High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

Computation graphs for matrix functions

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

A flexible Julia toolkit for high-dimensional cellular profiles

An easy to use Julia framework for agent based modeling.

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.

Julia implementation of Smooth Local Projections (SLP)

-

Helper files for using `Julia` with MTH229.

-

Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

A generic and fast solver of mode-coupling theory-like integrodifferential equations

Tools for general Tight Binding systems

Plot recipe for plotting (decision) trees

Numerical integration methods for structural dynamics problems

Symbolics-based function property propagation for optimization

Library that handles atom structures as XYZ files and properties derived from it.

A small step for dynamics, a giant leap for SciML

EHT Image domain analysis through template matching.

-

An astrodynamics package for working in the three body problem

Transfer entropy (conditional mutual information) estimators for the Julia language

A Julia modeling layer for the Generalized Moment Problem

A Julia package for spatial dependence (spatial autocorrelation), spatial weights matrices, and exploratory spatial data analysis (ESDA).

Extension of MultivariatePolynomials to moments of multivariate measures

Types and constructors for spatially referenced graphs.

Neural Signal Analysis

Neutrino oscillation probability calculator

Duality of view between named variables and flat vectors in Julia

-

Symbolic modeling in Julia!

FractionalTransforms.jl: A Julia package aiming at providing fractional order transforms with high performance.

Geostatistical clustering methods for the GeoStats.jl framework

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

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.

ExponentialFamily.jl is a Julia package that extends the functionality of Distributions.jl by providing a collection of exponential family distributions and customized implementations.

A Julia implementation of the Paillier partially homomorphic encryption system

🌊 D-Wave Quantum Annealing Interface for JuMP

Core functionality of ApproxFun