Algorithms that combine tensor network methods with automatic differentiation

Bayesian optimization for Julia

OpenAI API wrapper for Julia

A Julia package for estimating ARMA-GARCH models.

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

Julia Serialized Object (JLSO) file format for storing checkpoint data.

Optimization Problems for Julia

Julia DataFrames serialization format

Parallel computing with a tree of files metaphor

Dive deeper into your data with interactive graphics

Pure Julia Implementation of Geometrically Exact Beam Theory

Music Processing Library in Julia

IANA time zone database access for the Julia programming language

Generic tensor networks for solution space properties.

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

Generate PowerPoint PPTX files from Julia

This can construct the tight-binding model and calculate energies

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

Julia Package for MRI Reconstruction

Projective geometry for computer vision in Julia

CliMA model dycore

A Julia wrapper for the Alpha Vantage API.

Rigorous floating-point calculations with interval arithmetic in Julia

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!

StippleUI is a library of reactive UI elements for Stipple.jl.

Julia package to access Twitter API

Julia package powering VIVA, our tool for visualization of genomic variation data. Manual:

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.

Writing financial contracts in Julia

Julia Library for Interatomic Potentials

Cite Julia packages in your papers the easy way

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.

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

Parsing .shp files in Julia

Move data to and from the clipboard in Julia

A Julia interface for the SCS conic programming solver

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