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Siamese-Like Encoder v1.0_encoder

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@sergiosolorzano sergiosolorzano released this 28 Jun 18:10
· 3 commits to main since this release
v1.0_encoder
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Release:

Release Title: "Siamese-Like Encoder v1.0_encoder"
Tag: "siamese-like-v1.0_encoder"
The project is an experimental prototype for research and does not address full error handling or production standards, and it's rather a setup for quick prototyping

Description: Siamese-Like Encoder v1.0_encoder

Our approach aims at generating embeddings of record features with a neural network which will serve as inputs to a hierarchical clustering algorithm to clusters records.

We choose a siamese-like feed-forward neural network. It aims at setting entities apart in the representation space and based on the similarity of each record's feature embeddings.

Documentation
For detailed documentation, see the main project README.

Changes in this release

Initial release with full implementation.

Quick Start
You can execute requirements.txt. Tested on Python 3.13.3
See [https://github.com/sergiosolorzano/entity_resolution/blob/main/siameselike_encoder/README.md#usage)

Assets 3
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