Motorsport is a project with a clear goal: to create the most realistic vehicle simulation possible. This includes cars and trucks, which can be driven using common input devices such as keyboards and steering wheels. It limits realism to what the hardware, and is intended for hardcore driving simulator fans. This means that it will try to have realistic physics, but not necessarily 'playable', 'easy', or 'fun' physics - these characteristics will depend on which vehicle is driven and on what a person is trying to drive it.
IMathAS (Internet Mathematics Assessment System) is a Web-based math testing and homework system. It is a light course/learning management system and testing system, similar to and inspired by WebWork and WIMS, and similar to textbook-bundled systems like iLrn and MathXL. It requires a browser with MathML and SVG support such as Firefox 1.5 or IE6 with plugins.
The Item Response Theory (IRT) library is a set of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the nominal response model, the graded response model, and smoothing by penalization and kernel. The project also hosts rirt, a package for the R Project for Statistical Computing, and eirt, an add-in for Excel.
trojuhelnik is a general solver for triangles. It computes all possible solutions for a triangle that is specified by an arbitrary triple of the following elements: sides, angles, altitudes, medians, angle bisectors, area, radius of circumscribed and inscribed circle, sum a+b, perimeter and difference of the angles. All other elements, triangle visualization, and graphs of elements dependencies are also available.
Evolving Games for Unnatural Intelligence is a Java package for unsupervised machine learning based on Evolutionary Game Theory on directed graphs. It is able to segment data without any previuos information on the number of segments. It has no GUI, but implements generalizations of the original method proposed by Li, Chen, He and Jiang in the arxiv paper "A Novel Clustering Algorithm Based Upon Games on Evolving Network", published on 30 Dec 2008.
SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.
Jasymca is an interactive system for solving math problems. It supports arbitrary precision numbers and symbolic variables. Scalars, vectors, and matrices can be built from all datatypes and used in calculations. From the pseudoinverse of symbolic matrices over trigonometric simplifications to symbolic solutions of integrals and systems of equations, the main functionalities of CAS-programs are provided. Additionaly, high performance numerical routines from LAPACK and a plotmodule are implemented. The user interface can be selected from either an Octave/Matlab/SciLab-like language or a GNU-Maxima style. Three versions of Jasymca are provided to cover almost any computer platform: a midlet version for portable devices like cell phones or PDAs; a Java application for desktop PCs, laptops, and workstations; and an applet which can be integrated in Web pages.