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Yigtwxx/README.md

yigtwxx

🚀 About Me

💻 What I'm Up To

  • 🔭 Developing: Awesome-RAG-Production
  • 🌱 Learning: Advanced Deep Learning, MLOps, and Distributed Training
  • 👯 Collaboration: Eager to collaborate on innovative projects involving AI, Machine Learning, and Deep Learning, with a specific focus on NLP and Large Language Models (LLMs)

🧠 Focus & Insights

  • 🤝 Seeking Help: Model optimization and large-scale MLOps pipelines
  • 💬 Ask Me About: Python, PyTorch and Deep Learning.
  • Fun Fact: I like breaking models to understand them better.

📩 Contact & Career

 

Connect with me:

yiğit-erdoğan  Yigtwx  yigtwx

Languages and Tools:

docker  git  pandas  postgresql  python  pytorch  huggingface  scikit_learn  seaborn  tensorflow

GitHub Activity Graph languages graph

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  1. dl_xview_yolo dl_xview_yolo Public

    YOLOv8 implementation for remote sensing and satellite image analysis. Features custom tiling and inference pipelines for xView & DOTA datasets.

    Python 4 2

  2. Awesome-RAG-Production Awesome-RAG-Production Public

    A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.

    Python 1 1

  3. PredictaLM PredictaLM Public

    PredictaLM is a lightweight Turkish language model designed for next-word prediction and simple text completion tasks. The project demonstrates how a small neural language model can learn linguisti…

    Python 2 2

  4. FiratUniversityChatbot FiratUniversityChatbot Public

    Fırat University Assistant: An offline Turkish question-answering and document search system built on local PDFs using FastAPI, pdfplumber, and BM25.

    Python 3 2

  5. CANomaly-LSTM CANomaly-LSTM Public

    LSTM Autoencoder–based anomaly detection system for CAN-Bus traffic, featuring synthetic attack generation and reconstruction-error classification.

    Python 3 2

  6. CodeScope CodeScope Public

    CodeScope: A privacy-first, fully local RAG application to chat with your codebase using Ollama, LangChain, and Next.js.

    Python 1 1