scoutbee/pytorch-nlp-notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
These interactive notebooks teach you how to build machine learning models for common language tasks using PyTorch. You'll learn to take text data, like movie reviews or articles, and produce outputs such as sentiment predictions, translated sentences, or newly generated text. This resource is for data scientists and machine learning engineers who want hands-on experience developing NLP solutions.
421 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking to learn how to implement deep learning models for natural language processing with PyTorch.
Not ideal if you are looking for a ready-to-use application or a high-level library for NLP without needing to understand the underlying model architecture.
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Nov 18, 2019
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