A resource for learning about Machine learning & Deep Learning
-
Updated
Dec 21, 2022 - Python
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!
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
Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326
Implement Human Pose Transfer papers with Pytorch
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Noise2Void - Learning Denoising from Single Noisy Images
Pytorch implementation of BigGAN Generator with pretrained weights
PyTorch Tutorial for beginners
Pytorch implementation of a Conditional WGAN with Gradient Penalty
Progressively growing of GANs Pytorch Implementation
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
Tutorial for machine learning with python
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, un…
pix2pix and Cycle GAN architectures for image style transfer
Add a description, image, and links to the pytorch-gan topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-gan topic, visit your repo's landing page and select "manage topics."