KARIM ABOELAZM's Projects
100 Days of Code: The Complete Python Pro Bootcamp
100 Days of ML Coding
Notebooks of 100 days of code Python course
# Abnormal-Human-Activity-Detection With the increase in the amount of anti-social activities taking place in the environment, security has been given the utmost importance lately. Therefore, organizations require a constant monitoring of people and their interactions. Since this constant monitoring of data by humans to judge if the events are abno
abnormal behavior detection using CNN and RNN
Abnormal crowd behavior detection
use yolo v7, flask, telegram
Alarm-Using-Cpp
A curated list of references for MLOps
A curated list of awesome Python frameworks, libraries, software and resources
[Course-2020-2022] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
Lecture of today => 1/12/2022
For extensive instructor led learning
Data Structures and Algorithms in Python
The Web framework for perfectionists with deadlines.