Skip to content
View haldonmez's full-sized avatar
24 followers · 24 following

Block or report haldonmez

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
haldonmez/README.md

Hi there, I'm Halil Dönmez

  • 🎓 I'm a final year computer engineering student at the Bilecik University.

  • 📚 I love learning new things, meeting new people and solving new problems!

  • 🤖 I'm currently learning everything about LLMs, RAGs, Machine and Deep Learning for holding it all together.

  • -👨‍💻 All of my projects are available at GitHub Profile


Skills
Domain Knownledge Machine Learning Deep Learning Natural Language Processing Software Development Data Science
Language Python
Data Analysis NumPy Pandas SciPy Matplotlib
Databases MySQL
Machine Learning Libraries Scikit-learn
Deep Learning Frameworks PyTorch TensorFlow Hugging Face

📊 GitHub Stats:

GitHub Streak Stats Top Languages

Connect with Me

GitHub LinkedIn Kaggle Hugging Face Medium Gmail Gmail

Pinned Loading

  1. dilective-app dilective-app Public

    This is the first implementation of a canvas input-output boilerplate will be designed to implement flask and python further ahead.

    JavaScript

  2. deneliz-app deneliz-app Public

    Deneliz is a gemini based system that inputs user's exams and outputs the points which they should focus on. Deneliz utilizes RAG and finetuning approaches for optimal results.

    Python 2

  3. spam-mail-detection spam-mail-detection Public

    This application aims to distinguish emails between spam or not. Used IMAP to connect to my mail to test and Flask to perform frontend. Further information is available in the repository.

    Jupyter Notebook

  4. handwritten-letter-recognition-model handwritten-letter-recognition-model Public

    This baseline model aims to use variety of handwritten letter datasets based in both Turkish and English to try and create a high percentage handwritten letter recognition model.

    Jupyter Notebook 1