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README.md

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@@ -12,6 +12,15 @@ python vqvae.py --data-folder /tmp/miniimagenet --output-folder models/vqvae
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```
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python pixelcnn_prior.py --data-folder /tmp/miniimagenet --model models/vqvae --output-folder models/pixelcnn_prior
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```
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### Datasets Tested
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#### Image
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1. MNIST
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2. FashionMNIST
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3. CIFAR10
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4. Mini-ImageNet
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#### Video
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1. Atari 2600 - Boxing (OpenAI Gym) [code](https://github.com/ritheshkumar95/pytorch-vqvae/tree/evan/video)
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### Reconstructions from VQ-VAE
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Top 4 rows are Original Images. Bottom 4 rows are Reconstructions.

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