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Stars gained: From Jun 1, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Jun 1, 2026 to Nov 4, 2026, each from zero0100200Jun 1Nov 4, 2026OpenMOSS/MOSSshawnwun/RNNLG
Stars: The star count at the end of each dayStarsThe star count at the end of each day05K10KApr 26Nov 4, 2026OpenMOSS/MOSSshawnwun/RNNLG

Facts

FactOpenMOSS/MOSS

An open-source, tool-augmented conversational language model from Fudan University

shawnwun/RNNLG

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Stars12,341491
Net stars, last 30 days+910
Largest star day+11 on Jul 18, 2026+1 on Jun 1, 2026
Milestone reached in the recordNoneNone
Forks1,130125
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedApr 15, 2023Aug 19, 2016
Last pushSep 6, 2026Jul 2, 2019
ArchivedNoNo
Health facts: Maintenance3 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks2No data
Weeks with commits, last 523 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, dialogue-systems, natural-language-processing. 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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