PyTorchNLPBook and pytorch-nlp-notebooks
About PyTorchNLPBook
delip/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
This repository provides code and data examples for the book "Natural Language Processing with PyTorch." It helps you understand and build applications that can process and understand human language, such as classifying sentiment from text or translating languages. It's intended for aspiring data scientists or machine learning engineers looking to develop practical NLP skills.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work