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Coding
👨‍💻
Coding
  • KAL
  • Istanbul. Turkey
  • 20:51 (UTC +03:00)
  • X @kreytorn

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Kreytorn/README.md

Hi there 👋 I'm Kuzey TORLAK, an AI & ML enthusiast from Turkey.

🔭 Currently working on:

🏅 TEKNOFEST 2025: Polyp Segmentation Project 🚁 TEKNOFEST 2025: UAV Object Detection with UAV-DETR & MiDaS 🕹️ Minecraft AI Anti-Cheat System (C.L.A.R.A) 🤖 Custom LLMs and Transformer Architectures

🌱 I'm currently mastering:

Advanced Transformers (ViT, UAV-DETR, UNETR, Swin-UNETR) MONAI, PyTorch, Deep Learning optimization MAMBA models for NLP and Vision

👯 Open to collaboration on:

Transformer-based architectures Medical imaging (Polyp Segmentation) Real-time UAV vision systems

🤔 Looking for help with:

Custom vision transformers Temporal consistency in video detection

💬 Ask me about:

Machine Learning & Deep Learning Medical Imaging (DICOM, TIFF) NLP & Large Language Models Minecraft AI

📫 How to reach me: Email: [email protected]

Connect with me:

kreytorn kzytorlak kreytornkreyto

Skills:

python logo jupyter logo pandas logo numpy logo pycharm logo

GitHub Stats:

kreytorn
kreytorn

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  1. Rock-clasification-with-ResNet18 Rock-clasification-with-ResNet18 Public

    This project uses a custom-trained ResNet18 to classify different types of rocks into 7 subclasses and optionally into 3 main rock types: Igneous, Metamorphic and Sedimentary. It's built with PyTor…

    Jupyter Notebook

  2. SDSS-MLP-Classifier SDSS-MLP-Classifier Public

    A machine learning project using Sloan Digital Sky Survey (SDSS) data to classify celestial objects as Star, Galaxy, or QSO (quasar). The model is built using a Multi-Layer Perceptron (MLP) trained…

    Jupyter Notebook