A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

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

Geometry optimization for molecular simulation

Nonlinear diffusion problems in Julia

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.

Differentiable acoustic ray tracers

Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF

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

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

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Reliability-based optimization

Julia Package for Active Inference

Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Nonlocal Electrostatics in Structured Solvents

Predefined environments and controllers for FlightSims.jl

The lightweight base package for numerical simulation supporting nested dynamical systems and macro-based data logger. For more functionality, see FlightSims.jl.

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

Numerical bifurcation analysis for delay differential equations

A dynamically-structured matrix population model

A repository for adaptive transport maps

Bayesian Safety Signal Detection in Julia

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

A powerful, no code solution for control and systems engineering

Example problems for GeometricIntegrators.jl

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

Computation of homoclinic (heteroclinic) orbits.

Simulating zonal flows on the β-plane.

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Operators based on automatic differentiation in Julia

Dynamical systems identification

Advanced process control for AutomationLabs

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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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Defines the minimal interface for Comrade so people can add their own models

High Frequency radar data interpolation with DIVAnd

Differential Inequality Algorithms for Parametric ODEs