sbi reloaded
sbi reloaded: a toolkit for simulation-based inference workflows - Published in JOSS (2025)
opty
opty: Software for trajectory optimization and parameter identification using direct collocation - Published in JOSS (2018)
swyft
swyft: Truncated Marginal Neural Ratio Estimation in Python - Published in JOSS (2022)
X-PSI
X-PSI: A Python package for neutron star X-ray pulse simulation and inference - Published in JOSS (2023)
Chi
Chi: A Python package for treatment response modelling - Published in JOSS (2024)
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data - Published in JOSS (2025)
amici
High-performance sensitivity analysis for large ordinary differential equation models
parpe
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
acces-coexsist
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
casadi
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.
lim-sample
Implementation of SAMPLE (Spectral Analysis for Modal Parameter Linear Estimate)
DiffEqParamEstim
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
galibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
TIMP
TIMP is an R package for fitting superposition models that implements the partitioned variable projection algorithm. The package has been extensively applied to modeling spectroscopy and Fluorescence Lifetime Imaging Microscopy (FLIM) datasets. This is the git managed codebase of the r-forge TIMP project.
https://github.com/baggepinnen/lowlevelparticlefilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
https://github.com/baggepinnen/controlsystemidentification.jl
System Identification toolbox, compatible with ControlSystems.jl
https://github.com/danielvandh/profilelikelihood.jl
Methods for profile likelihood analysis.
swissfit
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
https://github.com/clima/parameterestimocean.jl
🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses
sprfittingpaper2023.jl
Library for estimating biophysical properties of antibody-antigen interactions via a spatial, particle model.
paramgui
paramGUI is a Shiny based R-package for teaching parameter estimation examples inspired by time-resolved spectroscopy
madys
MADYS: isochronal parameter determination for young stellar and substellar objects
MRN-AI-Plate-Parameter-Estimation
Machine Learning for Solving the Inverse Problem of Estimating Plate Properties from Modal Responses
petab
PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology
https://github.com/aau-dat/p9-bw-add
This is the 9th semester project for implementing the Baum-Welch (BW) algorithm using Algebraic Decision Diagrams (ADD).