Mmastodon SciencePhysics first seen 15 h ago, last 10 h ago, peak #5
Developer open-sources Python ecosystem for hypercomplex number systems
Original: For those working on high-dimensional algebraic computations, physics simulations, or geometric deep learning, I've open
A mathematician has released an open-source two-tier Python ecosystem aimed at researchers handling hypercomplex number systems. The first component, hypercomplex-engine, provides the computational substrate, targeting work in high-dimensional algebraic computations, physics simulations, and geometric deep learning. The release has drawn early attention from the mathematics and computational research community, where interest in tools bridging abstract algebra and applied machine learning is growing.
Why now: Open-source tools for hypercomplex arithmetic are useful to researchers in geometric deep learning and physics simulations, prompting discussion
Evidence
- For those working on high-dimensional algebraic computations, physics simulations, or geometric deep learning, I've open-sourced a two-tier Python ecosystem for hypercomplex number systems: 1. hypercomplex-engine: Focuses on the computational substrate. It generates… · maherben@mathstodon.xyz · 4
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