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Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a
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Wiki for material and resources, Deep Learning for COVID XRay detection
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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sdlbio-courses / programming-in-cxx-2024
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Software-engineering aspects of composed Earth System Models ---Performance analysis and GPU programming (CUDA, OpenACC, OpenMP, kokkos) ---
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Portable "minimal" Emacs configuration. Works on Linux and Mac.
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JuPedSim / JPSfire
OtherFramework for the Pre-processing of fire simulation results for JPScore
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