slds-lmu

slds-lmu's repositories

lecture_i2ml

I2ML lecture repository

Language:HTMLCC-BY-4.0139 12 626

yahpo_gym

Surrogate benchmarks for HPO problems

Language:Jupyter Notebook25 3 68

lecture_optimization

Language:TeXCC-BY-4.011 12 7

lecture_iml

Language:Jupyter NotebookCC-BY-4.0900

lecture_dl4nlp

Repo containing all the lecture material for the dl4nlp course

Language:TeXCC-BY-4.08 120

i2ml

https://slds-lmu.github.io/i2ml/

Language:MakefileMIT7 10 1

latex-math

Language:TeX7 13 10

hpo_ela

Language:R4 2 1

yahpo_data

Data required for slds-lmu/yahpo_gym

Language:RNOASSERTION4 2 4

wildlife-ml

Language:PythonLGPL-3.03 9 12

dl4nlp

https://slds-lmu.github.io/dl4nlp/

Language:MakefileMIT2 110

lecture_sl

Language:TeXCC-BY-4.02 7 64

paper_2023_survival_benchmark

Benchmark for Burk et al. (2024)

Language:RGPL-3.0200

vistool

Language:RGPL-3.02 8 9

wildlife-experiments

Language:Jupyter NotebookLGPL-3.02 10 8

benchmark_2022_counterfactuals

Benchmark code for paper on counterfactuals R Package

Language:R1 10 2

introduction_iml_bliz_summerschool

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.

Language:HTMLApache-2.0100

lecture_advml

Language:TeXCC-BY-4.01 9 14

lecture_service

Service repo for common infrastructure across all open source lectures

Language:RNOASSERTION100

mbt_comparison

Language:R100

paper_2023_cfml

Language:RGPL-3.0100

constraintmatch

Code for the paper "ConstraintMatch for Semi-constrained Clustering", published at the 2023 International Joint Conference on Neural Networks (IJCNN).

Language:PythonMIT090

gadget-reproducibility

MIT000

manifesto-domaintransfer

Language:Jupyter NotebookMIT000

msc_2024_centered-conditional-partial-dependence-plot

000

msc_2024_lime_regional_fidelity

000

paper_2023_ci_for_ge

Language:R000

paper_2023_regression_suite

Language:RLGPL-3.0000

paper_2024_guide_fi

Language:Jupyter Notebook000

randombot_ncar

Language:R000