nicolasyounes Goto Github PK
Name: Nicolas Younes
Type: User
Bio: Remote sensing scientist at the Australian National Univeristy
Location: Australia
Name: Nicolas Younes
Type: User
Bio: Remote sensing scientist at the Australian National Univeristy
Location: Australia
Course materials for the 2018 version of the Automating GIS processes -course at the University of Helsinki, Finland
52 Things You Should Know About Geocomputing
5-day course on Geostatistics, Data Analytics and Machine Learning
Examples code showing different applications of the AGDC v2
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
A curated list of Google Earth Engine resources
Code to create linear and beta regression models of spectral indices
Lesson materials for "Introduction to Python GIS" -course held at CSC Finland.
Dask tutorial
Materials for "Parallelizing Scientific Python with Dask"
2 Day short course on spatial stat analytics, geostatistics and machine learning.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
a demo repo to test the ea envt in binder
A collection of 300+ examples for using Earth Engine and the geemap Python package
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
ENGN3903 - Environmental Sensing, Mapping and Modelling
These are the R markdown files used to generate
Draft of the fastai book
Processes to produce data and maps/layers of foliar moisture content (FMC) of native vegetation in New South Wales based on Sentinel-2 reflectance data, using an emulator (random forest) of a radiative transfer model
A containerised platform for Geographic Data Science
Geospatial Engineering and Remote Sensing Lab
Google Earth Engine tutorials
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Scientific Computing
Python tools for geographic data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.