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Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
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
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
🎨 Anime generation with GANs.
Generate anime face using Auxiliary classifier Generative Adversarial Networks
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
Playing with MNIST. Machine Learning. Generative Models.
👩🦰 An ACGAN to generate anime faces with specific hair and eyes color
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.
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
coverless_information_hiding with acgan
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.
This software can be used to convert a sequence of digits to a video where the hand-written representations of those digits are twining from one to the other.
An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.
This repository provides tools to train and evaluate the Genome-AC-GAN model for generating realistic artificial human genomes.