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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 zero01K2KApr 26Nov 3, 2026tensorflow/tensor2tensorray-project/ray
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 3, 2026tensorflow/tensor2tensorray-project/ray

Facts

Facttensorflow/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Stars17,47244,184
Net stars, last 30 days+10+257
Largest star day+10 on Jun 17, 2026+23 on May 8, 2026
Milestone reached in the recordNoneNone
Forks3,8058,238
LanguagePythonPython
LicenseAPACHE-2.0APACHE-2.0
CreatedJun 15, 2017Oct 25, 2016
Last pushJun 2, 2023Nov 3, 2026
ArchivedYesNo
Health facts: Maintenance0 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 of 3 checks (3 without data)1 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)2 of 3 checks
Commits, last 13 weeksNo data1,123
Weeks with commits, last 52No data52 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, deep-learning, reinforcement-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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