state-estimation-from-scratch Nikelroid · COMPLETED
Kalman and Extended Kalman filters implemented from scratch in NumPy: 4-state constant-jerk KF, EKF for joint state-and-parameter estimation with hand-derived Jacobians, and the 1,000-trial Monte Carlo sweeps showing the bias-variance tradeoff in the prior covariance.
github.com/Nikelroid/state-estimation-from-scratch · ★ 0 · Forks 0 · Size 221 KB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 3
Skips 0
COVERAGE
Analyzed 8 files · 1 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
NumPy LIBRARY Depth 62
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-08-14
Last commit 2026-08-14
Active months 1
Commits 1