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Stars gained: From Oct 22, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 3, 2026, each from zero00.51Oct 22Nov 3, 2026bupt-ai-cz/Meta-SelfLearningProject-AgML/AgML
Stars: The star count at the end of each dayStarsThe star count at the end of each day200300Apr 26Nov 3, 2026bupt-ai-cz/Meta-SelfLearningProject-AgML/AgML

Facts

Factbupt-ai-cz/Meta-SelfLearning

Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

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.

Stars204350
Net stars, last 30 daysNot recorded+4
Largest star dayNot recorded+7 on Aug 17, 2026
Milestone reached in the recordNoneNone
Forks554
LanguagePythonPython
LicenseNo licenseAPACHE-2.0
CreatedJun 17, 2021Oct 29, 2021
Last pushApr 25, 2025Oct 22, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (2 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 files0 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: dataset, computer-vision. 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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