SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Climate science package for Julia

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Equation-based modeling and simulations in Julia

A standard library of components to model the world and beyond

Exploratory analysis of Bayesian models with Julia

Package for dynamical modeling of power grids

MagNav: airborne Magnetic anomaly Navigation

Yet Another XArray-like Julia package

High-performance reactive message-passing based Bayesian inference engine

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

Macros and functions to work with DSGE models.

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

Algorithms that combine tensor network methods with automatic differentiation

Bayesian optimization for Julia

A Julia package for estimating ARMA-GARCH models.

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

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 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

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

Spin dynamics and generalization to SU(N) coherent states

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

High level functions for analyzing the output of simulations

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

A julia package for representing and manipulating model semantics

Preheat your MCMC

Modeling and Simulation of 3D systems

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Survival analysis in Julia

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

A simple tool for simulating trapped ion systems

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Generalized mean-field equations in open quantum systems

Econometrics in Julia

Global glacier model using Universal Differential Equations for climate-glacier interactions

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations