System Identification toolbox, compatible with ControlSystems.jl
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Updated
May 14, 2024 - Julia
System Identification toolbox, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Fast and automatic structural identifiability software for ODE systems
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses
Methods for profile likelihood analysis.
Julia package for neural estimation
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
Julia package for KF and EKF parameter estimation using Automatic Differentiation
Julia package for estimating parameters, fitting data, and generating profile likelihood plots.
Geostatistical Inversion
A package for performing Metropolis Hasting Algorithm.
Suite of Julia packages solving the GDE for aerosol: measurement simulation and parameter estimation
Julia interface to BioMASS
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