mobile-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Examples of Tensorflow Lite on Android

Commercial iOS fall detection app. Connects to a Polar H10 device for triaxial acceleromter and ECG signals. These signals are passed to a trained ResNet152 model using Tensorflow background processes for live inference.

Real-time, 100% on-device ADAS for Android: forward-collision, drivable-area segmentation, pedestrian, lane and traffic-sign warnings that self-tune from budget phones to flagships.

Measure the speed of your machine learning models on real devices!

A simple implementation of the Gaussian Naive Bayes algorithm in Android ( with Kotlin ).