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

<https://repo.masters-masters.com/en/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python>

[Home](https://repo.masters-masters.com/en) › [rlabbe](https://repo.masters-masters.com/en/owners/rlabbe) › [Kalman-and-Bayesian-Filters-in-Python](https://repo.masters-masters.com/en/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python)

rlabbe/Kalman-and-Bayesian-Filters-in-Python has 19,464 stars on GitHub. Its RepoMasters card: Stable tier. Kalman Filter book using Jupyter Notebook. Focuses…

| Field | Value |
| --- | --- |
| Owner | [rlabbe](https://repo.masters-masters.com/en/owners/rlabbe) |
| Stars | 19,464 |
| Forks | 4,535 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2014 |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |

## Repository

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.

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.