awesome-explainable-graph-reasoning VS awesome-shapley-value

Compare awesome-explainable-graph-reasoning vs awesome-shapley-value and see what are their differences.

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning. (by AstraZeneca)
awesome-list Graph graph-algorithms Deep Learning explainable-ai explainable-ml graphml
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awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022) (by AstraZeneca)
Artificial intelligence Deep Learning Machine Learning Shapley shapley-additive-explanations shapley-value xai Data Science explainability explainable lime Shap explainable-ai explainable-artificial-intelligence explainable-ml shapley-decomposition shapley-q-value owen-value
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awesome-explainable-graph-reasoning awesome-shapley-value
1 1
1,934 127
0.3% 0.0%
0.0 3.2
about 2 years ago over 1 year ago
Apache License 2.0 Apache License 2.0
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awesome-explainable-graph-reasoning

Posts with mentions or reviews of awesome-explainable-graph-reasoning. We have used some of these posts to build our list of alternatives and similar projects.

awesome-shapley-value

Posts with mentions or reviews of awesome-shapley-value. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-explainable-graph-reasoning and awesome-shapley-value you can also consider the following projects:

awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

responsible-ai-toolbox - Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

AIX360 - Interpretability and explainability of data and machine learning models

shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]

DALEX - moDel Agnostic Language for Exploration and eXplanation

interpret - Fit interpretable models. Explain blackbox machine learning.

awesome-explainable-graph-reasoning vs awesome-project-ideas awesome-shapley-value vs responsible-ai-toolbox awesome-shapley-value vs AIX360 awesome-shapley-value vs shapley awesome-shapley-value vs shap awesome-shapley-value vs DALEX awesome-shapley-value vs interpret