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symbolic-computation

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A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

  • Updated Jul 31, 2020
  • Julia
Abacus

GMac, short for “Geometric Macro“, is a sophisticated .NET based code generation software system that allows implementing geometric models and algorithms based on Geometric Algebra (GA) in arbitrary target programming languages. You can download the full GMac source code at: https://github.com/ga-explorer/GMac and you can read the full GMac user guides at: https://gmac-guides.netlify.com

  • Updated Apr 18, 2020
  • C#

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