Reporting module

Simulation module

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

Framework for simulating pedestrians with state of the art models.

The tutorial has been moved to: https://gitlab.version.fz-juelich.de/hpc4ns/dl_on_supercomputers

High-level Fortran and C wrappers for D.E.Shaw Research's random123

Portable "minimal" Emacs configuration. Works on Linux and Mac.

Framework for the Pre-processing of fire simulation results for JPScore

Hello World for CUDA

http://chraibi1.pages.jsc.fz-juelich.de/pages

Machine Learning meets Pedestrian Dynamics: Collection of resources

Sparse Matrix Generator with Given Spectrum

Homepage: https://smg2s.github.io

method to define and switch between multiple desktop profiles