A Non-Mathematical Introduction to Kalman Filters for Programmers

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • 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.

  • If you know a bit of Python and you find it sometimes tough to grind through a textbook, take a look here:

    https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

    Interactive examples programmed in Jupyter notebooks.

  • If you know a bit of Python and you find it sometimes tough to grind through a textbook, take a look here:

    https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

    Interactive examples programmed in Jupyter notebooks.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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