Trending repositories for topic edge-computing
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
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 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
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
[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...
List of papers related to neural network quantization in recent AI conferences and journals.
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
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...
[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...
List of papers related to neural network quantization in recent AI conferences and journals.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Kubernetes Native Edge Computing Framework (project under CNCF)
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...
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
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...
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 ti...
Tiny and powerful JavaScript full-text search engine for browser and Node
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
List of papers related to neural network quantization in recent AI conferences and journals.
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend 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 256K...
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
Python Computer Vision & Video Analytics Framework With Batteries Included
A small form factor OpenShift/Kubernetes optimized for edge computing
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Collection of Intel device plugins for Kubernetes
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.
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...
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
[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...
Python Computer Vision & Video Analytics Framework With Batteries Included
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
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
⛓️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...
Kubernetes Native Edge Computing Framework (project under CNCF)
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
List of papers related to neural network quantization in recent AI conferences and journals.
Python Computer Vision & Video Analytics Framework With Batteries Included
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
[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...
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
Collection of Intel device plugins for Kubernetes
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
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!)
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization
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.
sveltekit edge fullstack graphql with api crud + pages + worker + D1(with drizzle orm) + (supabase-postgres+ drizzle) + (neon-postgres+ drizzle) + kv crud + R2+ remote-proxy
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...
A IOT-Server,The tree root supports devices and data management, and the upper tree supports to combine various business functions by message flow
implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing
List of papers related to neural network quantization in recent AI conferences and journals.
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
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.
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
Unchained is a decentralized, federated network for data indexing, validation, analysis, processing, and delivery.
Customizable and efficient tool for distributed measurement of energy consumption. (works in local too!)
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech ...
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.
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
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...
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.
Best practices for building a SaaS startup. I use it and recommend it.
Python Computer Vision & Video Analytics Framework With Batteries Included
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
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.
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.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
sveltekit edge fullstack graphql with api crud + pages + worker + D1(with drizzle orm) + (supabase-postgres+ drizzle) + (neon-postgres+ drizzle) + kv crud + R2+ remote-proxy
⛓️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.
Containerized Development Environment Manager for embedded development
Resources of our survey paper "A Comprehensive Survey on AI Integration at the Edge: Techniques, Applications, and Challenges"
Python-based modeling and simulation framework for Edge Computing resource management policies
A IOT-Server,The tree root supports devices and data management, and the upper tree supports to combine various business functions by message flow
Simulation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing"
A Lightweight Hierarchical Orchestration Framework for Edge Computing
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization