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100-days-of-code-python

100 Days of Code: The Complete Python Pro Bootcamp

5g-power-optimization

MatLab implementation of the power optimization in 5G networks with Massive MIMO technique using the Dinkelbach algorithm and Water Filling, both uplink and downlink

a2c-based-mimo-antenna-selection

Advanced actor-critic-based antenna selection for MIMO systems.

academy

Ray tutorials from Anyscale

adaptive-regularized-zero-forcing-beamforming-in-massive-mimo-with-multi-antenna-users

Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology.

agria.github.io

all things agria

algorithms-and-data-structures-cheat-sheet

Providing a summary of important algorithms and data structures along with their key characteristics and use cases. It can be used as a quick reference for solving programming problems or refreshing knowledge of foundational computer science concepts.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! 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, ... 🧠

artificial_noise_securetransmission

Artificial Noise Assisted Secure Massive MIMO Transmission With Statistical CSI

august_mmwave

new simulation codes

channelestimation-ris-mummwave-mimo-systems

TWC: Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems

cnn-assignments

Convolutional Neural Networks Assignments

collaboration-competition-maddpg

My solution to Collaboration and Competition using MADDPG algorithm, Udacity 3rd project of Deep RL Nanodegree from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

convex-optimization-1

A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments

cooperative-multi-agent-reinforcement-learning-for-low-level-wireless-communication

Spring 2017 Deep Reinforcement Learning Final Project

cost2100

This is the COST2100 channel model, a MATLAB implementation of a spatially consistent radio channel model for MIMO and Massive MIMO communication. Originally developed within COST 2100 (http://www.cost2100.org/) and then further extended in COST IC 1004 (http://www.ic1004.org/) and COST CA15104 IRACON (http://www.iracon.org/)

coupled-phase-shift-star-ris

The code for the paper Coupled Phase-Shift STAR-RISs: A General Optimization Framework

coveragecodebookdesign

Codebook design to improve coverage, presented in VTC-2022-Spring.

cs231n.github.io

Public facing notes page

data-driven-optimization

A repository holding methods from data-driven-optimization used in data science and operations research including sample average approximations, bandit problems, robust optimization, stochastic optimization and reinforcement learning.

ddqn_beamselection

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

deep-learning-based-csi-estimation-for-5g-communication

A framework to estimate the Channel State Information for a 5G communication

deep-learning-coursera

My solutions for Deep learning specialisation course on Coursera

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

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

Clean and robust implementations of Reinforcement Learning algorithms by Pytorch

deep-reinforcement-learning-for-intelligent-reflecting-surfaces

deep-reinforcement-learning-for-movement-control-of-uavs-in-environmentmonitoring-

This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication

deep-rl

Collection of Deep Reinforcement Learning algorithms

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)