Machine learning, in numpy

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Bayesian hidden Markov models toolkit

Python toolkit for Visual Speech Recognition

Hidden Markov Models - Viterbi and Baum-Welch algorithm implementation in Python

Markov Chains and Hidden Markov Models to generate and correct sentences

SigMa is a probabilistic model for the sequential dependencies of mutation signatures

Compilation of Natural Language Processing (NLP) codes. BONUS: Link to Information Retrieval (IR) codes compilation. (checkout the readme)

A state-of-the art Hidden Markov Model Framework for Sentiment Analysis as well as Classification Tasks in general.

Detection of events described by hidden (semi-)Markov models in an audio stream

python pYIN

Hidden Markov models for word representations

This repo consists of the projects that I completed as a part of the Udacity's Artificial Intelligence Nanodegree's curriculum.

Sparse Mixture of Hidden Markov Models for Graph Connected Entities

Implementation of Particle Smoothing Variational Objectives

The goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model whic…

Implementations of HMM and GA models to find large combos in fighting games.

Sequence-function relationships with ML

USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami