We have hosted the application diffeqbayes jl in order to run this application in our online workstations with Wine or directly.


Quick description about 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.

Features:
  • Tutorials and Documentation
  • Examples available
  • Estimate the parameters to differential equations
  • Perform Bayesian probabilistic scientific machine learning
  • Use save_idxs to declare observables


Programming Language: Julia.
Categories:
Data Visualization

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