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

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

I/O operations for OME-TIFF files in Julia

Julia implementation of Byte Pair Encoding for NLP

Toolbox for calculating optical PSFs

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

Julia package for lazily viewing a 3D or 4D array as an expanded 2D array in the form of a mosaic of matrix slices

Multithreaded mat-vec multiplication for sparse matrices in the CSR format, in Julia

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

Signal logging and scoping for DifferentialEquations.jl simulations.

Julia Package for Financial Monte Carlo Simulations

A tool to solve optimal control problem

Julia MathML parser

Random Integrators for many-body quantum systems

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

Your local Flux surgeon

Apply meaningful keys and custom behavior to indices.

Generate and perturb protein structural ensembles using the ExProSE algorithm

Analysis, processing, and simulation of data generated by scientific robots in the Ocean.

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An array type for MPI halo data exchange in Julia

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

A Julia package for Adaptive Resonance Theory (ART) algorithms.

Large scale convex optimization solvers in julia

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

Iterative hard thresholding for l0 penalized regression

Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.

Package for the propagation of representations of low-rank matrices through finite compositions of common operations.

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

Functions plot PowerModels networks

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

A Modern Binary Ephemeris Reader for Julia, in Julia.

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

Pirated SLEEF port.

Flux reconstruction method for advection-diffusion type physics

Julia package for general many-body exact diagonalization calculation.