Pinned Repositories
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JavaWeb BS 图书系统
auto-DE
A framework for Differential Evolution with adaptive selection of operators and parameters.
Balls-and-Bins
This is a monte carlo simulator to simulate the trade-off between the communication cost and maximum load of servers in content delivery networks (CDNs). For more information, you may refer to our paper published at the IEEE Transactions on Parallel and Distributed Systems (TPDS) journal entitled: Storage, Communication, and Load Balancing Trade-off in Distributed Cache Networks.
Cache-Allocation-Project
The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited resources out among several agents.
cluster-data
Borg cluster traces from Google
coding-interview-university
A complete computer science study plan to become a software engineer.
COSCO
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
CSI4101-software-capstone-design
Network aware load balancing for edge/cloud computing using deep reinforcement learning
djl
JAVA的深度学习库
DRL-MEC
ZYN-z's Repositories
ZYN-z/-
JavaWeb BS 图书系统
ZYN-z/auto-DE
A framework for Differential Evolution with adaptive selection of operators and parameters.
ZYN-z/Balls-and-Bins
This is a monte carlo simulator to simulate the trade-off between the communication cost and maximum load of servers in content delivery networks (CDNs). For more information, you may refer to our paper published at the IEEE Transactions on Parallel and Distributed Systems (TPDS) journal entitled: Storage, Communication, and Load Balancing Trade-off in Distributed Cache Networks.
ZYN-z/Cache-Allocation-Project
The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited resources out among several agents.
ZYN-z/cluster-data
Borg cluster traces from Google
ZYN-z/coding-interview-university
A complete computer science study plan to become a software engineer.
ZYN-z/COSCO
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
ZYN-z/CSI4101-software-capstone-design
Network aware load balancing for edge/cloud computing using deep reinforcement learning
ZYN-z/djl
JAVA的深度学习库
ZYN-z/DRL-MEC
ZYN-z/edge-offloading
computation offloading in mobile edge computation using Reinforcement Learning
ZYN-z/EdgeProject
ZYN-z/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
ZYN-z/HelloWorld
ZYN-z/Improve-ML-RL
改进ML-RL
ZYN-z/LyDROO
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
ZYN-z/machine-learning
机器学习笔记
ZYN-z/MEC_offloading
19ICPADS
ZYN-z/metarl-offloading
ZYN-z/ML-RL-PureEdgeSim
PureEdgeSim Extension
ZYN-z/ML-RL-simulations
A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations
ZYN-z/Partial-Computation-Offloading-For-MEC
23ddpg
ZYN-z/pomdp-service-migration
ZYN-z/PureEdgeSim
PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
ZYN-z/sfcwikiworkload
CloudSIMSDN中的工作负载通过维基百科计算负载信息
ZYN-z/source-code-hunter
😱 从源码层面，剖析挖掘互联网行业主流技术的底层实现原理，为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶，Mybatis、Netty、Dubbo 框架，及 Redis、Tomcat 中间件等
ZYN-z/system
student
ZYN-z/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.