pbiecek

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

ema

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

breakDown

Model Agnostics breakDown plots

SmarterPoland

Set of tools developed by the Foundation SmarterPoland.pl [R package]

PogromcyDanych

ddst

R package for Data driven smooth tests

Talks

Conference talks and others

UPC_2023

Introduction to eXplainable Machine Learning (XAI) at UPC (BarcelonaTech)

EMR2023

Introduction to Responsible Machine Learning with examples in healthcare

bgmm

Gaussian Mixture Modeling algorithms. Including the belief-based mixture modeling [R package]

challenges-xai-aging-aaai23

Supplementary materials to "Challenges facing the explainability of age prediction models: case study for two modalities"

EuADS2023

EuADS Summer School – Data Science for Explainable and Trustworthy AI

CaseStudies2019W

explain_apartments

yet another modelStudio explainer, this time for apartment prices

mlr3book

Introduction to mlr3

pbiecek-website-old

My web page

pbiecek.github.io

My web page

mi2-website

ama

Adversarial Model Analysis. Red Team Notes

arborist

alternative interface to forester

BetaBit

Website for Beta Bit books

eXplain_stylometry

FoodCharts.jl

Code and data for Wykresy od kuchni

jak-zaliczyc-data-science

Jak zaliczyć Data Science?

mi2-summer-22

Summer internships at MI2 in 2022

proton-solutions

Solutions for the proton game

solutions42_ai

webpage of solutions42_ai

tennis_wta

WTA Tennis Rankings, Results, and Stats

tourr

A implementation of tour algorithms in R

xaitk.github.io

Website that hosts the open-source explainable AI toolkit (XAITK). Built with Minimal Mistakes in Jekyll