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

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
https://pair-code.github.io/lit/

machine-learning natural-language-processing visualization

Last synced: about 2 months ago
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The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

• Host: GitHub
• URL: https://pair-code.github.io/lit/
• Owner: PAIR-code
• License: apache-2.0
• Created: 2020-07-28T13:07:26.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-04-17T02:42:03.000Z (5 months ago)
• Last Synced: 2024-04-18T05:18:56.810Z (5 months ago)
• Topics: machine-learning, natural-language-processing, visualization
• Language: TypeScript
• Homepage: https://pair-code.github.io/lit
• Size: 201 MB
• Stars: 3,386
• Watchers: 70
• Forks: 344
• Open Issues: 96
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-llm-interpretability - The Learning Interpretability Tool - an open-source platform for visualization and understanding of ML models, supports classification, refression, and generative models (text & image data); includes saliency methods, attention attribution, counter-facturals, TCAV, embedding visualizations, and facets style data analysis. (Table of Contents / LLM Interpretability Tools)
• awesome-llm-eval - LIT