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aibench_framework

aibench framework

awesome-edge-computing

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

baetyl

Extend cloud computing, data and service seamlessly to edge devices.

coord-sim

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

core4inet

CoRE4INET is an extension to the INET-Framework for the event-based simulation of real-time Ethernet in the OMNEST/OMNeT++ simulation system.

covid-analsis-and-visualization

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）

cross-edge-computation-offloading

A python package of Cross-edge Computation Offloading (CCO) algorithm and its distributed version, Decor for Mobile Edge Computing (MEC).

cs294

homework for CS294 Fall 2017

deep-reinforcement-learning-in-large-discrete-action-spaces

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).

dh-gem

KDD'22 ''Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning''

dhgas

Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

ecsnetpp

ECSNeT++ is a simulation framework built on OMNeT++ for Distributed Stream Processing applications running on Edge and Cloud computing environments.

edgefogsimulator

Edge-Fog cloud simulator and LPCF task assignment calculator

edgesimpy

Python-based modeling and simulation framework for Edge Computing resource management policies

fognetsimpp

A Toolkit to simulate distributed fog computing environment

gnn-communication-networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-reinforcement-learning-literature

This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience of researchers

graph-reinforcement-learning-papers

A curated list of graph reinforcement learning papers.

kaist_mec_simulator

learning based mobile edge computing simulator

learning2rl

Implementation of the paper Learning to reinforcement learn(https://arxiv.org/abs/1611.05763)

lsh-send

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mec_drl

Deep reinforcement learning for mobile edge computing

mec_offloading

Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf

mec_reviewpaper22

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".

memory-rl

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment (NeurIPS 2023 oral)

metarl-offloading