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Stars gained: From May 18, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 14, 2026, each from zero01020May 18Nov 14, 2026sniklaus/3d-ken-burnschainer/chainer
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4K6KMay 8Nov 14, 2026sniklaus/3d-ken-burnschainer/chainer

Facts

Fact sniklaus/3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

chainer/chainer

A flexible framework of neural networks for deep learning

Stars 1,5805,916
Net stars, last 30 days +40
Largest star day +2 on Oct 1, 2026+2 on Jun 14, 2026
Milestone reached in the record NoneNone
Forks 2221,336
Language PythonPython
License Other licenseMIT
Created Nov 19, 2019Jun 5, 2015
Last push Jun 1, 2026Aug 28, 2023
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: python, cuda, deep-learning, cupy. 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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