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OskarElek authored Oct 28, 2023
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# PolyPhy
*PolyPhy* is an unconventional toolkit for reconstructing continuous networks out of sparse 2D or 3D data. Such data can be defined as collections of discrete points, or a continuous sparse scalar field. *PolyPhy* produces a scalar density field that defines the recovered network structure. With the help of GPU-accelerated simulation and visualization, *PolyPhy* provides domain experts an interactive way to reconstruct discrete geometric data with an underlying network structure. The reconstruction is driven by the *Monte Carlo Physarum Machine* algorithm, a metaheuristic inspired by the morphology and dynamics of Physarum polycephalum aka 'slime mold'.
*PolyPhy* is an unconventional toolkit for reconstructing continuous networks out of sparse 2D or 3D data. Such data can be defined as collections of discrete points, or a continuous sparse scalar field. *PolyPhy* produces a scalar density field that defines the recovered network structure. With the help of GPU-accelerated simulation and visualization, *PolyPhy* provides domain experts an interactive way to reconstruct discrete geometric data with an underlying network structure. The reconstruction is driven by the *Monte Carlo Physarum Machine* algorithm, a metaheuristic inspired by the morphology and dynamics of Physarum polycephalum aka 'slime mold'.

## Related Resources
- *PolyPhy* is a successor of [Polyphorm](https://github.com/CreativeCodingLab/Polyphorm)
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