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

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A Julia package for integrative cluster analysis of multiple genomics datasets

Unit conversion utility for the cosmological Tree-SPH code Gadget

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Implicitly defined graphs (possibly infinite)

QSO spectral fitting made easy!

Image analysis and stochastic processes on shape and landmark spaces.

Plotting functionality for Agents.jl - Agent-Based Modelling in Julia

MCMCDebugging.jl: debugging utilities for MCMC samplers

Permutation tests for MixedModels.jl

Linear periodic time-varying systems tools in Julia

A package for embeddings processing

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Models of gas-phase atmospheric chemistry and related processes

Phylogenetic Estimation of Shifts in the Tempo of Origination

Population dynamics across space, in Julia.

Generate simulated DNA sequences for regulatory genomics problems

Fast forward simulations of extragalactic foregrounds

Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

Simulation engine for Heta-based models

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Analysis of Gaussian models on phylogenetic networks using belief propagation (aka message passing)

Bayesian quantile regression in Julia

Hypothesis Tests for Validating MCMC Kernels

Dependency aware feature selection

Statistical Process Monitoring in Julia

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This Package comprises a collection of ensemble algorithms for prediction, in order to improve the predictive performance for classification and regression problems.

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

Package allowing tensor calculations in arbitrary coordinate systems.

A Julia package to solve multi-state system models, often found in reliability engineering.

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

GraviPet is the General Relativistic Astrophysics Visualization, Initialization, and Postprocessing Efficient Toolkit

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Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Conduct one-way and multi-way anova in Julia with GLM.jl

Matrix Product Belief Propagation

A Julia package for grid-based adaptive design optimization.