The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Interactively analyze machine learning models to understand their predictions and behaviors using a visual tool.
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lit has 3.7k stars on GitHub. It has been forked 371 times. lit is written mainly in TypeScript. It has been in active development since 2020. lit is available under the Apache-2.0 license. Its main topics are machine-learning, natural-language-processing, visualization.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
lit is an open-source project. It is released under the Apache-2.0 license.
Yes. lit is free and open source — you can use, modify and self-host it.
lit is available under the Apache-2.0 license.
lit is written mainly in TypeScript.
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