shuailong Goto Github PK

acl2017-non-factoid-qa

Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"

allennlp

An open-source NLP research library, built on PyTorch.

berkeley-entity

The Berkeley Entity Resolution System jointly solves the problems of named entity recognition, coreference resolution, and entity linking with a feature-rich discriminative model.

bilm-tf

SenMaking ELMo baseline

blamepipeline

Blame Tie Extraction Task codebase

ccgsupertagging

LSTM CCG Supertagging

covid19-twitter-topic-analysis

Official code for paper "Exploring COVID-19-related Twitter Topic Dynamics across Countries"

csqa

commonsense qa

ditechfirstround

drqa

Analyze DrQA error cases

dynet

DyNet: The Dynamic Neural Network Toolkit

easyccg

em

Machine Learning Assignment 3

entityword2vec

Train word2vec and keeps all entities regardless of their frequency

helpyanma.github.io

iamhere

Game Design final project.

imagewatermarking

Watermark Factory is a simple website to help you add your own watermark to your image.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

learngitkraken

Learning

leetcode

A problem a day keeps you not a dull boy.

musicgarden

A music management app based on Node.js and html5 for Digital Media Management course.

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

pat

ZJU PAT Advanced level Problems.

perceptron

Machine Learning Assignment 1

personalwebsite

Personal Website

pysankey

create sankey diagrams with matplotlib

python-bpe

Byte Pair Encoding for Python!

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

rlqa

QA Using Reinforcement Learning