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lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

machine-learning-for-metamaterials

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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.

master-thesis

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

meta-autoencoder

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

meta-autoencoder-without-channel-model

Code for the paper "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"

minicursopython

Mini-curso de Python

ml-fastvit

This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization"

ml-for-resource-allocation

Machine Learning for Dynamic Resource Allocation in Network Function Virtualization

ml5g-phy-channelestimation-icarus

This repository contains the source codes and the description of the proposed solution to the challenge ML5H-PHY [channel estimation] by the team ICARUS.

ml_crash_course

source code for ML crash course

mls

My go through deep reinforcement learning in pytorch

mmnet

models

Models and examples built with TensorFlow

moduratc

Modulation and radio access technology (RAT) classification

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

my_ns3

new-look-at-relaying

Simulation code for “A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments” by Emil Björnson, Michail Matthaiou, Mérouane Debbah, IEEE Transactions on Communications, vol. 61, no. 11, pp. 4512-4525, November 2013.

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

ns3-ai

Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!

ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

ofdm-simulation

OFDM Simulation in MATLAB for Teleco students

ofdm_papr_reduction

open-drm

Automatically exported from code.google.com/p/open-drm

orilocbeamselection

Location- and Orientation-Aided Millimeter Wave Beam Selection Using Deep Learning

p13_stc_team2

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

papr-net

Deep learning for PAPR reduction in OFDM system