on-device-ai

Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

TinyChatEngine: On-Device LLM Inference Library

Android on_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK 🧒 离线版设备端Android1:1人脸识别 动作活体、静默活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装。全程可开飞行模式不用联网

On-device Neural Engine

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

A ready-to-use, minimal app that converts any speech into text.

Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.

AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.

Android Input Method Editor (IME) based on Whisper

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

电子鹦鹉 / Toy Language Model

Source code for my blog post series "On-device training with Core ML"

Recipes for on-device voice AI and local LLM

This is a web demo for camera-based PPG sensing (rPPG).

Simplified AI runtime integration for mobile app development

Binary Neural Network on IceStick FPGA.