A Julia package for estimating ARMA-GARCH models.

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

Robust implementation for random-walk Metropolis-Hastings algorithms

Frequency tables in Julia

Julia DataFrames serialization format

Dive deeper into your data with interactive graphics

Optimization Problems for Julia

Pure Julia Implementation of Geometrically Exact Beam Theory

Generic tensor networks for solution space properties.

Reproducible, flexible, and convenient data management

Build flexible hierarchical multi-instance learning models.

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

An Electron.jl based figure and table display.

Julia Package for MRI Reconstruction

CliMA model dycore

Generate PowerPoint PPTX files from Julia

A Julia wrapper for the Alpha Vantage API.

Rigorous floating-point calculations with interval arithmetic in Julia

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

Julia package for the Apache ECharts v4 visualization library

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

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!

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

Julia package to access Twitter API

Stochastic Optimization, Learning, Uncertainty and Sampling

Show dependency tree of Julia project

Julia Library for Interatomic Potentials

Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.

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.

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.

A Julia package for interpretable machine learning with stochastic Shapley values

Unofficial Julia bindings for logging experiments to wandb.ai

Parsing .shp files in Julia

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.

Convert Pluto notebooks to HTML in automated workflows

Move data to and from the clipboard in Julia

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

Spin dynamics and generalization to SU(N) coherent states

Solve Fractional Differential Equations using high performance numerical methods