amitshekhariitbhu/Android-TensorFlow-Lite-Example

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

ncnn android nanodet lightweight object detection

The squeezenet image classification android example

LiteRT and LiteRT-LM sample apps, model recipes, agent skills and utilities.

The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

ncnn android yolo11 realtime detection, segmentation, pose estimation, classification and obb

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.

🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration