sbi reloaded
sbi reloaded: a toolkit for simulation-based inference workflows - Published in JOSS (2025)
Chi
Chi: A Python package for treatment response modelling - Published in JOSS (2024)
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
galibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
swissfit
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
sprfittingpaper2023.jl
Library for estimating biophysical properties of antibody-antigen interactions via a spatial, particle model.
MRN-AI-Plate-Parameter-Estimation
Machine Learning for Solving the Inverse Problem of Estimating Plate Properties from Modal Responses
madys
MADYS: isochronal parameter determination for young stellar and substellar objects
petab
PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology