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A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations
computation offloading in mobile edge computation using Reinforcement Learning
Algorithm implementation for my Edge Computing-related papers.
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Derive the optimal cache hit ratio for Internet request traces with variable object sizes.
sunnyszy / lrb
Forked from dasebe/webcachesimA C++11 simulator for a variety of CDN caching policies.
A C++11 simulator for a variety of CDN caching policies.
Neural Collaborative Filtering
Massively Parallel Deep Reinforcement Learning. 🔥
Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
Proactive Content Caching with Deep Learning
Hands-on tutorials to help you understand how EdgeSimPy works and how to use it in your research
Python-based modeling and simulation framework for Edge Computing resource management policies
implementing and testing edge caching algorithms, culminating in writing, simulating and testing an adaptive caching algorithm against the rest
Deep learning based predictive analytics for efficient content caching in edge network
Deep Reinforcement Learning for Cooperative Edge Caching in Vehicular Networks
Caching simulator in edge computing using python
NDN caching simulator for edge computing using python
Simulate the real environment, perform edge computing, edge caching experiments
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
I'm here to tell you some amazing stuff which teacher would never tell you.
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
CS249 group project. Implementing PSO scheduling algorithms on CloudSim enviornment