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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

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Topics

#acausal #computer-algebra #dae #dde #delay-differential-equations #differential-equations #equation-based #julia #nonlinear-programming #ode #optimization #ordinary-differential-equations #pde #scientific-machine-learning #sciml #sde #stochastic-differential-equations #symbolic #symbolic-computation #symbolic-numerics

Metadata

Language
Julia
License
NOASSERTION
Default branch
master
Created
2018-02-27
First commit
2018-02-27
Last pushed
2026-09-09
GitHub updated
2026-09-09
Last synced
2026-09-10 03:08
Stack scanned
2026-09-10 03:08
Archived
No

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