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

🚂 Python API for Emma's Markov Model Algorithms 🚂

Deep learning meets molecular dynamics.

:building_construction: Statistical models for biomolecular dynamics :building_construction:

Markov Chains and Hidden Markov Models in Python

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

Multi-Touch Attribution

R package for statistical inference using partially observed Markov processes

Markov Model libraries, optimized for cracking-focused password generations.

Easy Handling Discrete Time Markov Chains

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

How to analyze molecular dynamics data with PyEMMA

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)

Hubot watches all, and builds a markov model from everything you say.

A minimum viable Markov gibberish generator in 32 lines of Python, inspired by the legendary Mark V. Shaney program of 1980s

Password Generation using Markov models, Huffman trees, and Charles Dickens

Tools for estimating and analyzing Markov state models

:chart_with_upwards_trend:Markov Models for Health Economic Evaluations

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

An R package to calculate Elo ratings

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

MATLAB program to train and test a HMM model for stock market predictions

Diabetes prediction V1.0 uses the Markov Chains method. First, this VB6 application converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. Next, the transition matrix is further used for a prediction in a Markov chain.

Auto generate text using Markov models.

Baum-Welch for all kind of Markov models

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

ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis

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Learn linear algebra by applications in stoichiometry, steganography, static force analysis, and machine learning.