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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

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.

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

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

Mapping of ozone data with machine learning methods.

Houses the code base for OpenGPT-X, based on BigScience.