Trending repositories for topic edge-computing
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...
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
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)
List of papers related to neural network quantization in recent AI conferences and journals.
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
[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...
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
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.
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
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 curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Tiny and powerful JavaScript full-text search engine for browser and Node
[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)
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...
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
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...
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
Kubernetes Native Edge Computing Framework (project under CNCF)
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.
[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
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
List of papers related to neural network quantization in recent AI conferences and journals.
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
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...
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...
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
Python Computer Vision & Video Analytics Framework With Batteries Included
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
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.
A small form factor OpenShift/Kubernetes optimized for edge computing
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, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
Tiny and powerful JavaScript full-text search engine for browser and Node
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
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...
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.
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.
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
Python Computer Vision & Video Analytics Framework With Batteries Included
[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...
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
sveltekit edge fullstack graphql with api crud + pages + worker + D1(with drizzle orm) + (supabase-postgres+ drizzle) + (neon-postgres+ drizzle) + kv crud + R2+ remote-proxy
List of papers related to neural network quantization in recent AI conferences and journals.
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
A Lightweight Hierarchical Orchestration Framework for Edge Computing
🗺🤖🚘🕹📡 An effective, easy-to-implement, and low-cost modular framework for completing complex navigation tasks.
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
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
Unchained is a decentralized, federated network for data indexing, validation, analysis, processing, and delivery.
EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition
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 cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Kubernetes Native Edge Computing Framework (project under CNCF)
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
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...
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
Python Computer Vision & Video Analytics Framework With Batteries Included
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
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.
[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...
⛓️RuleGo is a lightweight, high-performance, embedded, and scalable component orchestration rule engine framework based on the Go language. It is also an event framework that supports heterogeneous sy...
List of papers related to neural network quantization in recent AI conferences and journals.
Python Computer Vision & Video Analytics Framework With Batteries Included
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
Python-based modeling and simulation framework for Edge Computing resource management policies
Best practice in build a SaaS startup.I use it, and I recommend it.
An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup
Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC''
Resources of our survey paper "Enabling AI on Edges: Techniques, Applications and Challenges"
Real-time speech enhancement mobile app using Nested U-Net
implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing
Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/