Pinned Repositories
JavaStudy
JavaWeb
StudentManagement
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
Uangeihl's Repositories
Uangeihl/LeetCode
Uangeihl/PythonStudy
Uangeihl/DI-engine
OpenDILab Decision AI Engine
Uangeihl/seq2seq
Sequence to Sequence Learning with Keras
Uangeihl/MobileCodeWS
Uangeihl/JavaWeb
Uangeihl/COSCO
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Uangeihl/JavaStudy
Uangeihl/Uangeihl.github.io
Uangeihl/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
Uangeihl/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, ... 🧠
Uangeihl/StudentManagement
Uangeihl/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Uangeihl/task-offloading-edge-computing
Simulation code for multi-user offloading in edge computing newtorks
Uangeihl/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"
Uangeihl/DRL
Deep Reinforcement Learning
Uangeihl/RLTaskOffloading
Uangeihl/DROO
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Uangeihl/mec_drl
Deep reinforcement learning for mobile edge computing
Uangeihl/MECOptimalOffloading
Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
Uangeihl/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
Uangeihl/metarl-offloading
Uangeihl/Reinforcement-learning-with-PyTorch
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
Uangeihl/Lyapunov-optimization
Codes for Lyapunov optimization.
Uangeihl/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Uangeihl/FogPlan-simulator
Simulator Software for FogPlan: A Lightweight QoS-aware Dynamic Fog Service Provisioning Framework