modelStudio
Model explainer
A tool for creating interactive, model-agnostic explanations of machine learning models in R
📍 Interactive Studio for Explanatory Model Analysis
326 stars
21 watching
32 forks
Language: R
last commit: about 1 year ago aiexplainableexplainable-aiexplainable-machine-learningexplanatory-model-analysishumanimlinteractiveinteractivityinterpretabilityinterpretableinterpretable-machine-learninglearningmachinemodelmodel-visualizationrvisualizationxai
Related projects:
| Repository | Description | Stars |
|---|---|---|
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,375 |
| modeloriented/ibreakdown | A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. | 81 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 492 |
 explainx/explainx | Provides a framework to understand and explain the behavior of machine learning models used in data science applications. | 417 |
 pbiecek/xaiaterum2020 | An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
 interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,364 |
 marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 15 |
| modeloriented/ingredients | Provides tools to assess and visualize the importance and effects of features in machine learning models | 37 |
 marcotcr/anchor | Provides a method to generate explanations for predictions made by any black box classifier. | 798 |
| modeloriented/randomforestexplainer | A set of tools to provide insights into the workings of an ensemble machine learning model. | 230 |
 h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 484 |
 mi2datalab/pybreakdown | A Python implementation of a method to explain the predictions of machine learning models | 41 |
| modeloriented/drwhy | A collection of tools and guidelines for building responsible machine learning models | 680 |
 tensorflow/model-analysis | Evaluates and visualizes the performance of machine learning models. | 1,258 |