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dimensionality-reduction-algorithms

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TorchSOM

michelin / TorchSOM

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torchsom: The Reference PyTorch Library for Self-Organizing Maps (JMLR 2026). GPU-accelerated SOMs with a scikit-learn API, clustering and visualization.

python machine-learning clustering som data-visualization pytorch gpu-acceleration kohonen clustering-algorithm self-organizing-map unsupervised-machine-learning pytorch-implementation just-in-time jmlr self-organizing-maps dimensionality-reduction-technique dimensionality-reduction-algorithms just-in-time-learning
  • Updated Oct 18, 2026
  • Python

wexionar / multi-dimensional-neural-networks

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N-Dimensional alternative to Neural Networks. SLRM-nD uses Simplex Sectoring for neural compression and regression in sparse hyperspaces (1000D+). Zero-latency inference, deterministic weights and ReLU bridge. Zero training, pure geometry.

python data-science machine-learning geometry optimization numpy machine-learning-algorithms efficiency regression high-dimensional-data artificial-intelligence neural-networks dimensionality-reduction optimization-algorithms artificial-intelligence-algorithms zero-shot-learning interpretability model-compression regression-algorithms dimensionality-reduction-algorithms
  • Updated Jan 27, 2026
  • Python

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