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riccardocadei/README.md

Hello World 🌍,

I am Riccardo 🇮🇹, an enthusiastic researcher at Causal Learning and Artificial Intelligence Lab advised by Francesco Locatello (ISTA) and co-advised by Cordelia Schmid (Google Research).

Here you can find a collection of different packages, challenges and problems regarding:

  • Machine Learning 📈,
  • Optimization 🎯,
  • Statistics 📊,
  • Causal Inference ⁉️,

that I have solved and implemented during the last few years and I can share publicly 🔓.

For a ordered archive of these projects see: MY PORTFOLIO 📁 and don't hesitate to reach out at riccardo.cadei@ist.ac.at 📫 for any constructive discussion.

Enjoy the reading! 📖

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  1. vita-epfl/causalmotion vita-epfl/causalmotion Public

    [CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

    Python 73 11

  2. photovoltaic-detection photovoltaic-detection Public

    Detecting available rooftop area from satellite images to install photovoltaic panels - LESO-PB Lab @ EPFL

    Jupyter Notebook 36 11

  3. NSAPH-Software/CRE NSAPH-Software/CRE Public

    Forked from kwonsang/CRE

    The Causal Rule Ensemble Method

    R 13 5

  4. Higgs-Boson-Challange-2020-EPFL Higgs-Boson-Challange-2020-EPFL Public

    A classification problem on a big physical dataset simulated by the ATLAS experiment from CERN - @ EPFL

    Jupyter Notebook 7 2

  5. Robust-Journey-Planning Robust-Journey-Planning Public

    Robust and Efficient Journey Planning for Switzerland - @ EPFL

    Jupyter Notebook 4 1

  6. fbargaglistoffi/BCF-IV fbargaglistoffi/BCF-IV Public

    Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)

    R 15 4