Explore projects

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

This gitlab-repository provides the training material of the two MAELSTROM Boot Camps.

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

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

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

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

Different helper routines for DALL-E reproduction project

Root count challenge