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average-KL-divergence-calculator.py is a Python script that calculates the average KL divergence for each FASTA file in a directory and produces separate output files and a combined output file with the results.
Implementation of the Non-negative Multiple Matrix Factorization (NMMF) algorithm proposed in Takeuchi et al, 2013 with some modifications. There is a python native version NMMFlexPy and a R wrapper NMMFlexR
Implementing various measures of paraphrase detection on Microsoft Paraphrase Corpus and checking their performance on original high dimension TF-IDF matrix and it's low dimension approximation
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay