Explore projects

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

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch

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

Project 2 for Pattern Recognition about colorization of images using Neural Networks.

Project by Tingting Zhang and supervised by Michael Behrisch.

A 2k parallel kernel for the cluster editing problem

Project by Oscar Alexander Kirschstein Schäfer

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

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

Functional association via interaction prediction for pVOGs

This project is maintained by Dylan Kruyff, Yuncong Yu and Michael Behrisch,

Fast local pattern search in multivariate time series with query-aware locality-sensitive hashing and relevance feedback.

Repo for my thesis where I apply outlier detection techniques with energy grid data

Using Graph Embeddings for Matrix Reordering