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

Reproducible, flexible, and convenient data management

Build flexible hierarchical multi-instance learning models.

Package implementing common state-space routines.

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

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

Random matrices package for Julia

This can construct the tight-binding model and calculate energies

Julia Package for MRI Reconstruction

CliMA model dycore

A Julia wrapper for the Alpha Vantage API.

Rigorous floating-point calculations with interval arithmetic in Julia

Projective geometry for computer vision in Julia

Generate PowerPoint PPTX files from Julia

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!

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package to access Twitter API

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

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

Julia package for the Apache ECharts v4 visualization library

Julia Library for Interatomic Potentials

Writing financial contracts in Julia

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

Show dependency tree of Julia project

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.

Unofficial Julia bindings for logging experiments to wandb.ai

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.

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.

A Julia package for interpretable machine learning with stochastic Shapley values

Convert Pluto notebooks to HTML in automated workflows

A Julia package for variational Bayesian topic modeling.

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

Move data to and from the clipboard in Julia

Spin dynamics and generalization to SU(N) coherent states

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

Solve Fractional Differential Equations using high performance numerical methods

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

Fast, scalable and flexible Outlier Detection with Julia