on-device-deep-learning

On-device AI recipes for building private, real-time applications with production-grade voice, language, and vision SDKs. Ready-to-use, open-source code examples.

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

HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices for Human Activity Recognition

Official code repo of SEC'23 paper: Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".

This repository contains the code to create on-device machine learning models for species classification.

This project is simple training tensorflowlite on mobile device - android for braintumor classification

Official code repo of SEC'25 paper: PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search

Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI

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

Predict Gender in real time by showing your hand in your camera.

Custom core models with updatable layers for on device learning