Pinned Repositories
Arithmetic-Operations-on-image
Perform various arithmetic operations on an input image, including addition, subtraction, multiplication, and inversion. These operations allow for manipulation of pixel values in the image, resulting in different visual effects.
Assignment_1
GameRental
GANs
Garbage_Classification
CNN model to classify garbage
Hamming_Network
Hamming Network implementation using PCA implementation from scratch
Handwritten-Digit-Classification-Using-K-Means-Clustering
Using K-Means clustering, with feature extraction comparison between centroid and chaincode methods.. The script implements K-Means clustering from scratch, performs feature extraction using both centroid and chaincode techniques, evaluates classification accuracy, and compares the effectiveness of the two feature extraction methods.
Handwritten-Digit-Recognition-with-Chaincode-Feature-Extraction
This script recognize handwritten digits using the MNIST dataset. Implementation using chaincode-based feature extraction, which offers an alternative method for capturing relevant information from digit images. The script divides the data into training and testing sets, utilizes a classifier, and evaluates its accuracy.
Image_Histogram_Analysis
Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.
ImageClassification
Aalaa4444's Repositories
Aalaa4444/GANs
Aalaa4444/Arithmetic-Operations-on-image
Perform various arithmetic operations on an input image, including addition, subtraction, multiplication, and inversion. These operations allow for manipulation of pixel values in the image, resulting in different visual effects.
Aalaa4444/Assignment_1
Aalaa4444/GameRental
Aalaa4444/Garbage_Classification
CNN model to classify garbage
Aalaa4444/Hamming_Network
Hamming Network implementation using PCA implementation from scratch
Aalaa4444/Handwritten-Digit-Classification-Using-K-Means-Clustering
Using K-Means clustering, with feature extraction comparison between centroid and chaincode methods.. The script implements K-Means clustering from scratch, performs feature extraction using both centroid and chaincode techniques, evaluates classification accuracy, and compares the effectiveness of the two feature extraction methods.
Aalaa4444/Handwritten-Digit-Recognition-with-Chaincode-Feature-Extraction
This script recognize handwritten digits using the MNIST dataset. Implementation using chaincode-based feature extraction, which offers an alternative method for capturing relevant information from digit images. The script divides the data into training and testing sets, utilizes a classifier, and evaluates its accuracy.
Aalaa4444/Image_Histogram_Analysis
Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.
Aalaa4444/ImageClassification
Aalaa4444/logistic-regression
Aalaa4444/Low_ExpertSystem
Aalaa4444/Machine_Learning
Aalaa4444/motoon_2022
Aalaa4444/naive-bayes-classifier
Aalaa4444/parkGarage
Aalaa4444/preprocessing-for-VITON-models
preprocessing for VITON models
Aalaa4444/RegressionModel
Aalaa4444/robofood
Aalaa4444/Student-Affairs-website
Aalaa4444/Text_Processing-and-Unique_Word_Extraction_fromHTML
Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Aalaa4444/TF-IDF-with-Text-Generation
Implement of 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 documents.