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hvy committed Jan 31, 2017
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Chainer implementation of the Wesserstein GAN by Martin Arjovsky et al. Note that this is not the official implementation. The official implementation is https://github.com/martinarjovsky/WassersteinGAN.

## Run

## Training Loss
Train the models with CIFAR-10. Randomly sampled images will be saved under a subdirectory called `result` automatically created when training.

```python
python train.py --batch-size 64 --epochs 100 --gpu 1
```

## Sample

Plotting the estimates with CIFAR-10.

![](images/loss.png)

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