Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

A package for time series data processing, classification, clustering, and prediction.

Equation-based modeling and simulations in Julia

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

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.

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.

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Utilities and abstractions for Machine Learning tasks

Exploratory analysis of Bayesian models with Julia

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.

Package for dynamical modeling of power grids

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MADS: Model Analysis & Decision Support

3D computer vision library in Julia

MagNav: airborne Magnetic anomaly Navigation

Yet Another XArray-like Julia package

Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds

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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.

Julia Devito inversion.

Macros and functions to work with DSGE models.

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

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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

Dive deeper into your data with interactive graphics

Robust implementation for random-walk Metropolis-Hastings algorithms

Music Processing Library in Julia

Generic tensor networks for solution space properties.

Flexible implementation of cell lists to map the calculations of particle-pair dependent functions, such as forces, energies, neighbor lists, etc.

Pure Julia Implementation of Geometrically Exact Beam Theory

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

Build flexible hierarchical multi-instance learning models.

Rigorous floating-point calculations with interval arithmetic in Julia

Julia Package for MRI Reconstruction

Projective geometry for computer vision in Julia

Traits for julia: dispatch on whatever you want using where syntax