Binary Neural Network on IceStick FPGA.

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

SponsorMe is a project to help provide access to digital tools for learning, powered by on-device machine learning, innovation and willingness, to those people that have limited access to technology due to demographics, disabilities, economy or other multiple reasons.

A python framework for designing high-performance Computer Vision pipelines at the Edge. Supports Coral Edge TPU, Raspberry Pi Camera, and more.

Firebase MLkit vision demo app

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

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

A Google Photos alternative, where your pictures never leave your phone! Classification happens on-device, leveraging pre-trained models. Available for Android and iOS.

Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.

BLOCKSET: Efficient out of core tree ensemble inference

2022 D.Com 동아리 대항전 Team "AEye" - Android Native App 개발을 위한 Repo.

Object detection inference with Roboflow Train models on NVIDIA Jetson devices.

[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.

This project implements a complete offline RAG-Fusion application for text generation and retrieval, leveraging efficient local resources.

Double Quantization Experiment: Quantizing a Quantized model for On-device Deployment

TinyChatEngine: On-Device LLM Inference Library

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

Kotlin bindings for Edgerunner