torchsom: The Reference PyTorch Library for Self-Organizing Maps

• URL: http://arxiv.org/abs/2510.11147v1
• Date: Mon, 13 Oct 2025 08:40:00 GMT
• Title: torchsom: The Reference PyTorch Library for Self-Organizing Maps
• Authors: Louis Berthier, Ahmed Shokry, Maxime Moreaud, Guillaume Ramelet, Eric Moulines,
• Abstract summary: torchsom is a Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch.<n>It relies on a PyTorch backend, enabling (i) fast and efficient training of SOMs through GPU acceleration, and (ii) easy and scalable integrations with PyTorch ecosystem.
• Score: 19.970928170720438
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper introduces torchsom, an open-source Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch. This package offers three main features: (i) dimensionality reduction, (ii) clustering, and (iii) friendly data visualization. It relies on a PyTorch backend, enabling (i) fast and efficient training of SOMs through GPU acceleration, and (ii) easy and scalable integrations with PyTorch ecosystem. Moreover, torchsom follows the scikit-learn API for ease of use and extensibility. The library is released under the Apache 2.0 license with 90% test coverage, and its source code and documentation are available at https://github.com/michelin/TorchSOM.

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