A package for solving optimal power flow problems using distributed algorithms.

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

A JuMP extension for probabilistic (chance) constraints

A package to generate visualizations from PowerSimulations.jl results. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Automatic transformation of implications and complementarity into mixed-integer models in Julia

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

A Sankey Diagram recipe for Plots.jl

Flow algorithms on Graphs.jl

Extension of JuMP to model decomposable mathematical programs (using Benders or Dantzig-Wolfe decomposition paradigm)

A JuMP extension for Generalized Disjunctive Programming

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Project Management tools, with a particular focus on PERT charts

Capacity Expansion Problem Formulation for Julia

Geothermal Cloud for Machine Learning

Julia packages for joint optimization of natural gas and power transmission networks

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A Julia wrapper around a PyCall wrapper around the qhull Convex Hull library

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A tool to solve optimal control problem

Your local Flux surgeon

Algorithms for Learning Graphical Models

Implementation of SDDP (Stochastic Dual Dynamic Programming) using the StructJuMP modeling interface

Functions plot PowerModels networks

A Julia package for operations research subjects

One stop solutions for all things optimization

A PowerModels.jl Extension Package for Exploratory Work

An energy system optimization model that is flexible, computationally efficient, and academically robust.

Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

A PowerModels Extension for Optimization of Power Network Restoration

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SeaPearl's pool of examples

A package designed for simulating biological dynamics and control.

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Additional functionality for LightGraphs.jl

Set Programming with JuMP

Julia package to solve Knapsack problems

A Julia framework for implementing branch-and-bound-type algorithms

Basic progressive hedging implementation in Julia

Open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility

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