Julia MathML parser

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

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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

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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

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

A computational graph for time-series processing.

Simulators for kite power systems

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

Dynamical models used within astrodynamics and orbital mechanics!

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

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

Some convenient hacks when using Nonconvex.jl.

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

Interface between ControlSystems and ModelingToolkit

Differentiable JUlia ICE model

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

Julia implementation of the bond graph framework

A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

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

Drift diffusion simulator for semiconductor devices

Tools for general Tight Binding systems

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

Exact reduction of ODE models via linear transformations

Symbolics-based function property propagation for optimization

EHT Image domain analysis through template matching.

Building and using pyramids for large raster data