GitHub / M-Nauta / PIPNet
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
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Stars: 43
Forks: 8
Open issues: 1
License: None
Language: Python
Size: 3.85 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: concepts, cvpr2023, disentangled-representations, explainable-ai, explainable-artificial-intelligence, image-classification, interpretable-deep-learning, interpretable-machine-learning, interpretable-ml, part-prototypes, prototypes, prototypical-learning, pytorch, transparency, xai