ahmedshatti Goto Github PK

6g-channel-estimation-dataset

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

a-complete-digital-communication-system

A simulation of a complete digital communication system with different modulation schemes in MATLAB for transmitting and receiving text messages.

adaptive-equalization

Adaptive equalizer implementations based on RLS(Recursive Least Squares) and LMS(Least Mean Squares).

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ber-of-nakagami-fading-channel

Performance of Bit Error Probabilities of M-QAM, M-PAK, I-PAM for a channel subjected to impulsive noise and Nakagami fading

comparison-of-pso-and-gradient-descent-in-optimization-for-neural-networks

Comparison of PSO and Gradient Descent in Optimization For Neural Networks

complex-valued-neural-networks-cvnn-

cs229

CS229: Machine Learning

data-processors

Processing raw data for Machine Learning Algorithms

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

deep-learning-specialization

Contains Solutions to Deep Learning Specailization - Coursera

deepmimo-python

DeepMIMO python dataset codes for mmWave and massive MIMO

deepregression

A Comprehensive Analysis of Deep Regression

distortion-correlation

Simulation code for “Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency” by Emil Björnson, Luca Sanguinetti, and Jakob Hoydis, IEEE Transactions on Communications, To appear

efficienteffectivelstm

Experiment Codes for the paper "An Efficient and Effective Second-Order Training Algorithm For LSTM-based Adaptive Learning"

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

heightmappathlossprediction

Regression of large-scale path loss parameters using deep neural networks

kaggle-web-traffic

1st place solution

machine-learning-

Machine learning specilization Standford University Andrew Ng Coursera

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

machinelearningandrewng

Machine Learning Course - Coursera

massive-mimo-hardware-impairments

Simulation code for “Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits” by Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah, IEEE Transactions on Information Theory, vol. 60, no. 11, pp. 7112-7139, November 2014.

matconvnet-deepreg

Robust Optimization for Deep Regression (MatConvNet Implementation)

metaaf

Control adaptive filters with neural networks.

mimobook

Simulation code and accompanying material for the textbook "Introduction to Multiple Antenna Communications and Reconfigurable Surfaces" by Emil Björnson and Özlem Tuğfe Demir, Boston-Delft: now publishers, 2024

neural-net-pso

A neural network trained for Iris flower data-set classification using Particle Swarm Optimization.

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

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

pcc_3e

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

presentation_slides

This repository contains the slides to some of my YouTube presentations, as well as some slides and posters from conferences