NajibOdhah's repositories
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, ... 🧠
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
bdsim
Simulate dynamic systems expressed in block diagram form using Python
DL-based-Channel-Estimation-in-Doubly-Dispersive-Environments-
This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
drl-5g-scheduler
Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"
FedAIoT
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
joss
The Journal of Open Source Software
lecture-examples
Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT
manim
Animation engine for explanatory math videos
manim-1
A community-maintained Python framework for creating mathematical animations.
mmWave-localization-learning
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
nprach_synch
This code depends on Sionna
Numerical-Methods-with-Applications
Teach numerical methods for interpolation, differentiation, integration, and solving ODEs and PDEs with MATLAB.
O-RAN-cell-free
Simulation code for "Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources," by Özlem Tuğfe Demir, Meysam Masoudi, Emil Björnson, and Cicek Cavdar, IEEE Journal on Selected Areas in Communications
Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
power-allocation-cell-free
Simulation code for “Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems,” by Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova, IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 174-188, Jan. 2023
qmkpy
Python testbed for the Quadratic Multiple Knapsack Problem (QMKP)
Radar-aided-beam-prediction
The evaluation code for the paper "Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration".
Radar-aided-blockage-prediction
The evaluation code for the paper "Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems".
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
RL-for-Adaptive-Beamforming
Master thesis about using reinforcement learning for adaptive beamforming
sdran-in-a-box
SDRAN-in-a-Box for SD-RAN project
simmer-tutorial-WueWoWas2022
Material and scripts for the tutorial on r-simmer held during WueWoWas 2022
videos
Code for the manim-generated scenes used in 3blue1brown videos
ViennaSimulator_LTE_Link_Level
ViennaSimulator, Matlab Simulator, Matlab2018, Initial Version
xapp-demo
Poznan training school