There are 1 repository under on-device-ai topic.
[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
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
Source code for my blog post series "On-device training with Core ML"
This is a web demo for camera-based PPG sensing (rPPG).
Binary Neural Network on IceStick FPGA.
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
A Google Photos alternative, where your pictures never leave your phone! Classification happens on-device, leveraging pre-trained models. Available for Android and iOS.
2022 D.Com 동아리 대항전 Team "AEye" - Android Native App 개발을 위한 Repo.
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
Firebase MLkit vision demo app