Search Results for "bayesian python" - Page 2

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

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

The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Browse all files' to download the professional version 2.4.3 build 14313. V1 development has been stopped in May 2014. Possibly there will be done some bugfixing until end...

A brief summary of the main features of Fesslix: - Perform non-intrusive reliability analysis or Bayesian updating either --- by running commands on the command line or --- by means of an Octave interface or --- by means of a Python interface - Flexible input language for writing Fesslix parameter files --- Control flow statements (e.g. if, for, while) --- Most parameters can be defined as functions - Working with response surfaces - Linear finite element analysis using truss, beam and plane stress/strain elements - Spectral Stochastic Finite Elements - Bayesian networks This is the download page for Windows executables of Fesslix.

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

A general purpose Bayesian Network Toolbox. This project seeks to take advantage of Python's best of both worlds style and create a package that is easy to use, easy to add on to, yet fast enough for real world use.

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

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.

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.

Bayesian anti-spam classifier written in Python.

A python/C++ framework for Bayesian phylogenetic analysis.

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.

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.

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.

Python Web Service that reads rss feeds and, using bayesian stats, reports how much you will like the articles.

This is a Python package for general Bayesian inference.

Reverned is a general purpose Bayesian classifier written in Python. It is designed to be easily extended to any application domain.

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.

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.

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.