qcc-creat Goto Github PK

07959626_reliable

Reproducible research on the paper 'Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array'

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deepmimo-codes

DeepMIMO dataset and codes for mmWave and massive MIMO applications

dl-massive-mimo

DL tackling Massive-MIMO problems

drl4recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

dynamic-channel-propagation

everydaywechat

每日自动给女朋友发微信暖心话。

gan-ddqn

github-slideshow

A robot powered training repository :robot:

gnn-resource-management

lstm-based-a2c

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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.

note-by-latex

《简单粗暴 LaTeX》手册开源仓库 | The opensource repo for my published LaTeX book.

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

rclstm

RCLSTM (Deep learning with long short-term memory for time series prediction) for traffic prediction

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

tanjialin.github.io

我的hexo博客