liyingxiu

liyingxiu's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k51.1k

• emilbjornson/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.

  Language:MATLAB345149

• YunaiV/Blog

  每周一篇，内容精简，不咸不淡，期盼探讨。微信公众号：芋道源码【纯源码分享公众号】

  2.6k860

• coder2gwy/coder2gwy

  互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

  26.6k3.7k

• lucasanguinetti/Deep-Learning-Power-Allocation-in-Massive-MIMO

  This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

  Language:MATLAB8450

• taizilongxu/interview_python

  关于Python的面试题

  Language:Shell16.6k5.5k

• PegasusWang/python_data_structures_and_algorithms

  Python 中文数据结构和算法教程

  Language:Python2.8k806

• 3masterplus/book

  Book PDF

  Language:PHP1.8k729

• scutan90/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

  Language:JavaScript54.8k15.9k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.6k6k

• shkrwnd/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

  Language:Jupyter Notebook22597

• emilbjornson/book-resource-allocation

  Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

  Language:Matlab8452

• Nana0606/autoencoder

  个人练习，自编码器及其变形（理论+实践）

  Language:Python32382

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.3k1.1k

• MorvanZhou/tutorials

  机器学习相关教程

  Language:Python11.9k5.7k

• lowelt/Master-Thesis

  Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"

  Language:Jupyter Notebook2422

• immortal3/AutoEncoder-Based-Communication-System

  Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

  Language:Jupyter Notebook12679

• leriomaggio/deep-learning-keras-tensorflow

  Introduction to Deep Neural Networks with Keras and Tensorflow

  Language:Jupyter Notebook2.9k1.3k

• LyricYang/MIMO_OFDM

  《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

  Language:Matlab791280

• ML4Comm-Netw/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

  1.9k646

• github/gitignore

  A collection of useful .gitignore templates

  162k83.1k