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Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond" by Hamed Rahimi et al.
爆破字典
I worked on Cloud Computing related to fog Computing and implemented paper ”Edge Affinity-based Management of Applications in Fog Computing Environments”.Here I implemented two Algorithm one for “classifying application”and “application selection”.
Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
The code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"
Simulation of algorithms for Edge Computing-related papers.
Energy Saving and Interference Coordination in HetNets Using Dynamic Programming and CEC
Deepfakes Software For All
Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Thesis in Federated Learning using an Edge/Cloud Computing architecture
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
Low-complexity hybrid precoding in massive mulituser MIMO systems, IEEE Wireless Communications Letters
Paper about Small Cell, Massive MIMO and Full-duplex
面试题
pandas中文教程
Source code for our paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
short-term load forecasting with deep residual networks
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
My blogs and code for machine learning. http://cnblogs.com/pinard
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.