Name: Lincan Li (Kelsey)
Type: User
Company: University of New South Wales
Bio: I'm currently a PhD student 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
Blog: https://lincanli98.github.io/
Lincan Li (Kelsey)'s Projects
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Java Solutions to problems on LintCode/LeetCode
Code for 'Loss Tolerant Federated Learning'.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LaTeX2e Template designed for MCM/ICM
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
MICCAI 2019 Open Source Papers
NYC-Taxi and NYC Bike
Minimal and clean examples of machine learning algorithms implementations
TensorFlow (Python API) implementation of Neural Style
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
Deep Learning for Indoor Localization
Matlab code for machine learning algorithms in book PRML
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
a simple demo for Quadrotor UAV target tracking
A collection of research on spatio-temporal data mining
MATLAB implementation of two popular navigation algorithms: A-star and Real-Time Randomized Path Planning
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
My research interests related papers, including Spatio-Temporal Forecasting, GCN, GAN and other state-of-the-art methods.
Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This is the code for "Stock Market Prediction" by Siraj Raval on Youtube
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting