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Stars gained: From Jun 18, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Jun 18, 2026 to Nov 4, 2026, each from zero0123Jun 18Nov 4, 2026shawnwun/RNNLGuber-research/PPLM
Stars: The star count at the end of each dayStarsThe star count at the end of each day5001KJun 1Nov 4, 2026shawnwun/RNNLGuber-research/PPLM

Facts

Factshawnwun/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.

uber-research/PPLM

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

Stars4911,153
Net stars, last 30 days0+1
Largest star day+1 on Jun 1, 2026+1 on Jun 18, 2026
Milestone reached in the recordNoneNone
Forks125204
LanguagePythonPython
LicenseOther licenseAPACHE-2.0
CreatedAug 19, 2016Nov 5, 2019
Last pushJul 2, 2019Feb 20, 2024
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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