DALEX

modeloriented/modelstudio328

Model explainer

A tool for creating interactive, model-agnostic explanations of machine learning models in R

explainx/explainx419

Model debugger

A framework to explain and debug blackbox machine learning models with a single line of code.

pbiecek/xaiaterum202052

Explainer

An R package and workshop materials for explaining machine learning models using explainable AI techniques

modeloriented/ibreakdown82

Model explainer

A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions.

rmarko/explainprediction2

Model explainer

An R package for explaining the predictions made by machine learning models in data science applications.

interpretml/dice1.4K

Model explanations

Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding.

marcelrobeer/explabox14

Model Explorer

An exploratory tool for analyzing and understanding machine learning models

mi2datalab/pybreakdown42

Model explainer

A Python implementation of a method to explain the predictions of machine learning models

marcotcr/anchor798

Explainers

Provides a method to generate explanations for predictions made by any black box classifier.

giuseppec/iml494

Model explainer

Provides methods to interpret and explain the behavior of machine learning models

neulab/explainaboard362

Model Comparer

An interactive tool to analyze and compare the performance of natural language processing models

thomasp85/lime486

Classifier explainer

An R package for providing explanations of predictions made by black box classifiers.

trusted-ai/aix3601.6K

AI Explainability Tool

A toolkit for explaining complex AI models and data-driven insights

deepset-ai/farm1.7K

Model adapter

An open-source framework for adapting representation models to various tasks and industries

h2oai/mli-resources483

Model interpreter

Provides tools and techniques for interpreting machine learning models