#Edge-computing
Showing 60 of 99 repositories tagged #edge-computing, ranked by stars
High-Performance server for NATS.io, the cloud and edge native messaging system.
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
Kubernetes Native Edge Computing Framework (project under CNCF)
🏖️ A serverless, open-source file hosting solution built on Cloudflare. Supports image hosting, secure file storage, and personal cloud drive capabilities.
Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.
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.
IoT Platform Framework
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
TinyML AI inference library
Extend cloud computing, data and service seamlessly to edge devices.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
SonicJS - The edge-native headless CMS for Cloudflare Workers. Sub-100ms response times, zero cold starts, TypeScript-first. Built on D1, R2, and Hono.
Deep learning gateway on Raspberry Pi and other edge devices
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
ops - build and run nanos unikernels
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
☁️ Securely connect anything with WireGuard® and manage all your networks from a single place.
An edge-native container management system for edge computing
GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS with Multi-Reward Reinforcement Learning
Deploy app servers close to your users. Package your app as a Docker image, and launch it in 17 cities with one simple CLI.
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
TinyChatEngine: On-Device LLM Inference Library
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
A small form factor OpenShift/Kubernetes optimized for edge computing
Python Computer Vision & Video Analytics Framework With Batteries Included
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
IoT DC3 — open-source, cloud-native industrial IoT platform. Multi-protocol device access, data collection & management with 28 drivers, Spring Cloud, gRPC, and native LLM integration.
AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.
🚧 What...? Skeet is evolving to SLV!
A curated list of resources for embedded AI
an edge-real-time anchor-free object detector with decent performance
A streaming multimodal database for Edge AI, and Edge Computing.
Open Neural Network Exchange to C compiler.
Best practices for building a SaaS startup. I use it and recommend it.
Self-healing edge computing agent with predictive failure detection and partition-resilient orchestration for Kubernetes
This is home of Das Schiff - Deutsche Telekom Technik's engine for Kubernetes Cluster as a Service (CaaS) in on-premise environment on top of bare-metal servers and VMs.
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
Inference Vision Transformer (ViT) in plain C/C++ with ggml
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
Record a chess game live and upload the PGN to Lichess
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Independent research white paper by Jon “GainSec” Gaines examining the security posture of a connected public safety technology ecosystem.
A powerful, privacy-friendly open source web analytics tool that runs entirely on Cloudflare.
😎 Next.js 13 App Router Examples
CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.
Bring ThingsBoard to the edge. Filter, aggregate, and compute locally to cut bandwidth costs and reduce latency, pushing intelligence to the field while keeping the cloud in sync.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU, autoscaling, air-gapped, production-ready.
Template (boilerplate) repository for scaffolding Cloudflare Workers projects
Containerized Development Environment Manager for embedded development
An agent small enough to run anywhere. A minimal agentic runtime in C — ~380 lines, 54KB binary, ~2MB RAM. A skill file + an LLM + a shell loop, no framework.
The core runtime engine for Ambianic Edge devices.
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.
Source code for my blog post series "On-device training with Core ML"
Simple document db made for infinitely scalable globally distributed reads.
Open source robot vision framework for edge devices
Energy Management Using Real-Time Non-Intrusive Load Monitoring