hmmlearn

If you can measure it, consider it predicted

A demo for simple isolated Chinese speech word recognition using GMMHMM in Python

Discrete Hidden Markov Model (HMM) Implementation in C++

Hybrid Wasserstein + HMM Market Regime Detection

The overall goal of this project is to build a word recognizer for American Sign Language video sequences, demonstrating the power of probabilistic models.

Set of Hidden Markov Models to recognize words communicated using the American Sign Language

Python projects using the hmmlearn python library with performance analysis.

Projects from Udacity's Artificial Intelligence Nanodegree (August 2017 cohort) - TERM 1.

A regime-switching Monte Carlo engine for simulating equity price-path distributions and quantifying tail risk.

Intelligent system for pattern recognition: image, signal and text processing with deep learning and generative learning models.

Machine Learning based Personal Voice Assisstant and text independent (Development phase)

Create Plots for VirusHuntergatherer virus discovery output (hittables)

Machine Learning on Images and Audio

MFCC & HMM backend for MeTalkTalk

This project analyzes financial assets using a Hidden Markov Model (HMM) to identify different market regimes and patterns. The analysis includes calculating daily returns, rolling volatility, and volume changes, and visualizing the hidden states identified by the HMM.

Code used to generate results for my thesis comparing Hidden Markov Models and Dynamic Time Warping as time series classification tools.