Builtin Named Entity Recognition with Duckling
Builtin Named Entity Recognition with Microsoft Recognizers
A JavaScript library for escaping CSS strings and identifiers while generating the shortest possible ASCII-only output.
For ruby and ruby on rails
Named Entity Recognition
Ruby SemVer in TypeScript.
Convention over configuration for using Vite in Ruby apps
Like ruby's abbrev module, but in js
Ruby grammar for tree-sitter
prettier plugin for the Ruby programming language
WebSocket framework for Ruby on Rails.
JavaScript client for graphql-ruby
bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.
Convention over configuration for using Vite in Rails apps
realistic password strength estimation
A Stimulus Wrapper for Flatpickr library
Provide I18n to your React Native application
Prism Ruby parser
A pure JavaScript implementation of Sass.
Ruby on Rails unobtrusive scripting adapter
## Installation
Language agnostic named entity recognizer
Compass stylesheets
Subresource Integrity hashes for the Vite.js manifest.
NER using ONNX models via onnx-ruby and tokenizer-ruby. Extracts people, places, organizations, and other entities from text.
Ruby bindings for the redact-ner crate, providing Named Entity Recognition for PII detection using quantized ONNX models through the ONNX Runtime.
Ruby gem for running state-of-the-art language models locally. Access LLMs, embeddings, rerankers, and NER models directly from Ruby using Rust-powered Candle with Metal/CUDA acceleration.
High-performance ONNX Runtime bindings for Ruby using Rice. Run ONNX models locally for embeddings, classification, NER, and more.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com.