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**Update 2019/06/24**: A model trained on 10% of the Shepard-Metzler dataset has been added, the following notebook explains the main features of this model: [nbviewer](https://nbviewer.jupyter.org/github/wohlert/generative-query-network-pytorch/blob/master/mental-rotation.ipynb)
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# Generative Query Network
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This is a PyTorch implementation of the Generative Query Network (GQN)
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The implementation shown in this repository consists of all of the
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representation architectures described in the paper along with the
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generative model that is similar to the one described in
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generative model that is similar to the one described in
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"Towards conceptual compression" by Gregor et al.
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Additionally, this repository also contains implementations of the **DRAW
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