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pymc-devs
13 indexed repositories · View on GitHub
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pymc
Bayesian Modeling and Probabilistic Programming in Python
Python · 9759 stars
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pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Python · 644 stars
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pymc-examples
Examples of PyMC models, including a library of Jupyter notebooks.
Python · 398 stars
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nutpie
Python wrapper for nuts-rs
Python · 207 stars
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Python · 156 stars
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pymc-extras
Powerful add-ons for PyMC
Jupyter Notebook · 143 stars
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nuts-rs
A implementation of NUTS in rust
Rust · 109 stars
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pytensor-ml
Neural Network package built on Pytensor
Python · 9 stars
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bartrs
High-performance Rust-based particle Gibbs sampler for Bayesian additive regression trees
Rust · 8 stars
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ptgp
GPs in PyTensor
Jupyter Notebook · 8 stars
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Python · 6 stars
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pytensor-distributions
PyTensor powered distributions
Python · 5 stars
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Python · 4 stars
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Difficulty 2/5 1-3 hours Newbie friendliness 86/100
pymc-devs/pytensor-ml#164 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 78/100
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Difficulty 5/5 Over a week Newbie friendliness 45/100
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enhancement refactor
Difficulty 4/5 3-5 days Newbie friendliness 55/100
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bug indexing mlx
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
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enhancement pytensor
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
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enhancement linalg numba
Difficulty 3/5 1-2 days Newbie friendliness 84/100
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Difficulty 3/5 1-2 days Newbie friendliness 64/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 2/5 1-3 hours Newbie friendliness 72/100
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Difficulty 3/5 1-2 days Newbie friendliness 62/100
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OpFromGraph shape inference vectorization
Difficulty 3/5 1-2 days Newbie friendliness 68/100
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Difficulty 1/5 Under an hour Newbie friendliness 95/100
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Difficulty 2/5 1-3 hours Newbie friendliness 76/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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graph rewriting performance vectorization
Difficulty 3/5 1-2 days Newbie friendliness 68/100
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graph rewriting linalg performance
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
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docs
Difficulty 2/5 1-3 hours Newbie friendliness 83/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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Difficulty 2/5 1-3 hours Newbie friendliness 78/100
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Difficulty 4/5 3-5 days Newbie friendliness 68/100
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Difficulty 3/5 1-2 days Newbie friendliness 72/100
pymc-devs/pymc-extras#764 · 1 comment ·
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bug
Difficulty 3/5 1-2 days Newbie friendliness 48/100
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
pymc-devs/pymc-extras#758 ·
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bug
Difficulty 4/5 3-5 days Newbie friendliness 52/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
pymc-devs/pymc-extras#755 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
pymc-devs/pymc-extras#754 · 2 comments ·
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maintenance refactor
Difficulty 4/5 3-5 days Newbie friendliness 50/100
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feature request
Difficulty 4/5 3-5 days Newbie friendliness 55/100
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enhancement pytensor
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
pymc-devs/pytensor-ml#135 · 1 comment ·
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enhancement layer
Difficulty 3/5 1-2 days Newbie friendliness 72/100
pymc-devs/pytensor-ml#127 · 1 comment ·
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enhancement optimizer
Difficulty 4/5 3-5 days Newbie friendliness 72/100
pymc-devs/pytensor-ml#122 · 1 comment ·
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bug layer
Difficulty 3/5 1-2 days Newbie friendliness 72/100
pymc-devs/pytensor-ml#120 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 84/100
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bug gradients indexing mlx
Difficulty 3/5 1-2 days Newbie friendliness 68/100
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enhancement help wanted linalg mlx
Difficulty 5/5 Over a week Newbie friendliness 30/100
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feature request inference
Difficulty 3/5 1-2 days Newbie friendliness 68/100
pymc-devs/pymc-extras#752 ·
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backend compatibility bug mlx
Difficulty 3/5 1-2 days Newbie friendliness 70/100
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Difficulty 1/5 Under an hour Newbie friendliness 90/100
pymc-devs/pymc-extras#751 ·
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Difficulty 1/5 Under an hour Newbie friendliness 88/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 65/100
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enhancement
Difficulty 3/5 1-2 days Newbie friendliness 68/100
pymc-devs/pytensor-ml#109 ·
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bug
Difficulty 3/5 1-2 days Newbie friendliness 65/100
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Difficulty 3/5 1-2 days Newbie friendliness 70/100
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numba performance
Difficulty 4/5 3-5 days Newbie friendliness 50/100
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bug shape inference
Difficulty 3/5 1-2 days Newbie friendliness 68/100
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bug torch
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
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enhancement graph rewriting performance scan
Difficulty 3/5 1-2 days Newbie friendliness 58/100
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Difficulty 5/5 Over a week Newbie friendliness 38/100
pymc-devs/pymc-examples#891 ·
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