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Stars gained: From Jun 18, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Jun 18, 2026 to Nov 3, 2026, each from zero01020Jun 18Nov 3, 2026uber-research/PPLMchiphuyen/stanford-tensorflow-tutorials
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 3, 2026uber-research/PPLMchiphuyen/stanford-tensorflow-tutorials

Facts

Factuber-research/PPLM

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

chiphuyen/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Stars1,15310,373
Net stars, last 30 days+1+1
Largest star day+1 on Jun 18, 2026+3 on Sep 29, 2026
Milestone reached in the recordNoneNone
Forks2044,225
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedNov 5, 2019Nov 5, 2016
Last pushFeb 20, 2024Dec 22, 2020
ArchivedNoYes
Health facts: Maintenance1 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (2 without data)1 of 3 checks (1 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: machine-learning, deep-learning, natural-language-processing, nlp. 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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