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

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

A playground for evolutionary computation in Julia

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A Julia package for working with spherical harmonic expansions

Basis Function Expansions for Julia

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Neural network training, fast and easy.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

A simple weather app for the Julia REPL

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

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

Analysis of Polarization and Frequency Selective Surfaces

Financial AI with Julia

Random Integrators for many-body quantum systems

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Signal logging and scoping for DifferentialEquations.jl simulations.

Rigid body dynamics simulation using maximal coordinates.

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

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

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

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

Julia MathML parser

Generate plotly.js JSON in Julia -- nothing less, nothing more.

Learning Algebraic Varieties from Samples

Distances between heterogeneous tabular data

A tool to solve optimal control problem

Benchmark tools for solvers

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

Apply meaningful keys and custom behavior to indices.

Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

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

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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)

One stop solutions for all things optimization

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

Functions plot PowerModels networks

An open-source toolkit for entropic data analysis