Pinned Repositories
agentmodel
APMtools
R package for statistical methods of air pollution mapping
Bayes_for_Regression
Sample educational/experimental code
bfast
messy codes
globalLUR
tools for LUR project
mobiair
OpenGeoHub2020
course materials for OpenGeoHub2020
SA_lab
lab exercises for the spatial data analysis course at UBT in WS2021
scalable-spatial-temporal-BFAST
uncertainty
uncertainty assessment
mengluchu's Repositories
mengluchu/globalLUR
tools for LUR project
mengluchu/OpenGeoHub2020
course materials for OpenGeoHub2020
mengluchu/mobiair
mengluchu/agentmodel
mengluchu/APMtools
R package for statistical methods of air pollution mapping
mengluchu/SA_lab
lab exercises for the spatial data analysis course at UBT in WS2021
mengluchu/uncertainty
uncertainty assessment
mengluchu/albumentations
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
mengluchu/catalyst
Accelerated deep learning R&D
mengluchu/EGU2021
materials for EGU2021
mengluchu/exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
mengluchu/gcn
Implementation of Graph Convolutional Networks in TensorFlow
mengluchu/geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
mengluchu/geomoph_scripts
scripts for water, costal geomophological classification
mengluchu/Geomorphology_ISPRS_paper
mengluchu/geospatial-data-download-sites
This is the repo for open source geospatial data download sites.
mengluchu/global-mapping
map no2 globally, a step forward from modelling
mengluchu/Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
mengluchu/Machine-Learning-Collection
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
mengluchu/mobiairpaper
technical paper
mengluchu/mobileAP
study of sampling using modeled no2 from ggogle carview, ams, from Joel
mengluchu/NO2-Carrier-Bicycle
mengluchu/NO2-global-map_paper
mengluchu/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
mengluchu/probai-2022
Materials of the Nordic Probabilistic AI School 2022.
mengluchu/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
mengluchu/r-inla
mengluchu/Uncertainty_paper
paper
mengluchu/uu_ml
Machine Learning for Utrecht University
mengluchu/waaden
DL and ML with OBIA for geomorphological classification