Trending repositories for topic edge-computing
Tiny and powerful JavaScript full-text search engine for browser and Node
Kubernetes Native Edge Computing Framework (project under CNCF)
List of papers related to neural network quantization in recent AI conferences and journals.
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
List of papers related to neural network quantization in recent AI conferences and journals.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Tiny and powerful JavaScript full-text search engine for browser and Node
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
Kubernetes Native Edge Computing Framework (project under CNCF)
Best practices for building a SaaS startup. I use it and recommend it.
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
Tiny and powerful JavaScript full-text search engine for browser and Node
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, sm...
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Kubernetes Native Edge Computing Framework (project under CNCF)
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
List of papers related to neural network quantization in recent AI conferences and journals.
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 ti...
🦖 Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.
The full-stack edge platform for your edge oriented applications.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Python Computer Vision & Video Analytics Framework With Batteries Included
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
The full-stack edge platform for your edge oriented applications.
Best practices for building a SaaS startup. I use it and recommend it.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
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.
List of papers related to neural network quantization in recent AI conferences and journals.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
Tiny and powerful JavaScript full-text search engine for browser and Node
Python Computer Vision & Video Analytics Framework With Batteries Included
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 ti...
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, sm...
Tiny and powerful JavaScript full-text search engine for browser and Node
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 ti...
Best practices for building a SaaS startup. I use it and recommend it.
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
Kubernetes Native Edge Computing Framework (project under CNCF)
List of papers related to neural network quantization in recent AI conferences and journals.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
🦖 Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
Python Computer Vision & Video Analytics Framework With Batteries Included
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
[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 256K...
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained
The full-stack edge platform for your edge oriented applications.
Best practices for building a SaaS startup. I use it and recommend it.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"
List of papers related to neural network quantization in recent AI conferences and journals.
A IOT-Server,The tree root supports devices and data management, and the upper tree supports to combine various business functions by message flow
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Python-based modeling and simulation framework for Edge Computing resource management policies
Collection of Intel device plugins for Kubernetes
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 ti...
sveltekit edge fullstack graphql with api crud + pages + worker + D1(with drizzle orm) + (supabase-postgres+ drizzle) + (neon-postgres+ drizzle) + kv crud + R2+ remote-proxy
A qualitative compilation of production-ready frameworks, services and repositories with a focus on Edge Computing & IoT
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
Building Simple versions of AI (ML, DL, NN) models from scratch to help grasp the concepts
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.
Customizable and efficient tool for distributed measurement of energy consumption. (works in local too!)
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR...
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, sm...
Tiny and powerful JavaScript full-text search engine for browser and Node
Kubernetes Native Edge Computing Framework (project under CNCF)
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
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 ti...
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 acce...
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Best practices for building a SaaS startup. I use it and recommend it.
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
List of papers related to neural network quantization in recent AI conferences and journals.
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
Python Computer Vision & Video Analytics Framework With Batteries Included
Best practices for building a SaaS startup. I use it and recommend it.
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.
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 acce...
A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
A Zenoh plug-in for ROS2 with a DDS RMW. See https://discourse.ros.org/t/ros-2-alternative-middleware-report/ for the advantages of using this plugin over other DDS RMW implementations.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
List of papers related to neural network quantization in recent AI conferences and journals.
sveltekit edge fullstack graphql with api crud + pages + worker + D1(with drizzle orm) + (supabase-postgres+ drizzle) + (neon-postgres+ drizzle) + kv crud + R2+ remote-proxy
Containerized Development Environment Manager for embedded development
A IOT-Server,The tree root supports devices and data management, and the upper tree supports to combine various business functions by message flow
Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"
Python-based modeling and simulation framework for Edge Computing resource management policies
Simulation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing"
An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup