JingyanLI's repositories
ComputerVision2021
2021 Computer Vision
Fitness-Compass
Compass app in Android
TCN-CropClassification
Crop Type classification by Temporal Convolutional Network
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
IML2022-SailorMoon
IML 2022 Course Project @ ETHZ
Vege_Height_Regression
Image Interpretation Lab 2 Regression
geoplotlib
python toolbox for visualizing geographical data and making maps
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
jingyan-li.github.io
my personal website
matsim-episim-libs
Epidemic simulation for MATSim
MeTS-10
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
nlp_lss_2023
repo for "Natural Language Processing for Law and Social Science" @ ETH Zurich, Spring 2022
opencv_contrib
Repository for OpenCV's extra modules
post--building-blocks
The Building Blocks of Interpretability
Robust-Manifold-Denoising-
This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an affinity graph and perform denoising on a set of N input points in R^n. Given an input set of points in any arbitrary dimension, an affinity graph is first created based on Tensor Voting, Local PCA or Euclidean distances, or the Tensor Voting Graph [3] . Then it performs denoising using a modified version of the recently proposed MFD algorithm[1]. The MFD algorithm uses the Spectral Graph Wavelet (SGW) transform in order to perform denoising directly in the spectral graph wavelet domain. Main function - Main_Demo provides an example of running our algorithm
TrafficForecastUnetInterpret-Python
Understanding the UNet for Traffic Forecasting Task - A Visual Analytics Approach
vuepress-homepage
:page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress