Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

🚂 Python API for Emma's Markov Model Algorithms 🚂

🏗️ Statistical models for biomolecular dynamics 🏗️

Markov Chains and Hidden Markov Models in Python

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Multi-Touch Attribution

AWS Last Mile Route Sequence Optimization

Max-Margin Markov Graph Models for WordNet (EMNLP 2018)

Tools for estimating and analyzing Markov state models

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]

A python framework to run adaptive Markov state model (MSM) simulation on HPC resources

Data visualizations for biomolecular dynamics

An automatic improvisation software and an interactive installation that generates chord progressions and melodies on the fly, following the playing of the musician, understanding the modal changes and providing an artificial musical companion that could provide new unexpected composition ideas.

Baum-Welch for all kind of Markov models

Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning Model with assessment and performance.

Markify is an open source command line application written in python which scrapes data from your social media accounts and utilises markov chains to generate new sentences based on the scraped data

Stochastic Markov Games

Classical models implemented from a Markov operator's perspective

Package for training Generalized Mixture Transition Distribution (MTDg) models

Train Markov models on Internet Archive text files.