A Julia package to solve multi-state system models, often found in reliability engineering.

Lazy interface to lattices with arbitrary unit cells.

Julia package implementing the ring of Gaussian integers using the generic (Euclidean) ring interface of AbstractAlgebra.jl

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Generalized CP Tensor Decompositions

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Schedule synthesizers!

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

Tool for assigning students from a large class (e.g. Senior Design) to projects based on their preferences, skills, and small friend groups

Julia wrapper around the Faiss library for similarity search with PythonCall.jl

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

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Create triangular matrix of subplots showing 2D parameter samples

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F-1 method

A little Julia module to allow factorization and backslash to work with hyperdual-valued arrays and sparse arrays.

Tools to pick data in an interactive manner

Empirical Bayes mean estimation with nonparametric errors via order statistic regression in Julia (https://arxiv.org/abs/1911.05970)

Continuous testing while developing functions

Geostatistical learning solvers for the GeoStats.jl framework

Generate nice reports from MCMC-based approximations

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Julia package for decomposing doubly stochastic matrices

Matrix Product Belief Propagation

A simple, compact, and extensible tool for optical raytrace evaluation in the Julia Programming Language.

Monotone Cubic B-Splines (arXiv:2307.01748)

Package for generating and parsing .pomdpx files for SARSOP

Manifolds for the natural parameters of members of the exponential family of distributions

Geostatistical Inversion

Geostatistical functions for the GeoStats.jl framework

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Line numbering reader for Julia

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

Observable for Markov chain Monte Carlo simulations

Simulation engine for Heta-based models

High Frequency radar data interpolation with DIVAnd

MCMCDebugging.jl: debugging utilities for MCMC samplers

Code generation for Euler-Lagrange equations.

Dynamical systems identification