Learning to Cluster. A deep clustering strategy.
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Updated
Jan 8, 2020 - Python
Learning to Cluster. A deep clustering strategy.
[AAAI2021] The code of “Similarity Reasoning and Filtration for Image-Text Matching”
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Compute Word Mover's Distance using a generic word embedding model
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Tensorflow implementation of paper ‘Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoder’ (NIPS18)
Finding the most similar textual documents using Case-Based Reasoning
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In this project, I've developed an application of Similarity Search in Metric Spaces by using Inverted Files. | Nilufa Yeasmin | https://www.linkedin.com/in/nilufayeasmin/
Similarity based dictionary featuring a map of the world highlighting translations
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