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Stars gained: From Oct 22, 2026 to Nov 14, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 14, 2026, each from zero012Oct 22Nov 14, 2026krasserm/super-resolutionsarus-tech/tf2-published-models
Stars: The star count at the end of each dayStarsThe star count at the end of each day01KJul 20Nov 14, 2026krasserm/super-resolutionsarus-tech/tf2-published-models

Facts

Fact krasserm/super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

sarus-tech/tf2-published-models

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

Stars 1,51437
Net stars, last 30 days +1Not recorded
Largest star day +1 on Jul 20, 2026Not recorded
Milestone reached in the record NoneNone
Forks 3417
Language PythonPython
License APACHE-2.0APACHE-2.0
Created Oct 17, 2018Jul 6, 2020
Last push May 13, 2022Sep 23, 2021
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 (2 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 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: keras, tensorflow, tensorflow2. 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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