SciML / ModelingToolkit.jl
An acausal 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
- Repository stars
- 1,699All-time #29,201
- Fork
- 273
- Last push
- updated 1 days ago
- Repository created
- since 2018
About
An acausal 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 equationsSummarised by AI from the README; the original prevails
Author description: An acausal 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
Basic listing based on official public information; functionality has not been independently evaluated.
Check before adopting
- No license declared: commercial use and redistribution terms are unknown.
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
