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@@ -26,7 +26,7 @@ or sequential Monte Carlo (SMC)).
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Installation and Testing
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------------------------
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To install the latest releast of dynamax from PyPi:
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To install the latest release of dynamax from PyPI:
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.. code-block:: console
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More information can be found in these books:
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* "Machine Learning: Advanced Topics", K. Murphy, MIT Press 2023. Available at https://probml.github.io/pml-book/book2.html.
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* "Bayesian Filtering and Smoothing, Second Edition", S. Särkkä and L. Svensson, Cambridge University Press, 2023. Available at http://users.aalto.fi/~ssarkka/pub/bfs_book_2023_online.pdf
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* "Bayesian Filtering and Smoothing, Second Edition", S. Särkkä and L. Svensson, Cambridge University Press, 2023. Available at https://users.aalto.fi/~ssarkka/pub/bfs_book_2023_online.pdf
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Quickstart
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----------
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* hmmlearn_: Numpy / C++ library for HMMs
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* linderman-ssm-jax_: JAX library for SSMs (replaced by dynamax)
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* linderman-ssm-numpy_: Numpy / numba / autograd library for SSMs (replaced by dynamax)
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* mattjj-pyhsmm_: Numpy / Cython library library for HMMs
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* mattjj-pylds_: Numpy / Cython library library for linear dynamical systems
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* mattjj-pyhsmm_: Numpy / Cython library for HMMs
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* mattjj-pylds_: Numpy / Cython library for linear dynamical systems
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* pgm-jax_: JAX library for factor graphs
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* JSL_: JAX library for SSMs (replaced by dynamax)
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* pykalman_: Numpy library for (extended) Kalman filtering
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