[IEEE TMC 2020] "Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach" and [IEEE GlobeCom 2023] "A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Co…

边缘计算/云边协同 任务/容器调度模拟器

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

基于边缘计算网络的卸载优化及资源优化

Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Towards Decentralized Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing''

FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing

An edge-native container management system for edge computing

一本系统地教你将深度学习模型的性能最大化的战术手册。

A playbook for systematically maximizing the performance of deep learning models.

The source code for the paper titled Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing

The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…