This repository provides tools to train and evaluate the Genome-AC-GAN model for generating realistic artificial human genomes.
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Updated
Feb 26, 2024 - Jupyter Notebook
This repository provides tools to train and evaluate the Genome-AC-GAN model for generating realistic artificial human genomes.
Classic Augmentation Based Classifier Generative Adversarial Network (CACGAN) for COVID-19 Diagnosis
Memory Replay GANs: learning to generate images from new categories without forgetting
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
This is the repository of Deep Learning for Computer Vision at National Taiwan University.
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
🎨 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.
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.
Generative Adversarial Network Implementations in Keras
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
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