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davidstutz/README.md

I'm a research scientist at DeepMind doing research on robust and reliable deep learning. Before, I did a PhD at the Max Planck Institute for Informatics. Here on GitHub you can find research projects as well as open source software developed in my spare time.

Support my open source projects by donating: PayPal

Pinned

  1. google-deepmind/uncertain_ground_truth google-deepmind/uncertain_ground_truth Public

    Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…

    Python 323 19

  2. google-deepmind/conformal_training google-deepmind/conformal_training Public

    This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

    Python 113 7

  3. mesh-voxelization mesh-voxelization Public

    C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.

    C++ 346 50

  4. latex-resources latex-resources Public

    Collection of LaTeX resources and examples.

    TeX 505 129

  5. bootstrap-multiselect bootstrap-multiselect Public

    JQuery multiselect plugin based on Twitter Bootstrap.

    HTML 3.7k 2k

  6. superpixel-benchmark superpixel-benchmark Public

    An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

    C++ 382 108