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.
python Parameter EStimation TOolbox
Probabilistic Inference on Noisy Time Series
High-performance sensitivity analysis for large ordinary differential equation models
A library for using direct collocation in the optimization of dynamic systems.
Framework for dynamics parameter identification of fixed and floating-base rigid body tree structures
FMI-compliant Model Estimation in Python
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.
Black-box Bayesian inference for agent-based models
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
A Python Framework for Modeling and Analysis of Signaling Systems
Induction motor parameter estimation tool
This is a disciplined Python implementation of the Recursive Least Squares Method
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
Differentiable Scattering Delay Networks (DAFx25)
Python package for working with PEtab files
A simulation-based Inference (SBI) library designed to perform analysis on a wide class of gravitational wave signals
Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).
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