Unofficial keras(tensorflow) implementation of MAE model from Masked Autoencoders Are Scalable Vision Learners

Last update: Jun 12, 2022

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Overview

MAE-keras

Unofficial keras(tensorflow) implementation of MAE model described in 'Masked Autoencoders Are Scalable Vision Learners'. This work has been done on the basis of https://keras.io/examples/vision/image_classification_with_vision_transformer/, https://www.tensorflow.org/text/tutorials/transformer#positional_encoding, https://keras.io/examples/vision/image_classification_with_vision_transformer/

Currently, only pre-training model is supported. But you can easily fine-tune the model using its encoder part. It is not complete, flawless implementation, so its performance could be different from the paper. If there is anything to modify, please make it right :) Thanks.

Contact on my bio: [email protected]

Owner

Yewon

Computer Vision, Robotics

GitHub Repository

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Unofficial keras(tensorflow) implementation of MAE model from Masked Autoencoders Are Scalable Vision Learners

Related tags

Overview

MAE-keras

Owner

Yewon

CLNTM - Contrastive Learning for Neural Topic Model

Code for One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022)

TyXe: Pyro-based BNNs for Pytorch users

BanditPAM: Almost Linear-Time k-Medoids Clustering

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Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.

Moon-patrol - A faithful recreation of the 1983 hit classic Moon Patrol for the Atari 2600 created using the Pygame library for Python

Automatically replace ONNX's RandomNormal node with Constant node.

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

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Code for the paper "JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design"

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