A Julia package for constrained trajectory optimization using direct methods.

Differential equations on manifolds

Unitary and Lindbladian evolution in Julia

Quantum Optimal Control with Direct Collocation

Learning state-space targets in dynamical systems

A unified interface for simulating and evaluating sequential sampling models in Julia.

A component library based on ModelingToolkit

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

Fast operator-overloading Jacobian & Hessian sparsity detection.

Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.

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

Accelerate your ML research using pre-built Deep Learning Models with Lux

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

ClimaCoupler: bringing atmosphere, land, and ocean together

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

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

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

A tool to solve optimal control problem

Signal logging and scoping for DifferentialEquations.jl simulations.

Julia MathML parser

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

Flux reconstruction method for advection-diffusion type physics

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

One stop solutions for all things optimization

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

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

A package designed for simulating biological dynamics and control.

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

Piecewise Deterministic Markov Processes in Julia

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

The Julia implementation of the generalised hierarchical Gaussian filter

A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method

Throw stuff

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

Deprecated package (use instead Modia.jl)