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BabaSanfour/README.md

Hi 👋, My name is Hamza, and I ❤️ AI, Neuroscience and Open-Source 👨🏻‍💻

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I am a first year PhD student at the the faculty of medicine, Université de Montréal in Québec, Canada 🇨🇦, pursuing a degree in Biomedical Engineering. My passion lies in Artificial Intelligence 🤖, Neuroscience 🧠, Python programming 🐍, and open source projects :octocat:. I thoroughly enjoy learning and contributing in various ways, particularly through coding projects that not only delve into the science but also aim to vulgarize and make it accessible to everyone. In addition to my current studies, I recently obtrained a M.Sc in Artificial Intelligence from Mila/UdeM. Plus, I have a background in Telecommunication Engineering and Mathematics from my educational journey in Tunisia 🇹🇳. I am actively involved in various organizational activities within the university, such as clubs, hackathons, conferences, and workshops. I have contributed to building numerous communities from scratch ⚡. I recently developed an interest in Ethics and DEI in research as well as the misuse of AI in military applications.

Feel free to ask me anything (within reason). I am excited to absorb knowledge 🧠, gain experience 🏭, collaborate 🤝, and work on amazing projects 🏭 for the betterment of the world 🌍!

  • 📭 Reach out for help with M.Sc/PhD in Canada, AI, Python, and Neuroscience
  • Currently Supervised by Dr. Karim Jerbi (Head of Computational and Cognitive Neuroscience Lab - CoCo 🥥 Lab)
  • Funded by the Merit Scholarship from the AI Research Fund of the Faculty of Medicine
  • 💬 Let's embark on a profound exploration of consciousness, challenge the very nature of our reality and unravel the mysteries of our history, while venturing into the captivating realms of cosmology
  • 😄 Pronouns: He/Him

📫 How to reach me?

Some of my Github Public Stats 💻

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  1. Text-Classification--Classic-models-vs-BERT Text-Classification--Classic-models-vs-BERT Public

    Test classic models vs BERT performance on the IMBD movie review + a sneak peak on BERT attention weights

    Jupyter Notebook 2

  2. Algorithms-and-Graphs-Python Algorithms-and-Graphs-Python Public

    A collection of Python algorithms and graphs and their applications.

    Python

  3. MLP-ResNet18-MLPMixer-CIFAR10 MLP-ResNet18-MLPMixer-CIFAR10 Public

    Implement MLP, ResNet18 and MLPMixer from scratch (based on some torch functions) and compare their performance on CIFAR10

    Python 1

  4. GRU-vs-Transfomer-amazon-polarity-dataset GRU-vs-Transfomer-amazon-polarity-dataset Public

    GRU encoder-decoder and a Transformer implemented from scratch and compare their performance on amazon polarity

    Python

  5. SimSiam-SSL SimSiam-SSL Public

    SimSIam: A simple and effective method for Self-Supervised Learning (SSL)

    Jupyter Notebook 2

  6. Variational-Autoencoder Variational-Autoencoder Public

    A basic Variational Autoencoder implemented using a Gaussian Distribution with application.

    Jupyter Notebook