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The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Home Page: https://pair-code.github.io/lit

License: Apache License 2.0

Shell 0.08% JavaScript 2.28% Python 45.53% TypeScript 46.22% CSS 4.36% HTML 0.06% Liquid 0.60% Jupyter Notebook 0.77% Dockerfile 0.09%

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