christophM/interpretable-ml-book
Book about interpretable machine learning
Interpretable Machine Learning researcher. Author of Interpretable Machine Learning Book: https://christophm.github.io/interpretable-ml-book/
Book about interpretable machine learning
Spiele für Statistiker Weihnachtsfeier
Python implementation of the rulefit algorithm
Talk about interpretable machine learning
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
R package to interface with OpenML
Generate Diverse Counterfactual Explanations for any machine learning model.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
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.
My personal website
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Script to generate datasets with GPT-3
My approach for the kaggle yelp competition http://www.kaggle.com/c/yelp-recruiting
The template repo for static site generation under Tiddlywiki
Data and runtime repository for the Water Supply Forecast Rodeo competition on DrivenData
Using R with Jupyter / RStudio on Binder
Course about interpretable machine learning
Code for the paper: Model-agnostic Feature Importance and Effects with Dependent Feature -- A Conditional Subgroup Approach
Lime: Explaining the predictions of any machine learning classifier
Crawls League of Legends matches
Conditional trees
Presentation: R, y u do dis
Graph and network visualization using tabular data in R
bentoML website and blog
A repository for R script that has been developed to make biomod2 more accessible. Designed for my students. Work in progress...
Trying out new ideas