Search Results for "bayesian python" - Page 2
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Showing 42 open source projects for "bayesian python"
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RadicalSpam Virtual Appliance
Virtual Appliance of RadicalSpam
RadicalSpam Virtual Appliance takes full solution of RadicalSpam Community Edition , pre-installed in a OVF virtual machine ( Open Virtual Format ) compatible with the best virtualization platforms on the market , including VMware ESX Server. More information : http://www.radical-spam.org -
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RadicalSpam
Open Source Anti-Spam and Anti-Virus Gateway
RadicalSpam is a free and open source package distributed under GPL v2, including products such as Postfix, SpamAssassin Amavisd-new, Clamav, Razor, DCC, Postgrey, Bind; providing a secure SMTP relay, ready to use with linux and docker environement. More information : http://www.radical-spam.org -
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Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
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Open Bayes is a python free/open library that allows users to easily create a bayesian network and perform inference/learning on it. It is mainly inspired from the Bayes Net Toolbox (BNT) but uses python as a base language. www.openbayes.org
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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KolmoGNUS is a simple yet powerful program which recommends links to the user based on his tastes. Links are taken from selected del.icio.us feeds, and user tastes are learned with a bayesian inference technique.
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Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.
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Willow is a filtering proxy written in Python by Digital Lumber. They disappeared in 2009. David Bowman has collected the code of his old server and released it to Sourceforge in case others would like to use it.
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BASILISK is a probabilistic model of the conformational space of amino acid side chains in proteins. Unlike rotamer libraries, BASILISK models the chi angles in continuous space, including the influence of the protein's backbone.
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DANGLE: A Bayesian inferential prediction method for protein backbone dihedral angles and secondary structure assignments, solely from sequence information, experimental chemical shifts and a database of known protein structures and their shifts.
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Python Web Service that reads rss feeds and, using bayesian stats, reports how much you will like the articles.
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Reverned is a general purpose Bayesian classifier written in Python. It is designed to be easily extended to any application domain.
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RISO: distributed belief networks
Distributed, heterogeneous Bayesian belief networks
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions. -
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You can filter your email using a bayesian like statistical method. Written in 100% Python, easily extensible, and is used as a pop3 proxy to reduce the intrusion on your system.
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Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search.
