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Sherif Ahmed 's Projects

credit-card-fraud-detection icon credit-card-fraud-detection

This repository contains the code for a Credit Card Fraud Detection project using a highly unbalanced Kaggle dataset of 284,807 transactions with only 492 frauds. To address the imbalance the project implements voting classifier and a neural network with focal loss in PyTorch, achieving an F1-score of 0.86 and PR_AUC of 0.85 for the positive class.

dsp icon dsp

This a practical lab tutorial repository for digital signal processing

mpi icon mpi

Their two aims for this repo. First learning about MPI (standardized and portable message-passing standard designed to function on parallel computing architectures). Second Implement parallel a image processing algorithms.

neural-networks-zero-to-hero-tutorial-by-andrej-karpathy icon neural-networks-zero-to-hero-tutorial-by-andrej-karpathy

Repository for exercises and projects related to the "Neural Networks Zero to Hero" tutorial by Andrej Karpathy. This repository is designed to complement the tutorial and provide hands-on practice to reinforce the concepts covered.

neuralearn-ml-server-qg-rag-pipeline icon neuralearn-ml-server-qg-rag-pipeline

NeuraLearn Academy is a educational platform designed to enhance learning experience by integrating advanced technologies. Our goal is to create platform similar to Udemy or Coursera but with a unique twist leveraging the power of Large Language Models (LLMs) to optimize education through intelligent feedback , question generation and summarization

nyc-taxi-trip-duration icon nyc-taxi-trip-duration

This project aims to predict the total ride duration of taxi trips in New York City as part of the NYC Taxi Duration Prediction competition on Kaggle. The model uses data provided by the NYC Taxi and Limousine Commission, including information such as pickup time, geo-coordinates, number of passengers, and other variables.

tennis-analysis-system icon tennis-analysis-system

Tennis-Analysis-System is a system that analyzes tennis matches and provides player statistics and mini court visualizations.

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