Bayesian Filtering
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Kalman And Bayesian Filters In Python | 14,511 | 21 days ago | 104 | other | Jupyter Notebook | |||||
| 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. | ||||||||||
| Orocos Bayesian Filtering | 100 | 3 years ago | 24 | C++ | ||||||
| The orocos Bayesian Filtering Library | ||||||||||
| Activityspam | 19 | 10 years ago | 5 | apache-2.0 | JavaScript | |||||
| Bayesian spam filter for activitystrea.ms data | ||||||||||
| Epifilter | 11 | a year ago | MATLAB | |||||||
| Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches | ||||||||||
| Dont_bayes_me_bro | 8 | 9 years ago | mit | Ruby | ||||||
| Benchmarking bayesian filtering in Ruby | ||||||||||
| Bayesian | 5 | 11 years ago | Python | |||||||
| Bayesian filtering for lottery weibo | ||||||||||
| Trendpy | 5 | 5 years ago | 7 | May 28, 2018 | 3 | mit | Jupyter Notebook | |||
| Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/ | ||||||||||
| Kalman And Bayesian Filters In Python | 4 | 6 years ago | other | Jupyter Notebook | ||||||
| have some modifications. come from http://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python | ||||||||||
| Bayesian Mvpose | 4 | 3 years ago | mit | Python | ||||||
| code for ACCV 2020 "Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras" | ||||||||||
| Tweetfilter | 3 | 10 years ago | gpl-3.0 | Haskell | ||||||
| Bayesian Filtering for Twitter Spam | ||||||||||
Alternatives To Bayesian FilteringSelect To Compare
Alternative Project Comparisons
Readme
Code for Bayesian Filtering & Smoothing
This repo contains some demos which accompany the excellent Bayesian Filtering & Smoothing book by Simo Särkkä.
Along with the original code provided with the book (available on the book’s web page: https://www.cambridge.org/sarkka) I have included the Python code.
To view and execute the Jupyter notebooks in the cloud, simply press the launch-Binder button above, wait a few moments for the requirements to be fulfilled and then navigate to the desired demo file.
All the errors in the Python notebooks and scripts are obviously mine.
Popular Filtering Projects
Popular Bayesian Projects
Popular Data Processing Categories
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Jupyter Notebook
Book
Filtering
Bayesian