Explore projects
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Extension of text_explainability for sensitivity testing (robustness & fairness).
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A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!
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BSC project done by Joep Robben on "Deep learning steerable projections using a supervised modular neural network", Supervised by Michael Behrisch
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A generic explainability architecture for explaining text machine learning models.
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2023-01 Project by Oscar Fickel and supervised by Peter Vangorp
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This is a mirror of https://github.com/tomsmeding/ad-dualrev-th/tree/artifact on UU-owned storage. This is the artifact for https://dl.acm.org/doi/10.1145/3571247 .
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This is a mirror of https://github.com/tomsmeding/efficient-chad-agda on UU-owned storage. This is the artifact for https://arxiv.org/abs/2307.05738 , submitted to POPL 2024.
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This is a repository that contains my solutions for Advent of Code 2021. This year, I will write everything in Python 3.
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(Very messy) codebase for my Master's thesis project on semi-supervised point cloud classification using label diffusion lidar segmentation
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