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

Starter kit for legendary models

Explainable AI in Julia.

Package for dynamical modeling of power grids

Parallel distributed-memory version of Gridap

Transforms and pipelines with tabular data in Julia

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

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

MADS: Model Analysis & Decision Support

3D computer vision library in Julia

MagNav: airborne Magnetic anomaly Navigation

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Yet Another XArray-like Julia package

Time series implementation for the Julia language focused on efficiency and flexibility

Interval Sets for Julia

High-performance reactive message-passing based Bayesian inference engine

Experimental Julia implementation of the Amazon Braket SDK

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.

Layout algorithms for graphs and trees in pure Julia.

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

A latex math mode engine in pure Julia.

Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)

A universal document authoring package for Julia.

Julia Devito inversion.

Macros and functions to work with DSGE models.

Optimal transport algorithms for Julia

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

A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.

Basic (mathematical) operations for B-spline functions and related things with julia

A Julia package to read, write and manipulate macromolecular structures

Beta Machine Learning Toolkit

Timeseries in Julia

Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Bayesian optimization for Julia