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.

Simulation-based inference toolkit

A Python library for amortized Bayesian workflows using generative neural networks.

Probabilistic Inference on Noisy Time Series

python Parameter EStimation TOolbox

A system for scientific simulation-based inference at scale.

Workflow engine for exploration of simulation models using high throughput computing

System Identification toolbox, compatible with ControlSystems.jl

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

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Advanced Multilanguage Interface to CVODES and IDAS

MADS: Model Analysis & Decision Support

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.

A library for using direct collocation in the optimization of dynamic 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

a modeling environment tailored to parameter estimation in dynamical systems

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