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Model Alignment is a python library from the PAIR team that enable users to create model prompts through user feedback instead of manual prompt writing and editing. The technique makes use of const…

Jupyter Notebook 19 2 Updated Oct 7, 2024

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

TypeScript 3,521 355 Updated Feb 13, 2025
JavaScript 1 Updated Jul 31, 2020

Source code/webpage/demos for the What-If Tool

HTML 933 172 Updated Sep 11, 2024

Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets

Scala 54 19 Updated Oct 16, 2023

Code for the TCAV ML interpretability project

Jupyter Notebook 634 151 Updated Jul 30, 2024

A WebGL accelerated JavaScript library for training and deploying ML models.

TypeScript 18,669 1,956 Updated Feb 13, 2025

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Jupyter Notebook 965 191 Updated Mar 20, 2024

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

TypeScript 8,484 951 Updated Aug 14, 2019

Visualizations for machine learning datasets

Jupyter Notebook 7,359 884 Updated May 24, 2023

An Open Source Machine Learning Framework for Everyone

C++ 187,962 74,501 Updated Feb 13, 2025
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