pytorch-gan

A resource for learning about Machine learning & Deep Learning

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！

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

Implement Human Pose Transfer papers with Pytorch

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

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

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

Noise2Noise: Learning Image Restoration without Clean Data

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.

Tutorial for machine learning with python

Progressively growing of GANs Pytorch Implementation

Enhanced Super-Resolution Generative Adversarial Networks