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
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Flexible tool for bias detection, visualization, and mitigation☆85Updated 5 months ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆191Updated last year
- ☆17Updated 3 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆23Updated last year
- Model verification, validation, and error analysis☆58Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- Triplot: Instance- and data-level explanations for the groups of correlated features.☆9Updated 4 years ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated last year
- ☆34Updated 3 years ago
- An R package to assess feature importance☆33Updated 4 years ago
- The Tidymodels Extension for Time Series Boosting Models☆57Updated 2 years ago
- Adaptive and automatic gradient boosting computations.☆69Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 10 months ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- GluonTS Deep Learning with Modeltime☆42Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆123Updated 3 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- ☆42Updated 4 years ago
- Fast approximate Shapley values in R☆123Updated last month
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last month
- Heterogeneous effects analysis of conjoint experiments using BART☆10Updated last year
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 5 years ago