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Code implementation for paper 《Dimensionality Reduction by Learning an Invariant Mapping》

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
data		data
README.md		README.md
mnist_clip.py		mnist_clip.py
model.py		model.py
plot.py		plot.py
result.png		result.png
train.py		train.py
utils.py		utils.py

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RrLIM

A PyTorch implementation of 'Dimensionality Reduction by Learning an Invariant Mapping' which has published on CVPR (2006).

Requirement

python 3
pytorch 1.0
einops

Usage

To train the model, execute

python train.py

To test the model and plot the clusters after dimensionality reduction, execute

python plot.py

Result on MNIST:

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Code implementation for paper 《Dimensionality Reduction by Learning an Invariant Mapping》

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