Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

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

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

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

The Julia implementation of the generalised hierarchical Gaussian filter

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

A Julia implementation of PRONTO

Finite State Projection algorithms for chemical reaction networks

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From Semiconductor to TransistorLevel Modeling in Julia

Simulators for kite power systems

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.

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Dynamical models used within astrodynamics and orbital mechanics!

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

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

Some convenient hacks when using Nonconvex.jl.

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

Differentiable JUlia ICE model

Interface between ControlSystems and ModelingToolkit

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

Julia implementation of the bond graph framework

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

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Symbolics-based function property propagation for optimization

Drift diffusion simulator for semiconductor devices

EHT Image domain analysis through template matching.

Exact reduction of ODE models via linear transformations

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

Building and using pyramids for large raster data

Common types and interface for discretizers of ModelingToolkit PDESystems.

Lightweight module of neural differential equations in Kinetic.jl

A Julia package for behavioural modeling

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

Develop tools for ensemble Kalman filter

Differentiable constraint-based metabolic models

Optimal experimental design of ODE and DAE systems in julia