pbiecek / InterpretableMachineLearning2021Links
Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021
☆13Updated 4 years ago
Alternatives and similar repositories for InterpretableMachineLearning2021
Users that are interested in InterpretableMachineLearning2021 are comparing it to the libraries listed below
Sorting:
- Trees are all you need☆112Updated last year
- Fast approximate Shapley values in R☆125Updated 6 months ago
- The Tidymodels Extension for Bayesian Models☆55Updated 3 years ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆53Updated 4 years ago
- Extra recipes for predictor embeddings☆143Updated last month
- Dataflow Programming for Machine Learning in R☆147Updated this week
- An R implementation of TabNet☆114Updated 3 months ago
- Create a collection of modeling workflows☆95Updated 2 weeks ago
- ☆64Updated 2 years ago
- R interface to fast.ai☆118Updated 9 months ago
- A tidy unified interface to clustering models☆112Updated 3 weeks ago
- e-Rum2020 program and materials☆57Updated 2 years ago
- Course materials for Applied Machine Learning course in 2019 in London☆66Updated 5 years ago
- ☆10Updated 5 years ago
- Extensions for the DALEX package☆68Updated last year
- Boilerplate Code for tidymodels☆86Updated 2 weeks ago
- ☆177Updated 7 months ago
- Variable Importance Plots (VIPs)☆190Updated 2 months ago
- Hyperparameter optimization package of the mlr3 ecosystem☆59Updated 3 weeks ago
- CRAN Task View: Anomaly Detection☆110Updated last month
- Code and Resources for "Applied Machine Learning"☆163Updated 5 years ago
- Additional functions for model tuning☆63Updated 2 weeks ago
- Material for the useR2020 tutorial☆14Updated 5 years ago
- Speed Up Exploratory Data Analysis (EDA)☆138Updated last year
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- A guide for deploying Shinylive Python application into Github Pages☆135Updated last year
- The most recent version of the Applied Machine Learning notes☆101Updated 2 years ago
- R code to encode categorical features for machine learning☆15Updated 3 years ago
- ☆35Updated 5 years ago
- Tools for creating tuning parameter values☆116Updated 2 weeks ago