Explore projects

Workshop material of the 5-day session "Interactive high performance computing with JupyterLab" at the comprehensive school of High Performance Computing (HPC) in Buenos Aires, 13-17. March 2023.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Mapping of ozone data with machine learning methods.

Course material for the course "Programming in C++", 9 --13 May 2022, organized by the Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany.

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Jupyter notebooks to demonstrate the use of wavelets for image processing & feature detection

Root count challenge

Benchmark data set for mapping from meta data to air quality metrics

Course material repository for the PRACE course "High Performance Scientific Computing in C++", 21 - 24 June 2021.

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a