SciML/DiffEqBayes.jl

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Juliajuliaodeddeprobabilistic-programmingdifferential-equationsbayesian-inferencestanordinary-differential-equationssdedaestochastic-differential-equationsneural-odescientific-machine-learningneural-differential-equationsscientific-mlscientific-aisciml
This is stars and forks stats for /SciML/DiffEqBayes.jl repository. As of 08 May, 2024 this repository has 119 stars and 28 forks.

DiffEqBayes.jl 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. To begin you first need to add this repository using the following command. Pkg.add("DiffEqBayes") using DiffEqBayes Tutorials and Documentation For...
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