGAN for Dog Dataset
ChenLiu-1996/GAN-evaluator
A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.
hanyoseob/pytorch-DCGAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
itsayushthada/Text-To-Image
A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.
nourihilscher/PyTorch-Linear-GAN
A PyTorch notebook and implementation of a normal linear GAN
davidiommi/Panda-3D-GAN-Pytorch
PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.
hanyoseob/pytorch-SNGAN
Spectral Normalization for Generative Adversarial Networks
andreiliphd/gan-faces-generator
Generate new faces using GAN made in PyTorch.
hanyoseob/pytorch-pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
imsanjoykb/PyTorch-Ford
PyTorch Bootcamp
smlra-kjsce/Introduction-to-VAEs-and-GANs
Repository of all notebooks used in the GANs and VAEs event.
Ksuryateja/AdvExGAN
Adversarial Attack using a DCGAN
parikshitkumar1/Image-Generation-using-Generative-Networks
A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.
Vrushank264/GANs-PyTorch
PyTorch implementation of various GAN architectures.