yuan-self's repositories
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
civil-service-exam
考试攻略 | 公务员 | 事业单位
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
DRL_for_DDBC
Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE Transactions on Communications
Python_CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
5gm-beam-selection
Beam-selection for mmWave MIMO using machine learning
CameraPredictsBeams
Camera based beam prediction
CRNet
Channel Reconstruction Network implemented in PyTorch
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
DeepAR
Implementation of DeepAR in PyTorch.
deepChannelLearning4RIS
Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning
DeepIRS
A repository for the DeepIRS project codes
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Fault-diagnosis-based-on-industrial-big-data
这是我的毕业设计，本人本科机械，但是读直博到计算机，所以毕业设计双向都有涉及。权当是练手之作了，请勿见笑
federated-learning-3
Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习
image_restoration_AI_ZJU
Zhejiang University Course: Artificial Intelligence (19 Spring) Individual Project -- Image Restoration
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
massivemimobook
Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.
pytorch-OpCounter
Count the FLOPs of your PyTorch model.
Resource-allocation-in-Cognitive-Radio-
Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))
RIS_Rate_VS_Channel_Error
Simulation Codes for Figure 3 in Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
singular-spectrum-transformation
fast implementation of singular spectrum transformation (change point detection algorithm)
Tutorial_Speech_Signal_Processing
This repo summarizes the courses and materials for speech signal processing. You are kindly invited to pull requests.