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  • Data Observatory
  • Chile

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Achievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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pescap/README.md

Paul Escapil-Inchauspé's GitHub 👋

My research interests include:

  • High Performance Computing;
  • Scientific Machine Learning;
  • Operator Learning;
  • Uncertainty Quantification (UQ);
  • Iterative Solvers;
  • Finite and Boundary Element Methods.

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  1. EasyHPC EasyHPC Public

    A practical introduction to High Performance Computing (HPC)

    9 6

  2. cald cald Public

    Preconditioning for the EFIE

    Jupyter Notebook 1

  3. bempp-uq bempp-uq Public

    A Python library for shape UQ based on Bempp 3.3.4

    Jupyter Notebook