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
167 forks
Language: Python
last commit: 3 months ago
Linked from 3 awesome lists
black-boxdalexdata-scienceexplainable-aiexplainable-artificial-intelligenceexplainable-mlexplanationsexplanatory-model-analysisfairnessimlinterpretabilityinterpretable-machine-learningmachine-learningmodel-visualizationpredictive-modelingresponsible-airesponsible-mlxai
Related projects:
Repository | Description | Stars |
---|---|---|
modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 328 |
explainx/explainx | A framework to explain and debug blackbox machine learning models with a single line of code. | 419 |
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. | 82 |
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. | 1,373 |
marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 14 |
mi2datalab/pybreakdown | A Python implementation of a method to explain the predictions of machine learning models | 42 |
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 | 494 |
neulab/explainaboard | An interactive tool to analyze and compare the performance of natural language processing models | 362 |
thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 486 |
trusted-ai/aix360 | A toolkit for explaining complex AI models and data-driven insights | 1,641 |
deepset-ai/farm | An open-source framework for adapting representation models to various tasks and industries | 1,743 |
h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |