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Topics: probabilistic-programming

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2 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: probabilistic-programming
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1.pymc-devs / pymc

Bayesian Modeling and Probabilistic Programming in Python

python
statistical-analysis
bayesian-inference
mcmc
variational-inference
probabilistic-programming
+1 more

Python Other license9.8K total2.4K forks

+262 stars

from 9,565 · score 5.57

2.pyro-ppl / pyro

Deep universal probabilistic programming with Python and PyTorch

python
pytorch
machine-learning
bayesian
probabilistic-programming
bayesian-inference
+3 more

Python APACHE-2.09.1K total1K forks

+106 stars

from 8,966 · score 4.67

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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