DALEX
Model explainer
A tool to help understand and explain the behavior of complex machine learning models
moDel Agnostic Language for Exploration and eXplanation
1k stars
50 watching
166 forks
Language: Python
last commit: about 2 months ago
Linked from 3 awesome lists
black-boxdalexdata-scienceexplainable-aiexplainable-artificial-intelligenceexplainable-mlexplanationsexplanatory-model-analysisfairnessimlinterpretabilityinterpretable-machine-learningmachine-learningmodel-visualizationpredictive-modelingresponsible-airesponsible-mlxai
jphall663/awesome-machine-learning-interpretability
krzjoa/awesome-python-data-science
lopusz/awesome-interpretable-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 326 |
 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 |
| 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 |
 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 |
 mi2datalab/pybreakdown | A Python implementation of a method to explain the predictions of machine learning models | 41 |
 marcotcr/anchor | Provides a method to generate explanations for predictions made by any black box classifier. | 798 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 492 |
 neulab/explainaboard | An interactive tool to analyze and compare the performance of natural language processing models | 361 |
 thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 485 |
 trusted-ai/aix360 | A toolkit for explaining complex AI models and data-driven insights | 1,633 |
 deepset-ai/farm | An open-source framework for adapting representation models to various tasks and industries | 1,741 |
 h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 484 |