HMM (Hidden Markov Model) is a toolbox for inferring and learning from discrete outputs (dhmm's), Gaussian outputs (ghmm's), or mixtures of Gaussians output (mhmm's). It supports discrete inputs, such as those used in POMDPs. Inference routines include filtering, smoothing, and fixed-lag smoothing.
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Mall Creeps
Generate interactive simulations of website and applications
Framework for creating and running Windows-based applications
Creates Windows executables from Java applications
CMATH offers high-performance, accurate & safe complex-number arithmetics & math in 3 float-point accuracies
Face identification and movement tracking for video surveillance systems
Generates serial numbers for different programs
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