https://github.com/DequanZhu/GANs-collections-tf2.0_keras-eager_mode

This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN
https://github.com/DequanZhu/GANs-collections-tf2.0_keras-eager_mode

Last synced: 2 months ago
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This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN

• Host: GitHub
• URL: https://github.com/DequanZhu/GANs-collections-tf2.0_keras-eager_mode
• Owner: DequanZhu
• Created: 2019-03-21T08:03:41.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-07-02T12:10:03.000Z (over 1 year ago)
• Last Synced: 2024-08-02T19:01:41.348Z (6 months ago)
• Language: Python
• Homepage:
• Size: 184 KB
• Stars: 136
• Watchers: 1
• Forks: 25
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• Awesome-Tensorflow2 - DequanZhu/GANs-collections-tf2.0_keras-eager_mode

README

        
# Description

> This repository implements all kinds of GAN-models based on tensorflow2.0 keras API and in eager mode. The code was only validated on windows platform and just cpu mode.

# How to use

> [Install tensorflow2.0-aplha version.](https://tensorflow.google.cn/install/pip)

> Anaconda virtual enviroment is recommended.

> To support GPU mode,please refer to [this](https://tensorflow.google.cn/guide/using_gpu)(I haven't validated on GPU beacuse have no GPU  to use).

# TODO

- [x] To implement ACGAN, EBGAN, BEGAN, etc.

- [x] Support GPU run.