interpret

jphall663/interpretable_machine_learning_with_python673

ML model transparency

Teaching software developers how to build transparent and explainable machine learning models using Python

interpretml/dice1.4K

Model explanations

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

christophm/interpretable-ml-book4.8K

Model Interpreter

A comprehensive resource for explaining the decisions and behavior of machine learning models.

pair-code/lit3.5K

ML Model Analyzer

An interactive tool for analyzing and understanding machine learning models

h2oai/mli-resources483

Model interpreter

Provides tools and techniques for interpreting machine learning models

explainx/explainx419

Model debugger

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

csinva/imodels1.4K

Interpretable model library

An open-source package that provides interpretable machine learning models compatible with scikit-learn.

applieddatasciencepartners/xgboostexplainer253

Model interpreter

Provides tools to understand and interpret the decisions made by XGBoost models in machine learning

selfexplainml/piml-toolbox1.2K

ML toolkit

A Python toolbox for developing and diagnosing interpretable machine learning models with low-code and high-code APIs.

ethicalml/xai1.1K

Bias analysis tool

An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance

oegedijk/explainerdashboard2.3K

Dashboard generator

A Python library for building interactive dashboards to explain machine learning models

modeloriented/dalex1.4K

Model explainer

A tool to help understand and explain the behavior of complex machine learning models

leesael/edit8

Model interpreter

An implementation of a method to interpret ensemble models by learning compact representations from them

clips/interpret_with_rules21

Rule induction tool

This project provides tools to induce rules from trained neural networks to explain model predictions and data patterns.

marcelrobeer/explabox14

Model Explorer

An exploratory tool for analyzing and understanding machine learning models