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README.md
@@ -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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+### 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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+
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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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