Jun 15, 2025 · GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs). Can be installed with pip using pip install tensorflow-gan, and used with import …

Simple Implementation of many GAN models with PyTorch. - Yangyangii/GAN-Tutorial

Apr 12, 2023 · 做 GAN 有一段时间了，可以回答下这个问题。 G是你的任务核心，最后推理用的也是G，所以G的LOSS是要下降收敛接近0的，G的目标是要欺骗到D。 而成功的训练中，由于 …

Jun 27, 2024 · Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator …

GAN before using JS divergence has the problem of non-overlapping, leading to mode collapse and convergence difficulty. Use EM distance or Wasserstein-1 distance, so GAN solve the two …

DU-GAN This repository contains the PyTorch implementation of the paper: DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT …

最后说一下比较有意思的事： VAE、GAN、Flow (NICE)三种模型都是2013-2014年提出来的（VAE是13年放到arXiv上的，后来中了NIPS；GAN也同时中了NIPS，而NICE最早是14年的 …

GAN Lab is a novel interactive visualization tool for anyone to learn and experiment with Generative Adversarial Networks (GANs), a popular class of complex deep learning models. …

Idea: Use generative adversarial networks (GANs) to generate real-valued time series, for medical purposes. As the title suggests. The GAN is R GAN because it uses recurrent neural networks …