michelin/TorchSOM

TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a model trained in an unsupervised manner, that can be used for clustering, dimensionality reduction and data visualization. It is designed to be scalable and user-friendly.

GitHub repository with 33 stars and 2 forks.

Language: Python

Topics: clustering, clustering-algorithm, data-visualisation, dimensionality-reduction-algorithms, dimensionality-reduction-technique, just-in-time, just-in-time-learning, pytorch, pytorch-implementation, self-organizing-maps

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Latest metric snapshot

2026-06-05: 33 stars and 2 forks.

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