🛡️ Generate synthetic data for intrusion detection systems using GANs to improve performance on NSL-KDD and UNSW-NB15 datasets.

Hybrid WCGAN-ACGAN framework for balanced network intrusion detection on NSL-KDD and UNSW-NB15 datasets using XGBoost, Decision Trees, CNN, and AutoGluon classifiers

This is the repository of Deep Learning for Computer Vision at National Taiwan University.

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

This repository provides tools to train and evaluate the Genome-AC-GAN model for generating realistic artificial human genomes.

Improved WGAN in Pytorch

Classic Augmentation Based Classifier Generative Adversarial Network (CACGAN) for COVID-19 Diagnosis

Memory Replay GANs: learning to generate images from new categories without forgetting

毕业设计:基于深度学习的土地覆盖分类方法研究

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Collection of generative models in Tensorflow

Awesome Generative Adversarial Networks with tensorflow

🎨 Anime generation with GANs.

A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.

一款纯粹的ACG聚合类App

Personal repository to learn about different types of GAN models.

Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.

Collection of generative models in Pytorch version.

Tensorflow implemention of various GAN.