Naive Bayes classifier with verbose informations for node.js
TypeScript definitions for classificator
Search engine classificator
This library classifies the spreadsheet input file using a mapping with the desired column names.
Naive Bayes Classifier for node.js
Developer productivity analytics — git commit collection, classification, and reporting
Evaluation metrics for machine learning
A morphological dictionary library.
Library for one-dimensional data classification and basic statistics
A Rust library for running Edge Impulse Linux models
Classifications, comparator and equivalence class implementations
3D visualization, point clouds, and terrain mesh support for OxiGDAL
A tool to classify licenses used by the WhichLicense project
FFI-free Rust implementation of LIBSVM-compatible SVM training and prediction
Enterprise-grade incident management system for LLM operations
Packet loss classifiation algorithms
High-performance genomic sequence classification using minimizer-based k-mer sketching in RY space
Character type classification/conversion for Japanese
http://www.mikeperham.com/2010/04/28/bayes_motel-bayesian-classification-for-ruby/
A general classifier module to allow Bayesian and other types of classifications.
Classifies some countries phone numbers into :mobile, :forbidden and :landline
Resource for looking up NAICS and SIC codes
The International Standard Industrial Classification (ISIC) is a United Nations system for classifying economic data. The classification is based in four hierarchical levels: sections, divisions, groups and classes. This gem allows to classify an entity based on its ISIC code.
Classification of Chinese Standards ("CCS") are accessible via this gem.
Efficient text classification and representation learning for Ruby
Parses user agent strings and boils it all down to a few simple classifications.
Naitve Bayes for Food Category classification
A generalized framework for text classifications.
Parse and classify IPv4/IPv6 addresses with private, loopback, and multicast detection. Supports CIDR range operations including size calculation, membership testing, and enumeration. Built on Ruby stdlib ipaddr.