Signal logging and scoping for DifferentialEquations.jl simulations.

Random Integrators for many-body quantum systems

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

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Learning Algebraic Varieties from Samples

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Algorithms for Learning Graphical Models

A Julia package for computing processes related to plant ecophysiology and biophysics

Toolbox for calculating optical PSFs

Distances between heterogeneous tabular data

Exploring practical possibilities of approximating functions with frames rather than with a basis

Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

Benchmark tools for solvers

Define your own number types in Julia super easily!

Presolve routines for mathematical optimization

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Julia MathML parser

A tool to solve optimal control problem

Rigid body dynamics simulation using maximal coordinates.

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

Faster sorting algorithms (sort and sortperm) for Julia

Your local Flux surgeon

Apply meaningful keys and custom behavior to indices.

Constrained and NoNlinear Optimizer of Least Squares

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

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A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).

A Meta Package for Machine Learning Interpretation

A PowerModels.jl Extension Package for Exploratory Work

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Iterative hard thresholding for l0 penalized regression

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations

An open-source toolkit for entropic data analysis

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Extensions to MathOptInterface to support constraint programming.

A Modern Binary Ephemeris Reader for Julia, in Julia.

Functions plot PowerModels networks

One stop solutions for all things optimization

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