This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
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Updated
Jan 23, 2023 - Jupyter Notebook
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
This is a web demo for camera-based PPG sensing (rPPG).
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
An Android app running inference on Depth-Anything and Depth-Anything-V2
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
Embeddings from sentence-transformers in Android! Uses all-MiniLM-L6-V2 model currently
Approach to implementing distributed training of an ML model on mobile devices.
End-to-end on-device federated learning, "An On-Device Federated Learning System for SMS Spam Classification", IEEE MIT URTC 2022
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.
Control your computer using hand gestures with AI, using Google's MediaPipe and OAK-D Lite camera.
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
This repository is meant to be a playground for mobile deep learning.
An Android app where users draw a number and machine learning does the rest
*Resource Efficient Federated Deep Learning for IoT Security Monitoring
#AndroidDevChallenge
As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
Rock-Paper-Scissors game, using On-Device MachineLearning.
A system for monitoring statistical data distribution shifts in distributed settings
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