A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.

This repository is an implementation of converting the YOLOv10 object detection model to LiteRT (.tflite) format and deploy it on Android using Google AI Edge for on-device inference.

Image Classification, Image Captioning and LLM inference with LiteRT

on-device sensitive content blocker for Android. Works across any app powered by a custom-trained on-device AI model.

Graph-based C++ runtime for building and executing AI, ML, and computer vision pipelines across devices.

A hardware implementation of quantized neural network inference in the PyRTL hardware description language.

A set of tools and examples for converting and utilizing powerful vision models, DINOv3 and EdgeTAM (SAM2), within the ONNX ecosystem.

A list of production-ready models for resource-constrained devices.

Run LLM inference in an Android app with llama.cpp, ExecuTorch, LiteRT, ONNX, and more.

Web AI Test

An Android AI Agent (toy project) combining a native C++ daemon with AI capabilities.

Flutter + LiteRT/tflite demo for obj detection

A maternal health platform empowering ASHA workers with smart data tools to detect high-risk pregnancies, deliver personalized dietary advice, and ensure safer outcomes in rural India.

Edge Agent Lab is an Android testing platform for evaluating small language model (SLM) agents directly on mobile devices.

LiteRT-LM model inference support for Unity Android and Meta Quest apps.

The core of LiteRT.

MedGEM brings Google's MedGemma and MedASR to offline Android devices for private, multimodal clinical support anywhere.

An intelligent mentor and coach for goal tracking, habit building, and personal development.

Python client for benchmarking and validating ML models on real devices via RunLocal API.