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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...
A GNU C and Java High Frequency Volatility Modeling Toolkit
A c library with a wrapper written in java for modeling high-frequency based volatility (HEAVY). The model is described in full detail by Shephard and Sheppard in http://www.nuff.ox.ac.uk/users/shephard/papers/heavy.pdf. Access to functions for forecasting volatility, distribution analysis, and Bayesian estimation are also available. Many of the features have been tested and seem to work. Bugs and breakdowns are always inevitable and the package will continuously be updated in the future...
A QGIS plugin to facilitate data processing for Bayesian spatial modeling. (doi: 10.1111/j.1600-0587.2010.06598.x) Alternative site: http://code.google.com/p/maps2winbugsplugin/
GSP program are based on Bayesian framework with an EM algorithm to predict genome size iteratively, which is elegant in mathematics. The model first develop under the no sequencing error model, then extend to the sequencing errors containing model.
Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Given a set of seismic arrivals for one or more events, Bayesloc estimates the joint probability of event locations, corrections to travel time predictions, precision of arrival time measurements, and phase labels for the arrival times. Bayesloc also accepts probabilistic prior constraints on any of the input parameters, which can significantly tighten the distribution of all parameters.
Bis-SNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels...
The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection).
BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
functs is a MATLAB class for Marginalize-Product-of-Functions (MPF) operations, which are commonly encountered in Bayesian inference, e.g., in sum product over probabilistic graphical models. functs abstracts multi-variate real functions over a grid.
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This is a C++ Bayesian network library, including support for inference, adding evidence, parameter learning, structure learning, and decision networks. There is an associated graphical interface called 'conductor'.
Surfovisor is a content-filtering software for small local networks including
many filters - IP:port black-list, URL black-list, URL white-list, bad word filter, bayesian filtering, file extension filter, application black-list.
An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
QHQ++ is a C++ library includes: QHQc++ (C++ Numerical Library), QHQmcmc++ (Markov Chain Monte Carlo C++ Library, Bayesian Statistics), QHQsv++ (Stochastic Volatility C++ Library, Finance), QHQyc++ (Yield Curve Modeling C++ Library, Finance).
Fast, intelligent, automatic spam detector using Paul Graham style Bayesian analysis of word counts in spam and non-spam emails. Filtering adapts to personal tastes automatically. No manual rule creation required. Intended for use with procmail, maild
bayes-irc provides a library and plugins for use in IRC Chat. The idea is to bring bayesian filtering known from E-Mail Spamfilters to IRC-Chatclients.
The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.
S2 (Spam Sentinel) aims to create an open source SMTP server implementing filtering techniques such as Bayesian to eradicate spam e-mails before they make it to your server.
SPAM-Buster is a Java application for filtering SPAM based on statistical algorithms (currently Bayesian). The platform independant application can be used as graphical end-user client and additional service for mail server.
Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.