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riccardocadei/README.md

Hello World ๐ŸŒ,

I am Riccardo ๐Ÿ‡ฎ๐Ÿ‡น, 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 ๐Ÿ“ˆ,
  • Optimization ๐ŸŽฏ,
  • Statistics ๐Ÿ“Š,
  • Causal Inference โ‰๏ธ,

that I have solved and implemented during the last few years and I can share publicly ๐Ÿ”“.

For a ordered archive of these projects see: MY PORTFOLIO ๐Ÿ“ and don't hesitate to reach out at riccardo.cadei@ist.ac.at ๐Ÿ“ซ for any constructive discussion.

Enjoy the reading! ๐Ÿ“–

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

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

    Python 72 11

  2. photovoltaic-detection photovoltaic-detection Public

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

    Jupyter Notebook 33 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 14 4