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Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
The main features of pengzhiliang/mae-pytorch are: Self-Supervised Pretraining.
Projects with overlapping indexed features include: alinlab/selfpatch. alpha-vl/convmae. apple/ml-aim — This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects. arshadshk/position-prediction-pretraining. beckschen/transmix — This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers, CVPR 2022. aimagelab/mapet.
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.