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using jupyter notebooks and nbgrader to partially automate exercise grading for the course geoengineering, and the design of a proposal for a final exam for the course geoengineering

WurksNotebooksFinal

Reinforcement Learning agent that uses sarsa q learning algorithm to learn how to optimize greenhouse management.

Source-code for the training of the deep-learning algorithms (yolov5 and efficientnet)

Main aim is to provide tools for tracing flooding events in the Netherlands. The emphasis is on water damage caused by large amounts of rain.

Contains Instructions how to set up iRODS for sysadmins and training material for different user goups.

Demo given Jan. 14th 2019 at Plant and Animal Genome conference in San Diego