3D computer vision library in Julia

MADS: Model Analysis & Decision Support

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.

Macros and functions to work with DSGE models.

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.

Beta Machine Learning Toolkit

A Julia package for numerical computation in quantum information theory

Algorithms that combine tensor network methods with automatic differentiation

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

Dive deeper into your data with interactive graphics

Generic tensor networks for solution space properties.

Music Processing Library in Julia

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

Build flexible hierarchical multi-instance learning models.

A general-purpose toolbox for efficient Kronecker-based algebra.

CliMA model dycore

Projective geometry for computer vision in Julia

An abstract interface for plotting libraries, part of the Makie ecosystem.

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package for the Apache ECharts v4 visualization library

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Solve Fractional Differential Equations using high performance numerical methods

Spin dynamics and generalization to SU(N) coherent states

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

High level functions for analyzing the output of simulations

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

Simulated Method of Moments for Julia

Flexible and performant GEMM kernels in Julia

Fast Fourier transforms of MPI-distributed Julia arrays

Imputation methods for missing data in julia

Preheat your MCMC

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

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

A Julia package for representing infinite-dimensional arrays

Implementation of the Deep Q-learning algorithm to solve MDPs