Name: Samantha Wittke
Type: User
Company: CSC - IT Center for Science, Finnish Geospatial Research Institute and Aalto University
Bio: Geoinformatics speciaist Doctoral student: Remote Sensing, GIS, Python, Machine Learning, HPC
Location: Helsinki, Finland
2021-03-17-testing-hackathon
Software testing online mini-hackathon, March 17 and 24, 2021
2023_presentations
Own presentations for different occasions
2024_presentations
aalto_openscience
Slides for "How to do open science in practice? - CSC and Aalto tools and services to support open science"
adventofcode2020
automatic_testing
Automatic_testing for installations and environments
avaa-paituli-frontend
coderefinery.org
Coderefinery project website.
cr_calendar
CodeRefinery calendar (via github pages)
cropyield
Large scale crop yield estimation for crop statistics with Copernicus Sentinels
csc-env-eff
Using CSC HPC environment efficiently training material
csc-intensive-course
AutoGIS for CSC Intensive course
csc-user-guide
CSC User Guides
csc_gis_presentations
deeptemporalclustering
:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model
documentation
Code documentation lesson material.
documentation_example
Repository used for documentation talk at the Best practice guide for software developers and scientists in Extremes DT and Climate DT workshop - June 2023
eo_workshop
EO workshop material May 2022
eodie
Mirror of https://gitlab.com/fgi_nls/public/EODIE ; please refer to the gitlab repository for issues, PRs etc. Version 2.0.0 published: https://doi.org/10.5281/zenodo.7467514
eodie-feedstock
A conda-smithy repository for eodie.
eodie_burn_postprocess
code for burnt area monitoring data postprocessing
geoinfo
All kinds of small scripts for dealing with georeferenced vector and rasterfiles
git_for_researchers
Slides for the short talk on git for researchers for weekly user support session
igarss2019-dl4sits
Machine learning for satellite image time series
installation
CodeRefinery workshop software installation instructions.
introduction-to-conda-for-data-scientists
Introduction to Conda for (Data) Scientists
lumi-self-learning
LUMI Computing Environment self-learning materials
manuals
Diverse operation manuals for CodeRefinery workshops and lesson design.
md_slides
nordic-rse.github.io
The community of Research Software Engineers in Nordic countries.
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
