domluna/memn2n
End-To-End Memory Network using Tensorflow
This project helps machine learning researchers and practitioners understand and apply End-To-End Memory Networks for question answering. It takes a dataset of short stories and corresponding questions with answers, and outputs a trained model capable of answering new questions based on similar stories. This tool is for those experimenting with advanced neural network architectures for natural language understanding.
341 stars. No commits in the last 6 months.
Use this if you are a researcher or advanced practitioner exploring memory-augmented neural networks for tasks like factual question answering within given contexts.
Not ideal if you need a production-ready, off-the-shelf solution for general knowledge question answering or conversational AI.
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341
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131
Language
Python
License
MIT
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Last pushed
Feb 17, 2017
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