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Tools for Floquet real-time renormalization group

deployment of a Random Forest Classier Model in Exoplayer using Weka API.

This project includes code, data and the final thesis from Jonathan Kock's Bachelor Thesis. Simulations were performed with computing resources granted by RWTH Aachen University under project thes1026.

OPTIS is a standalone Python based web application which aims to minimize time requirements of busines processes. It's customized to work on a single business process, for which the user can get custom recommendations. To do that the OPTIS app uses a neural network trained with RL-techniques. The network can recommend the optimal next activity for any active case the user has in their event log.

To run the Docker image:

docker pull registry.git-ce.rwth-aachen.de/optis/optis_app

docker run -p 5000:5000 -d registry.git-ce.rwth-aachen.de/optis/optis_app