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tensorflow/model-card-toolkitArchived

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Model Card Toolkit

The Model Card Toolkit (MCT) streamlines and automates generation of Model Cards [1], machine learning documents that provide context and transparency into a model's development and performance. Integrating the MCT into your ML pipeline enables the sharing model metadata and metrics with…

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www.tensorflow.org/responsible_ai/model_card_toolkit/guide
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  • AI Security and Red Teaming - Streamlines model documentation for transparency.
  • Developer Tools - Automates the creation of standardized model documentation.
452 stars·88 forks·Python·Apache-2.0·5 views

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Frequently asked questions

What does tensorflow/model-card-toolkit do?

The Model Card Toolkit (MCT) streamlines and automates generation of Model Cards [1], machine learning documents that provide context and transparency into a model's development and performance. Integrating the MCT into your ML pipeline enables the sharing model metadata and metrics with…

What are the main features of tensorflow/model-card-toolkit?

The main features of tensorflow/model-card-toolkit are: AI Security and Red Teaming, Developer Tools.

What are some open-source alternatives to tensorflow/model-card-toolkit?

Open-source alternatives to tensorflow/model-card-toolkit include: lutzroeder/netron — Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders… trigaten/learn_prompting — Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques… 0xax/erlang-bookmarks — All about erlang programming language [powerd by community]. 0xradi/ai-ml-security-reading-list. 21st-dev/magic-mcp — Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions… 0xerwin1/dbflux — A fast, keyboard-first database client built with Rust and GPUI.