Liu Cao's starred repositories
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
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
liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
deeplearning.ai
Some work of Andrew Ng's course on Coursera
MARLspectrumSharingV2X
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
ResourceAllocationReinforcementLearning
intial version
ResourceAllocationV2X
Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications
ns-3_c-v2x
Cellular Vehicle-to-Everything (C-V2X) Mode 4 model for ns-3
ResourceAllocationV2Xgraph
Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications
DynamicMultiChannelRL
Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"
vanet_toolbox
Vehicular Network Simulator in MATLAB/Simulink Environment based on Discrete-event System. https://www.youtube.com/watch?v=wIohwbSk68I&t=47s
PHY_abstraction_V2X_technologies-IEEE-802.11p-IEEE802.11bd-LTE-V2X-NR-V2X-
This repository contain the code of PHY abstraction for current V2X technologies
SLU-Simulation
Simulation and analysis code for paper "Sidelink Mode 2 in Unlicensed Bands: Basic Throughput Model & Validation"