Welcome to scio’s documentation!#

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Confidence scores for Neural Networks, made easy!

scio me nihil scire”

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# Install from PyPI
* Coming soon... *

This Python library is meant for ML engineers, research scientists or amateur programmers, who wish to augment their Neural Network predictions with confidence scores. It applies to trained models, facilitating collaborative work and real-world deployment!

In this documentation, you will find hands-on Tutorials, extensive API References and scientific literature References. If you need to reach out to our community, please visit the GitHub repository.

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Getting Started
Follow along as we install scio and explore Tutorials!
Installation & Compatibility
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About scio
Learn more about the context of our project.
What is scio?
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API References
Get precise specifications for implemented functionalities.
API References
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Join our community!
Stay up-to-date with our project and ⭐ it on GitHub!
https://www.github.com/eliegoudout/scio

The source code for this documentation is released under the same license as the library’s.