A trainable Hidden Markov Model with Gaussian emissions using TensorFlow.js
> A WebSocket provider for Y.js that works with ActionCable
std-uritemplate implementation for TS/JS
Generate a slug – transliteration with a lot of options
bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.
React component for Tippy.js
A framework for responsive emails
GJS TypeScript type definitions for RB-3.0, generated from library version 3.0.0
A Markov string generator
A minimalistic 2-way binding system
High-performance (binary) tree and sorted map implementation (AVL, Splay, Radix, Red-Black)
Simple lib for letting JS talk to Flipper.rb
The Hashgraph Online Standards SDK provides a complete implementation of the Hiero Consensus Standards (HCS), giving developers all the tools needed to build wonderful decentralized applications on the Hashgraph network. https://hol.org
A general purpose markov chain generator
Markov analysis and generation functions supporting various applications by Music Artificial Intelligence Algorithms, Inc.
Client Side Validations Simple Form plugin
Client Side Validations made easy for your Rails 7.2 and 8.x applications
Diff and patch tables
The fastest Markov Chain library for JavaScript
NPM package to easily create and use Markov chains
Responsive, Lite & Mobile first React Images Carousel
No description provided.
clustering graph network by Markov Cluster Algorithm(MCL)
Set of addons to help with the activeadmin ui
markov chain management
CRM114.rb is a Ruby interface to the CRM114 Controllable Regex Mutilator, an advanced and fast text classifier that uses sparse binary polynomial matching with a Bayesian Chain Rule evaluator and a hidden Markov model to categorize data with up to a 99.87% accuracy.
CRM114.rb is a Ruby interface to the CRM114 Controllable Regex Mutilator, an advanced and fast text classifier that uses sparse binary polynomial matching with a Bayesian Chain Rule evaluator and a hidden Markov model to categorize data with up to a 99.87% accuracy.