pytorch-gan

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

Noise2Void - Learning Denoising from Single Noisy Images

[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

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

Enhanced Super-Resolution Generative Adversarial Networks

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

Noise2Noise: Learning Image Restoration without Clean Data

Tutorial for machine learning with python

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