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Stars gained: From Oct 22, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 3, 2026, each from zero024Oct 22Nov 3, 2026google-research/bertIBM/MAX-Toxic-Comment-Classifier
Stars: The star count at the end of each dayStarsThe star count at the end of each day020K40KApr 25Nov 3, 2026google-research/bertIBM/MAX-Toxic-Comment-Classifier

Facts

Factgoogle-research/bert

TensorFlow code and pre-trained models for BERT

IBM/MAX-Toxic-Comment-Classifier

Detect 6 types of toxicity in user comments.

Stars40,03656
Net stars, last 30 days+8Not recorded
Largest star day+6 on Jun 23, 2026Not recorded
Milestone reached in the recordNoneNone
Forks9,65330
LanguagePythonPython
LicenseAPACHE-2.0APACHE-2.0
CreatedOct 25, 2018May 24, 2019
Last pushJul 23, 2024Sep 17, 2025
ArchivedYesYes
Health facts: Maintenance0 of 4 checks0 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files2 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks0No data
Weeks with commits, last 520 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: nlp, natural-language-processing, natural-language-understanding. 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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