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

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

Tensorflow implemention of various GAN.

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

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.