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Demos showcasing TrustyAI's capabilities within Open Data Hub.

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OpenDataHub TrustyAI Demos

This repo contains a variety of demos showcasing TrustyAI's capabilities within Open Data Hub.

Caveat: These demos are tested and intended to work on Open Data Hub, there is no guarantee or expectation that they will work on Red Hat OpenShift AI.

Contents

  1. Installing OpenDataHub and TrustyAI: How to install Open Data Hub and TrustyAI on your cluster.
  2. Bias Monitoring: How to use TrustyAI to examine your deployed models for unfair biases.
  3. Data Drift: How to detect if the production data your models are receiving matches the data they were trained on.

Demos Coming Soon

  1. Anomaly Detection [Coming Soon]: How to identify and log anomalous inbound data, such as to clean or enrich your training data.
  2. Explainability [Coming Soon]: How to get per-point explanations of your models' predictions.

More information

Check out the TrustyAI Organization and our main repository!

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