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.
Biomechanical ToolKit (BTK) is a cross-platform library for biomechanical analysis. It can read and write a large variety of file formats used in biomechanics, and can modify them. All these operations can be done with the C++ API or with the wrappers included (Python, Octave, and Matlab). The goal of this project is to help the community share data without the restriction of the file format or the biomecanical model provided by the manufacturer of the acquisition system.
Mokka (MOtion Kinematics and Kinetics Analyzer) is a software solution for analyzing biomechanical data. It reads and writes C3D files and many other file formats, and allows you to visualize marker trajectories in 2D and 3D, and force platforms, segments, joint angles, forces, moments, and analog signals like EMGs.
sdvplayer is a tool to help you improve your vocabulary in a foreign language by watching movies with subtitles in that language. It allows you to look up the meaning of a word displayed in the subtitles just by clicking on it. The meaning will be printed right on the screen and the player will be paused. Playing can be resumed just by pressing the space bar. It can play movies in many of the formats supported by libav*. Subrip (.srt), microDVD, and subviewer subtitle formats are supported. The meaning can be looked up through an external command. The built-in dictionary parser can parse the stardict dictionary format.