Explore projects

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 - In-Situ Visualization on High-Performance-Computers

Training course - Interactive High-Performance Computing with Jupyter

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