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Samples and documentation for the "Getting started with Deep Learning on Supercomputers" tutorial.
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How to create a custom container-based environment with jupyter that works at home an @jsc
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AMBS stands for Atmospheric Machine learning Benchmarking System
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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AI4HPC, part of CoE RAISE, is an open-source library to train AI models with CFD datasets on HPC systems.
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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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