kushalj001/pytorch-question-answering
Important paper implementations for Question Answering using PyTorch
This project helps deep learning and NLP practitioners understand and implement state-of-the-art question answering systems. It provides step-by-step PyTorch code that takes a short paragraph (context) and questions as input, then identifies the exact answer spans within the context. The target user is someone familiar with deep learning and NLP basics who wants to learn how to implement complex research papers in question answering.
269 stars. No commits in the last 6 months.
Use this if you know the basics of deep learning and NLP and want to learn how to implement advanced question answering models from research papers in PyTorch.
Not ideal if you are looking for a high-level library to quickly build a question-answering system without needing to understand the underlying implementation details.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 29, 2020
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