Commonly used test images

Project Management tools, with a particular focus on PERT charts

Manipulation of generalized state-space (descriptor) system representations using Julia

OpenMendel package for haplotyping and imputation

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Statistical standard error estimation tools for correlated data

Geothermal Cloud for Machine Learning

A Julia package for working with spherical harmonic expansions

Builds conductance based neural networks iteratively, from ion channels and synapses

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

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I/O operations for OME-TIFF files in Julia

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Basis Function Expansions for Julia

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

A Julia package for creating live-style plots during calculations.

Diagnostics for Oceananigans

Financial AI with Julia

Analysis of Polarization and Frequency Selective Surfaces

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

Signal logging and scoping for DifferentialEquations.jl simulations.

Distances between heterogeneous tabular data

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

A tool to solve optimal control problem

Rigid body dynamics simulation using maximal coordinates.

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

Julia MathML parser

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

Benchmark tools for solvers

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

Apply meaningful keys and custom behavior to indices.

Random Integrators for many-body quantum systems

Learning Algebraic Varieties from Samples

Solvers for problems involving unsteady fluid flow

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

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

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

Functions plot PowerModels networks

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