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
computer-algebra
optimization
julia
ode
symbolic
dde
differential-equations
ordinary-differential-equations
sde
pde
dae
stochastic-differential-equations
delay-differential-equations
symbolic-computation
nonlinear-programming
equation-based
scientific-machine-learning
sciml
symbolic-numerics
acausal
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Updated
Sep 2, 2024 - Julia