pymc-devs/bartrs
View on GitHubHigh-performance Rust-based particle Gibbs sampler for Bayesian additive regression trees
- Stars
- 8
- Forks
- 1
- Open beginner issues
- 0
- Indexed issues
- 7
- Dominant language
- Rust
- License
- No license data
- Last GitHub push
- Aug 16, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- good first issue
- PR merge metrics
- No merged PRs in 30d
7 open issues indexed
Loading issues
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enhancement
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
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enhancement
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documentation good first issue
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Tests for resampling Opengood first issue
Difficulty 3/5 1-2 days Newbie friendliness 72/100
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good first issue
Difficulty 2/5 1-3 hours Newbie friendliness 64/100
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good first issue
Difficulty 2/5 1-3 hours Newbie friendliness 78/100