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GitHub / yifanzhang-pro / M-MAE

Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for ICML paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yifanzhang-pro%2FM-MAE

Stars: 8
Forks: 3
Open Issues: 0

License: None
Language: Python
Repo Size: 72.3 KB
Dependencies: 5

Created: 8 months ago
Updated: 26 days ago
Last pushed: 26 days ago
Last synced: 25 days ago

Topics: foundation-models, masked-autoencoder, masked-image-modeling, non-contrastive-learning, pretraining, self-supervised-learning

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    Dependencies
    requirements.txt pypi