218 Open source projects that are alternatives of or similar to sense-iOS

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

An iOS app that can detect a dog and determine its breed from an image or video feed.

Deep learning gateway on Raspberry Pi and other edge devices

AdvantEDGE, Mobile Edge Emulation Platform

Types and mocks for building a tested Typescript Cloudflare Worker, generates three NPM packages

microblx: real-time, embedded, reflective function blocks.

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

YOLOv3 for iOS implemented using CoreML.

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

A sensor fusion approach to the recognition of microgestures.

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

The example of running Depth Prediction using Core ML

C++ code generator for uTensor https://utensor-cgen.readthedocs.io/en/latest/

🌅 iOS11 demo application for visual sentiment prediction.

SparkFun's Edge Development Board is based around the newest edge technology and is perfect for getting your feet wet with voice and even gesture recognition without relying on 3rd party cloud services.

Create ML playgrounds for building machine learning models. For developers and data scientists.

ops - build and run nanos unikernels

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

Kubernetes Native Edge Computing Framework (project under CNCF)

Managed Machine Learning Systems and Internet of Things Live Lesson

A lightweight IoT edge analytics software

CarLens - Recognize and Collect Cars

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Detect various irregularities of a product as it moves along a conveyor belt.

Security camera with Raspberry pi and NVIDIA Jetson platforms

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

A Big Awesome List CoreML Models.

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

Gesture Recognition For Human-Robot Interaction with modelling, training, analysing and recognising gestures based on computer vision and machine learning techniques. This work was done at Distributed Artificial Intelligence Lab (DAI Labor), Berlin.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

The challenge projects for Inferencing machine learning models on iOS

FreeIOE is a framework for building IOE (Internet Of Everything) edge-computing gateway 开源的边缘计算网关框架. 讨论群: 291292378

The core runtime engine for Ambianic Edge devices.

How to run Keras model inference x3 times faster with CPU and Intel OpenVINO

BSP and examples to integrate the SparkFun TensorFlow board with the AmbiqSuite

realness.online

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).

A zenoh plug-in that allows to transparently route DDS data. This plugin can be used by DDS applications, such as ROS2 robotic applications and others, to leverage the zenoh for geographical routing or for better scaling discovery.

Control lights in the physical world from the augmented world using hand gestures. Using Magic Leap Hand Poses (Gestures) and PubNub.

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

Developed a pipeline to remotely control appliances using minimal face gestures and neck movements.

A distributed ledger for the p2p and decentralized IoT devices in JavaScript.

TriangleGAN, ACM MM 2019.

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

Kubernetes controller for labelling a node with devicetree properties

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

An Edge-computing platform based on Wi-Fi routers

Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing

A flexible configuration manager for Wireguard networks

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Element detection with Vision Framework and CoreML

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

Showcase of various extension scenarios for SAP IoT Edge, intelligent edge computing software that provides "microservices at the edge" for Internet of Things (IoT).

Open source device management for embedded systems and edge computing