NLP Theory & Implementation

This repo contains my study notes and Python implementation of NLP models

Folder Structure

.
├── large_files                   # Data files
├── markdown                      # Study notes and images
├── notebooks                     # Python implementation of NLP models
└── README.md

(Note: for the math equations in markdown files, download the repo, and view the files in other editors that support mathjax.)

Content

• Word2Vec
  • Note
  • Word2Vec implemention in numpy
• GloVe
  • Note
  • Text classification using GloVe
  • GloVe implementation in numpy
• Bidirectional RNN
  • Note
  • Toxic comment classification with Bidirectional RNN
• Seq2Seq
  • Note
  • Poetry Generation & Neural Machine Translation with Seq2Seq
• Attention
  • Note
  • Neural Machine Translation with Attention
• Memory Network
  • Note
  • Q&A with Memory Network

TODO

• Complete Deep Learning: Advanced NLP and RNNs
• Complete Natural Language Processing with Deep Learning in Python
• More implementations

Contact

Nancy Yan - yy2799@columbia.edu

Reference

• Udemy course: Deep Learning: Advanced NLP and RNNs
• Udemy course: Natural Language Processing with Deep Learning in Python
• Coursera course: Natural Language Processing with Attention Models
• CS224n: Natural Language Processing with Deep Learning