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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cosco

[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

di-engine

OpenDILab Decision AI Engine

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drl

Deep Reinforcement Learning

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

fogplan-simulator

Simulator Software for FogPlan: A Lightweight QoS-aware Dynamic Fog Service Provisioning Framework

head-network-distillation

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

javastudy

javaweb

leetcode

lyapunov-optimization

Codes for Lyapunov optimization.

mec_drl

Deep reinforcement learning for mobile edge computing

mecoptimaloffloading

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

metarl-offloading

mobilecodews

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

pythonstudy

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

reinforcement-learning-with-pytorch

Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

rltaskoffloading

seq2seq

Sequence to Sequence Learning with Keras

studentmanagement

task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

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