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

Suggested opening moves for building APIs in Julia

Comparing performance and results of mcmc options using Julia

Neural Network Approach for Data-Driven Constitutive Modeling

Sole.jl – Long live transparent modeling!

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A PowerModels Extension for Security Constrained Optimization Problems

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

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)

Easy interface for obtaining fits for 2D data

A library of cloud microphysics parameterizations

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

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

Fast 1D LTE stellar spectral synthesis

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

Edge-weighted graphs compatible with Graphs.jl

Photonic crystals in Julia 🦚

Draw Lindenmayer (L-Systems) recursive graphics

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

A Julia package for UI development

DCE MRI analysis in Julia

Plots.jl recipes for Unitful.jl arrays

Julia package for PEPS algorithms

Detect and track blobs in video

DOLPHYN: Decision Optimization for Low Carbon Power and Hydrogen Nexus

Layered Layout Algorithms for Directed Acyclic Graphs

Julia interface for COPT (Cardinal Optimizer)

Decompose a signal/timeseries into structure and noise or seasonal and residual components

Create NLPModels with JuMP

Clima's Land Model

Clima's Land Model

Julia package for the exact diagonalization method in condensed matter physics.

A fast and lightweight Julia package for Clifford and geometric algebras.

Julia bindings to chemfiles

Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance

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The ideal tool for exploring global marine biogeochemical cycles.

Cdd wrapper module for Julia. cdd is a library for polyhedra manipulation such as double description and Fourier-Motzkin elimination

Workshop materials for training in scientific computing and scientific machine learning