pranv/ARC
Code for Attentive Recurrent Comparators
This project is a research tool for machine learning scientists and researchers working on attention mechanisms and recurrent neural networks. It takes as input various datasets commonly used in deep learning research and outputs experimental results and model evaluations. This is for those studying and advancing the field of neural network architectures.
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Use this if you are a machine learning researcher or student looking to understand, reproduce, or build upon the 'Attentive Recurrent Comparators' paper's methods.
Not ideal if you are looking for a general-purpose machine learning library or a tool for immediate application to real-world business problems.
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58
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13
Language
Python
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Last pushed
Mar 03, 2017
Commits (30d)
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