Implementations of the models from the Statistical Rethinking book with Turing.jl

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Differentiable RayTracing in Julia

A Julia framework for invertible neural networks

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

Lasso/Elastic Net linear and generalized linear models

Convenience meta-package to load essential packages for statistics

A fast image augmentation library in Julia for machine learning.

System Identification toolbox, compatible with ControlSystems.jl

Beautiful and flexible vizualizations of high dimensional data

Algorithms and data structures for game theory in Julia

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

PortAudio wrapper for the Julia programming language, compatible with the JuliaAudio family of packages

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Fast low-rank matrix approximation in Julia

Parallel distributed-memory version of Gridap

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

Julia implementations of multidimensional array convolution and nonlinear stencil operations

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

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.

Julia Devito inversion.

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.

Pure Julia implementations of single-pass object detection neural networks.

Dive deeper into your data with interactive graphics

Music Processing Library in Julia

Generic tensor networks for solution space properties.

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

CliMA model dycore