Treba is a commandline tool for training, decoding, and calculating with weighted (probabilistic) finite state automata (WFSA/PFSA). Training algorithms include Baum-Welch (EM), Viterbi training, and Baum-Welch augmented with deterministic annealing. Treba is optimized for speed and numerical stability, and training algorithms can be run multi-threaded on hardware with multiple cores/CPUs. Forward, backward, and Viterbi decoding are supported. Automata for training/decoding are read from a text file, or can be generated randomly or with uniform transition probabilities with different topologies (ergodic or fully connected, Bakis or left-to-right, or deterministic). Observations used for training or decoding are read from text files compatible with AT&T finite state tools and OpenFST.
AbulEdu Calcul Mental is a software tool that trains children in mental calculation as stipulated by the French Ministry of Education for primary schools. Activities include addition, subtraction, multiplication of integers, addition tables (+2 to +9), times tables (x2 to x9), additional additives (to 10, to 100, to 1000), multiples (of 5, 10, 15, 20, 25 and 50), and orders of magnitude (with additions, subtractions, and multiplications). There is also an editor and selective launcher.
Inguma is a penetration testing and vulnerability research toolkit. The framework includes modules that discover hosts, gather information, fuzz targets, brute force user names and passwords and attempt exploits. While the current exploitation capabilities are limited, the program provides numerous tools for information gathering and target auditing.