This repository provides an unofficial PyTorch implementation of the MAE (Masked Autoencoders Are Scalable Vision Learners) paper. It implements the pretraining and fine-tuning processes for a vision transformer that learns by masking and reconstructing patches from images. The implementation includes shuffle/unshuffle operations for masked token handling and supports sine-cosine positional embeddings as described in the original paper.