Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Probabilistic programming via source rewriting

Surrogate modeling and optimization for scientific machine learning (SciML)

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

A Bayesian Analysis Toolkit in Julia

Quantlib implementation in pure Julia

MagNav: airborne Magnetic anomaly Navigation

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Bayesian optimization for Julia

High level functions for analyzing the output of simulations

WIP successor to Soss.jl

Integrated Assessment Modeling Framework

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

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

Multistart optimization methods in Julia.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Methods for computational information geometry

A package for multi-dimensional integration using monte carlo methods

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Create parameter estimation problems for ODE models

Julia implementations of global sensitivity analysis methods.

Uncertainty Quantification in Julia

Julia Package for Financial Monte Carlo Simulations

Geometric ElectroMagnetic Particle-In-Cell Method

Graphical tools for Bayesian inference and posterior predictive checks

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

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From Semiconductor to TransistorLevel Modeling in Julia

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Julia implementation of joint models combining longitudinal and survival endpoints

A package for estimating and regularising correlation and covariance matrices with high frequency financial data

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

A package for the simulation of gas chromatography (GC)

A tool for the combination and EFT interpretation of measurements in Julia

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PAGE-2020 - a Julia implementation of the PAGE Integrated Assessment Model

A Package for Estimating Stochastic Frontier Models using Julia

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)