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  • MI2.AI, Warsaw University of Technology
  • Warsaw, Poland
  • X @krzyzinskim

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krzyzinskim/README.md

Hi there! 👋

  • 👨🏻‍💻 I'm a member of MI².AI, where I'm working on explainable artificial intelligence and applications of machine learning in healthcare.

  • 👀 I'm interested in responsible machine learning but also in data visualization, statistics, functional data analysis, and climate science.

  • 📂 Some of my projects:

    • SurvSHAP(t) - the method developed for time-dependent explanations of survival models (with Python implementation)
    • survex - the R package providing model-agnostic explanations for survival models
    • Aspect - the module of the dalex Python package for global and local explanations that take into account the dependencies between the variables
    • artemis - the Python package with explanation methods for extraction of feature interactions from predictive models
    • treeshap - the R package for fast computation of SHAP values using TreeSHAP algorithm (mantaining and improving)
    • check my papers on Scholar

  • 👨🏻‍🎓 I'm studying Data Science at Warsaw University of Technology.

  • 📫 Reach me:

Pinned Loading

  1. MI2DataLab/survshap MI2DataLab/survshap Public

    SurvSHAP(t): Time-dependent explanations of machine learning survival models

    Jupyter Notebook 78 14

  2. ModelOriented/survex ModelOriented/survex Public

    Explainable Machine Learning in Survival Analysis

    R 96 10

  3. ModelOriented/DALEX ModelOriented/DALEX Public

    moDel Agnostic Language for Exploration and eXplanation

    Python 1.4k 165

  4. MI2DataLab/MI2DataLab_Seminarium MI2DataLab/MI2DataLab_Seminarium Public

    Materiały z seminariów prowadzonych w MI^2 DataLabie.

    HTML 31 21

  5. 2021L-WB-Book 2021L-WB-Book Public

    Forked from mini-pw/2021L-WB-Book

    TeX

  6. ModelOriented/DALEX-docs ModelOriented/DALEX-docs Public

    Documentation for the DALEX project

    Jupyter Notebook 34 39