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Name: Lawrence Lee
Type: User
Company: Beijing Jiaotong University
Bio: student of Beijing Jiaotong University@Beijing Jiaotong University
Name: Lawrence Lee
Type: User
Company: Beijing Jiaotong University
Bio: student of Beijing Jiaotong University@Beijing Jiaotong University
aibench framework
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
Extend cloud computing, data and service seamlessly to edge devices.
Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).
CoRE4INET is an extension to the INET-Framework for the event-based simulation of real-time Ethernet in the OMNEST/OMNeT++ simulation system.
含疫情官方数据爬虫、对微博主题关键词“疫情”爬虫(数据库)、对爬取数据的预处理及可视化,对微博疫情数据情感分析(含关于疫情的微博评论正负面语料)
A python package of Cross-edge Computation Offloading (CCO) algorithm and its distributed version, Decor for Mobile Edge Computing (MEC).
homework for CS294 Fall 2017
PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).
KDD'22 ''Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning''
Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
ECSNeT++ is a simulation framework built on OMNeT++ for Distributed Stream Processing applications running on Edge and Cloud computing environments.
Edge-Fog cloud simulator and LPCF task assignment calculator
Python-based modeling and simulation framework for Edge Computing resource management policies
A Toolkit to simulate distributed fog computing environment
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
Must-read papers on graph neural networks (GNN)
This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience of researchers
A curated list of graph reinforcement learning papers.
learning based mobile edge computing simulator
Implementation of the paper Learning to reinforcement learn(https://arxiv.org/abs/1611.05763)
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Paper list of multi-agent reinforcement learning (MARL)
Deep reinforcement learning for mobile edge computing
Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
The extracted files and dataset of publications’ metadata for the review papers under the title of "Task Offloading Paradigm in Mobile Edge Computing-Current Issues and Future Directions".
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment (NeurIPS 2023 oral)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.