A tool to solve optimal control problem

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

The Julia implementation of the generalised hierarchical Gaussian filter

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

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

A Julia implementation of PRONTO

Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem

Finite State Projection algorithms for chemical reaction networks

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🌾 declarative crop modeling framework

From Semiconductor to TransistorLevel Modeling in Julia

Simulators for kite power systems

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

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

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Dynamical models used within astrodynamics and orbital mechanics!

Some convenient hacks when using Nonconvex.jl.

Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

Differentiable JUlia ICE model

Interface between ControlSystems and ModelingToolkit

The base package for Optimization.jl, containing the structs and basic functions for it.

Julia implementation of the bond graph framework

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Julia package with several functions to train and analyze Autoencoder-based neural networks

Helper files for using `Julia` with MTH229.

EHT Image domain analysis through template matching.

Drift diffusion simulator for semiconductor devices

Symbolics-based function property propagation for optimization

Exact reduction of ODE models via linear transformations

Building and using pyramids for large raster data

Common types and interface for discretizers of ModelingToolkit PDESystems.

A Julia package for behavioural modeling

Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith