Prescribed flow models for testing cloud microphysics schemes.

Nonparametric Bayesian volatility learning under microstructure noise

Tools for working with ITS_LIVE glacier velocity data

Computational Tools for Heat Exchanger Network Synthesis

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

A Package for Estimating Stochastic Frontier Models using Julia

Simulate EEG / ERP data with overlap, non-linear effects, multiple regression

-

Prescribed flow models for testing cloud microphysics schemes.

A package for obtaining the effective time-averaged Lindbladian.

A package for Random Matrix Theory

Equilibrium marriage market models.

Support for Fourier-based spaces in ApproxFun

Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.

Optimal Transport Networks in Spatial Equilibrium - in Julia

An implementation of the cross entropy method that works well for time series

A Julia interface to the Firebird RDBMS

Finite Element tools in Julia: Heat diffusion application

Reference single time step propagators. Part of the COFII framework.

Quantitative risk and performance analysis package for financial time series powered by the Julia language.

-

-

Abstract types and math operations for OpenQuantumTools.jl.

A collection of functions to analyze phonetic data

Gila implements free space, frequency domain, electromagnetic Green functions.

-

Finite Element tools in Julia: Nonlinear deformation application

Collection 3D visualization tools associated with the Caesar.jl and RoME.jl robot navigation packages

-

NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios

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

An Open Nonlinear Structural Analysis Solver in Julia

Statistical inference for Poisson Processes

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

Tools for robot visualization in Julia.

-

-

A package for representing orthogonal polynomials as quasi arrays

-

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.