Dynamic-memory-networks-in-Theano and Improved-Dynamic-Memory-Networks-DMN-plus

Dynamic-memory-networks-in-Theano
50
Established
Improved-Dynamic-Memory-Networks-DMN-plus
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 330
Forks: 108
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 167
Forks: 62
Downloads: —
Commits (30d): 0
Language: Python
License: —
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About Dynamic-memory-networks-in-Theano

YerevaNN/Dynamic-memory-networks-in-Theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

This project helps researchers and developers explore and experiment with Dynamic Memory Networks, a type of neural network designed for question answering tasks. It takes structured questions and related facts (like those in the bAbI tasks) as input and outputs the most probable answer. This is primarily useful for those working on natural language understanding and artificial intelligence research.

natural-language-understanding question-answering AI-research neural-networks deep-learning

About Improved-Dynamic-Memory-Networks-DMN-plus

ethancaballero/Improved-Dynamic-Memory-Networks-DMN-plus

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

This helps you answer questions based on a story or text. You provide a story and a question, and it gives you a predicted answer along with its confidence. This is for researchers or practitioners exploring advanced question-answering systems for textual information.

question-answering natural-language-understanding text-comprehension knowledge-extraction

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