LibBi is used for state-space modelling and Bayesian inference on high-performance computer hardware, including multi-core CPUs, many-core GPUs (graphics processing units), and distributed-memory clusters.
The staple methods of LibBi are based on sequential Monte Carlo (SMC), also known as particle filtering. These methods include particle Markov chain Monte Carlo (PMCMC) and SMC2. Other methods include the extended Kalman filter and some parameter optimization routines.
LibBi consists of a C++ template library and a parser and compiler, written in Perl, for its own modelling language.
PHP Clarke and Wright Algorithm is a class that can solve a truck routing problem with the Clarke and Wright algorithm. It attempts to solve the problem of determining the routes by which a given number of trucks with different weight and volume capacity will be dispatching deliveries to a certain number of clients distributed geographically within certain time windows.
The class takes as parameters the nodes of positions of each client, the demands of each client, a matrix of distance between nodes, and the capacity of each truck.
It computes the route for each truck, as well the time and distance to drive to each customer and the volume and weight to transport.
predictoR is a forecasting tool for time series. It uses the LTP (Long Term Prediction) R package and provides a Web interface through Rook, the internal Web server of R.
JuMiCycling is a PHP/MySQL based cycling statistics repository.
Verwandte ProjekteRoboCup tools, iReport-Designer for JasperReports, Shared Questionnaire System, Fess, phpGroupWare Japanese Project
The Graphical Models Toolkit (GMTK) is a toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs). It can be used for speech and language processing, bioinformatics, activity recognition, and any time series application. It features exact and approximate inference, many built-in factors including dense, sparse, and deterministic conditional probability tables, native support for ARPA backoff-based factors and factored language models, parameter sharing, gamma and beta distributions, dense and sparse Gaussian factors, heterogeneous mixtures, deep neural network factors, and time-inhomogeneous trellis factors, arbitrary order embedded Markov chains, a GUI graph viewer, and much more.
fswalker is an indexer and query tool for large filesystems. On large filesystems it is impossible to run tools such as du and obtain results in a reasonable time. fswalker crawls over a filesystem and populates a SQLite database containing information about each file. The fsq utility can then be used to query the database and obtain information much faster. It is intended that fswalk be run in a periodic manner so the sysadmin can monitor changes in the filesystem and produce reports.
JunkBox is a lightweight Web application that can track your files and record every single click. You can get the total number of hits and statistics on who downloaded your files, and how and when. It is completely transparent, so every link looks like an ordinary link to an ordinary file.
Verwandte ProjekteSmillaEnlarger, Programming Language ADP, 並列版SVM, MAGRO: MCMC Another Gibbs Sampler, iReport-Designer for JasperReports
indent-stat displays indentation statistics from files. It is a simple quality assurance tool to quickly see if there is varying indentation levels in files. The results are presented by file. A statistical summary is calculated at the end.
scikits.statsmodels is a Python package which provides a complement to scipy for statistical computations, including descriptive statistics and estimation of statistical models. The main included model categories are linear, discrete, generalized linear, and robust linear models, and, in time series analysis, AR, ARMA, and VAR. It also includes statistical tests mainly for regression diagnostics.
BitMeter OS is a bandwidth meter. It logs how much data is uploaded and downloaded from your system and records this information in an SQLite database. The database can be queried from the command-line or monitored in real time.
Libfbm is a C++ library for fast and accurate bulk-simulation of multi-dimensional (1D, 2D, 3D, .., 8D) Gaussian stationary processes, fractional Brownian motion, and fields with power-law power spectrum. It makes use of the circulant matrix embedding and FFT. Random number generation is provided by SFMT (SIMD-optimized Mersenne Twister) with a ziggurat based algorithm for normal distribution. For FFT functions, it depends on the FFTW library.
MeanWalker is a library which provides functions to sample from probability distributions (and to build histograms, etc.). To do this it, provides a way to take samples using the Metropolis-Hastings method, as well as the Goodman-Weare method.
HEALPix is a set of scientific tools implementing the Hierarchical Equal Area isoLatitude Pixelation of the sphere. As suggested in the name, this pixelation produces a subdivision of a spherical surface in which
every single pixel covers the same surface area. HEALPix provides various programs and libraries in C, C++, Fortran, GDL/IDL, Java, and Python which facilitate discretization, simulation, processing, analysis, and visualization of data on the sphere up to very high resolution. It is the state-of-the-art program used
in astronomy and cosmology to deal with massive full-sky data sets.
Verwandte ProjekteParticleFilter, Media Player Classic - Home Cinema, OneSQLiteAdmin, MPC-BE, MAGRO: MCMC Another Gibbs Sampler
statsd-go is a reimplementation of statsd in Go (forked from gographite) with Ganglia submission support.
YMMV Real Web Stats is a tool to be used in conjunction with Google Analytics to create a method to determine the accuracy of the data being retrieved. YMMV Real Web Stats is focused on tracking three areas: users who block ads, users who block Google Analytics, and users using noscript. YMMV Real Web Stats not only tracks users with this profile, but it offers a control log, so you can calculate the accuracy of your Google Analytics installation.