YigitTurali

AFS_BM-Algorithm

This project provides a comprehensive toolset for feature selection using LightGBM, a gradient boosting framework that uses tree-based learning algorithms. The primary goal is to improve model performance by selecting the most relevant features and discarding the redundant ones.

HydraViT

HydraViT is a PyTorch implementation of the HydraViT model, an adaptive multi-branch transformer for multi-label disease classification from chest X-ray images. The repository provides the necessary code to train and evaluate the HydraViT model on the NIH Chest X-ray dataset.

LGBM_MA

An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.

eee443final

ME_ML

Shell_App

Shell_App is an integrated data analysis and modeling platform, featuring scripts for EDA, ensemble techniques, LightGBM, and SARIMAX modeling. Designed for comprehensive data processing, the repository also includes deployment capabilities via Streamlit for interactive model interactions.

JointNet

JointNET is a deep learning model designed to predict active inflammation in sacroiliac joints using radiographs. Developed using a dataset of 1,537 grade 0 SIJs, the model showcases superior accuracy compared to human observers. This repository contains the code used in the development and validation of JointNET.