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https://github.com/Hourout/GAN-keras

tensorflow2.x implementations of Generative Adversarial Networks.
https://github.com/Hourout/GAN-keras

deep-learning gan gan-keras generative-adversarial-networks keras keras-implementations neural-networks tensorflow-gan

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tensorflow2.x implementations of Generative Adversarial Networks.

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![](https://github.com/Hourout/GAN-keras/blob/master/image/logo.png)

tensorflow2.X implementations of Generative Adversarial Networks.

## Completed list
- [中文介绍](https://mp.weixin.qq.com/s/GNPBRTRdJP7nnT1IzVp6sQ) | [ACGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/ACGAN.py) | [(Conditional Image Synthesis With Auxiliary Classifier GANs)](https://arxiv.org/abs/1610.09585)
- [中文介绍](https://mp.weixin.qq.com/s/j-wctUWiexs7EZrAMTT3Hg) | [BIGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/BIGAN.py) | [(Bidirectional Generative Adversarial Networks)](https://arxiv.org/abs/1605.09782)
- [中文介绍](https://mp.weixin.qq.com/s/4fN5t72qyo8CstFtq3yv4Q) | [BSGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/BSGAN.py) | [(Boundary Seeking Generative Adversarial Networks)](https://arxiv.org/abs/1702.08431v1)
- [中文介绍](https://mp.weixin.qq.com/s/6BtQ9ajQRR-saRpcD9DCjw) | [CGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/CGAN.py) | [(Conditional Generative Adversarial Nets)](https://arxiv.org/abs/1411.1784)
- [中文介绍](https://mp.weixin.qq.com/s/kzHQoAvLVhUmidhuNl2gaA) | [COGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/COGAN.py) | [(Coupled Generative Adversarial Networks)](https://arxiv.org/abs/1606.07536)
- [中文介绍](https://mp.weixin.qq.com/s/7HnEQEET-TyX473JhK06ig) | [DCGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/DCGAN.py) | [(Deep Convolutional Generative Adversarial Networks)](http://arxiv.org/abs/1511.06434)
- [中文介绍](https://mp.weixin.qq.com/s/qBe-ti4RKMM1og0Pl5F5wQ) | [DualGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/DualGAN.py) | [(DualGAN: Unsupervised Dual Learning for Image-to-Image Translation)](https://arxiv.org/abs/1704.02510)
- [中文介绍](https://mp.weixin.qq.com/s/X8rnzGMbRaCOH_MkPrTymw) | [GAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/GAN.py) | [(Generative Adversarial Networks)](https://arxiv.org/abs/1406.2661)
- [中文介绍](https://mp.weixin.qq.com/s/z56BueII1AbCVVvRo0nYdw) | [LSGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/LSGAN.py) | [(Least Squares Generative Adversarial Networks)](https://arxiv.org/abs/1611.04076)
- [中文介绍](https://mp.weixin.qq.com/s/bbtLq_NCSEeBOOjQyPgigw) | [NEMGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/NEMGAN.py) | [(Noise Engineered Mode-matching GANs)](https://arxiv.org/abs/1811.03692)
- [中文介绍](https://mp.weixin.qq.com/s/uAHFCRWMOI1ZMUhYOykDqw) | [SGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/SGAN.py) | [(Semi-Supervised Learning with Generative Adversarial Networks)](https://arxiv.org/abs/1606.01583)
- [中文介绍](https://mp.weixin.qq.com/s/nLgl2iIpNXBuQsMngoTQ3g) | [WGAN](https://github.com/Hourout/GAN-keras/blob/master/GAN/WGAN.py) | [(Wasserstein GAN)](https://arxiv.org/abs/1701.07875)

## Welcome to WeChat blog
![](https://github.com/Hourout/GAN-keras/blob/master/image/keras_wechat.jpg)

## Contact
Please contact me if you have any related questions or improvements.

[WeChat](https://github.com/Hourout/GAN-keras/blob/master/image/hourout_wechat.jpg)