pytorch-gan

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

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！

A modern PyTorch implementation of SRGAN

Simple Implementation of many GAN models with PyTorch.

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

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 Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Pytorch implementation of BigGAN Generator with pretrained weights

A Generative Adversarial Network implementation that generates Sharingans

Noise2Void - Learning Denoising from Single Noisy Images

PyTorch Tutorial for beginners

Progressively growing of GANs Pytorch Implementation

Pytorch implementation of a Conditional WGAN with Gradient Penalty

Tutorial for machine learning with python

Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch

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.

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Improved Training of Wasserstein GANs

Generate new faces using GAN made in PyTorch.

Noise2Noise: Learning Image Restoration without Clean Data

Implementation of Conditional DCGAN for Dog Dataset

A PyTorch notebook and implementation of a normal linear GAN

A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

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.

Repository of all notebooks used in the GANs and VAEs event.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Spectral Normalization for Generative Adversarial Networks

Enhanced Super-Resolution Generative Adversarial Networks