A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.

Finite State Projection algorithms for chemical reaction networks

Solar System ephemeris Taylor integrator based on JPL DE430/431 dynamical model

Tools for working with color schemes, color maps, gradients

Physics-Enhanced Regression for Initial Value Problems

General Relativistic Orbital Dynamics in Julia

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MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Bayesian inference on wiring diagrams.

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Jet reconstruction (reclustering) with Julia

A Julia extension package to Wavelets.jl

FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.

Methods for profile likelihood analysis.

PointNeighbors.jl: Neighborhood search with fixed search radius in Julia

Utilities for characterizing sources in astronomical images.

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A simulator for ecological dynamics written in Julia.

DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

From Semiconductor to TransistorLevel Modeling in Julia

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.

Relational piecewise-linear overapproximations of multi-dimensional functions

Core methods and structures for neuroscience research in Julia.

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

Diffusion MRI Simulation Toolbox in Julia

Low Inertia Transient Simulation Toolbox for Power Systems

Working efficiently with datasets where observations have associated uncertainties.

High Oscillatory Ordinary Differential Equation Solver in Julia

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Reduced-space optimization, for optimal power flow.

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Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

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Simulators for kite power systems

Image processing based on image phase information.

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.

The core AbstractStrideArray type, separated from StrideArrays.jl to avoid circular dependencies.