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https://github.com/jiamings/wgan
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
https://github.com/jiamings/wgan
generative generative-adversarial-network generative-model tensorflow tensorflow-experiments tensorflow-models
Last synced: about 23 hours ago
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Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
- Host: GitHub
- URL: https://github.com/jiamings/wgan
- Owner: jiamings
- Created: 2017-02-02T04:25:09.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-03T05:26:24.000Z (over 6 years ago)
- Last Synced: 2024-09-27T21:03:43.309Z (about 2 months ago)
- Topics: generative, generative-adversarial-network, generative-model, tensorflow, tensorflow-experiments, tensorflow-models
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 238
- Watchers: 10
- Forks: 82
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Wasserstein GAN
Tensorflow implementation of Wasserstein GAN.
Two versions:
- wgan.py: the original clipping method.
- wgan_v2.py: the gradient penalty method. (Improved Training of Wasserstein GANs).
How to run (an example):
```
python wgan_v2.py --data mnist --model mlp --gpus 0
```