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Framework for simulating pedestrians with state of the art models.
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Python Django services to extract station characterisation information from global geographic and geophysical datasets
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Course material for the online course "Programming in C++", 26 May 2021 -- 01 June 2021, organized by Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany.
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Run Zhang Master Thesis. Title: "Super-Resolution of Sentinel-2 Images with Generative Adversarial Networks". 2020
Enhancing Resolution of Sentinel 2 Hyperspectral Satellite Images with Super-resolution Generative Adversarial Networks
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The tutorial has been moved to: https://gitlab.version.fz-juelich.de/hpc4ns/dl_on_supercomputers
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Different helpful utilities and scripts
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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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Here is the repository of the on-going project to develop a stand-alone sager with Python to using for I/O, Pre/Post-Processing
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Accelerating hyperparameter tuning for Remote Sensing by switching the batch size during training
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