github.com/SciML/ModelingToolkit.jl (go): 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
Keywords: 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