On Device Ml
Showing 5 of 5 projects
Cross-platform framework for building customizable on-device machine learning pipelines for live and streaming media.
A Flutter plugin for integrating Firebase ML Kit's on-device and cloud machine learning features into mobile apps.
A collection of Jupyter notebooks demonstrating TensorFlow Lite model quantization, conversion, and optimization techniques for deep neural networks.
A Capacitor plugin for Google ML Kit Vision, enabling on-device face detection and facial feature analysis in mobile apps.
Capacitor plugin for on-device language identification using Google's ML Kit on Android and iOS.
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