Explainable machine learning on the AQ-Bench dataset
Workshop - Interactive High-Performance Computing with Jupyter
Jupyter notebooks to demonstrate the use of wavelets for image processing & feature detection
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Microarchitectural benchmarks for optimizing compute throughput
Main TVB codebase
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