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lecture_service
Public- Benchmark for Burk et al. (2024)
lrz_configs
Publiclecture_optimization
Publiclecture_i2ml
Publiclecture_algods
Publiclecture_iml
Publicvistool
Publiclecture_sl
Publiclatex-math
Publici2ml
Publicpaper_2024_reshuffling
Publicr_exercises
Publicdl4nlp
Publiclecture_advml
Publiclecture_appml
Publicpaper_2023_ci_for_ge
Publicyahpo_gym
Publicyahpo_data
Publiclecture_i2dl
Publicwildlife-ml
Publicwebsite_theme
Publicpaper_2024_rpid
Publicgadget-reproducibility
Public- This repository provides a short introduction into the most popular model-agnostic IML (interpretable machine learning) methods. A presentation containing the theoretical background and examples as well as excercises on real-world data are included.
paper_2024_guide_fi
Public