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bhpfelix / Compositional-Attention-Networks-for-Machine-Reasoning-PyTorch

A PyTorch implementation of Compositional Attention Networks
MIT License
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CAN PyTorch (Work in Progress)

This is a PyTorch implementation of the Compositional Attention Network architecture introduced in the recent ICLR 2018 paper:

Drew A. Hudson, Christopher D. Manning. "Compositional attention networks for machine reasoning." International Conference on Learning Representations, 2018.

This implementation is focused on exploring and re-producing the general characteristics of the architecture.