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Agent-based modeling framework for bacterial behavior, based on Agents.jl

Tools for the computation of canopy optical parameters

The CAP and homalg projects compatibility package for Julia

A Julia package to perform large-scale sparse diagonalization.

Calibration pipeline for ClimaAtmos.jl

Julia package for engineering magnetic coils

Conda BinDeps provider for Julia

A plugin to Dagger with various fancy or experimental features.

A Julia implementation of several tools for solving school-choice problems and computing equilibria in nonatomic school-choice markets.

The Dynamic Agroforestry Coffee Crop Model in Julia

Graphical/statistical plotting GUI package for quick data visualisation and exploration.

A Julia package to handle high dimensional astronomy image data sets for radio interferometry

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A feature engineering library for Julia.

Artifacts for Geospatial Data Science

Geostatistical estimation solvers for the GeoStats.jl framework

Geostatistical simulation solvers for the GeoStats.jl framework

Developer tools for the GeoStats.jl framework

JUDI parallelism with Azure batch

Makie recpies for visualising KmerAnalysis types and results.

A standalone machine learning metrics library developed for Knet

Julia binding to kwant

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Stochastic kinetic scheme for uncertainty quantification

This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

Functions and workflows for the analysis of microbiome data.

Minesweeper in Julia

Test images for evaluating MPI simulation frameworks.

Multimodal datasets for Machine-Learning

MultiGrid Barrier method

Optimization for the Mimi.jl modeling framework

Physics-informed Machine Learning

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An implementation of Feynman's variational path integral technique, written in Julia, for the determination of phenomenological properties of the electron in electronic materials.

Methods to find zeros (roots) of polynomials over given domains

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Specification and efficient samplers for several random matrix distributions, focusing on spiked models in real-valued data.