DeepLearningForNLPInPytorch and pytorch-nlp-notebooks
These two tools are competitors, as both are Python notebook tutorials demonstrating deep learning for natural language processing using PyTorch.
About DeepLearningForNLPInPytorch
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
This tutorial helps you understand how to use deep learning techniques to analyze and predict linguistic structures within text. You'll start with fundamental concepts and progress to building models that can process text input and output classifications like part-of-speech tags or named entities. It's designed for students or practitioners in Natural Language Processing who want to apply deep learning to text data.
About pytorch-nlp-notebooks
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.
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