Representing machine learning models using mathematical programming

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

Diffusion MRI Simulation Toolbox in Julia

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

Some convenient hacks when using Nonconvex.jl.

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A pure Julia implementation of the Targeted Minimum Loss-based Estimation

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

Dynamical models used within astrodynamics and orbital mechanics!

Reduce several arbitrary-connectivity optimization problems into maximum independent set problems on a grid

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

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Adversarial attacks for Neural Networks written with FluxML

Differentiable JUlia ICE model

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

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe

Nonconvex Exterior Point Operator Splitting

Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

Test particle tracing in electromagnetic field

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Julia package for microstructure imaging

A simulation engine for models related to plants

Simple, blazing fast, message-passing graph neural network.

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

A general-purpose Julia package for structural and system reliability analysis.

A flexible toolkit for simulation based inference in Julia

Interface between ControlSystems and ModelingToolkit

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

Learning Dynamic Movement Primitives in Julia

Structure-preserving numerical methods for dispersive shallow water models

Measures (metrics) for statistics and machine learning

Modern Hopfield layer implementations in Julia

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Julia implementation of the bond graph framework

A differentiable parametrization of a group of unitary matrices.

Ecosystem for writing partial differential equation solvers

Composition made easy(ish)

A Julia library of positivity-preserving time integration methods

Formally and easily, describe the semantics.