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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

JavaScript 2.14% Python 41.79% TypeScript 49.92% CSS 4.54% HTML 0.06% Shell 0.04% Dockerfile 0.08% Liquid 0.60% Jupyter Notebook 0.83%
machine-learning natural-language-processing visualization

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