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Name: The Turing Language
Type: Organization
Bio: Bayesian inference with probabilistic programming
Blog: https://turinglang.org
Name: The Turing Language
Type: Organization
Bio: Bayesian inference with probabilistic programming
Blog: https://turinglang.org
Organization-wide GitHub Actions and other metadata
Abstract types and interfaces for Markov chain Monte Carlo methods
Common types and interfaces for probabilistic programming
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Robust implementation for random-walk Metropolis-Hastings algorithms
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
Implementation of variational Bayes inference algorithms
Implementation of normalising flows and constrained random variable transformations
Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff
Documentation and tutorials for the Turing language
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
Julia implementation of elliptical slice sampling.
Dynamically track IR as a graph, using source transformations
Implementation of domain specific language (DSL) for probabilistic graphical models
Tape based task copying in Turing
Types and utility functions for summarizing Markov chain Monte Carlo simulations
MCMCDebugging.jl: debugging utilities for MCMC samplers
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
Implementations of single and multi-ellipsoid nested sampling
A Bayesian zoo
An implementation of PSIS algorithms in Julia.
Slice sampling algorithms in Julia
Common abstractions for state-space models
Turing Workshop
Bayesian inference with probabilistic programming.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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