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1. Vecchia_Likelihood_Optimization Vecchia_Likelihood_Optimization Public

   The Vecchia likelihood is a popular approximation method in spatial statistics, especially when dealing with large datasets. It provides a computationally efficient way to estimate parameters witho…

2. content-base-image-retrival content-base-image-retrival Public template

   This project aims to improve the efficiency and precision of content-based image retrieval (CBIR) using deep neural networks. It is focused on overcoming traditional limitations associated with tex…

   Python

3. A-Deep-AUC-Maximization-DAM-for-Medical-Image-Classification A-Deep-AUC-Maximization-DAM-for-Medical-Image-Classification Public

   This project aimed to improve the generalization of DAM for small datasets in medical image classification.

   Python

4. Telecom-Customer-Churn_XGBOOST-LOGISTIC_REGRESSION Telecom-Customer-Churn_XGBOOST-LOGISTIC_REGRESSION Public

   This project involves predicting customer churn for a company in a particular industry. We will use market analysis data, as well as customer data, to build a predictive model for customer churn. T…

   Jupyter Notebook

5. CNN-Seperable-CNN-Fire-Image-Classification CNN-Seperable-CNN-Fire-Image-Classification Public

   Forked from mohamedmansour0/CNN-Seperable-CNN-Fire-Image-Classification

   Analyzing Fire and Smoke Images by Different Convolutional Neural Network Architectures

   Jupyter Notebook

6. Enhancing-MedViT-Incorporating-Adapter-Modules-for-Improved-Medical-Image-Classification Enhancing-MedViT-Incorporating-Adapter-Modules-for-Improved-Medical-Image-Classification Public

   In the medical ML community, small dataset classification is challenging due to diverse image types and applications. We'll use adapters, known for efficiency, to optimize this, transferring the ap…

   Jupyter Notebook