A numerical library for evaluating the communication value of a quantum channel.

Test Toolkit for Outlier Detection Algorithms

A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA)

Julia package with Daubechies wavelets on an interval

Computation of UV line-driven winds in AGNs

Julia implementation of the Globally-Optimal Gaussian Mixture Alignment algorithm (Campbel 2016)

Gaussian KDEs in Julia.

Tools for analysis of 1d gasdynamics problems

Easy way to use public outlier detection datasets with Julia

Graphics package for BasicBSpline.jl

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Julia version of MRI gradient descriptions and GIRF applications.

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A Julia package for computing cross mapping causality measures between time series.

Geostatistical models for the GeoStats.jl framework

A Julia package to numerically approximate 1d function integrals using any of a variety of different methods.

A hybrid sampler for the Pólya-Gamma distribution in Julia, implementing multiple algorithms for efficient sampling.

Fast construction of Gaussian Process Regression models supporting gradient information.

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Advanced systems management for AutomationLabs

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Klare and Miller Gauss-Newton Minimizer

Plots of Gaussian processes with AbstractGPs and Makie

Generate checklists and flow diagrams based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)

A simple RBF interpolation framework

Julia package for simulating multifractal random fields according to Gaussian multiplicative chaos theory.

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A package for the development and implementation of continuous-time policy gradient (CTPG) methods.

Utility package for visualizing the Gerhsgorin discs of a matrix.

Support for rational bases in ApproxFun

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A bound constrained nonlinear least squares solver

Multiple integration on convex polytopes.

Julia implementation of the python package rembg

Library for storing your MCMCChains without serialization.

Package for computing invariant sets of general discrete-time dynamical systems with controls and uncertainties using graph-based algorithms.

Compute confidence Intervals (CLT, Chebyshev, Hoeffding) and Confidence Seqeunces (in a sequential setting if needed) in Julia