Skip to content

msramada/Extended-Kalman-Filter-UsingPyTorchAutoGrad

View on GitHub ↗Related repositories →

Uses PyTorch tensors and autograd | The extended Kalman filtering algorithm as a class: mean and covariance are attributes and propagation in time are methods | PyTorch autograd is used to return the jacobians of the state and measurement dynamics | Example.py presents a quick demo.

active 2024-03-142024-05-20 (UTC)

Complete coverage26,588 / 26,588 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
5
Pushes
1
Pull requests
0
Issues
0
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 68 days from 2024-03-14 to 2024-05-20. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
msramada1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.