zyn-z Goto Github PK

-

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

edge-offloading

computation offloading in mobile edge computation using Reinforcement Learning

edgeproject

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

helloworld

improve-ml-rl

改进ML-RL

lydroo

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

machine-learning

机器学习笔记

mec_offloading

19ICPADS

metarl-offloading

ml-rl-pureedgesim

PureEdgeSim Extension

ml-rl-simulations

A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations

partial-computation-offloading-for-mec

23ddpg

pomdp-service-migration

pureedgesim

PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

sfcwikiworkload

CloudSIMSDN中的工作负载通过维基百科计算负载信息

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

system

student

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.