Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

一款纯粹的ACG聚合类App

Awesome Generative Adversarial Networks with tensorflow

Improved WGAN in Pytorch

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

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

🎨 Anime generation with GANs.

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

No description provided.

A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.

Generate anime face using Auxiliary classifier Generative Adversarial Networks

Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10

Playing with MNIST. Machine Learning. Generative Models.

👩‍🦰 An ACGAN to generate anime faces with specific hair and eyes color

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

Tensorflow implemention of various GAN.

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

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

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

All GAN models in Keras

毕业设计:基于深度学习的土地覆盖分类方法研究

coverless_information_hiding with acgan

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

some models with easy understand code

Training Generative Adversarial Network models for scRNA-seq datasets

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

An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.