explainerdashboard
Dashboard generator
A Python library for building interactive dashboards to explain machine learning models
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
2k stars
23 watching
330 forks
Language: Python
last commit: about 2 years agodashdashboarddata-scientistsexplainerinner-workingsinteractive-dashboardsinteractive-plotsmodel-predictionspermutation-importancesplotlyshapshap-valuesxaixai-library
Related projects:
| Repository | Description | Stars |
|---|---|---|
 explainx/explainx | A framework to explain and debug blackbox machine learning models with a single line of code. | 419 |
 interpretml/interpret | An open-source package for explaining machine learning models and promoting transparency in AI decision-making | 6,324 |
 shap/shap | Provides an algorithm to explain the output of machine learning models using game theory and Shapley values. | 23,077 |
 districtdatalabs/yellowbrick | Tools to facilitate the selection of machine learning models through visual diagnostics and analysis. | 4,304 |
 alibaba/pipcook | An open-source machine learning platform for web developers, providing a modular framework for building and deploying models | 2,551 |
 christophm/interpretable-ml-book | A comprehensive resource for explaining the decisions and behavior of machine learning models. | 4,811 |
 marcotcr/lime | A tool for explaining the decisions of machine learning models | 11,663 |
 pair-code/lit | An interactive tool for analyzing and understanding machine learning models | 3,500 |
 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 |
| interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,373 |
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,390 |
 understandable-machine-intelligence-lab/quantus | An eXplainable AI toolkit for evaluating and interpreting neural network explanations in various deep learning frameworks. | 567 |
 replicate/cog | A tool for packaging and deploying machine learning models in a standard, production-ready container environment. | 8,169 |
 ml-tooling/opyrator | Automates conversion of machine learning code into production-ready microservices with web API and GUI. | 3,116 |