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awesome-data-fusion-for-remote-sensing

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-vector-tiles

awesome implementations of the Mapbox Vector Tile specification

beautiful_osm_in_qgis

QGIS stylesheets and code to render OSM data as a beautiful, scalable map. Designed with osm2pgsql + default.style.

canopyresilienceproject

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

cwss-projects

Jekyll site framework to demonstrate projects run by the Centre for Water and Spatial Science at The University of Western Australia.

deepweeds

A Multiclass Weed Species Image Dataset for Deep Learning

denethor

django-on-docker

Dockerizing Django with Postgres, Gunicorn, and Nginx

electronshine

Create Standalone Installable Shiny Apps

eo-flow

Collection of TensorFlow 2.0 code for Earth Observation applications

field-fruit-count

field360

files

foss4g2022-workshop-maplibre-react

Development of interactive platforms for city modeling and digital twins using React and MapLibre

gdal-cheat-sheet

Cheat sheet for GDAL/OGR command-line tools

gds_env

A containerised platform for Geographic Data Science

gee-labs-1

geocomputing

Examples for doing spatial analysis in CSC computing environment.

gstool-desktop

Clone to try a simple Electron app

imagefusion

A package for the fusion of Remote Sensing imagery

jkan

A lightweight, backend-free open data portal, powered by Jekyll

kaggle_diabetic_ram

Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination

keras-image-segmentation-loss-functions

Binary and multiclass loss functions implemented in Keras

keras-unet

Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided

lulc-validation

Land use and land cover map accuracy assessment with test data from a stratified sample

markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml4floods

An ecosystem of data, models and code pipelines to tackle flooding with ML