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xmootoo/README.md

Welcome 👋🏼

I am a MSc Computer Science student with a passion for all things deep learning. I enjoy working on deep learning methods for time series, explainable AI (XAI), and uncertainty quantification, with a focus on applications to healthcare. When I'm not working on research, you can find me in my home studio working on an R&B beat 🎶 or on the court playing tennis 🎾.

For more info, visit my website at: xaviermootoo.com.

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  1. sss-official sss-official Public

    A framework for variable-length time series classification (VSTC) with local signal interpretability.

    Python 3

  2. conformal-fama-french conformal-fama-french Public

    Conformal time series forecasting of daily returns for the S&P 500 using Fama-French factors.

    Python 2

  3. ssl-seizure-detection ssl-seizure-detection Public

    Self-supervised learning with graph neural network backbones for seizure detection in iEEG data.

    Jupyter Notebook 9 1

  4. patchtstblind patchtstblind Public

    A blind reproduction of PatchTST model for time series forecasting.

    Python 5 1

  5. gsp-alzheimer-detection gsp-alzheimer-detection Public

    Applying the Graph Discrete Fourier Transform to EEG data for Alzheimer Disease detection.

    Jupyter Notebook 5 2

  6. Xanadu-Codebook Xanadu-Codebook Public

    Solutions to the Xanadu Quantum Codebook codercises.

    Jupyter Notebook 7 2