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.

Workflow engine for exploration of simulation models using high throughput computing

Probabilistic Inference on Noisy Time Series

MADS: Model Analysis & Decision Support

distributed, likelihood-free inference

Simulation-based inference in PyTorch

A library for using direct collocation in the optimization of dynamic systems.

a modeling environment tailored to parameter estimation in dynamical systems

Framework for dynamical system identification of floating-base rigid body tree structures

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

FMI-compliant Model Estimation in Python

python Parameter EStimation TOolbox

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

An information-theoretic pipeline for methylation analysis of WGBS data

PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology

A python package for Bayesian inference of gravitational-wave data

A python-package for handling well based field campaigns.

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)

A Python toolbox for COPASI

Induction motor parameter estimation tool

X-PSI: A prototype package for X-ray Pulsation Simulation and Inference

Parameter estimation of ODE models describing biological processes

Parameter estimation for dynamical models using high-performance computing, different optimizers, and dynamic load balancing.

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

Parameter estimation and model calibration using Genetic Algorithm optimization in Python.

A Python Toolbox for COPASI

Measuring the viewing angle of GW170817 with electromagnetic and gravitational waves

Classic problems in chemical engineering solved with matlab

Generative Models