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C++, Matlab and Python library for Hidden-state ConditionalRandom Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
Conrad is both a high performance ConditionalRandomField engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.