delip/PyTorchNLPBook
A PyTorch-based NLP course with code examples for building language models and neural networks for text classification, generation, and translation.
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This repository contains Jupyter Notebooks and code samples from the O’Reilly book Natural Language Processing with PyTorch. It covers foundational NLP deep learning topics including feed-forward networks, word embeddings, sequence modeling, CNNs for text, and neural machine translation. The materials teach how to build intelligent language applications using PyTorch, with examples for sentiment classification, surname generation, and other NLP tasks.
Frequently asked
- What is delip/PyTorchNLPBook?
- A PyTorch-based NLP course with code examples for building language models and neural networks for text classification, generation, and translation.
- Is PyTorchNLPBook open source?
- Yes — delip/PyTorchNLPBook is open source, released under the Apache-2.0 license.
- What language is PyTorchNLPBook written in?
- delip/PyTorchNLPBook is primarily written in Jupyter Notebook.
- How popular is PyTorchNLPBook?
- delip/PyTorchNLPBook has 2.1k stars on GitHub.
- Where can I find PyTorchNLPBook?
- delip/PyTorchNLPBook is on GitHub at https://github.com/delip/PyTorchNLPBook.