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najibodhah's Projects

polypoint icon polypoint

Indoor localization based on the DecaWave DW1000.

portal icon portal

5GENESIS web-based user interface for experimenters.

proposing-projects icon proposing-projects

This repo contains the LF AI Project Proposal Process and Project Lifecycle. They explain the process to host new projects in LF AI and provide a proposal template.

proximity icon proximity

Power allocation in a dense cellular network using Q-learning

pybombs icon pybombs

PyBOMBS (Python Build Overlay Managed Bundle System) is the GNU Radio install management system for resolving dependencies and pulling in out-of-tree projects.

q-learning-power-control icon q-learning-power-control

Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.

qcm icon qcm

Qamcom Channel Model - A map based radio propagation and antenna modelling toolbox

qemu icon qemu

Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

qiqqa-open-source icon qiqqa-open-source

The open-sourced version of the award-winning Qiqqa research management tool for Windows

qmkpy icon qmkpy

Python testbed for the Quadratic Multiple Knapsack Problem (QMKP)

quadriga icon quadriga

QuaDRiGa, short for QUAsi Deterministic RadIo channel GenerAtor, is used for generating realistic radio channel impulse responses for system-level simulations of mobile radio networks.

radar-aided-beam-prediction icon radar-aided-beam-prediction

The evaluation code for the paper "Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration".

randomforest icon randomforest

Simple implementation of the random forest algorithm from scratch

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1 icon reinforcement-learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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