billy-liu-12 Goto Github PK

8bit-cpu

An 8bit-cpu based on verilog

ace2005parser

ACE2005事件抽取数据预处理

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

baidu_ee

百度，事件抽取

btm

Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)

covid19_twitter

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

crftm

Incorporating Word Embeddings into Topic Modeling of Short Texts

cs224n-resource

CS224n Assignment & Readings

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

cs224u

Code for Stanford CS224u

cs224w-stanford

This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs

cs231n

cs231n assignments sovled by https://ghli.org

cs231n.github.io

Public facing notes page

deep-learning-with-pytorch

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

dfc

The java implementation of "Seed-Guided Topic Model for Document Filtering and Classification ", TOIS 2018.

dl_eventextractionpapers

2015年以来基于深度学习方法的事件抽取论文整理

dsp-files

Matlab dsp toolbox

ed-gated-gcn

Official implementation of the paper "Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks"

eegcned

Source code for Findings of EMNLP2020 paper Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

eegcned-modified

Modified eegcned

electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

ese650_final_project

facial

fasttext

Library for fast text representation and classification.

gpudmm

The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)

graph-convolutional-networks-with-argument-aware-pooling-for-event-detection

Implement model in paper Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers