carlx444

mlchartlib

Add accesibility, theming, and generating methods for plotly charts

fairlearn-dashboard

Dashboard for evaluating the fairness of models.

interpret-dashboard

ML Chart Lib

@responsible-ai/core-ui


@responsible-ai/fairlearn

This project provides responsible AI user interfaces for [Fairlearn](https://fairlearn.github.io) and [interpret-community](https://interpret.ml), as well as foundational building blocks that they rely on.

@responsible-ai/interpret


@responsible-ai/mlchartlib


@responsible-ai/fairness


@responsible-ai/localization


@responsible-ai/error-analysis


@responsible-ai/dataset-explorer


@responsible-ai/model-assessment


@responsible-ai/causality


@responsible-ai/counterfactuals


@responsible-ai/e2e

The Responsible AI sharable e2e tests package contains tests shared across RAI OSS and AML repo.

@responsible-ai/interpret-text

This library was generated with [Nx](https://nx.dev).

@responsible-ai/interpret-vision

This library was generated with [Nx](https://nx.dev).

@responsible-ai/forecasting

This library was generated with [Nx](https://nx.dev).