Generate nice reports from MCMC-based approximations

Package for generating and parsing .pomdpx files for SARSOP

Permutation tests for MixedModels.jl

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

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

Implementation of the Persistent Homology Transform

Create triangular matrix of subplots showing 2D parameter samples

Population dynamics across space, in Julia.

Bayesian inference for Discrete state-space Partially Observed Markov Processes in Julia. See the docs:

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Multimodal datasets for Machine-Learning

MulticlassPerceptron.jl

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

A collection of background subtraction algorithms for spectroscopic data

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

Fit experimental data to a variety of sinusoidal models

State space reconstruction (SSR) for the study of dynamical system from time series.

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Box-Cox transformation in Julia

A Julia package for Empirical Mode Decomposition.

Define piecewise uniform densities over hypergrids

Calibration pipeline for ClimaAtmos.jl

An implementation of the BSDESPOT (Better Selection DESPOT) online POMDP Solver. BSDESPOT is a variation of DESPOT. It provides action branch selection based on upper and lower bounds, and multi-observation branches selection.

Simulate Machine Learning-based Business Processes in Julia

Julia package to facilitate the construction of JumpProblems on graphs.

Physics-informed Machine Learning

Julia package for opening and analyzing electrophysiological data

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

Extensions for AlgebraOfGraphics.jl

Estimation of calibration errors using Distributions.jl

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

A plugin to Dagger with various fancy or experimental features.

Analytic neural networks based on Symbolics.jl

Backend-agnostic differentiation with symbolic pass-through in Julia.

Combines CoherentNoise.jl and ImageTransformations.jl to produce interesting image results.

Julia package for CT images reconstruction and analysis