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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:

Mateusz Krzyziński's Projects

clean-fid icon clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

contextualized-topic-models icon contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

dalex icon dalex

moDel Agnostic Language for Exploration and eXplanation

hades icon hades

A powerful tool for comparing similarly structured documents

mico icon mico

MICO: Mutual Information and Conic Optimization for feature selection

nlp-2023w icon nlp-2023w

The repositiory for open source solutions designed and deleoped during NLP course conducted by Anna Wróblewska @ Warsaw University of Technology

survcfex icon survcfex

An R package offering counterfactual explanation methods for survival analysis models' predictions

treeshap icon treeshap

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

utils icon utils

my notes with useful packages, resources and functions

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