22 packages tagged with “Markov”
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.
Lightning-fast .NET library for generating simple Markov chains
A lightweight, linq-friendly inference library for .NET
A Markov chain text generator.
An easy to use C# implementation of an N-state Markov model.
Generate random Shakespeare works from an existing corpus
A markov chain library for generating random text.
A markov-chain based sentence generation library.
A NuGet package for detecting gibberish text using a pre-trained Markov model.
Provides the data structures for the AtelierTomato.Markov project.
Provides storage interfaces for the AtelierTomato.Markov project.
Provides a storage implementation using Sqlite in order to store Sentences and WordStatistics.
A Bonsai package for hidden markov models. Interfaces with the SSM python package using the Bonsai.Scripting.Python package.
Provides the core logic for the AtelierTomato.Markov project, a library for generating sentences using Markov chains.
A C# library to detect gibberish text using a character-level Markov model
A package for visualizing data from the Bonsai.ML.HiddenMarkovModels package.
Librería de cadenas de Markov para .NET
VWAP Hidden Markov Model (Python)
Provides a parser and renderer for the AtelierTomato.Markov project, designed to work with Discord channels by utilizing data structures from Discord.Net.Core. This package does not handle direct communication with Discord; instead, it focuses on parsing and rendering text within Discord contexts.
MACD Hidden Markov Model (C#)
VWAP Hidden Markov Model (C#)
MACD Hidden Markov Model (Python)