Improved env command which understands modules. Used for the modular supercomputing software stack.
Explainable machine learning on the AQ-Bench dataset
Workshop - Interactive High-Performance Computing with Jupyter
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
TSVC benchmark suite for SVE vectorization.
Goal of the project is to provide several algorithms to smooth the trajectories of persons
a) to correct data uncertainty
b) to remove swaying of heads and get paths of the real main direction of movement