Generalized mean-field equations in open quantum systems

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Inline graphics in the REPL using Sixel

Graph plotting and drawing networks with Julia, using Luxor graphics

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

Taylor-mode automatic differentiation for higher-order derivatives

Creating QR Codes within Julia

Global glacier model using Universal Differential Equations for climate-glacier interactions

Simulation of quantum systems on a lattice

Turing + Makie = Turkie

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Simple geographical vector interaction built on top of ArchGDAL

A operator overloading, tape-based, reverse-mode AD

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Calculate with error-free, faithful, and compensated transforms and extended significands.

Integrated Assessment Modeling Framework

Let's focus on writing demos

A Julia REPL mode for SQL

Building dynamical systems compositionally

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

An open-source framework written in Julia for global integrated assessment models.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Visualization for Flux.Chain neural networks

Base functionality library for QuantumOptics.jl

An open source model predictive control package for Julia.

Resizeable multi-dimensional arrays for Julia

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Rigorous function approximation using Taylor models in Julia

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Basic numerical integration routines for presampled data.

Atomic graph models for molecules and crystals in Julia

Model and solve optimal control problems in Julia

Darcy flow and reservoir simulator based on Jutul.jl

A package for discrete-time optimal stochastic control

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Choo-choo

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions