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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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A game theoretic approach to explain the output of any machine learning model.
Fit interpretable models. Explain blackbox machine learning.
A collection of infrastructure and tools for research in neural network interpretability.
StellarGraph - Machine Learning on Graphs
Algorithms for explaining machine learning models
moDel Agnostic Language for Exploration and eXplanation
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
⬛ Python Individual Conditional Expectation Plot Toolbox
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University