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Project by Tingting Zhang and supervised by Michael Behrisch.

Project by Oscar Alexander Kirschstein Schäfer

Project start: 12/2022 Supervised by Michael Behrisch and Yuncong Yu

Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions

A personal privacy assistant (PURE) helps its user make privacy decisions by recommending privacy labels (private or public) for given contents. PURE is unobtrusive, uncertainty-aware, and personalized.

In this repo, you can find how we implement PURE, Standard Neural Networks (SNN), and existing models such as Monte Carlo (MC) dropout and Deep Ensemble.

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch

(Very messy) codebase for my Master's thesis project on semi-supervised point cloud classification using label diffusion lidar segmentation

Code base of my Master's thesis.

A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!

BSC project done by Joep Robben on "Deep learning steerable projections using a supervised modular neural network", Supervised by Michael Behrisch

Using Graph Embeddings for Matrix Reordering

Scrapes Google Images for Kinetikids data Based on https://github.com/ohyicong/Google-Image-Scraper.git