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Stars gained: From Sep 27, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Sep 27, 2026 to Nov 3, 2026, each from zero01KSep 27Nov 3, 2026PSRben/VisionHOPEProject-AgML/AgML
Stars: The star count at the end of each dayStarsThe star count at the end of each day01KApr 26Nov 3, 2026PSRben/VisionHOPEProject-AgML/AgML

Facts

FactPSRben/VisionHOPE

Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.

Project-AgML/AgML

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Stars1,402350
Net stars, last 30 days+993+4
Largest star day+140 on Oct 22, 2026+7 on Aug 17, 2026
Milestone reached in the record1,000 on Oct 23, 2026None
Forks4254
LanguagePythonPython
LicenseMITAPACHE-2.0
CreatedSep 27, 2026Oct 29, 2021
Last pushOct 12, 2026Oct 22, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)2 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 23, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: computer-vision, image-classification. 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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