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
Dec 18, 2024 - Julia