DiffEqFlux (julia): Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Keywords: neural-sdes|scientific-ai|delay-differential-equations|scientific-ml|differential-equations|partial-differential-equations|differentialequations|neural-networks|neural-ode|neural-sde|neural-pde|neural-dde|neural-differential-equations|stiff-ode|pinn|scientific-machine-learning|neural-jump-diffusions|ordinary-differential-equations|stochastic-differential-equations|physics-informed-learning