tensorflow/model-card-toolkit
A toolkit for automatically generating Model Cards that document machine learning model metadata, performance metrics, and responsible AI considerations.
Not currently ranked — collecting fresh signals.
star history
The Model Card Toolkit automates the creation of Model Cards, structured documents that provide transparency into how ML models were developed and how they perform. It integrates into ML pipelines, enabling model builders to share metadata, metrics, and context with researchers, developers, and other stakeholders. The toolkit supports responsible AI practices by standardizing how model information is communicated and documented.
Frequently asked
- What is tensorflow/model-card-toolkit?
- A toolkit for automatically generating Model Cards that document machine learning model metadata, performance metrics, and responsible AI considerations.
- Is model-card-toolkit open source?
- Yes — tensorflow/model-card-toolkit is open source, released under the Apache-2.0 license.
- What language is model-card-toolkit written in?
- tensorflow/model-card-toolkit is primarily written in Python.
- How popular is model-card-toolkit?
- tensorflow/model-card-toolkit has 452 stars on GitHub.
- Where can I find model-card-toolkit?
- tensorflow/model-card-toolkit is on GitHub at https://github.com/tensorflow/model-card-toolkit.