A unified interface for simulations of the Bio-Energetic model on food webs

Plot your Ferrite.jl data

Differential equations on manifolds

A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia

A Julia package for constrained trajectory optimization using direct methods.

Quantum Optimal Control with Direct Collocation

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Learning state-space targets in dynamical systems

Unitary and Lindbladian evolution in Julia

A component library based on ModelingToolkit

Base package for the GeoStats.jl framework

Makie topo plot recipes, for neuro-science, geo plots and anyone needing surface plots from unstructured data

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

Three-dimensional panel method for low-speed aerodynamics

Geospatial tables compatible with the GeoStats.jl framework

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

ClimaCoupler: bringing atmosphere, land, and ocean together

Deep Learning made easy and fast

Differential equation problem specifications and scientific machine learning for common financial models

Builds conductance based neural networks iteratively, from ion channels and synapses

Neural network training, fast and easy.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

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Tools for the Simulation and Execution of Quantum Annealing Algorithms

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Signal logging and scoping for DifferentialEquations.jl simulations.

A tool to solve optimal control problem

Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

Julia MathML parser

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.

Flux reconstruction method for advection-diffusion type physics

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

A package designed for simulating biological dynamics and control.

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization

Throw stuff

Piecewise Deterministic Markov Processes in Julia