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a tool to enable fast and flexible Machine Learning on Air data time series

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

Root count challenge

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

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

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

Training course - Interactive High-Performance Computing with Jupyter

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