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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 zero050May 18Nov 14, 2026vlawhern/arl-eegmodelsidealo/image-quality-assessment
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.5K2KMay 9Nov 14, 2026vlawhern/arl-eegmodelsidealo/image-quality-assessment

Facts

Fact vlawhern/arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

idealo/image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Stars 1,5912,241
Net stars, last 30 days +22+1
Largest star day +4 on Oct 29, 2026+1 on May 17, 2026
Milestone reached in the record NoneNone
Forks 336454
Language PythonPython
License Other licenseAPACHE-2.0
Created May 16, 2018Jun 12, 2018
Last push May 2, 2022Jul 12, 2024
Archived NoYes
Health facts: Maintenance 1 of 4 checks (2 without data)0 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 12, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: deep-learning, convolutional-neural-networks, keras, tensorflow. 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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