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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 ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
5,572 commits to master branch, last one 13 hours ago
A standard library of components to model the world and beyond
Created
2021-11-02
759 commits to main branch, last one a day ago
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
Created
2023-12-09
149 commits to main branch, last one about a month ago