GYQ-dara

GYQ-dara's Stars

• NetworkCommunication/STRIVE

  Language:Python5

• SakuraPuare/AlibabaTrace

  阿里集群数据集cluster-trace-v2018分析及可视化系统的设计与实现

  Language:Vue51

• Cloudslab/DLSF

  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

  Language:Java11239

• EscapeTheWind/Edge-Computing-and-Caching-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV

  Language:Python6710

• SidAg26/DRe-SCale

  DRe-SCale: A Deep Recurrent Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions

  Language:Python83

• lalithsuresh/CloudSim

  Cloud scheduling simulator

  Language:Python4317

• FC-Li/CloudSimPy

  CloudSimPy: Datacenter job scheduling simulation framework

  Language:Python23577

• AtticusZhang/PyEdgeSim

  A Python-based simulation environment for edge computing decision-making algorithms with edge task scheduling.

  Language:Python10

• stefanbschneider/mobile-env

  An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

  Language:Python12530

• fantasy-sxy/HGATE

  Heterogeneous Graph Attention Auto-Encoders

  Language:Python168

• LUOyk1999/DAGformer

  [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"

  Language:Python6510

• MuhammedGolec/EdgeAISIM

  [MS 24] EdgeAISim: A Toolkit for Simulation and Modelling of AI Models in Edge Computing Environments

  Language:Python3311

• dxnu/okec

  A Realistic, Versatile, and Easily Customizable Edge Computing Simulator.

  Language:C++133

• sosam002/KAIST_MEC_simulator

  learning based mobile edge computing simulator

  Language:Python6730

• cheesezhu/EdgeCloudSimPy

  Language:Python92

• hongzimao/decima-sim

  Learning Scheduling Algorithms for Data Processing Clusters

  Language:Python29692

• Morgan279/LowComplexityTaskScheduling

  Implementations of HEFT and CPOP, which are scheduling algorithms proposed by 《Performance-effective and low-complexity task scheduling for heterogeneous computing》

  Language:Java9

• qiongwu86/GNN-and-DRL-Based-Resource-Allocation-for-V2X-Communications

  Language:Python543

• Lei-Kun/End-to-end-DRL-for-FJSP

  This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

  Language:Python28864

• pengguo318/FJSPDRL

  The code and data will be published after accepting our paper

  Language:Python8325

• Livioni/DAG_Generator

  Random Directed Acyclic Graph Generator

  Language:Python517

• pengguo318/MaDRLAM

  Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs

  Language:Python8216

• bnxng/Topo4MEC

  Topology data for MEC networks

  143

• JohannesAck/tf2multiagentrl

  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

  Language:Python14232

• NetworkCommunication/premigration

  Digital-twin Network Service Pre-migration Scheme for Vehicular Edge Computing

  Language:Python22

• Davidham3/ASTGCN-2019-mxnet

  ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

  Language:Python403245

• xuaikun/TransEdge

  TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation System

  401

• wangxianggit/ST-GWCN

  A traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network

  Language:Python5

• linkpark/RLTaskOffloading

  Language:Python13034

• LeiBAI/STG2Seq

  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

  Language:Python3213