# CS224N-2019

**Repository Path**: julyjohn/CS224N-2019

## Basic Information

- **Project Name**: CS224N-2019
- **Description**: Luvata's completed implementation solutions for CS224N 2019

- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-12
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CS224N-2019

My solutions for CS224N 2019

## Course links
- Course page [CS224N](http://cs224n.stanford.edu)
- Lecture videos 2019 [Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)
- [Stanford online hub](http://onlinehub.stanford.edu/cs224)
- Final project SQuAD 2.0: [handout](http://web.stanford.edu/class/cs224n/project/default-final-project-handout.pdf), [github](https://github.com/chrischute/squad) repo

## Misc
- Install Chrome extention 
[Text all the thing](https://chrome.google.com/webstore/detail/tex-all-the-things/cbimabofgmfdkicghcadidpemeenbffn)
for better formula display
- Since Kaggle updated their GPUs into P100 (2 x performance compare to K80), this 
[Kaggle kernel](https://www.kaggle.com/theunbidden/a5-cs224n-2019) will show how I trained A5 using Kaggle kernel 
(around 6 hours)