Famaqq's repositories
Cam-Traj-Rec
Official implementation of "Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data"(in KDD 2022)
learning-note
java开发 面试八股文（个人的面试及工作总结）
leetcode
Leetcode solutions
MMVC_de_com
The released dataset and the official implementation of "Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data"
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
AiLearning-Theory-Applying
快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
hmm-lib
Library for time-inhomogeneous Hidden Markov Models
Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
offline-map-matching
Matches a sequence of GPS coordinates to road segments
online-taxi-config-profile
网约车配置中心源
Paper-notes
Take notes of reading papers
map-matching
The map matching functionality is now located in the main repository https://github.com/graphhopper/graphhopper#map-matching
leetcode-1
LeetCode Top 100 Liked Questions | Top Interview Questions | LeetCode 用户最喜欢的100题 | 面试最容易被问到的题
E2DTC
Source code for E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. ICDE 2021.
gmission
gmission server
online-taxi-file
网约车二期资料
online-taxi
网约车项目
springboot-imgupload
springboot+imgupload
RongSys
Private Project 基于Springboot2.1的项目
GTree
Indexing and Answering Single Pair Shortest Path Query for RoadNetworks
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
django2.0-course
Django2.0视频教程相关代码（杨仕航）
MF-STN
The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"
ST-MetaNet
The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
RecursiveSubdivision-basedSampling
The implement of A Recursive Subdivision Technique for Sampling Multi-class Scatterplots, more infomation can be found in http://www.yunhaiwang.net/infoVis2019/scatterplot/index.html