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Simulation module
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Samples and documentation for the "Getting started with Deep Learning on Supercomputers" tutorial.
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Reporting module
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Visualization module
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Framework for simulating pedestrians with state of the art models.
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ParaViewWeb RemoteRenderer in Jupyter
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The tutorial has been moved to: https://gitlab.version.fz-juelich.de/hpc4ns/dl_on_supercomputers
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Wiki for material and resources, Deep Learning for COVID XRay detection
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A library of Python utilities developed at the Simulation and Data Laboratory Neuroscience, and the High Performance Computing in Neuroscience (HPCNS) division of the Jülich Supercomputing Center.
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High-level Fortran and C wrappers for D.E.Shaw Research's random123
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method to define and switch between multiple desktop profiles
