Sparkier/luna

Luna is inspired by Lucid, a framework for Feature Visualization. However, Luna is built on Tensorflow 2, and thus supports modern models and deep learning techniques.

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Emerging

This is a tool for machine learning researchers and deep learning practitioners who want to understand how their neural networks interpret images. You input a trained image-based neural network model, and it helps you visualize what specific features or patterns the model has learned, showing you how it 'sees' different concepts. It's for those working on interpreting and explaining AI models.

No commits in the last 6 months.

Use this if you are a deep learning researcher trying to debug or gain insights into the internal workings of your Tensorflow 2-based image recognition models.

Not ideal if you need a production-ready tool for analyzing models, as this is currently research code under active development.

AI-explainability deep-learning-research computer-vision neural-network-interpretation model-debugging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

11

Forks

4

Language

Python

License

MIT

Last pushed

Aug 17, 2022

Commits (30d)

0

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