Kernel Density Estimate with product approximation using multiscale Gibbs sampling

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

Julia Package for Financial Monte Carlo Simulations

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

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Learning Algebraic Varieties from Samples

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

MCMC Inference for a Hawkes process in Julia

Distances between heterogeneous tabular data

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Signal logging and scoping for DifferentialEquations.jl simulations.

Toolbox for calculating optical PSFs

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

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

A tool to solve optimal control problem

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

Faster sorting algorithms (sort and sortperm) for Julia

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Algorithms for Learning Graphical Models

Apply meaningful keys and custom behavior to indices.

Random Integrators for many-body quantum systems

Benchmark tools for solvers

Your local Flux surgeon

Rigid body dynamics simulation using maximal coordinates.

Define your own number types in Julia super easily!

Julia MathML parser

Presolve routines for mathematical optimization

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

A PowerModels.jl Extension Package for Exploratory Work

One stop solutions for all things optimization

Computing mixed-strategy Nash Equilibria for games involving multiple players

Phylogenetic trees in Julia

Functions plot PowerModels networks

A Julia package for operations research subjects

A Modern Binary Ephemeris Reader for Julia, in Julia.

An open-source toolkit for entropic data analysis

Julia package for general many-body exact diagonalization calculation.

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

A fast module for computing proximity queries between convex bodies in 2D/3D