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README.md

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Some Algorthims I had implemented for Probability Graphical Models course at IIT - Delhi

  1. Bayes Ball - To identify indepencies and active trails

  2. Exhaustive Inference and Model Creation of OCR - character recognition

  3. Gibbs Sampling (a MCMC algorthim) - for Approximate inference on large datasets on advanced OCR Model

  4. POS and NER tagging of tweets - Linear chain CRF and HMM models of MALLET were used for feature strength

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