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https://github.com/douglasrizzo/mygan
https://github.com/douglasrizzo/mygan
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/douglasrizzo/mygan
- Owner: douglasrizzo
- Created: 2024-02-03T20:06:44.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2024-02-04T14:58:25.000Z (11 months ago)
- Last Synced: 2024-12-17T19:28:33.817Z (23 days ago)
- Language: Python
- Size: 5.52 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Simple GAN implementations
Implementations of DCGAN and WGAN in PyTorch.
## Usage
Make sure you are already logged on to WandB, the scripts will create projects called "wgan_celeba" for you to track progress.
- Run `python -m mygan` to train a WGAN on CelebFaces.
## Samples
The table below displays samples generated from the same noise vectors at different epochs in training.
| 0 | 35 | 75 | 109 | 135 |
|-----------------|--------------------|--------------------|---------------------|---------------------|
| ![0](assets/image.png) | ![35](assets/image-1.png) | ![75](assets/image-2.png) | ![109](assets/image-3.png) | ![137](assets/image-4.png) |You can see some cool samples [in this WandB report](https://wandb.ai/tetamusha/wgan_celeba/reports/GAN-training-on-image-datasets--Vmlldzo2NzMxODkx).
## References
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