linkedin/performance-quality-models

Personalizing Performance model repository

27
/ 100
Experimental

This project helps web and mobile application developers dynamically improve user experience by predicting how fast a page will load for a specific user. It takes device and network characteristics as input and outputs a prediction of whether the page load time will be 'good' or 'poor'. Application engineers can then use this information to adjust content quality, like image resolution or video autoplay, in real-time.

No commits in the last 6 months.

Use this if you want to proactively optimize your web or mobile application's performance for individual users based on their network and device conditions.

Not ideal if you only need network-specific measurements, as this tool provides a broader prediction of overall page load performance.

web-performance mobile-app-optimization user-experience content-delivery application-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

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31

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1

Language

Jupyter Notebook

License

BSD-2-Clause

Last pushed

Nov 21, 2022

Commits (30d)

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