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Training course - Interactive High-Performance Computing with Jupyter

Approching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

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

Different helper routines for DALL-E reproduction project

Workshop - Interactive High-Performance Computing with Jupyter

Correction of HRES 24h precipitation forecast using H-SAF to be used as forecing in ParFlow/CLM integrated hydrological model.

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Collection of course material for the "High Performance Computing for neuroscience: Hands-on introduction to supercomputing usage, tools and applications" workshop.