A Julia package for solving two-dimensional electromagnetic scattering from numerous particles

A Julia package for integrative cluster analysis of multiple genomics datasets

A package to calculate typical pair correlations, such as Percus-Yevick, and to calculate specific particle configurations from a given pair correlation.

Implementation of the Persistent Homology Transform

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

Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!

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A package for embeddings processing

Julia package for numerical sensitivity analysis.

Seismic reconstruction tools for SeismicJulia project

Package to estimate a minimum edge-disjoint edge clique cover (EECC) of a graph

Effective field theory approach to the electron liquid problem

High Frequency radar data interpolation with DIVAnd

📦 Easily parse DMARC XML files into a more human-readable format with this high-performance Julia package.

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

A Julia package for grid-based adaptive design optimization.

Effect size measures

Power Spectral Density Probability Density Functions Calculation in Julia.

Networks. Boil 'em mash 'em stick 'em in a stew. And now, plot 'em.

Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

Dependency aware feature selection

Dyadic kernel density estimation in Julia

Empirical Bayes shrinkage in Julia

A minimalist, platform-agnostic Julia package for univariate geophysical data.

Julia interface to https://search.earthdata.nasa.gov

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

Differential Inequality Algorithms for Parametric ODEs

MySQL adapter for SearchLight

Infinite random arrays in Julia.

Generate nice reports from MCMC-based approximations

Matrix Product Belief Propagation

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Scalpels algorithm

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

Implicitly defined graphs (possibly infinite)

Schedule synthesizers!

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MCMCDebugging.jl: debugging utilities for MCMC samplers

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