This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
Features
- Tutorials and Documentation
- Examples available
- Estimate the parameters to differential equations
- Perform Bayesian probabilistic scientific machine learning
- Use save_idxs to declare observables
Categories
Data VisualizationLicense
MIT LicenseFollow DiffEqBayes.jl
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