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

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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.

Differential equations on manifolds

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

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

Learning state-space targets in dynamical systems

Quantum Optimal Control with Direct Collocation

A component library based on ModelingToolkit

Unitary and Lindbladian evolution in Julia

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

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

Fast operator-overloading Jacobian & Hessian sparsity detection.

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

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Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

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

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Signal logging and scoping for DifferentialEquations.jl simulations.

A tool to solve optimal control problem

Julia MathML parser

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

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

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

One stop solutions for all things optimization

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

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.

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

Throw stuff

Piecewise Deterministic Markov Processes in Julia

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