Pinned Repositories
Algorithm-WorkShop-In_Python-ITI_Clustering_Project
Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)
Arabic_Dialect_Identification_NLP-AIM-Task
Arabic_Dialect_Identification_NLP-AIM-Task
Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project
Car_Crash_Detection_From_Surveillance_Cameras-PyTorch
Coursera--Deep_Learning_Specialization--By_Anderw_Ng
Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
DeepFake-Detection-Using-Pytorch
This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/
Distracted-Driver-Detection-Project-TechnoColabs
This project focuses on driver distraction activities detection via images, which is useful for vehicle accident precaution. We aim to build a high-accuracy classifiers to distinguish whether drivers is driving safely or experiencing a type of distraction activity. https://pypi.org/project/Distracted-Driver-Detection/
Face_Mask_Detector_WebAPP-By_Streamlit_Heroku-
This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.
Fight_Detection_From_Surveillance_Cameras-PyTorch_Project
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
MohamedSebaie's Repositories
MohamedSebaie/Fight_Detection_From_Surveillance_Cameras-PyTorch_Project
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
MohamedSebaie/Distracted-Driver-Detection-Project-TechnoColabs
This project focuses on driver distraction activities detection via images, which is useful for vehicle accident precaution. We aim to build a high-accuracy classifiers to distinguish whether drivers is driving safely or experiencing a type of distraction activity. https://pypi.org/project/Distracted-Driver-Detection/
MohamedSebaie/Arabic_Dialect_Identification_NLP-AIM-Task
Arabic_Dialect_Identification_NLP-AIM-Task
MohamedSebaie/Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project
Car_Crash_Detection_From_Surveillance_Cameras-PyTorch
MohamedSebaie/DeepFake-Detection-Using-Pytorch
This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/
MohamedSebaie/Face_Mask_Detector_WebAPP-By_Streamlit_Heroku-
This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.
MohamedSebaie/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
MohamedSebaie/nlp-101-iti-course
NLP course for ITI AI-Pro track
MohamedSebaie/AnalyticsRoleplay_Machine_Learning_Task
MohamedSebaie/Applied-Deep-Learning
Applied Deep Learning
MohamedSebaie/Arabic_Dialect_Identification-Azure
Arabic_Dialect_Identification-Azure_Deployment
MohamedSebaie/AWS-Health-AI-Hackathon
Our (egabi Solutions AI team) participation for the AWS Health AI Hackathon
MohamedSebaie/eLearning-Platforms
eLearning Platforms for computer science students.
MohamedSebaie/Fine_tuned-_Falcon_Arabic
MohamedSebaie/Gender-Age-Race_Prediction_Keras
Gender Age Race Prediction Keras with Multiple Heads to The Model.
MohamedSebaie/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
MohamedSebaie/Industry_Classification_Task-Deployment_with_Flask_on_Heroku-ITI_AI-Pro_Track
Industry MultiClass Classification Task using NLP and DEployment with Flask on Heroku Platform
MohamedSebaie/iti_ds_live-DG
MohamedSebaie/Kaggle-Competitions
Kaggle Competitions-ITI
MohamedSebaie/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
MohamedSebaie/manning
Repository for the book Grokking Machine Learning, by Manning Editors
MohamedSebaie/ML_Engineer_MTailor_Assessment
ML Engineer MTailor Assessment Object Detection From Scratch Using PyTorch
MohamedSebaie/mlops-zoomcamp
Free MLOps course from DataTalks.Club
MohamedSebaie/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
MohamedSebaie/MohamedSebaie.github.io
MohamedSebaie/monk_v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
MohamedSebaie/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
MohamedSebaie/STAM
Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)
MohamedSebaie/Tahaluf-Deep-Learning-Engineer-Task
Tahaluf-Deep-Learning-Engineer-Task
MohamedSebaie/Traffic_Accident_Detection