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

Exploratory analysis of Bayesian models with Julia

Explainable AI in Julia.

An ODBC interface for the Julia programming language

Probabilistic Circuits from the Juice library

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Package for dynamical modeling of power grids

Optimization package for the Security-Constrained Unit Commitment Problem

Julia chess programming library.

A Julia interface to the HiGHS solver

Bilevel optimization in JuMP

Parallel distributed-memory version of Gridap

Sparse, General Linear Algebra for Graphs!

Transforms and pipelines with tabular data in Julia

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

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

Easy peasy logging to TensorBoard with Julia

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

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)

A Julia interface to the GNU Linear Programming Kit

MADS: Model Analysis & Decision Support

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

Yet Another XArray-like Julia package

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

Interval Sets for Julia

High-performance reactive message-passing based Bayesian inference engine

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

Experimental Julia implementation of the Amazon Braket SDK

Large scale Gaussian Mixture Models

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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.

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

A universal document authoring package for Julia.

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

Julia Devito inversion.

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