A package for obtaining the effective time-averaged Lindbladian.

A toolkit for the quantum and classical Dicke model in Julia.

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

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

Differentiable acoustic ray tracers

Hypothesis tests of calibration.

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Nonlinear diffusion problems in Julia

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Slice sampling algorithms in Julia

A dynamically-structured matrix population model

Julia Package for Active Inference

Bayesian Safety Signal Detection in Julia

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

A powerful, no code solution for control and systems engineering

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

A repository for adaptive transport maps

Sampling library for Baytes modules

Simulating zonal flows on the β-plane.

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Dynamical systems identification

Advanced process control for AutomationLabs

This package models the dynamics of a biofilm using the Julia programming language.

A Julia package for building, and running Biochemical Systems Theory (BST) models

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Differential Inequality Algorithms for Parametric ODEs

A Julia package containing GNC algorithms for autonomous aerospace systems

Models of gas-phase atmospheric chemistry and related processes

Simulation engine for Heta-based models

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

A Julia package to solve multi-state system models, often found in reliability engineering.

Linear periodic time-varying systems tools in Julia

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Phylogenetic Estimation of Shifts in the Tempo of Origination

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Tools for Visualization of Quantum Annealing

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Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database