80 Open source projects that are alternatives of or similar to Paradrop

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

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.

A flexible configuration manager for Wireguard networks

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

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

Managed Machine Learning Systems and Internet of Things Live Lesson

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

A framework for trace-driven simulation of serverless Function-as-a-Service platforms

Kubernetes Native Edge Computing Framework (project under CNCF)

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

Deep learning gateway on Raspberry Pi and other edge devices

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

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)

The core runtime engine for Ambianic Edge devices.

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

Lightweight data stream processing engine for IoT edge

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

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

ops - build and run nanos unikernels

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

A lightweight IoT edge analytics software

Microsoft Cloud Workshop Asia for Intelligent Cloud / Intelligent Edge

Security camera with Raspberry pi and NVIDIA Jetson platforms

A curated list of resources for embedded AI

Extend cloud computing, data and service seamlessly to edge devices.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.

Industrial IoT Messaging and Device Management Platform

zenoh client library written in C and targeting micro-controllers.

Simple document db made for infinitely scalable globally distributed reads.

Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

TinyML AI inference library

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

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

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

FogFlow is a standard-based IoT fog computing framework that supports serverless computing and edge computing with advanced programming models

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

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

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

Deploy app servers close to your users. Package your app as a Docker image, and launch it in 17 cities with one simple CLI.

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

OpenYurt - Extending your native Kubernetes to edge(project under CNCF)

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

macchina.io IoT Edge Device SDK is a powerful C++ and JavaScript SDK for edge devices, IoT gateways and connected embedded systems.

Simulate the real environment, perform edge computing, edge caching experiments

🚀 The fastest WebAssembly interpreter, and the most universal runtime

Open source device management for embedded systems and edge computing

🦖 Streaming-Serverless Framework for Low-latency Edge Computing applications, running atop QUIC protocol, engaging 5G technology.

AdvantEDGE, Mobile Edge Emulation Platform

ObjectBox is a superfast lightweight database for objects

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Community gathering point for Google Coral dev board and dongle knowledge.

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

Haiway Edge Computing OS

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

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

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

DuEdge百度边缘网络计算样例代码

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