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

Optimization Problems for Julia

A fully `Distributions.jl`-compliant copula package

Robust implementation for random-walk Metropolis-Hastings algorithms

Parallel computing with a tree of files metaphor

Dive deeper into your data with interactive graphics

Music Processing Library in Julia

Pure Julia Implementation of Geometrically Exact Beam Theory

Generic tensor networks for solution space properties.

Flexible implementation of cell lists to map the calculations of particle-pair dependent functions, such as forces, energies, neighbor lists, etc.

Package implementing common state-space routines.

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

Reproducible, flexible, and convenient data management

Build flexible hierarchical multi-instance learning models.

Julia Package for MRI Reconstruction

Random matrices package for Julia

CliMA model dycore

Projective geometry for computer vision in Julia

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

Rigorous floating-point calculations with interval arithmetic in Julia

Traits for julia: dispatch on whatever you want using where syntax

Julia package for the Apache ECharts v4 visualization library

Stochastic Optimization, Learning, Uncertainty and Sampling

FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!

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.

Writing financial contracts in Julia

Julia Library for Interatomic Potentials

Sampling from intractable distributions, with support for distributed and parallel methods

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Draw Julia syntax trees as a graph

A Julia interface for the SCS conic programming solver

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

A Julian abstract interface for atomic structures.

A Julia interface to the Coin-OR Branch and Cut solver (CBC)

Solve Fractional Differential Equations using high performance numerical methods

Home of the MLJ model registry and tools for model queries and mode code loading

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

Spin dynamics and generalization to SU(N) coherent states

High level functions for analyzing the output of simulations