rlabbe/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.
Jupyter NotebookNOASSERTION
Watchers
- abhishekchakraborty
- antlyplsBerlin, Germany
- balipour
- bangtree
- batermjMETA4ALL
- Bivek
- brouhaha
- dotkwameLincoln, UK
- ducaOceaneering Int. Inc.
- fuchsto@MenloSystems
- gxhrid
- harrisong
- jstefanisFORTH
- kaspterGMT+8
- kkc@UmboCV
- lucasgeradsaixcon PowerSystems GmbH
- maphysart
- maxrosan
- mcero
- Mechenger
- mihaimaruseacGoogle
- mountainEarth
- mvazFrankfurt, Germany
- optimistxnone
- patrickward
- prudhommUniversity of Strasbourg
- r0k3
- rsvp@MathSci
- spurnayeBarclays Bank
- take-cheezeAzumino, Japan
- trycatcher
- vsraptor
- waipotn
- wanlinChina
- weaksauce
- webmavenAlbuquerque, NM