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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0100Apr 26Nov 3, 2026NVIDIAGameWorks/kaolinfacebookresearch/fairseq
Stars: The star count at the end of each dayStarsThe star count at the end of each day20KApr 25Nov 3, 2026NVIDIAGameWorks/kaolinfacebookresearch/fairseq

Facts

FactNVIDIAGameWorks/kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

facebookresearch/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Stars5,19132,210
Net stars, last 30 days+12+9
Largest star day+4 on May 6, 2026+5 on May 12, 2026
Milestone reached in the recordNoneNone
Forks6286,666
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedNov 14, 2019Aug 29, 2017
Last pushOct 25, 2026Sep 30, 2025
ArchivedNoYes
Health facts: Maintenance2 of 4 checks (2 without data)0 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)2 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 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: pytorch, artificial-intelligence. 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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