Christoph Molnar

@christophM · User

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Interpretable Machine Learning researcher. Author of Interpretable Machine Learning Book: https://christophm.github.io/interpretable-ml-book/

Munich1,935 followers49 repositories

Repositories

christophM/lime-1

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

★ 1RForks 0

christophM/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

★ 4PythonForks 2

christophM/awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

★ 4Forks 2

christophM/awesome-tabular-foundation-models

A curated collection of research on tabular foundation models: models pretrained on large-scale (synthetic) data that generalize to unseen tabular tasks at inference time.

★ 1Forks 0

christophM/kaggle-yelp

My approach for the kaggle yelp competition http://www.kaggle.com/c/yelp-recruiting

★ 2PythonForks 2

christophM/r

Using R with Jupyter / RStudio on Binder

★ 1Jupyter NotebookForks 0

christophM/lime

Lime: Explaining the predictions of any machine learning classifier

★ 2JavaScriptForks 0

christophM/All-purpose-biomod

A repository for R script that has been developed to make biomod2 more accessible. Designed for my students. Work in progress...

★ 1RForks 0