Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
Division Algorithms in FPGAs
Implementation of Probabilistic Retrieval Query expansion and Relevance Model based Language Modelling aimed at improving the precision of results using pseudo-relevance feedback in Information Retrieval.
This project aim to explore the different techniques of information retrieval. We implemented different probabilistic models and compared them to the vector space model and some machine learning models.
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