Algorithms for Learning Graphical Models

Learning Algebraic Varieties from Samples

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

MCMC Inference for a Hawkes process in Julia

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

Distances between heterogeneous tabular data

Julia Package for Financial Monte Carlo Simulations

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

Signal logging and scoping for DifferentialEquations.jl simulations.

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Presolve routines for mathematical optimization

Your local Flux surgeon

Benchmark tools for solvers

Define your own number types in Julia super easily!

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

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

A tool to solve optimal control problem

Julia MathML parser

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

Faster sorting algorithms (sort and sortperm) for Julia

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

Apply meaningful keys and custom behavior to indices.

Rigid body dynamics simulation using maximal coordinates.

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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).

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

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

A PowerModels.jl Extension Package for Exploratory Work

Functions plot PowerModels networks

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

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One stop solutions for all things optimization

Tools for simulating organism dispersal

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

A Meta Package for Machine Learning Interpretation

Phylogenetic trees in Julia

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

Iterative hard thresholding for l0 penalized regression