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Unco3892/README.md

  • 🕵🏻 Who am I? I'm a doctoral student at the University of Lausanne and a huge fan of open source projects (otherwise, why would I be on Github, right?!).
  • 🌱 What do I work on? I do research on uncertainty quantification for multi-modal machine learning, with a focus on integrating structured and unstructured data through novel statistical techniques.
  • 📫 How to reach me? If you wanted to grab a virtual coffee or just wanted to get in touch, you can drop me an email at first[dot]last[at]unil[.]ch

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  1. UncertaintyPlayground UncertaintyPlayground Public

    A Fast and Simplified Python Library for Uncertainty Estimation

    Python 10

  2. clear clear Public

    Code implementation for "CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk"

    Jupyter Notebook 6 1

  3. do-unil/mlba do-unil/mlba Public

    Official repository for the Machine Learning in Business Analytics course taught at HEC Lausanne.

    TeX 5

  4. modality-aware-conformal modality-aware-conformal Public

    Code implementation for "Conformal Calibration for Multi-Modal Regression with Missing Modalities""

    Python 3

  5. semf-paper semf-paper Public

    Code implementation for "SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals"

    Python 2

  6. sred_2022 sred_2022 Public

    Supplementary material for "Improving Real Estate Rental Estimations with Visual Data" by Ilia Azizi and Iegor Rudnytskyi.

    3