earth-movers-distance
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Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
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Feb 27, 2023 - C++
Reducing MNIST image data dimensionality by extracting the latent space representations of an Autoencoder model. Comparing these latent space representations to the default MNIST representation
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Nov 9, 2021 - C++
3 part project: A. bottleneck autoencoder, B. manhattan distance, C. earth mover's distance
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Sep 22, 2021 - C++
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
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Mar 14, 2021 - C++
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
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Mar 5, 2021 - C++
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
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Mar 5, 2021 - C++
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Mar 2, 2019 - C++
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