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

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.

No topics

Jupyter Notebook

Other

Overview

Summary of the overall repo health

Adoption

Metrics on how many people know and interact with the repo

Stars

16,157

Open Issues

124

Forks

4,112

Top 1% by stars on GitHub

Excluding zero-starred repos

Contribution

Top Contributors

Top 10 contributors to the repo and their shares

Commits Properties

Metrics showing the quality of commits distribution

Bus Factor

Serious Ratio

Bus factor is less than 10

Diversity

Geo Distribution

Top locations by number of contributors and commits

commits

contributors

Org Distribution

Top organizations contributing to the repo

commits

contributors

Governance

Community governance docs check

Description
Website
Code of Conduct
Contributing.md
Issue Template
PR Template
License
README

More than half checks (5/8)