A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)

Utilities for fitting and testing variance component models

PandaModels is the developing Julia package that contains supplementary data and codes to prepare pandapower networks in a compatible format for PowerModels.jl.

Julia package for solving dynamic programming problems

Fletcher's penalty method for nonlinear optimization models

Takes a power grid case and generates OPF samples by changing the input parameters.

Within-subject variance estimation by robust regression (WiSER)

-

Julia package for Bulk-And-Tails (BATs) distribution, along with R interface

-

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

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Optimal Transport Networks in Spatial Equilibrium - in Julia

Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF

Many-body objects for quantum computing: a Julia implementation

Reliability-based optimization

A powerful, no code solution for control and systems engineering

WiNDC Build Stream created in Julia

A JuMP extension for conducting flexibility analysis.

Optimal Portfolios

Advanced process control for AutomationLabs

Simulate phenotypes from any GLM model

Computational models of algorithmic competition

Physics-informed Machine Learning

A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA)

The julia library for the peccon project

CanDecomp (CP) Tensor Decomposition

-

Unified framework of quantification and unfolding algorithms

Algorithms for Risk Parity and Risk Budgeting portfolios for CV@R, using simulated scenarios

Easily implement a heuristic for solving Mixed Integer problems

-

Efficient optimal selection for tree breeding

Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

A Flexible Quasi-Copula Distribution for Statistical Modeling

A visualization package for the OpticSim Julia package

Constrained Bayesian optimization implementation in Nonconvex.jl

Algorithms for Learning Graphical Models from Time-Correlated Samples

-

Pavito wrapper in Nonconvex.jl