Habib Mrad's Projects
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Deep learning for genomic chromatin profile prediction
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
AFIB Detection with Convolutional Networks (Computers In Cardiology Challenge 2017)
Intro to Artificial Intelligence (Don't steal my code bro!)
Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images
Computer vision and Deep learning
A Python-Tensorflow neural network for classifying cancer data
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Machine reading comprehension on clinical case reports
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
Deep Learning Models and Data for identification of clinical classifier terms fro Electronic Health Records [EHR] related to Cardiology. Worked on as a project during internship at Numen Health.
Neural Networks for Visual Recognition.
Segmentation of histological images and fibrosis identification with a convolutional neural network
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Code examples for the book https://leanpub.com/cognitive-computing
Python libraries for Google Colaboratory
The code for the prize winners in DrivenData competitions.
Code used for 'Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans'.
Machine Learning model to predict lymph-node metastasis
Computer vision sabbatical study materials
computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...
source code
Computer Vision with Python 3, published by Packt
The swiss army knife of healthcare integration.
A technical report on convolution arithmetic in the context of deep learning
JavaScript library to display interactive medical images including but not limited to DICOM
A framework for tools built on top of Cornerstone.
Online Course
Full Stack Deep Learning Online Course