Financial AI with Julia

Diagnostics for Oceananigans

I/O operations for OME-TIFF files in Julia

Statistical standard error estimation tools for correlated data

OpenMendel package for haplotyping and imputation

A Julia package for working with spherical harmonic expansions

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

Basis Function Expansions for Julia

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Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

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

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

Rigid body dynamics simulation using maximal coordinates.

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

Distances between heterogeneous tabular data

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

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

Benchmark tools for solvers

A tool to solve optimal control problem

Learning Algebraic Varieties from Samples

Signal logging and scoping for DifferentialEquations.jl simulations.

Random Integrators for many-body quantum systems

Julia MathML parser

Apply meaningful keys and custom behavior to indices.

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

Solvers for problems involving unsteady fluid flow

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

Flux reconstruction method for advection-diffusion type physics

An open-source toolkit for entropic data analysis

Functions plot PowerModels networks

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Large scale convex optimization solvers in julia