Firebase MLkit vision demo app
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Updated
Sep 12, 2020 - Java
Firebase MLkit vision demo app
2022 D.Com 동아리 대항전 Team "AEye" - Android Native App 개발을 위한 Repo.
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.
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
A python framework for designing high-performance Computer Vision pipelines at the Edge. Supports Coral Edge TPU, Raspberry Pi Camera, and more.
BLOCKSET: Efficient out of core tree ensemble inference
A Google Photos alternative, where your pictures never leave your phone! Classification happens on-device, leveraging pre-trained models. Available for Android and iOS.
Recipes for on-device voice AI and local LLM
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
Source code for my blog post series "On-device training with Core ML"
Binary Neural Network on IceStick FPGA.
AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
This is a web demo for camera-based PPG sensing (rPPG).
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
TinyChatEngine: On-Device LLM Inference Library
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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