SerdarHELLI

Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net. The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and conditions.

MRZ_Passport_Reader_From_Image. MRZ Passport Reader from Image is a Python-based tool that automatically detects, segments, and extracts text from the Machine-Readable Zone (MRZ) of passport images. Utilizing deep learning models for segmentation and face detection, alongside EasyOCR for text recognition, it ensures accurate and efficient MRZ data extraction.

The-Classification-of-Thyroid-Tumors-on-UltraSound-Images-using-Deep-Learning-Methods. The Basic Classification

CiteTube. AI-powered YouTube video chat application. Ask questions about any YouTube video and get precise timestamped answers. Runs completely locally with no API costs - your privacy guaranteed.

xray-superres-enhancer. A FastAPI-based service for X-ray image enhancement using RealESRGAN. Supports DICOM and standard images with preprocessing, super-resolution inference, and optional CLAHE postprocessing.

SerdarHelli.

TuneCraft. A fun collection of notebooks for finetuning AI models... Share ready-to-run notebooks… tips & tricks for finetuning... Hugging Face Transformers, Unsloth, vLLM, PyTorch / CUDA magic

latent-diffusion_teeth_sub_repo. High-Resolution Image Synthesis with Latent Diffusion Models

SerdarHelli.github.io. Personal Web Page

SHORT-TERM-FORCASTING-COVID-19-IN-TURKEY. SHORT-TERM-FORECASTING-COVID-19-IN-TURKEY BY USING LSTM WITH TO COMPARE ARIMA, HWAAS, PROPHET The authors of this article are SERDAR HELLİ ,ÇAĞKAN DEMİRCİ,ONUR ÇOBAN ,and ANDAÇ HAMAMCI.