isaaccorley/mlp-mixer-pytorch
PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)
This is a tool for machine learning engineers and researchers working on computer vision tasks. It provides a way to build image classification models using a specific architecture called MLP-Mixer. You input an image, and the model outputs a prediction about what's in the image (e.g., 'cat', 'dog', 'car'). It's for those who want to experiment with or deploy MLP-Mixer models.
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Use this if you are a machine learning practitioner looking for a PyTorch implementation of the MLP-Mixer architecture for image classification.
Not ideal if you are not familiar with deep learning frameworks like PyTorch or do not have a computer vision task involving image classification.
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Language
Python
License
MIT
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Last pushed
May 13, 2021
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