MisaOgura/flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

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This toolkit helps AI practitioners understand why their neural networks make specific predictions on images. You input a trained image recognition model and an image, and it generates visual explanations like 'saliency maps' to show which parts of the image the network focused on. Data scientists and machine learning engineers can use this to debug models or build trust in AI systems.

745 stars. No commits in the last 6 months.

Use this if you need to interpret the decision-making process of your PyTorch-based image classification models.

Not ideal if your primary goal is to train new models or if you are working with non-image data.

deep-learning-interpretability computer-vision model-debugging AI-explainability image-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

745

Forks

88

Language

HTML

License

MIT

Last pushed

Sep 21, 2023

Commits (30d)

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