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QSO spectral fitting made easy!

Statistical learning models for tabular data

Makie recpies for visualising KmerAnalysis types and results.

A Julia package for the ACT-R cognitive architecture

Extensions for AlgebraOfGraphics.jl

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

Bayesian Integration of functions

Box-Cox transformation in Julia

Tools for the computation of canopy optical parameters

Calibration pipeline for ClimaAtmos.jl

A plugin to Dagger with various fancy or experimental features.

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

Computes Cross Correlation Functions (CCFs) with RvSpectML

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

HYMOD model implementation in Julia

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.

Multimodal datasets for Machine-Learning

Optimization for the Mimi.jl modeling framework

Julia rewrite of opt_einsum Python package

Physics-informed Machine Learning

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

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

Tiny Gibbs sampler making use of AbstractMCMC.jl and MCMCChains.jl

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Updates of high order cumulant tensors

Small wrapper for quadrature code and Distributions.jl

A Julia package for Empirical Mode Decomposition.

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Sparse Covariance and Precision matrix estimation

Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.

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