simdkalman

Name	simdkalman JSON
Version	1.0.4 JSON
	download
home_page	https://github.com/oseiskar/simdkalman
Summary	Kalman filters vectorized as Single Instruction, Multiple Data
upload_time	2023-12-16 08:22:47
maintainer
docs_url	None
author	Otto Seiskari
requires_python
license	MIT
keywords	kalman kalman-filter smoothing em timeseries ekf
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            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.

See `full documentation <https://simdkalman.readthedocs.io/>`_.

            

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