ModelOriented / DrWhyLinks
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
☆688Updated 2 years ago
Alternatives and similar repositories for DrWhy
Users that are interested in DrWhy are comparing it to the libraries listed below
Sorting:
- moDel Agnostic Language for Exploration and eXplanation☆1,440Updated 2 months ago
- iml: interpretable machine learning R package☆501Updated 7 months ago
- 📍 Interactive Studio for Explanatory Model Analysis☆334Updated 2 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆193Updated last year
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆489Updated 3 years ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆741Updated last year
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- A list of software and papers related to automatic and fast Exploratory Data Analysis☆431Updated 5 months ago
- An R package that makes xgboost models fully interpretable☆256Updated 7 years ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆167Updated this week
- Multivariate Imputation by Chained Equations☆490Updated last week
- Time series analysis in the `tidyverse`☆632Updated last month
- Automate Data Exploration and Treatment☆534Updated 2 months ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆246Updated 5 months ago
- Tidy time series forecasting☆578Updated 3 weeks ago
- mlr3: Machine Learning in R - next generation☆1,033Updated this week
- Feature Extraction And Statistics for Time Series☆306Updated last month
- Modeltime unlocks time series forecast models and machine learning in one framework☆565Updated last month
- Mixed Effects Random Forest☆233Updated last year
- Tidy anomaly detection☆338Updated last year
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 8 months ago
- Variable Importance Plots (VIPs)☆188Updated last month
- Repository with code and slides for a tutorial on causal inference.☆579Updated 6 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- A collection of visual guides to help applied scientists learn causal inference.