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Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
MATLAB toolbox for automatic modulation classifier development
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
Awesome-Cellular-Hacking
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper under review.
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.
Queueing and traffic modeling related functionality for Matlab, Mathematica and Python
Simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.
Contiki-NG: The OS for Next Generation IoT Devices
Hands-on Deep Reinforcement Learning, published by Packt
Exercises for the Deep Learning textbook at www.deeplearningbook.org
We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.
Solve multi-stage deterministic decision problems with Dynamic Programming
Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'
A toolkit for developing and comparing reinforcement learning algorithms.
RF frequency heatmap using Google Maps API
Hands-On Internet of things with ESP32, published by Packt
Lab Materials for MIT 6.S191: Introduction to Deep Learning
LINE - Performance and Reliability Analysis Engine
A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.
Source code for 'MATLAB Deep Learning' by Phil Kim
Files demonstrating MATLAB and Python interoperability
Deep Learning models to classify modulation techniques used in signals from DeepSig Dataset: RadioML 2016.04C
Visualizes the performance of an OpenFlow network, performs prediction using queueing theory (work in progress)
Code samples for my book "Neural Networks and Deep Learning"
Compilation of the different MATLAB codes that were used for the experimental part of the research work presented in the article "Next Generation 5G OFDM-Based Modulations for Intensity Modulation-Direct Detection (IM-DD) Optical Fronthauling".
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Papers with code. Sorted by stars. Updated weekly.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.