Synchronous Petri Nets' emulator
QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать.
A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++.
That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline-related Inventory Management system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).
Graphical tool for data manipulation written in C++/QT.
Volbx is a graphical tool for data manipulation written in C++/QT. User can load data, filter, select, visualize, export and more using few clicks. Volbx reads, along with inner application format, xlsx and ods spreadsheet files. User can save output stream as csv or xlsx and plots as png files. Dynamic and interactive plots can be zoomed, moved, reset to initial state, quickly exported to clipboard and more. Application calculate dynamically such handy values as quantiles, standard deviation, average and more for given sample. This tool was originally created for real estate appraisal to give possibility, for people working in that area, to estimate past, current and future value of analysed properties. Project/start-up was dropped and decision about release of less specialized application was made. Most advanced and dedicated for real estates functionalities were cut but still some are quite useful. Used QT 5.3.2, QWT 6.1.1, QuaZip 0.7, Boost 1.55.0, MinGW 4.8.2
Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
ProbAbilistic CALculator - a package for computing with probability distributions
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites.
That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented Distribution System. It corresponds to the simulated version of the real-world Computerized Reservation Systems (CRS).
Plots Binomial and Poisson distributions based on different values of p and n to visually express, how much those distributions are "close"
Creates a data density plot of a 2 dimensional data distribution.
Shows the data density of a 2 dimensional distribution. The problem of showing data density visually is not mathematically well defined, and there are several methods. The program uses sum of reciprocal squared distance to calculate density at each point, with a smear factor to prevent points going to infinity. The smear factor also controls the amount of clustering. There are several options for colour output. Input is via a csv (comma-separated values) file. Now there's a nice GUI built in Baby X for Linux and Windows
Actuarial Visual Web environment. Computer Sciences Actuarial Mathematic Object Library and GUI. Non-linear stochastic asset model and linear asset models for actuarial use.
A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
Calculates how much time and money you need to win in the lottery. It uses multiple gthreads and gtk2 to sort 1 to 50 numbers until the user wins. Asking for the cost and time beetwin games, it calculates if you or your grandchildren will be rich.
That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented fare engine. It corresponds to the simulated version of the real-world Fare Quote System.
Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE
A collection of small utilities with a connection to cryptography and cryptanalysis. Written for efficiency and a small memory footprint.
The EconoMind is a utility that simulates the economy of a city, state, country, or planet at a specific level of technological development. It runs behind the scenes and provides supply, demand, and other information for games and other projects.
Facinas: Probabilistic Graphical Models is an extensive set of librairies, algorithms and tools for Probabilistic Inference and Learning and Reasoning under uncertainty. It implements all sort of Probabilistic Graphical Models using discrete and continuous distributions.
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. In the end, it prints out the set of largest frequency tuples that were still found significant. The GPU computing is implemented through CUDA and brings a significant performance increase. It is still possible to run FreDec solely on CPU, if no suitable GPU device is available in the system. See the details of the underlying theory in Baluev 2013, MNRAS, V. 436, P. 807 The description of the algorithm itself can be found in arXiv:1309.0100. Please go to the project forum to report any bugs.
Calculate various aspects of the Kontinuum RPG system.
Kontinuum is a calculator program that enables the user to calculate all probabilistic aspects of the Kontinuum RPG system, especially the dice rules.
This software computes likelihoods for infinitely-many-sites sequence data under multiple merger coalescents. The likelihood can be computed exactly or approximated via importance sampling.
MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
MultiNest is a Bayesian inference tool for efficient Bayesian analysis of highly complex probability distributions.
Open source, fast and simple neural processing MATLAB scripts, functions and algorithms. File IO, spike detection, signal processing, seizure detection, closed loop. Functions are compatible with Blackrock Microsystems NEV and NSx files.