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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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khamies/README.md

Waleed Khamies - Applied ML Scientist

I am Waleed, applied machine learning scientist at NTWIST and on the PhD track at the University of Alberta, exploring the intersection of AI and healthcare.

Previously, I worked as a research engineer intern at Mila under the supervision of Liam Paull, where my research focused on developing deep learning models that are suitable to robotics applications in noisy scenarios. I received my master at AMMI in Mathematical sciences/Machine learning, where I worked in interpretability of reinforcement learning under the supervision of George konidaris, previously I received my bachelor degree at UofK in Electrical and electronics engineering, where I worked under the supervision of Benjamin Rosman.

No need to tell! feel free to explore my repos, and if you find something interesting for collaboration, or have some notes that help me improve, please drop me a message, I would love to hear your opinion, and suggestions.

By the way, if you feel too lazy to scroll! you can find an organized portfolio of my work 👉 here.

Also, If you are interested in learning more about Algorithms, Machine Learning, and Data Science, check my recent posts from 👉 here.

And finally, If you are interested in getting exclusive content and cheatsheets related to Artificial Intelligence, Machine Learning, and Data Science, join GradCorner newsletter from 👉 here.

Thank you!

Contacts 📫

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  1. LSTM-Variational-AutoEncoder LSTM-Variational-AutoEncoder Public

    A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

    Python 32 9

  2. T5-Fine-tune-Wikihow-XSum T5-Fine-tune-Wikihow-XSum Public

    This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.

    Python 2

  3. Piano-VAE Piano-VAE Public

    A pytorch Implementation of VAE-based musical model to generate and interpolate piano'notes using Nottingham dataset.

    Python 8 1

  4. montrealrobotics/BIV montrealrobotics/BIV Public

    IV for Deep Learning

    Python 1 1

  5. montaserFath/Reinforcement-Learning-for-Prosthetics montaserFath/Reinforcement-Learning-for-Prosthetics Public

    Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments

    Jupyter Notebook 8 3

  6. comparative-study-brain-registration comparative-study-brain-registration Public

    Comparative study of classical and deep learning methods for multi-modal brain image registration using the RIRE dataset.

    Jupyter Notebook 1