19 Packages since 2016
User Packages
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Turing.jl1226Bayesian inference with probabilistic programming.
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MCMCChain.jl137Types and utility functions for summarizing Markov chain Monte Carlo simulations
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MCMCChains.jl137Types and utility functions for summarizing Markov chain Monte Carlo simulations
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AdvancedHMC.jl114Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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Bijectors.jl104Implementation of normalising flows and constrained random variable transformations
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DistributionsAD.jl97Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff
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DynamicPPL.jl56Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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AdvancedMH.jl33Robust implementation for random-walk Metropolis-Hastings algorithms
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AbstractMCMC.jl29Abstract types and interfaces for Markov chain Monte Carlo methods
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IRTracker.jl28Dynamically track IR as a graph, using source transformations
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AdvancedVI.jl27A library for variational Bayesian methods in Julia
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ThArrays.jl22A Julia interface for PyTorch's C++ backend, focusing on Tensor, AD, and JIT
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NestedSamplers.jl17Implementations of single and multi-ellipsoid nested sampling
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AdvancedPS.jl10Advanced sequential Monte Carlo and particle MCMC sampling library in Julia
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Libtask.jl7C shim for task copying in Turing
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EllipticalSliceSampling.jl7Julia implementation of elliptical slice sampling.
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AbstractPPL.jl5Common interfaces for probabilistic programming
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TuringCallbacks.jl4-
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MCMCDebugging.jl3MCMCDebugging.jl: debugging utilities for MCMC samplers
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