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ArashLagzian/README.md

Hi there πŸ‘‹

About Me:

πŸ”­ I’m working on Advanced AI research at the Sharif University of Technology. I'm also working on open-source AI projects that push the boundaries of what's possible.
πŸ‘― I’m looking to collaborate with: Researchers, developers, and companies interested in AI, especially in anomaly detection, medical imaging, and industrial applications.
🀝 I’m looking for help with Expanding my network of AI professionals and contributing to innovative projects in AI and machine learning. I'm also open to mentorship opportunities and guidance on publishing my research.
🌱 I’m currently learning New AI techniques and tools, with a special focus on deep learning and its real-world applications. I'm also exploring advancements in medical AI technologies.
πŸ’¬ Ask me about AI, anomaly detection, image processing, graph theory, and my journey through academia and industry. I'm also happy to share insights from my experience at Sharif University, Manopart, and NUS.
⚑ Fun fact: When I'm not delving into the world of AI, I enjoy exploring different cultures and cuisines, especially trying out new recipes in my kitchen. I believe that creativity in cooking often translates to creativity in problem-solving!

🌐 Socials:

Instagram LinkedIn Medium Stack Overflow X YouTube

πŸ’» Tech Stack:

C++ JavaScript Julia LaTeX Python R Windows Terminal Rust YAML Shell Script Google Cloud AWS FastAPI MySQL MongoDB Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub GitLab CI GitHub Actions

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote

πŸ” Top Contributed Repo


Popular repositories Loading

  1. Practical-TA-Class-Machine-Learning-Fall2021 Practical-TA-Class-Machine-Learning-Fall2021 Public

    practical ta classes in machine learning course (fall 2021) by me at sharif university. every notebook has its video link (Persian)

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  2. Practical-TA-Class-Deep-Learning-Fall2021 Practical-TA-Class-Deep-Learning-Fall2021 Public

    practical ta classes in deep learning course (fall 2021) by me at sharif university. every notebook has its video link (Persian)

    Jupyter Notebook 4

  3. python-engineer-notebooks python-engineer-notebooks Public

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  4. numpy-100 numpy-100 Public

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    A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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    Anomaly detection related books, papers, videos, and toolboxes

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