Aliullah's repositories
Ali623.github.io
Personal Portfolio
Brain-tumor-diagnosis-using-SIFT-and-Deep-NN
Diagnosis of brain tumor with a data set of four classes using SIFT and Deep learning architecture
Brain-tumor-diagnosis-using-SIFT-and-SVM
Diagnosis of brain tumor with a data set of four classes using SIFT and Support Vector classifier
Classification-of-Iris-dataset-using-KNN-classifier
Classify iris flowers into their respective species using the K-Nearest Neighbors (KNN) algorithm. Explore the famous Iris dataset, conduct data preprocessing, and evaluate the model's classification performance. This project provides insights into machine learning classification with a well-known dataset.
made-template-ws2324
Template repository for the Methods of Advanced Data Engineering course at FAU
Network-dissection-Explainable-Machine-learning
Uncover the inner workings of neural networks using our eXplainable Machine Learning (xML) framework. Gain insights, visualize, and interpret your models for transparent AI. Explore our tools for model dissection and understanding. #AI #Interpretability
Panorama-Stitching-using-Sift-Surf-ORB-descriptors
This repository consists of a generalized Code implementation for SIFT, SURF and ORB descriptors for panorama image stitching
Semi-Supervised-object-detection
Explore our GitHub repository for a cutting-edge approach to object detection. Our semi-supervised framework leverages deep learning techniques to identify and separate objects from their backgrounds, even with limited labeled data. Unlock the potential for enhanced accuracy and efficiency in object detection tasks.
Titanic-Voyage-Insights
Dive into the Titanic dataset through thorough exploratory and visual analysis. Uncover insights into passenger demographics, survival rates, and more. This repository is a valuable resource for those interested in data exploration and visualization in the context of one of history's most famous maritime disasters.
Predictive-Homesteads-by-Dense-Neural-Network
Discover our GitHub repository dedicated to predicting housing prices using an advanced 6-layer neural network. This project leverages deep learning to model complex relationships and deliver accurate price predictions for real estate. Join us in the pursuit of more precise and powerful housing price forecasting models.
Predictive-Homesteads-by-Random-Forest
Predict housing prices with our Random Forest model. Dive into the world of real estate data analysis and forecasting.