Name: Mahdi Khemakhem
Type: User
Company: University of Sfax
Bio: Mahdi Khemakhem is an associate professor at the department of mathematics and business intelligence ate the ENET'COM, University of Sfax, Tunisia.
Location: Sfax, Tunisia
Mahdi Khemakhem's Projects
Documentation and samples for ArcGIS API for Python
This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html
Crowd Motion Simulation
Crowd Simulation for the Masses
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
A shared API for QUBO/Ising samplers.
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Just to start with GitHub
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
A Jupyter kernel for executing Java code.
Learn Kubernetes fundamentals / Formation Kubernetes et les micro-services
Implementing local search heuristics on a random instance of the knapsack problem
A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)
Simple framework for modeling optimization problems in Python
Instances used to evaluate optimal methods to solve the Periodic Crowd Tracking via Unmanned Aerial Vehicles.
Main repo of PyCon 2020 Tutorial
Python DSL for constructing QUBOs from mathematical expressions.
QUBO matrix generator for major combinatorial optimization problems written in Python
Implementation of Tabu Search algorithm combined with 2-opt and Hill climbing on Travelling Salesman Problem