Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
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Updated
Feb 7, 2025 - Python
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
A list of research papers of explainable machine learning.
Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
Comprehensible Convolutional Neural Networks via Guided Concept Learning
A Python implementation of Word Mover's Distance that decomposes document level WMD into word level WMD for interpretable sociocultural NLP.
Explainable Boosting Machines
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