xuaikun Goto Github PK

rebiber

A simple tool in Python to fix incorrect bib entries automatically, based on their official information from the full ACL anthology and DBLP (for ICLR and other conferences)!

rechorus

“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.

representation-learning-on-heterogeneous-graph

Representation-Learning-on-Heterogeneous-Graph

research

novel deep learning research works with PaddlePaddle

rlcode

rltaskoffloading

science_online

Chrome+SwitchyOmega+Shadowsocks实现智能翻墙

seedcup2016

http://dian.hust.edu.cn/seedpk/?cat=15

service

远程登录服务器XShell(命令行控制) and Xftp(传输文件)

sigspatial-2021-giscup-2nd-place-solution

sjtu-courses

上海交通大学课程资料分享

source-for-transportation

Relation Source for Transportation

stgcn_ijcai-18

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

stock

stock，股票系统。使用python进行开发。

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

summary

总结相关经验

summer-camp

the process of summer camp

summer_camp

the process of summer camp

task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

tcn

Sequence modeling benchmarks and temporal convolutional networks

teachyourselfcs-cn

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

tfeilyu.github.io

than

THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks

thread

the relation between producer and consumer

tips_for_interview

我的一些面试心得；自学CS历程分享；找工作求职经验分享

traffic-prediction-open-code-summary

Summary of open source code for deep learning models in the field of traffic prediction

transedge

TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation System

ttpnet

Travel Time Prediction Based on Tensor Decomposition and Graph Embedding

vehicular-trajectories-processing-for-didi-open-data

Vehicular trajectories processing for Didi GAIA Open Data Set

word-function

Word使用的一些注意事项