A pytorch package for non-negative matrix factorization.

A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

This repository summarizes techniques for KL divergence vanishing problem.

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

Repository for "Blending Data-Driven Priors in Dynamic Games" - RSS 2024

PyTorch implementation of α-geodesical skew divergence

PyTorch implementations of the beta divergence loss.

Change point detection using KL divergence

Implementation of KL Divergence and inverted vector model for plagiarism detection in text files

My MSc project on applying, tuning and modifying the PPO and A2C algorithms to Pettingzoo MARL library two player poker game

Python information theory computation

Replication of the research paper titled Auto-Encoding Variational Bayes.

Comparison of several approaches for the PRIvate ESTimation of KL-Divergence (PRIEST-KLD)

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

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

Forward Sampling-Conversion of BN

Variational autoencoders using Kera's modular design