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1. ExplainingAnatomicalShapeVariability ExplainingAnatomicalShapeVariability Public

   This work showcases a variational graph autoencoder disentanglement using 3D mesh data.

   HTML 2 1

2. ClassificationForAdditiveManufacturing ClassificationForAdditiveManufacturing Public

   The overall goal of this project is about developing an algorithm using deep learning, which is capable of predicting whether a 3D-model is printable or not.

   Jupyter Notebook 2

3. UnsupervisedAnomalyDetection UnsupervisedAnomalyDetection Public

   This work showcases a holistic approach how to perform anomaly detection for rail traffic data of Finland. Therein, a so-called Isolation Forest is trained in order to detect abnormal data samples.

   Jupyter Notebook 1

4. DistributedDynamicProgrammingOpenMPI DistributedDynamicProgrammingOpenMPI Public

   In this project, an asynchronous value iteration using OpenMPI is presented. Different strategies are implemented and benchmarked subsequently.

   C++ 1

5. ConsumerProducerModel ConsumerProducerModel Public

   This project uses C++ multithreading (producer-consumer model) in order to draw the well known Barnsley fern.

   C++

6. COVID-19_and_CO2 COVID-19_and_CO2 Public

   This project aims for investigating the impact of COVID-19 on the climate change using different machine learning / deep learning approaches.

   Jupyter Notebook