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Kalman filters vectorized as Single Instruction, Multiple Data

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Fast Kalman filters in Python leveraging single-instruction multiple-data vectorization. That is, running n similar Kalman filters on n independent series of observations. Not to be confused with SIMD processor instructions.

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