pbiecek / InterpretableMachineLearning2020Links
Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
☆29Updated 5 years ago
Alternatives and similar repositories for InterpretableMachineLearning2020
Users that are interested in InterpretableMachineLearning2020 are comparing it to the libraries listed below
Sorting:
- Documentation for the DALEX project☆36Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Model verification, validation, and error analysis☆58Updated last year
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆22Updated last year
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Triplot: Instance- and data-level explanations for the groups of correlated features.☆9Updated 4 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 4 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- ☆8Updated 6 years ago
- Fast approximate Shapley values in R☆123Updated last month
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- Python implementation of R package breakDown☆43Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- Information and content from the STAT215A sections☆24Updated 7 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Friedman's H-statistics☆30Updated last month
- R package cfcausal☆29Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- Comparing different performance estimation methods for time series forecasting tasks☆37Updated last month
- Structure mining for xgboost model☆26Updated 4 years ago
- ☆17Updated 3 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago