Deep Learning > TensorFlow Lite
Framework that optimizes TensorFlow models for on-device machine learning.
Contents
Past announcements:
On-device training
Models with samples
Computer vision
| tutorial 1 | tutorial 2
| Blog post | Model card
| Realtime | Paper
| Paper
| Tutorial
| Overview | Android | Flutter
| Tutorial
| Tutorial
| Tutorial
| Tutorial
Computer vision / Detection
Computer vision / Generative
Post estimation
Other
Speech
Plugins and SDKs
A cross platform (mobile, desktop and Edge TPUs) AI pipeline by Google AI. (PM Ming Yong) | MediaPipe examples.
Provides a dart API similar to the TensorFlow Lite Java API for accessing TensorFlow Lite interpreter and performing inference in flutter apps. tflite_flutter on pub.dev.
Model zoo
ML Kit examples
Helpful links
A tool for visualizing models.
A repository showing non-trivial conversion processes and general explorations in TensorFlow Lite.
An Android-based app to profile TensorFlow Lite models and measure its performance on smartphone.
A repository refactors and rewrites all the TensorFlow Lite Android examples which are included in the TensorFlow official website.
A collection of Tensorflow Lite Android example Apps in Kotlin, to show different kinds of kotlin implementation of the example apps