There are 8 repositories under pytorch-gan topic.
A resource for learning about Machine learning & Deep Learning
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Simple Implementation of many GAN models with PyTorch.
A modern PyTorch implementation of SRGAN
[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
Noise2Void - Learning Denoising from Single Noisy Images
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Implement Human Pose Transfer papers with Pytorch
Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326
Pytorch implementation of BigGAN Generator with pretrained weights
Pytorch implementation of a Conditional WGAN with Gradient Penalty
PyTorch Tutorial for beginners
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Improved Training of Wasserstein GANs
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.
Progressively growing of GANs Pytorch Implementation
Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch
Noise2Noise: Learning Image Restoration without Clean Data
Enhanced Super-Resolution Generative Adversarial Networks
Tutorial for machine learning with python
pix2pix and Cycle GAN architectures for image style transfer
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Implementation of Conditional DCGAN for Dog Dataset
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.
A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.
A PyTorch notebook and implementation of a normal linear GAN
PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Generate new faces using GAN made in PyTorch.
Image-to-Image Translation with Conditional Adversarial Networks
PyTorch Bootcamp
Repository of all notebooks used in the GANs and VAEs event.
Adversarial Attack using a DCGAN
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.
PyTorch implementation of various GAN architectures.