Macros and functions to work with DSGE models.

A helper tool for visualizing and editing a ModelingToolkit.jl system connections

Optimal transport algorithms for Julia

Hidden Markov Models for Julia.

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

A Julia package for manifold learning and nonlinear dimensionality reduction

Beta Machine Learning Toolkit

Algorithms that combine tensor network methods with automatic differentiation

Bayesian optimization for Julia

A Julia package for estimating ARMA-GARCH models.

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

A fully `Distributions.jl`-compliant copula package

Dive deeper into your data with interactive graphics

Robust implementation for random-walk Metropolis-Hastings algorithms

Parallel computing with a tree of files metaphor

Pure Julia Implementation of Geometrically Exact Beam Theory

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

Build flexible hierarchical multi-instance learning models.

Package implementing common state-space routines.

CliMA model dycore

A Julia package for simulation, inference and learning of Hidden Markov Models.

Random matrices package for Julia

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

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!

Julia package for the Apache ECharts v4 visualization library

Julia Library for Interatomic Potentials

Writing financial contracts in Julia

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

A Julia package for variational Bayesian topic modeling.

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

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

Fast, scalable and flexible Outlier Detection with Julia

Abstract types and interfaces for Markov chain Monte Carlo methods