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Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
Medical question and answer dataset gathered from the web.
Example of how to learn vector presentation of words in python using Gensim on english wikipedia articles.
Code for my master thesis in Deep Learning: "Generating answers to medical questions using recurrent neural networks"
Implementation of the depth-first gSpan algorithm for frequent graph mining in graphs data set. Finds possible frequent and canonical extensions of a given graph from a given set of graphs.