Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

Simulation, Bayesian inference and Bayesian model selection for chemical kinetics in Julia

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Differentiable Reacting Flow Modeling Software

Combustion Analysis Package

Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

A collection of tools for chemometrics and machine learning written in Julia.

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A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data

This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

Visualisation, output and fitting of the DAMM model

Nonlinear regression in Julia