Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Build and simulate jump equations like Gillespie simulations and jump di...
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl...
A framework for developing multi-scale arrays for use in scientific mach...
Easy scientific machine learning (SciML) parameter estimation with pre-b...