Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp

An Open Source Tool for Analyzing Discrete Markov Chains.

Project done for Honors Dissertation, generates Singlish text using trained discrete time Markov models

Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson

json meets markov chains

Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

Generate a Fake Abstract Based on CVPR Entries from the last 5 years

A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.

This repository represents my journey in NLP as everything is in order how I proceeded to learn NLP

Código curso Artificial Intelligence with Python sobre cadenas de Markov y hidden Markov models para el módulo de Modelos de Inteligencia Artificial del curso de especialización en IA y Big Data del IES de Teis