MarwaShaaban20

3-bit-Arithmetic-Circuit-Using-Structural-Verilog

32-bit-Assembly-Floating-Point-Product-Calculator

Auto-Parallel-Parking-Car

Parallel Parking Car code ,with mathematical localization code and detailed Paper about the project.

CartPole-Reinforcement-Learning-Algorithms

This project implements three different reinforcement learning algorithms—Monte Carlo, Q-learning, and SARSA—on the classic CartPole problem.

char-generation-word-generation-RNN-LSTM-and-GRU-models

applying different RNN architecture to build character prediction model and a word based prediction model these model are trained on data of specific topics from wikipedia

Command-Line-Interpreter-

COVID-19-Chest-X-ray-Classification-KNN

project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. The system is designed to classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle

Drone-Dlivery-Agent_Project-

Fast-Text-Model-in-Yelp-Dataset

This project aims to compare word embeddings generated using a custom FastText model trained on Yelp dataset with embeddings generated using a pre-trained FastText model from Facebook.

Garbage_Classification

MarwaShaaban20/3-bit-Arithmetic-Circuit-Using-Structural-Verilog

MarwaShaaban20/32-bit-Assembly-Floating-Point-Product-Calculator

MarwaShaaban20/Auto-Parallel-Parking-Car

Parallel Parking Car code ,with mathematical localization code and detailed Paper about the project.

MarwaShaaban20/CartPole-Reinforcement-Learning-Algorithms

This project implements three different reinforcement learning algorithms—Monte Carlo, Q-learning, and SARSA—on the classic CartPole problem.

MarwaShaaban20/char-generation-word-generation-RNN-LSTM-and-GRU-models

applying different RNN architecture to build character prediction model and a word based prediction model these model are trained on data of specific topics from wikipedia

MarwaShaaban20/Command-Line-Interpreter-

MarwaShaaban20/COVID-19-Chest-X-ray-Classification-KNN

project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. The system is designed to classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle

MarwaShaaban20/Drone-Dlivery-Agent_Project-

MarwaShaaban20/Fast-Text-Model-in-Yelp-Dataset

This project aims to compare word embeddings generated using a custom FastText model trained on Yelp dataset with embeddings generated using a pre-trained FastText model from Facebook.

MarwaShaaban20/Garbage_Classification

MarwaShaaban20/Hamming-Network-Unsupervised

MarwaShaaban20/Handwritten-Digit-Recognition-Centroids

MarwaShaaban20/HTML-Text-Processing-and-Unique-Word-Extraction

MarwaShaaban20/InceptionV1-and-GoogLeNet-model

MarwaShaaban20/Library-System-Database

MarwaShaaban20/MarwaShaaban20

Config files for my GitHub profile.

MarwaShaaban20/Multi-Dataset-Image-Classification-use-cnn-with-TensorFlow-MNIST-Fashion-MNIST-and-CIFAR-10

MarwaShaaban20/Neural-Network-Implementation-for-MNIST-Classification

This project implements a simple neural network from scratch to classify handwritten digits from the MNIST dataset. The code includes steps for data preprocessing, network training, and evaluation

MarwaShaaban20/Parcking-Garage-Application

MarwaShaaban20/ResNet-from-scratch-and-Pre-trained-classification

MarwaShaaban20/TF-IDF-from-Scratch-with-Text-Generation

This project aims to implement the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm from scratch in two different ways, accompanied by text generation methods. TF-IDF is a widely used technique in natural language processing and information retrieval to represent the importance of a term within a document relative to a collection of doc

MarwaShaaban20/Twitter-Sentiment-Analysis-using-CNN-

This project aims to perform sentiment analysis on a Twitter dataset using Convolutional Neural Networks (CNNs). The goal is to classify tweets into positive, negative, or neutral sentiments.

MarwaShaaban20/Value-Iteration-and-Q-values-Implementation-on-Grid-World

MarwaShaaban20/VGG16-from-scratch-and-pre-trained-with-mnist

VGG16 for MNIST Classification

MarwaShaaban20/Video-Subtitles-Detector

The Video Subtitles Detector is a program designed to detect and highlight subtitles within a video. It identifies the area containing the subtitles by drawing bounding boxes around them and further detects the location of each word within the subtitles. The program processes the video using basic filters and morphological operations, without relyi