Julia GARCH package

Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

A Julia library of positivity-preserving time integration methods

Julia package for performing rigorous arithmetic of Imprecise Probabilities with fuzzy numbers

Portfolio optimization

Experimental features for Flux.jl

EHT Image domain analysis through template matching.

Julia package for association rule learning

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

A Julia package for working with the Quranic Arabic Corpus.

Adaptive stress testing of black-box systems within POMDPs.jl

DSL for Financial Contracts.

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications

Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

Tools for general Tight Binding systems

Symbolics-based function property propagation for optimization

Exact reduction of ODE models via linear transformations

A small step for dynamics, a giant leap for SciML

Backward-filtering forward-guiding with StochasticDiffEq.jl

[Julia Package] Fitting Phase-Type Distributions using an EM Algorithm

A package for representing quasi-arrays

Core functionality of ApproxFun

A package to plot shapefiles with Julia.

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

The Juice package for circuits in artificial intelligence, both logic and probabilistic

A Julia implementation of the Paillier partially homomorphic encryption system

Symbolic modeling in Julia!

Extension of MultivariatePolynomials to moments of multivariate measures

Graph representations of text

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A package for missing data handling via multiple imputation by chained equations in Julia. It is heavily based on the R package {mice} by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators.

🌊 D-Wave Quantum Annealing Interface for JuMP

TensorKit extension for reading in categorical data.

Julia implementation of joint models combining longitudinal and survival endpoints

A framework to implement iterative algorithms

RCall support for MixedModels.jl and lme4

Disk based, buffered data structures for machine learning

Libint2 interface to Julia

Update the hashes and checksums of all Julia stdlibs in just four clicks.

Julia toolbox for Quantitative Susceptibility Mapping