Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
#计算机科学#Awesome Generative Adversarial Networks with tensorflow
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
🎨 Anime generation with GANs.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
Generate anime face using Auxiliary classifier Generative Adversarial Networks
#计算机科学#A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
#计算机科学# 👩🦰 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.
#计算机科学#This is the repository of Deep Learning for Computer Vision at National Taiwan University.
Classic Augmentation Based Classifier Generative Adversarial Network (CACGAN) for COVID-19 Diagnosis