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maximilian-kruse/README.md

๐Ÿš€ Simulation Scientist at Zeiss Semiconductor Manufacturing Technology.

๐Ÿ“Š Classical Numerics, data-driven methods, inverse problems, high-performance computing.

๐Ÿซ€ Open source work on large-scale inverse problems in Cardiac Electrophysiology.

๐Ÿ Python-based, nostalgia for C++, Julia fan, believing in Rust.

๐Ÿค” AI is cool, but let's not forget everything we have learned over the last centuries.

๐Ÿ–ฅ๏ธ Software is value, let other people enjoy your work!

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  1. Cardiac-Electrophysiology Cardiac-Electrophysiology Public

    Non-parameteric Bayesian Inference of Myocardial Fiber Orientations from Electrical Activation Data

    Jupyter Notebook

  2. Eikonax Eikonax Public

    A Fully Differentiable Solver for the Anisotropic Eikonal Equation

    Python 4

  3. LS-Prior LS-Prior Public

    Large-Scale Prior Fields via SPDEs

    Python 2

  4. SPIN SPIN Public

    Non-parametric Bayesian Inference for Stochastic Processes

    Python

  5. UQatKIT/MTMLDA UQatKIT/MTMLDA Public

    Parallelized MLDA Sampler based on Prefetching

    Python 3

  6. UQatKIT/LS-MCMC UQatKIT/LS-MCMC Public

    A light-weight library for large-scale Markov Chain Monte Carlo sampling

    Python 1