Dependency Packages
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Turing.jl1807Bayesian inference with probabilistic programming.
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DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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StatisticalRethinking.jl366Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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MCMCChains.jl236Types and utility functions for summarizing Markov chain Monte Carlo simulations
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Stan.jl197Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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AdvancedHMC.jl192Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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BAT.jl164A Bayesian Analysis Toolkit in Julia
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TuringModels.jl153Implementations of the models from the Statistical Rethinking book with Turing.jl
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AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients
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DiffEqBayes.jl117Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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DynamicPPL.jl116Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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AdvancedMH.jl67Robust implementation for random-walk Metropolis-Hastings algorithms
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Turkie.jl65Turing + Makie = Turkie
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TuringGLM.jl58Bayesian Generalized Linear models using `@formula` syntax.
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AdvancedPS.jl50Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
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CalibrateEmulateSample.jl50Stochastic Optimization, Learning, Uncertainty and Sampling
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Dynare.jl44A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
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MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
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Pigeons.jl34Distributed and parallel sampling from intractable distributions
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NestedSamplers.jl33Implementations of single and multi-ellipsoid nested sampling
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KissABC.jl29Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
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Comrade.jl28-
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MCMCTempering.jl27Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
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AbstractPPL.jl25Common types and interfaces for probabilistic programming
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CRRao.jl23-
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PosteriorPlots.jl20Graphical tools for Bayesian inference and posterior predictive checks.
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SimulatedNeuralMoments.jl18Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net
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RegressionAndOtherStories.jl14Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.
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DifferentialEvolutionMCMC.jl14A Julia package for Differential Evolution MCMC
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EllipticalSliceSampling.jl13Julia implementation of elliptical slice sampling.
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StanSample.jl13WIP: Wrapper package for the sample method in Stan's cmdstan executable.
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BayesianQuadrature.jl13Is there anything we can't make Bayesian?
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Jags.jl12Julia package for using Jags as an external program
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ThermodynamicIntegration.jl10Thermodynamic Integration for Turing models and more
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BayesianNetworkRegression.jl9-
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EFTfitter.jl8A tool for the combination and EFT interpretation of measurements in Julia
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StanModels.jl8Stan versions of StatisticalRethinking models.
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HierarchicalGaussianFiltering.jl7The Julia implementation of the generalised hierarchical Gaussian filter
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NextGP.jl6Next Generation Genomic Prediction Tools
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