farouk09's repositories
Layout-detection-with-BEiT
Designing layout detection model for CVs
Distributed-computing-for-lane-detection-models
Distributed inference between edge devices for lane detection models.
Architecture-logicielles
Manipuler les concepts de bases préliminaires des architecture logicielles : Architecture en couches, ClientEjb, JPA
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Pipe_and_Filter_Application
java application that manage a rental store movies and computer games with a pipe and Filter architecture
Cisco-VPN-MPLS-Advanced-Topologies
Configuration d'un VPN/MPLS sous GNS3 (routeurs Cisco) en utilisant les techniques "Full Mesh" et "Hub & Spoke".
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Detecteur_de_mouvement
Detecteur de mouvement
DL_ML_projects
DL ML projects
Face_recognition
Face recognition model with convolution neural networks
Google_Hashcode2020
Solution of the qualification round Google Hash_code 2020 (Score : 25 230 804)
GoogleKickstart_Codejam-solutions
This repository will contain some google kickstart and CodeJam solutions
Iris_Flowers_Classification
The aim is to classify iris flowers among three species (setosa, versicolor, or virginica) from measurements of sepals and petals' length and width.
Les-automates
a library of different functions that manage NFA and DFA
magic-8-ball-android-farouk09
magic-8-ball-android-farouk09 created by GitHub Classroom
Migration_vers_IPV6
migration d’un réseau intranet 'une entreprise d’un réseau IPv4 à un réseau IPv6 modernisé
ML-StudyJam
ML StudyJam notes.
ObjectDetection_MLKit
Object Detection using firebase MLKit
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Sentiment_Analysis
Sentiment Analysis with an RNN
Style_Transfer
Style Transfer with Deep Neural Networks
TP_Structure_de_fichiers
Travail Pratique – SFSD Structures simples de fichiers – Méthode : « TObarreF »