MLP Mixer
The unofficial implementation of MLP Mixer by Tolstikhin, Houlsby, Kolesnikov, Beyer et all based on the official JAX implementation.
Installation
You can install this package using pip simply by running following command.
pip install mlpmixer
Usage
import torch
from mlpmixer import MLPMixer
images = torch.randn(1, 3, 224, 224)
classifier = MLPMixer(
num_classes = 10,
num_blocks = 5,
hidden_dimension = 512,
tokens_mlp_dimension = 128,
channels_mlp_dimension = 128,
patch_size = 16,
image_size = 224
)
print(classifier(images))
1 maintainer
Metadata
1 maintainer
Release files for image-mixer 0.0.1
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| File | Interpreter | ABI | Platform | Actions Reset |
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| Tags | Python 3 |
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