Simulation-based inference toolkit

Applying amortizing neural posterior estimation for non-linear mixed effects models

distributed, likelihood-free inference

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

Create recurring random groups that are chosen to minimize some criterion.

python Parameter EStimation TOolbox

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