Cloud compute for python, js, cv, matlab, R, etc engines
Cloud compute for python, js, cv, matlab, R, etc engines
A collection of functional programming utilities inspired by Underscore and Functional JavaScript
Methods that's helps to work with css modules
Library for one-dimensional data classification and basic statistics
Developer productivity analytics — git commit collection, classification, and reporting
Evaluation metrics for machine learning
A morphological dictionary library.
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
A general classifier module to allow Bayesian and other types of classifications.
A Ruby library for text classification featuring Naive Bayes, LSI (Latent Semantic Indexing), Logistic Regression, and k-Nearest Neighbors classifiers. Includes TF-IDF vectorization, streaming/incremental training, pluggable persistence backends, thread safety, and a native C extension for fast LSI operations.
Character type classification/conversion for Japanese
http://www.mikeperham.com/2010/04/28/bayes_motel-bayesian-classification-for-ruby/
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.
Parses user agent strings and boils it all down to a few simple classifications.
Efficient text classification and representation learning for Ruby
Naitve Bayes for Food Category classification
A generalized framework for text classifications.
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