There are 8 repositories under parameter-estimation topic.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
A Python library for amortized Bayesian workflows using generative neural networks.
Probabilistic Inference on Noisy Time Series
A system for scientific simulation-based inference at scale.
System Identification toolbox, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
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)
Fast and automatic structural identifiability software for ODE systems
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
a modeling environment tailored to parameter estimation in dynamical systems
X-PSI: X-ray Pulse Simulation and Inference
A python-package for handling well based field campaigns.
Semi-Automatic Li Ion battery RC model parameters estimator
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
An information-theoretic pipeline for methylation analysis of WGBS data
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
A Python Framework for Modeling and Analysis of Signaling Systems
A collection of mathematical models with experimental data in the PEtab format as benchmark problems in order to evaluate new and existing methodologies for data-based modelling
A package for parameter estimation, uncertainty / sensitivity analysis for crop models
🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses
Classic problems in chemical engineering solved with matlab
Methods for profile likelihood analysis.