white_dune is a graphical VRML97/X3DV editor, simple NURBS/Superformula 3D modeller, animation tool, and VRML97/X3DV commandline compiler in development. VRML97 (Virtual Reality Modeling Language) is the ISO standard for displaying 3D data over the Web via browser plugins ("HTML for realtime 3D"). X3DV is the direct successor of VRML97. VRML97 and X3DV have support for animation, real-time interaction, and multimedia (images, movies, and sounds). white_dune can read, create, and display VRML97/X3DV files and let the user change the scenegraph/fields. It also has support for stereoscopic view via "quadbuffer"-capable stereo visuals, and support for 3D input devices like a joystick, spaceball, or magnetic tracker.
EDFbrowser is a multi-platform viewer for EEG, EMG, and ECG storage files. It supports the EDF, EDF+, BDF, and BDF+ file formats. It supports montages, annotations, precise measurements by using crosshairs, and a zoom function by drawing a rectangle with the mouse. It shows signals from different files at the same time. It includes a built-in EDF/EDF+/BDF/BDF+ to ASCII converter, a built-in Nihon Kohden to EDF+ converter (including annotations), a built in EDF+D to EDF+C converter, a BDF(+) to EDF(+) converter and a built-in EDF/EDF+/BDF/BDF+ compatibility checker.
Salad (short for Letter Salad) is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al. (RAID 2006). Salad is based on n-gram models, that is, data is represented as all of its substrings of length n. During training these n-grams are stored in a Bloom filter. This enables the detector to represent a large number of n-grams in little memory and still being able to efficiently access the data. Salad extends Anagram by allowing various n-gram types, a 2-class version of the detector for classification, and various model analysis modes.
BEAM is a toolbox and development platform for viewing, analysing, and processing of remote sensing raster data. Originally developed to facilitate the utilisation of image data from Envisat's optical instruments, BEAM now supports a growing number of other raster data formats such as GeoTIFF and NetCDF as well as data formats of other EO sensors such as MODIS, AVHRR, AVNIR, PRISM and CHRIS/Proba. Various data and algorithms are supported by dedicated extension plug-ins. It includes VISAT, an intuitive desktop application, a set of scientific tools running either from the command line or invoked by VISAT, and a rich Java API for the development of new remote sensing applications and BEAM extension plug-ins.
FeResPost is a library that allows the rapid development of small programs for the post-processing of Nastran or Samcef finite element results. The library allows easy manipulation of finite element models, groups, and results. Efficient post-processing is possible because the time-consuming operations are written in C/C++. The library is distributed as a COM component, a .NET assembly, as well as a Ruby compiled extension.
Thinknowlogy is grammar-based software, designed to utilize the Natural Laws of Intelligence in grammar, in order to create intelligence through natural language in software. This is demonstrated by programming in natural language, reasoning in natural language and drawing conclusions (more detailed than scientific solutions), making assumptions (with self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts in the knowledge. It builds semantics autonomously (with no vocabularies or words lists), detecting some cases of semantic ambiguity. It is multi-grammar, proving that Natural Laws of Intelligence are universal.
Slam is a mature IC Layout editor with the ability to edit very large designs (such as stream files larger than 10GB). Novel features include threading for redraw, support for displaying on multiple X servers simultaneously, and a Tcl interface to the database for user extensibility. The system is a library based system with multi-user support. Programmable structures (P-Cells) are available in Tcl. The editor includes gds input and output.
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.