lawmurray / Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Birch is a probabilistic programming language featuring automatic marginalization, automatic conditioning, automatic differentiation, and inference algorithms based on Sequential Monte Carlo (SMC). The Birch language transpiles to C++.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 47 days ago
- Stars
- 125
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.1.6
- Released 2 years ago
- Built with
- C++
- 83% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 62% closed
- 3 still open
- Pull requests
- 15 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 83%
- M4 13%
- Makefile 2%
- Shell 1%
Topics
- autodiff
- bayesian
- bayesian-inference
- bayesian-methods
- bayesian-statistics
- data-science
- machine-learning
- machine-learning-algorithms
- machine-learning-projects
- monte-carlo-methods
- monte-carlo-sampling
- probabilistic-programming-languages
Project record
- JobOther AI tools
- StatusListed
- Commits5,241
- Forks14
- Watching14
- Stars in 28 days0
- CreatedDec 29, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026