vlgiitr/dmn-plus
A Pytorch tutorial for implementation of Dynamic memory Network Plus
This project helps researchers and students working with advanced natural language processing to understand how Dynamic Memory Networks Plus (DMN+) are implemented in PyTorch. It takes a textual dataset (like question-answer pairs) and demonstrates the internal workings of the DMN+ architecture, producing a trained model capable of answering questions. This is for machine learning researchers, NLP engineers, and students exploring memory network models.
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Use this if you are a machine learning practitioner or student who wants a practical, code-based explanation of the DMN+ model for question answering.
Not ideal if you are looking for an out-of-the-box solution to integrate question answering into a product or service, as this is an educational implementation.
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Jupyter Notebook
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Last pushed
Jun 08, 2018
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