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Course in Deep Learning at HSLU

Official source code and data produced as part of the Swiss Data Science Center's deepLNAfrica project

Course in Deep Learning at HSLU

Source code for paper: "Self-supervised learning unveils change in urban housing from street images"

Public R package to simplify access to FSO metadata.

For testing things out

testing

Application of the Vegetation Optimality Model in Adelaide River, with a costfactor cpcff=1.0e-6 and freely draining conditions

testing the tutorial

money money money

Template project to join s2s-ai-challenge

Website: https://s2s-ai-challenge.github.io/

Overview: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/wikis/Flow-of-information:-Where-do-I-find-what%3F