Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 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, ... 🧠
approximation-collaborative-computation-offloading
Implementation of the ACCO algorithm from the paper "Collaborative Computation Offloading for Multi-Access Edge Computing over Fiber-Wireless Networks"
DRL-MEC
Dynamic-Request-Scheduling-Optimization-in-Mobile-Edge-Computing-for-IoT-Applications
This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"
Game-Theoretic-Deep-Reinforcement-Learning
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
Implementation_of_MEC_papers
Implementation of submitted papers about Mobile Edge Computing (MEC).
Machine-Learning-homework
Matlab Coding homework for Machine Learning
MEC_offloading
Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
ML-tutoial
Mlliken's Repositories
Mlliken/annotated_deep_learning_paper_implementations
🧑🏫 59 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, ... 🧠
Mlliken/approximation-collaborative-computation-offloading
Implementation of the ACCO algorithm from the paper "Collaborative Computation Offloading for Multi-Access Edge Computing over Fiber-Wireless Networks"
Mlliken/DRL-MEC
Mlliken/Dynamic-Request-Scheduling-Optimization-in-Mobile-Edge-Computing-for-IoT-Applications
This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"
Mlliken/Game-Theoretic-Deep-Reinforcement-Learning
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
Mlliken/Implementation_of_MEC_papers
Implementation of submitted papers about Mobile Edge Computing (MEC).
Mlliken/Machine-Learning-homework
Matlab Coding homework for Machine Learning
Mlliken/MEC_offloading
Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
Mlliken/ML-tutoial