Kalman-and-Bayesian-Filters-in-Python xhpmoonx · COMPLETED
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.
github.com/xhpmoonx/Kalman-and-Bayesian-Filters-in-Python · ★ 0 · Forks 0 · Size 576.3 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 10
Skips 0
COVERAGE
Analyzed 166 files · 1440 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
67 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
50 files · PRODUCTION, TEST
RabbitMQ MESSAGE_BROKER Depth 84
5 files · CONFIGURATION
TypeScript LANGUAGE Depth 53
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2014-04-28
Last commit 2024-07-15
Active months 82
Commits 1440