abdel-habib Goto Github PK
Name: ABDELRAHMAN HABIB
Type: User
Bio: constantly building cool things with bits and bytes
Twitter: AbdelrahmanU_
Location: Nijmegen, Netherlands
Name: ABDELRAHMAN HABIB
Type: User
Bio: constantly building cool things with bits and bytes
Twitter: AbdelrahmanU_
Location: Nijmegen, Netherlands
Personal Website
An ai-based chatbot that learns and answers questions you ask. It is trained by a set of intents using tensorflow and nltk.
Projects from AI for Healthcare Nanodegree Program of Udacity.
Implementation of various ML and CV approaches on alzheimer disease tabular dataset for a classification task
A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.
Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.
docker commands documentation with brief description
A boilerplate for Node.js web applications
Brain tissue (WM, GM, CSF) segmentation using both multi-atlas and nnUNet approaches. This project was developed for a course titled "Medical Image Segmentation and Applications" - MISA under MAIA master program.
ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.
This repo includes all the the files necessary for classifying skin lesions. MobileNet Model was pre-trained on HAM10000 image library, with having a top 3 predicitons from the seven trained classes.
Various machine learning and deep learning models has been used to compare and evaluate different approaches on a breast cancer histopathological dataset for a multi-class image classification task.
This repository contains the source code and report for Software Engineering course project.
This repository contains the source code for Medical Image Registration and Applications (MIRA) course for MAIA masters degree.
This repository contains the source code for Medical Image Segmentation and Applications (MISA) course for MAIA masters degree.
A compact autograd engine that operates with scalar values and a neural network library
ML Experiments Package
This is an unofficial repository for "Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation" implementation. It contains some modifications that were made to fit our own task.
PyTorch approach in machine learning, by applying different concepts and theories of machine learning.
Implementation of Regularized General Eigenvalue Classifier (ReGEC) using R
This repository includes the first version of the machine learning model for skin lesions classification in native keras format, as well as the converted model to Tensorflow Javascript. Some files were ignored in .gitignore as HAM10000 directory, base_dir directory, and tensorflow.yml.
u-net implementation in PyTorch for medical image segmentation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.