dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- URL: Project Homepage
- Supported Operating Systems: Linux, Unix
- Data Formats: None
- Tags: Distributed, Kalman Filter, Parallel, Particle Filter, Stochastic Differential Equations, Continuous Time, Dynamical Systems, Runge Kutta, Signal Processing, Unscented Kalman Filter
- Archive: download here
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