JAOUHARI MOUNIR's repositories
actuariat_python
teaching materials in Python
agr-gation-maths
(almost) Everything I know in math.
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
CORA
Toolbox for Reachability Analysis
COVID-19
2019 novel coronavirus repository
COVID-public
Repo to share open work on the COVID-19 outbreak
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
EconPDEs.jl
Solve nonlinear elliptic PDEs
ensae_teaching_cs
Teaching materials in python at the @ENSAE
featool-multiphysics
FEATool Multiphysics - PDE, Physics, and CAE Engineering Simulation Made Easy
formation-deep-learning
Supports de formation Deep Learning (diapos et exercices pratiques)
GooseFFT
Micro mechanical computations with an FFT-based method
jsxgraph
JSXGraph is a cross-browser library for interactive geometry, function plotting, charting, and data visualization in a web browser.
KaSim
Tool suite for kappa models. Documentation and binaries can be found in the release section. Try it online at
mandelbrot-set
Bonus materials, exercises, and example projects for our Python tutorials
mdc
Matlab Dynamics and Control
ncov
Nextstrain build for novel coronavirus (nCoV)
oceanmesh
Automatic coastal ocean mesh generation in Python and C++. **under development**
OceanMesh2D
A fast two-dimensional triangular mesh generator with pre- and post-processing utilities written in pure MATLAB (no toolboxes required) designed specifically to build models that solve shallow-water equations or wave equations in a coastal environment (ADCIRC, SWAN, SCHISM, Telemac, etc.).
polymers_and_genome_folding
Mostly Python code that was used to conduct massively parallel molecular dynamics simulations of ring polymers.
sars-like-cov
This is a one-off Nextstrain build for SARS-like coronaviruses
Tutoriels
Vous trouverez ici l'ensemble du code proposé sur la chaîne Youtube L42Project
ventilator
Low-Cost Open Source Ventilator or PAPR
Yolo
L'ensemble de ce code est expliqué et commenté dans la série "Yolo" faite sur la chaine Youtube L42Project (cf Playlist Yolo)