responsible-ai-toolbox
awesome-shapley-value
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| responsible-ai-toolbox | awesome-shapley-value | |
|---|---|---|
| 2 | 1 | |
| 1,208 | 127 | |
| 6.1% | 0.0% | |
| 9.6 | 3.2 | |
| 11 days ago | over 1 year ago | |
| TypeScript | ||
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
responsible-ai-toolbox
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Debugging Machine Learning "[N]"
http://erroranalysis.ai/ is a new open-source tool for in-depth understanding and diagnosis of Machine Learning Errors. The tool is available as a highly interactive jupyter widget and brings in several visualization primitives all centered around debugging activities in ML (main repo: https://github.com/microsoft/responsible-ai-widgets).
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[N] Visualize Your Model Errors! Microsoft Toolkit Identifies and Diagnoses ML Failures
The toolkit is on the project GitHub. Additional information is available on the Error Analysis website.
awesome-shapley-value
What are some alternatives?
DALEX - moDel Agnostic Language for Exploration and eXplanation
AIX360 - Interpretability and explainability of data and machine learning models
EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]
jupyter-annotate - Interactive Text Annotation for Jupyter Notebook/Lab
simple-data-analysis - Easy-to-use JavaScript library for most common data analysis tasks. [Moved to: https://github.com/nshiab/simple-data-analysis.js]
interpret - Fit interpretable models. Explain blackbox machine learning.
cumulocity-app-builder - The Application Builder for Cumulocity provides a simple, coding-free way to create new applications inside Cumulocity. Application Builder is an open-source tool for you to create web applications in a no-code environment. Created by Global Presales.