Tensorflow Lite
Showing 11 of 11 projects
An open-source, programmable machine vision camera platform that runs Python and supports AI models like TensorFlow.
A curated collection of TensorFlow Lite models, sample apps, tools, and learning resources for mobile and edge AI development.
An Android Input Method Editor (IME) providing offline voice recognition and translation using the Whisper engine.
A Flutter plugin providing fast, flexible TensorFlow Lite inference with multi-platform delegate support.
A toolkit for developing and deploying TensorFlow Lite models on mobile and IoT devices with cross-platform support.
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 community-driven collection of end-to-end tutorials for creating and deploying TensorFlow Lite models on mobile devices.
A collection of refactored, high-quality Android examples demonstrating TensorFlow Lite for on-device machine learning tasks.
Kotlin implementations of TensorFlow Lite example Android apps for on-device machine learning.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
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