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multi-prototype-classifier

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Icold21 / FastKMeans

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A highly scalable, GPU-accelerated multi-prototype Soft K-Means classifier built on PyTorch. Engineered for massive datasets, extreme sparsity (e.g., TF-IDF NLP embeddings), and tens of thousands of classes. Features streaming/online learning, automatic centroid pruning, and mixed-precision Tensor Core support.

nlp machine-learning text-classification clustering pytorch classification gpu-acceleration k-means online-learning sparse-matrices machine-learning-models classification-models k-means-algorithm multi-prototype-classifier
  • Updated Apr 9, 2026
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