HeAT

The SimLab Neuroscience contributes to the development of the Helmholtz Analytics Toolkit (HeAT), a flexible and seamless open-source software for high performance data analytics and machine learning.

HeAT is developed together with use cases from a wide range of scientific fields, including neuroscience. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI. HeAT's generic Python-first programming interface integrates seamlessly with the existing data science ecosystem and makes it as effortless as using NumPy to write scalable scientific and data science applications.

https://github.com/helmholtz-analytics/heat

SimLab Contact for the Project

Dr. Kai Krajsek