jingyan-li

ComputerVision2021

2021 Computer Vision

Fitness-Compass

Compass app in Android

TCN-CropClassification

Crop Type classification by Temporal Convolutional Network

understanding-unet

abmt2021

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

Chart.js

Simple HTML5 Charts using the <canvas> tag

cilantro

A lean C++ library for working with point cloud data

deck.gl

WebGL2 powered geospatial visualization layers

geocoder

:earth_asia: Python Geocoder

geoplotlib

python toolbox for visualizing geographical data and making maps

Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

ISC

ETHZ 2019 ISC course

jingyan-li.github.io

my personal website

LBS-App

Android App for Location-Based Service

Leaflet

:leaves: JavaScript library for mobile-friendly interactive maps

macposts

macposts-contrib

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

pgrouting

Repository contains pgRouting library. Development branch is "develop", stable branch is "master"

post--building-blocks

The Building Blocks of Interpretability

pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

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

traffic4cast2020

vuepress-homepage

:page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress