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A Python library implementing Self-Organizing Maps (SOM) with batch training, PCA initialization, and visualization tools.
A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.
A GPU-accelerated (CUDA) C++ template library for building and training artificial neural networks, including self-organizing maps and back-propagation networks.
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