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  1. Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.

    Python 14 2

  2. Code implementing sequential Monte Carlo algorithms for probabilistic graphical models described in Naesseth, Lindsten and Schön, "Sequential Monte Carlo for Graphical Models", Advances in Neural I…

    Python 4 2

  3. Library for Bayesian inference using sequential Monte Carlo (particle filter, condensation, genetic, ...) methods.

    Python 2 1

  4. Code implementing the algorithms described in C. A. Naesseth, F. Lindsten, T B. Schön, Capacity estimation of two-dimensional channels using Sequential Monte Carlo, Proceedings of the 2014 IEEE Inf…


  5. An attempt to provide efficient resampling procedures, using Cython, for sequential Monte Carlo type algorithms, also known as particle filters.


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March 2021

2 contributions in private repositories Mar 6

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