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

A curated list of resources about generative flow networks (GFlowNets).

MATLAB toolbox for Mixed Effect Model InfeRence

Generative Flow Networks

Simulation-based inference toolkit

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

distributed, likelihood-free inference

A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia translates a model from SBML/PEtab format into Julia for Mathematical Programming (JuMP), performs the…

Repository for development of the model selection extension

Relax! Flux is the ML library that doesn't make you tensor

21st century AD

Code for the epidemiological analysis of KoCo19 round 2

An uroboros program with 100+ programming languages

Python package for working with PEtab files

Code for the pyABC dynamic look-ahead scheduling study

Laboratory and epidemiological analysis for the initial examination of KoCo19

Just Another Beautiful progress BAR

Tool to convert an ODE model specified in the YAML format to SBML.

🤖 A Python library for learning and evaluating knowledge graph embeddings

Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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

PEtab validation web service

PEtab test suite

Convert latex to svg

A study of the use of noise models in ABC

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

Software zum automatischen Erstellen von Messdienerplänen.