A julia package for representing and manipulating model semantics

Imputation methods for missing data in julia

Preheat your MCMC

Core types for regularly-sampled multichannel signals like Audio, RADAR and Software-Defined Radio

Modeling and Simulation of 3D systems

Foundational tooling for handling collections of parameters in models

Build Petri net models compositionally

A Julia package for representing infinite-dimensional arrays

Structured optimization in Julia

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Makie package to plot maptiles from various map providers

Simulation and visualization of articulated rigid body systems in Julia

Bayesian Generalized Linear models using `@formula` syntax.

A modern OpenGL 4.6 rendering framework, written in Julia.

Graph plotting and drawing networks with Julia, using Luxor graphics

Inline graphics in the REPL using Sixel

Creating QR Codes within Julia

Turing + Makie = Turkie

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

A Julia library for handling MIDI files

Integrated Assessment Modeling Framework

Fast matrix multiplication and division for Toeplitz matrices in Julia

A Julia REPL mode for SQL

Building dynamical systems compositionally

A Julia/JuMP Package for Gas Network Optimization

Flexible and efficient persistent homology computation.

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Atomic graph models for molecules and crystals in Julia

Julia package for solving singular integral equations

Import, process and interpret geophysical data sets to be used in numerical models.

Compositional data analysis in Julia

Nonlinear optical pulse propagator

A high functioning package detective.

Economic modeling in Julia

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Plotting and interface tools for biology.

A Julia package for the Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain

Segment-anything wrapped for Julia

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks