GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rlabbe%2FKalman-and-Bayesian-Filters-in-Python
PURL: pkg:github/rlabbe/Kalman-and-Bayesian-Filters-in-Python
Stars: 17,829
Forks: 4,339
Open issues: 136
License: other
Language: Jupyter Notebook
Size: 563 MB
Dependencies parsed at:
0
Created at: about 11 years ago
Updated at: about 1 month ago
Pushed at: 11 months ago
Last synced at: about 1 month ago
Commit Stats
Commits: 1245
Authors: 117
Mean commits per author: 10.64
Development Distribution Score: 0.182
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/rlabbe/Kalman-and-Bayesian-Filters-in-Python
No dependencies found