Randomized Methods for Linear Algebra

Lathe is an inclusive Predictive Learning module for Julia

Julia Package for randomized diagonal estimation of matrices and matrix functions

Voronoi and Delaunay tesselation in arbitrary dimension

A common interface for different laser types

Monotone Cubic B-Splines (arXiv:2307.01748)

Analytic routines for power system simulation results in the Sienna ecosystem

Modules to analyse ocean model output or observational data that are saved as Raster data structures.

Ideal Gas Library for Engineering Thermodynamics in Julia

A Julia package for grid-based adaptive design optimization.

This package provides access to the QuasiGrad solver, developed for the 3rd ARPA-E Grid Optimization (GO) Challenge.

Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data

Implicitly defined graphs (possibly infinite)

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Classification algorithms based on kernel nearest centers

Generate nice reports from MCMC-based approximations

Implement different KL Divergences analytically or by sampling

Infinite random arrays in Julia.

Tools for Visualization of Quantum Annealing

This is an ODE solver that implements the quantized state system methods: An approach that builds the solution by updating the system variables independently.

A Collection of Quadrature Rules in Julia

3D viewer for airborne wind energy systems

An implementation of quantile regression for Julia modeled after the R quantreg package.

Algorithms for solving the quadratic assignment problem (QAP) implemented in Julia.

QSO spectral fitting made easy!

🧲Ising Model solvers in Julia

Library for generating and visualizing lattices for use in constructing Hamiltonians

Distributions and Sampleables with keys for the variates

A toolbox for air-water vapor psychrometrics for Julia

Utilities for turning DataFrames into panel-like data structures for use in causal inference models

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Makes pixels from strings in a very basic way

Simulate multivariate distributions with arbitrary marginals.

Load and save Netpbm images in Julia

Julia package to determine effective number of uncorrelated data points in a correlated data stream via an O(log N) online binning algorithm.

This Package comprises a collection of ensemble algorithms for prediction, in order to improve the predictive performance for classification and regression problems.

This package models the dynamics of a biofilm using the Julia programming language.

One package to train them all