Specialized tools for MRI

The weaving paper strips: shape optimization by geometric elasticity

Commonly used test images

Julia package for the plotting of plane curves and surfaces

Geothermal Cloud for Machine Learning

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

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

OpenMendel package for haplotyping and imputation

Statistical standard error estimation tools for correlated data

A Julia package for working with spherical harmonic expansions

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

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Basis Function Expansions for Julia

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

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

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I/O operations for OME-TIFF files in Julia

Analysis of Polarization and Frequency Selective Surfaces

Financial AI with Julia

Diagnostics for Oceananigans

Distances between heterogeneous tabular data

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

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

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

Signal logging and scoping for DifferentialEquations.jl simulations.

Rigid body dynamics simulation using maximal coordinates.

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

A tool to solve optimal control problem

Benchmark tools for solvers

Julia MathML parser

Learning Algebraic Varieties from Samples

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

Apply meaningful keys and custom behavior to indices.

Random Integrators for many-body quantum systems

Tools for simulating organism dispersal

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

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