How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
⬛ Python Individual Conditional Expectation Plot Toolbox
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
FairML: Auditing Black-Box Predictive Models FairML is a python toolbox auditing the machine learning models for bias.
Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation at ICML 2018, by Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan.
The main features of jianbo-lab/l2x are: Model Interpretation.
Projects with overlapping indexed features include: andosa/treeinterpreter — TreeInterpreter. austinrochford/pycebox — ⬛ Python Individual Conditional Expectation Plot Toolbox. benedekrozemberczki/shapley — The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021). bourdakos1/capsnet-visualization — 🎆 A visualization of the CapsNet layers to better understand how it works. cosmicbboy/themis-ml — A library that implements fairness-aware machine learning algorithms. adebayoj/fairml — FairML: Auditing Black-Box Predictive Models FairML is a python toolbox auditing the machine learning models for bias.
