Name: JAI Otman
Type: User
Company: Department of Electrical & Computer Engineering - Higher School of Technolog, Fez, Morocco.
Bio: Otman Jaï is a PhD in Nuclear Engineering. My research interests are Machine Learning, Numerical Methods, Nuclear Engineering, Multi-Physics and Reactor Physics
Twitter: JaiOtman
Location: Morocco
Blog: http://otmanjai.github.io/
JAI Otman's Projects
Format description for ACE nuclear data files
A code package to produce ACE-formatted files for MCNP calculations.
An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool
here you can find the material used for our Tutorials
A curated list of open source projects used in nuclear science and engineering
Repository for benchmarking graph neural networks
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
This repository contains compilation of some chosen topics.
A 1D, 1 group, Monte Carlo transport code to compare transport methods in media with continuous cross sections.
The Cyclus Nuclear Fuel Cycle Simulator
An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool based on the Version5 of the reactor physics codes DRAGON-5 & DONJON-5 developed at École Polytechnique de Montréal.
Graph convolutional neural network for multirelational link prediction
Arduino library for DHT11, DHT22, etc Temperature & Humidity Sensors
Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.
Course "Tools for Data Science"
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
ENRICO: Exascale Nuclear Reactor Investigative COde
ERSN-OpenMC is a Graphical User Interface for OpenMC Monte Carlo particle transport simulation code, originally developed by Jaafar EL Bakkali & Tarek EL Bardouni, members of Radiation and Nuclear Systems Group ERSN at University Abdelmalek Essaady in Tetouan (Morocco).
The ERSN-OpenMC-Py is a graphical user interface specifically designed to streamline the use of the OpenMC code. It provides a user-friendly experience, allowing users to easily prepare input files and analyze simulation results in a visual and intuitive manner.
Explore Graph Convolutional Networks
Fortran-It is a Simple Development Environment SDE for Fortran programmers to organize and compile their Fortran codes. Fortran-It is a free, open-source SDE that is equipped with GNU GFortran compiler. It is developed in VisualBasic using Microsoft Visual Studio.
using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
Code for "Learning Graph Cellular Automata"
Simple reference implementation of GraphSAGE.
Sample Scripts for slurm jobs in HPC-MARWAN (www.marwan.ma)
Framework for fast prototyping of Graph Neural Networks
A generic programming library for interpolation of one dimensional data