Name: Lincan Li (Kelsey)
Type: User
Company: University of New South Wales
Bio: I'm currently a researcher in UNSW, School of CSE, starting at Jan 2024. I'm a Master Graduate at Zhejiang University, School of CSE, at the State Key Lab.
Location: Sydney, Australia
Lincan Li (Kelsey)'s Projects
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Evolutionary game simulator for an Advanced Metering Infrastructure
🔥🔥Official Repository for Anti-UAV🔥🔥
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Awesome Data-Driven Autonomous Driving Solutions. Also the official repository of our survey paper: Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
Traffic data processing tools in LibCity
here is the introduce of bls
Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点,当前100+站点
Python port of João F. Henriques circulant matrix tracker
A sample code of data augmentation methods for wearable sensor data (time-series data)
Preprocess data for traffic data.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Attempting to make the Deep Learning Book easier to understand.
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
2020 招商银行FinTech 数据赛道 rank10
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
GE-GAN: A novel deep learning framework for road traffic state estimation
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
基于go-wire进行依赖注入重构的Golang Web骨架,方便进行web应用快速开发
graph wavenet
Research on indoor localization
Codes for Kaggle Competitions
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
1st place solution
Python implementation of DSST tracking algorithm based on KCF tracker.