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

JuliaTeXcomputer-algebraoptimizationjuliaodesymbolicddedifferential-equationsordinary-differential-equationssdepdedaestochastic-differential-equationsdelay-differential-equationssymbolic-computationnonlinear-programmingequation-basedscientific-machine-learningscimlsymbolic-numericsacausal
This is stars and forks stats for /SciML/ModelingToolkit.jl repository. As of 26 Apr, 2024 this repository has 1262 stars and 171 forks.

ModelingToolkit.jl ModelingToolkit.jl is a modeling framework for high-performance symbolic-numeric computation in scientific computing and scientific machine learning. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. ModelingToolkit can automatically generate fast functions for model components like Jacobians and Hessians, along with automatically sparsifying and parallelizing the computations. Automatic transformations,...
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