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 🏗️

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

Markov Chains and Hidden Markov Models in Python

Multi-Touch Attribution

AWS Last Mile Route Sequence Optimization

音乐创作工具(基于马尔科夫链的和弦预测算法)

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]

Baum-Welch for all kind of Markov models

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.

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

Data visualizations for biomolecular dynamics

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

Predict the future words efficiently with the "Next Word Prediction Using Markov Model" project. Built in Python and powered by the `msvcrt` module, this academic initiative explores the Markov chain model to anticipate the most likely next word based on a given sequence.

Package for training Generalized Mixture Transition Distribution (MTDg) models