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

Probabilistic Circuits from the Juice library

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Optimization package for the Security-Constrained Unit Commitment Problem

Package for dynamical modeling of power grids

Parallel distributed-memory version of Gridap

A Julia interface to the HiGHS solver

Sparse, General Linear Algebra for Graphs!

Julia chess programming library.

Bilevel optimization in JuMP

Transforms and pipelines with tabular data in Julia

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Easy peasy logging to TensorBoard with Julia

Utility package for generating, loading, splitting, and processing Machine Learning datasets

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

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

3D computer vision library in Julia

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

A Julia interface to the GNU Linear Programming Kit

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)

Yet Another XArray-like Julia package

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

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

High-performance reactive message-passing based Bayesian inference engine

Interval Sets for Julia

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

Experimental Julia implementation of the Amazon Braket SDK

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Large scale Gaussian Mixture Models

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

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

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

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

Julia for Whole-genome Analysis Software

An API for dispatching on the "scientific" type of data instead of the machine type

A universal document authoring package for Julia.

Julia Devito inversion.

Macros and functions to work with DSGE models.

Automatic dualization feature for MathOptInterface.jl