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add zeus
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README.md

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@@ -417,9 +417,7 @@ https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2011WR010608)
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> This package is a straight-forward port of the functions `hmc2.m` and
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`hmc2_opt.m` from the MCMCstuff matlab toolbox written by Aki Vehtari. The code
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is originally based on the functions hmc.m from the netlab toolbox written by
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Ian T Nabney. The portion of algorithm involving "windows" is derived from the C
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code for this function included in the Software for Flexible Bayesian Modeling
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written by Radford Neal.
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Ian T Nabney. The portion of algorithm involving "windows" is derived from the C code for this function included in the Software for Flexible Bayesian Modeling written by Radford Neal.
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<img src="./img/github.png" width="20" height="20"> [Repo](
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https://github.com/rmcgibbo/pyhmc) |
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## pysmc
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> pysmc is a Python package for sampling complicated probability densities using
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the celebrated Sequential Monte Carlo method.
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> pysmc is a Python package for sampling complicated probability densities using the celebrated Sequential Monte Carlo method.
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<img src="./img/github.png" width="20" height="20"> [Repo](
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https://github.com/PredictiveScienceLab/pysmc) |
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---
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## UltraNest
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> Nested Sampling Development Framework & UltraNest
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https://johannesbuchner.github.io/UltraNest/ultranest/) |
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<img src="./img/art.png" width="20" height="20"> [Article](
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https://link.springer.com/article/10.1007/s11222-014-9512-y)
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---
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## Zeus
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> zeus is a pure-Python implementation of the Ensemble Slice Sampling method.
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> >
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> * Fast & Robust Bayesian Inference,
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> * No hand-tuning,
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> * Excellent performance in terms of autocorrelation time and convergence rate,
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> * Scale to multiple CPUs without any extra effort.
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<img src="./img/github.png" width="20" height="20"> [Repo](
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https://github.com/minaskar/zeus) |
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<img src="./img/docs.png" width="20" height="20"> [Docs](
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https://zeus-mcmc.readthedocs.io/) |
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<img src="./img/art.png" width="20" height="20"> [Article](
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https://ui.adsabs.harvard.edu/abs/2020arXiv200206212K/abstract)

_layouts/default.html

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<li><a href="#simpleabc">simpleabc</a></li>
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<li><a href="#spotpy">SPOTPY</a></li>
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<li><a href="#ultranest">UltraNest</a></li>
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<li><a href="#zeus">Zeus</a></li>
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</ul>
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</nav>
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