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Stars gained: From Oct 22, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 4, 2026, each from zero050100Oct 22Nov 4, 2026DFKI-NLP/gevalmstas00/ml-engineering
Stars: The star count at the end of each dayStarsThe star count at the end of each day010K20KApr 26Nov 4, 2026DFKI-NLP/gevalmstas00/ml-engineering

Facts

FactDFKI-NLP/gevalm

Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)

stas00/ml-engineering

Machine Learning Engineering Open Book

Stars719,664
Net stars, last 30 daysNot recorded+371
Largest star dayNot recorded+182 on Oct 5, 2026
Milestone reached in the recordNoneNone
Forks21,302
LanguagePythonPython
LicenseNo licenseCC-BY-SA-4.0
CreatedMay 6, 2020Sep 2, 2020
Last pushJun 12, 2023Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 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 files0 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeksNo data141
Weeks with commits, last 52No data27 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: transformers. 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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