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Stars gained: From Jun 12, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Jun 12, 2026 to Nov 3, 2026, each from zero02550Jun 12Nov 3, 2026christophmark/bayesloopddbourgin/numpy-ml
Stars: The star count at the end of each dayStarsThe star count at the end of each day010KApr 26Nov 3, 2026christophmark/bayesloopddbourgin/numpy-ml

Facts

Factchristophmark/bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

ddbourgin/numpy-ml

Machine learning, in numpy

Stars17216,325
Net stars, last 30 days0+9
Largest star day+1 on Jun 12, 2026+3 on Apr 27, 2026
Milestone reached in the recordNoneNone
Forks313,731
LanguagePythonPython
LicenseMITGPL-3.0
CreatedAug 27, 2015Apr 6, 2019
Last pushJun 19, 2026Oct 29, 2023
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases2 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data0
Weeks with commits, last 52No data0 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: bayesian-inference. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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