This repository is a tutorial to help learn NLP using Pytorch. This tutorial shows you how to implement state-of-the-art models with less than 100 lines of code. This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. This repository focuses on NLP models that are popular with researchers and practitioners working on problems involving text and language. This course includes lecture and seminar materials about NLP for each week.

I currently work as a Data Scientist for Informatica and I thought I'd share my process for learning new things. Recently I've been wanting to explore more into Deep Learning, especially Machine Vision and Natural Language Processing. I've been procrastinating a lot, mostly because it's been summer, but now that it's fall and starting to cool down and get dark early, I'm going to be spending more time learning when it's dark out. And the thing that deeply interests me is Deep Learning and Artificial Intelligence, partly out of intellectual curiosity and partly out of greed, as most businesses and products will incorporate Deep Learning/ML in some way. I started doing research and realized that an understanding and knowledge of Deep Learning was within my reach, but I also realized that I still have a lot to learn, more than I initially thought.