mloss | Projects authored by lawrence murray.

LibBi 1.0.0

by lawmurray - June 23, 2013, 09:04:21 CET [ ] 10055 views, 2342 downloads, 0 subscriptions

About: Bayesian state-space modelling and inference on high-performance computer hardware.

Changes:

Initial Announcement on mloss.org.

Authors: Lawrence Murray
License: Gpl Version 2
Programming Language: C++, Perl

Operating System: Linux, Mac Os X
Data Formats: Netcdf
Tags: Particle Filter, Gpu, Bayesian, Gpgpu, High Performance Computing, Particle Markov Chain Monte Carlo, Sequential Monte Carlo, State Space Model

dysii Dynamic Systems Library 1.4.0

by lawmurray - December 17, 2008, 17:33:41 CET [ ] 11443 views, 3160 downloads, 0 subscriptions

About: 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 [...]

Changes:

Initial Announcement on mloss.org.

Authors: Lawrence Murray
License: Free Bsd
Programming Language: C++

Operating System: 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

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LibBi 1.0.0

dysii Dynamic Systems Library 1.4.0