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PRACE Workshop - Interactive High-Performance Computing with Jupyter

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a

Wiki for material and resources, Deep Learning for COVID XRay detection

Visualization module

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

Simulation module

Different helpful utilities and scripts

fork of https://github.com/easybuilders/JSC with some incompatible JUAWEI/AArch64 specific changes

Framework for simulating pedestrians with state of the art models.

Sparse Matrix Generator with Given Spectrum

Homepage: https://smg2s.github.io