An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Probabilistic programming via source rewriting

A Julia package for fitting (statistical) mixed-effects models

A Bayesian Analysis Toolkit in Julia

Simple, fast, column-based storage for data analysis in Julia

Convenience meta-package to load essential packages for statistics

Solid state detector field and charge drift simulation in Julia

WIP successor to Soss.jl

Bayesian Generalized Linear models using `@formula` syntax.

Support package for doing Calculus with Julia

Plotting and interface tools for biology.

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Arrays with acceleration indices

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

A toolbox meant for aircraft design analyses.

A toolbox meant for aircraft design analyses.

A small collection of semi-automatic performance checking tools

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

Base package for the GeoStats.jl framework

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

Graphical tools for Bayesian inference and posterior predictive checks

Simulation tools for Mixed Models

🌾 declarative crop modeling framework

GPT-3 as a generative function in Gen.

Utilities for characterizing sources in astronomical images.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Toolkit for analysis of radiation spectra in Julia

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Kriging estimators for the GeoStats.jl framework

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

Julia package to access CERN ROOT files, wraps Python package uproot

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Helper files for using `Julia` with MTH229.

A simple graph type with data on the vertices and edges.

RCall support for MixedModels.jl and lme4

Duality of view between named variables and flat vectors in Julia

Geostatistical clustering methods for the GeoStats.jl framework

Duality of view between named variables and flat vectors in Julia

Unpacking nested data structures into Tables

A tool for the combination and EFT interpretation of measurements in Julia