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.
PRUN is a cluster job scheduler and parallel task executor system for Linux/Unix systems. Like other full-featured batch systems, it provides a job queueing mechanism, job scheduling, a priority scheme, resource monitoring, and resource management. PRUN is a simple, easy-to-use, full-featured, stable solution to run short-term or long-term jobs across the cluster.
Hierarchical Cluster Engine is a a solution that can be used to construct custom network meshes or distributed network cluster structures with several types of relations between nodes. It supports handling of management requests from multiple source points, native reduction of results from multiple nodes (aggregation, duplicate elimination, sorting, etc.), a powerful full-text search engine and data storage, transaction-less and transactional request processing, and many language bindings for client-side integration.