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.

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

[ICCV-2025] TurboReg: TurboClique for Robust and Efficient Point Cloud Registration

python Parameter EStimation TOolbox

Probabilistic Inference on Noisy Time Series

A system for scientific simulation-based inference at scale.

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

Workflow engine for exploration of simulation models using high throughput computing

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

System Identification toolbox, compatible with ControlSystems.jl

High-performance sensitivity analysis for large ordinary differential equation models

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.

Fast and automatic structural identifiability software for ODE systems

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

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)

MADS: Model Analysis & Decision Support

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

a modeling environment tailored to parameter estimation in dynamical systems

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

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

FMI-compliant Model Estimation in Python

Semi-Automatic Li Ion battery RC model parameters estimator

Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)

X-PSI: X-ray Pulse Simulation and Inference

A python-package for handling well based field campaigns.

A curated list of Additive Manufacturing literature, research papers, and presentations that are publicly available and related to Laser Powder Bed Fusion and Metal Binder Jetting processes.

Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

Julia package for simulation-based, likelihood-free parameter inference using neural networks.

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Estimate Crop Models' parameters