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

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

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

rlabbe/Kalman-and-Bayesian-Filters-in-Python, dépôt open source à 19 464 étoiles sur GitHub. Carte Stable de RepoMasters. Kalman Filter book using Jupyter…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [rlabbe](https://repo.masters-masters.com/owners/rlabbe) |
| Étoiles | 19 464 |
| Forks | 4 535 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2014 |
| Rang | [Stable (5 000 à 19 999 ★)](https://repo.masters-masters.com/ranks/cult) |
| Voir sur GitHub | [rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |

## Fiche du dépôt

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.

Rang des dépôts qui ont 5 000 à 19 999 ★ sur GitHub. Probabilité publiée par carte tirée : 0,9 %. Rareté : Très rare.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.