kenza-djeddiali
Je suis passionnée par le développement d’application (Mobile/ web/ Vision par ordinateur, etc.), motivée par le désir d’apprendre.
Montréal
Pinned Repositories
Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
GTI660H24
Heart-MRI-s-Segmentation
Use Azure Machine learning Service to understand how Neural Networks can solve medical imaging problems. Use Transpose Convolutional Neural Networks. Use Keras and TensorFlow 2 to analyze image data and get the segmentation model (UNET)
HomeShope
ios-demo-app
PyTorch iOS examples
log210-jeu-de-des-node-express-ts
medical-imaging
ML-based medical imaging using Azure
MyMenu-master
ObjectDetectionWithCreateML
Contains data needed to train object detection model in CreateML + iOS app for testing
SchoolBusPlayground
This project was made for OpenClassrooms. It's a playground dedicated to learn OOP in Swift. It comes with the OOP Swift course on OpenClassrooms.
kenza-djeddiali's Repositories
kenza-djeddiali/GTI660H24
kenza-djeddiali/medical-imaging
ML-based medical imaging using Azure
kenza-djeddiali/HomeShope
kenza-djeddiali/ios-demo-app
PyTorch iOS examples
kenza-djeddiali/Heart-MRI-s-Segmentation
Use Azure Machine learning Service to understand how Neural Networks can solve medical imaging problems. Use Transpose Convolutional Neural Networks. Use Keras and TensorFlow 2 to analyze image data and get the segmentation model (UNET)
kenza-djeddiali/MyMenu-master
kenza-djeddiali/SchoolBusPlayground
This project was made for OpenClassrooms. It's a playground dedicated to learn OOP in Swift. It comes with the OOP Swift course on OpenClassrooms.
kenza-djeddiali/ObjectDetectionWithCreateML
Contains data needed to train object detection model in CreateML + iOS app for testing
kenza-djeddiali/Spoon-Knife
This repo is for demonstration purposes only.
kenza-djeddiali/log210-jeu-de-des-node-express-ts
kenza-djeddiali/Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers