Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Sum of Squares Programming for Julia

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

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Exploratory analysis of Bayesian models with Julia

Package for dynamical modeling of power grids

Optimization package for the Security-Constrained Unit Commitment Problem

A Julia interface to the HiGHS solver

Bilevel optimization in JuMP

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

MagNav: airborne Magnetic anomaly Navigation

MADS: Model Analysis & Decision Support

A Julia interface to the GNU Linear Programming Kit

Yet Another XArray-like Julia package

High-performance reactive message-passing based Bayesian inference engine

Estimate the absolute performance of a piece of Julia code

A framework for simulating viscous incompressible flows about arbitrary body shapes.

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

Macros and functions to work with DSGE models.

Automatic dualization feature for MathOptInterface.jl

Optimal transport algorithms for Julia

A helper tool for visualizing and editing a ModelingToolkit.jl system connections

Julia interface to SCIP solver

Semidefinite programming optimization solver

Easily benchmark a Julia package over its commit history

A Julia package for numerical computation in quantum information theory

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Bayesian optimization for Julia

Algorithms that combine tensor network methods with automatic differentiation

Pure Julia implementations of single-pass object detection neural networks.

A Julia package for estimating ARMA-GARCH models.

Optimization Problems for Julia

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Stochastic Optimization, Learning, Uncertainty and Sampling

FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!