TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
Why this job: matched by what the repo talks about: inference, programm
What it does
Turing.jl is a general-purpose probabilistic programming package for Bayesian and likelihood-based inference. Implemented in Julia, it is designed to interoperate with the language's scientific computing ecosystem. Models can be written with @model, in BUGS syntax via JuliaBUGS.jl, or graphically with DoodlePPL, and support MCMC, variational inference, maximum likelihood and MAP estimation, and customised inference through Turing's log-density and gradient interface.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 26 days ago
- Stars
- 2,263
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.49.0
- Released 58 days ago
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- 6
- Last 90 days
- Issues
- 99% closed
- 16 still open
- Pull requests
- 1,085 merged
- 7 waiting
- Releases
- 256
- 30+ in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
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More: languages, topics and project record
Languages
- Julia 100%
Topics
- machine-learning
- probabilistic-programming
- julia-language
- artificial-intelligence
- bayesian-inference
- hamiltonian-monte-carlo
- turing
- bayesian-statistics
- mcmc
- hmc
- probabilistic-graphical-models
- probabilistic-models
Project record
- JobLocal LLMs
- StatusListed
- Commits3,574
- Forks252
- Watching47
- Stars in 28 days+5
- CreatedApr 29, 2016
- First seen by usNov 7, 2026
- CheckedNov 10, 2026