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  1. A CUDA implementation of non-negative matrix factorization for GPUs.

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  2. Python code to do Conditional Restricted Boltzmann machine training applied to drum pattern generation.

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  3. Python module to train GMMs using CUDA

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  4. Python wrappers for fast NMF training using CUDA,MKL, and ATLAS

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  5. Forked from nitishsrivastava/deepnet

    Implementation of some deep learning algorithms.

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  6. Low-latency partitioned convolution on Linux and Mac

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