Hidden Markov Models for Julia.

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

Optimal transport algorithms for Julia

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

A Julia package for manifold learning and nonlinear dimensionality reduction

Beta Machine Learning Toolkit

Bayesian optimization for Julia

Algorithms that combine tensor network methods with automatic differentiation

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.

Package implementing common state-space routines.

Build flexible hierarchical multi-instance learning models.

Random matrices package for Julia

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

CliMA model dycore

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

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package for the Apache ECharts v4 visualization library

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 Library for Interatomic Potentials

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

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

Spin dynamics and generalization to SU(N) coherent states

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.

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

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Simulated Method of Moments for Julia