NLP-with-PyTorch

This repository contains the reference notes and code implementation from Natural Language Processing with PyTorch book.

Note: This repository is only for reference and shouldnt be used as book substitute. Go, buy and read the book if you are interested in learning how to use PyTorch to solve NLP problems. This is one of the most practical and useful books I have read on NLP.

This respository contains the following:

• Book code and notes
• Example of applying the concepts learned in book to kaggle practice competition: Natural Language Processing with Disaster Tweets

Table of Contents

Book Code

• Chapter 01: Introduction
• Chapter 02: Quick Tour of traditional NLP
• Chapter 03: Foundational Components of Neural Networks
• Chapter 04: Feed Forward Networks for NLP
• Chapter 05: Embedding Words and Types
• Chapter 06: Sequence Modeling for Natural Language Processing
• Chapter 07: Intermediate Sequence Modeling for Natural Language Processing
• Chapter 08: Advanced Sequence Modeling for Natural Language Processing
• Chapter 09: Classics, Frontiers, and Next Steps

Natural Language Processing with Disaster Tweets

• Dataset Exploration
• Using Perceptron, Multi-Layer Perceptron and CNN based models for classification
• Embedding based classifier for classification
• Simple RNN based classifier for classification

References

• Original Book Github Repo