Quang-Trung Luu's Projects
5G Network Slicing for Wi-Fi Networks
Some useful scripts
Awesome machine learning for combinatorial optimization papers.
Notes of the AWS Academy Cloud Foundations Course
A LaTeX class for producing presentations and slides
This repository contains the slides to some of my YouTube presentations, as well as some slides and posters from conferences
Source code for 100+ books, kept here for quick reference
Clever Algorithms: Nature-Inspired Programming Recipes
Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.
CoflowLib is a library of test instances for coflows in datacenter networks
Simulator for coflow scheduling and resource allocation
Dataset for the paper L. Bonati, S. D'Oro, M. Polese, S. Basagni, T. Melodia, "Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks," IEEE Communications Magazine, vol. 59, no. 10, pp. 21–27, October 2021.
Codes des travaux pratiques
CPLEX based solution for the VNF Placement Problem
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A collection of various deep learning architectures, models, and tips
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
dynamic slicing
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
[ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin.
Graph similarity algorithms based on NetworkX.
Implementation of Hibernator, a disk array energy management system in MATLAB using CPLEX
Notes of the IBM Data Science Course on Coursera
Framework for fast prototyping of Graph Neural Networks
L1TF trend fitting in python using ADMM and numpy
Some useful latex templates for educational and work purposes
Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.