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rlabbe / Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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19,475All-time #2,325
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4,537
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updated 2 years ago
Repository created
since 2014
Apps & systemsReading & learningJupyter NotebookLicense not declared
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Summarised by AI from the README; the original prevails

Author description: Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Basic listing based on official public information; functionality has not been independently evaluated.

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  • No license declared: commercial use and redistribution terms are unknown.
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Includes values estimated from GitHub history
19,39419,43519,47511-06 · 19,47510-0810-1310-1810-2310-2811-0211-06
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2026-11-06 14:20 UTC19,475Source
2026-11-03 08:23 UTC19,469Source

First collected 2026-11-03Measured at 2026-11-06 14:20 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.