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Samples and documentation for the "Getting started with Deep Learning on Supercomputers" tutorial.

AMBS stands for Atmospheric Machine learning Benchmarking System

How to create a custom container-based environment with jupyter that works at home an @jsc

Simulation module

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Reporting module

Visualization module

ParaViewWeb RemoteRenderer in Jupyter

AI4HPC, part of CoE RAISE, is an open-source library to train AI models with CFD datasets on HPC systems.

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

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.

Accelerating hyperparameter tuning for Remote Sensing by switching the batch size during training