Shared functionalities for multiple infrastructure network optimization packages

A Julia library for hierarchical matrices

Julia package to facilitate graphing of implicit equations and inequalities

Common functions in actuarial and financial routines

Unified contact simulaton and collision detection

A pure Julia 1/2/3D histogram package that focus on speed and is thread-safe.

Utility package for Sienna's simulation infrastructure

Julia package for working with special matrix types.

LazyJSON is an interface for reading JSON data in Julia programs.

RHEOS - Open Source Rheology data analysis software

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

A Julia package for classical orthogonal polynomials and expansions

MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:

Julia API to the Remarkable cloud

Robotics library written in the Julia programming language

Julia Interface to libsndfile

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

Sum-product networks in Julia.

Swagger (OpenAPI) helper and code generator for Julia

Suggested opening moves for building APIs in Julia

Convenient way to handle simple graphs and digraphs

Convert a Jupyter notebook to Pluto notebook (vice versa)

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Data visualization in Julia

DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.

A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]

Photonic crystals in Julia 🦚

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Sole.jl – Long live transparent modeling!

A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)

Fast 1D LTE stellar spectral synthesis

A PowerModels Extension for Security Constrained Optimization Problems

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Comparing performance and results of mcmc options using Julia

DCE MRI analysis in Julia

A Julia package for UI development

A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow

Julia package for PEPS algorithms

Neural Network Approach for Data-Driven Constitutive Modeling

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.