Semantic Human Versioning.
Human-friendly process signals
Generate human-readable ids from lists of easy-to-spell nouns and adjectives
Returns from a pool of 15m human-readable IDs
show seconds in a human-readable form
Presenting values in human-readable form.
Human-readable error messages for Ajv (Another JSON Schema Validator).
LangGraph
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition
User interface primitives for console applications
Fast HTML to markdown cross-compiler, compatible with both node and the browser
Converts a number to/from a human readable string: `1337` ↔ `1.34kB`
Format numbers for human consumption.
Human-friendly process signals. This is a fork of ehmicky/human-signals, but with CommonJS support.
ASN.1 encoder and decoder
Human readable time measurements
Print numbers in human readable format.
Map a BitTorrent peer ID to a human-readable client name and version
Parse a human name string into salutation, first name, middle name, last name, suffix. Parse an address into address, city, state, zip
An SVG inspector tool
Reads your git tags to generate a unique human-readable version for every git commit
Automated semver compliant package publishing
Convert number to a human readable string: `13500` → `13.5K`
YAML 1.2 parser and serializer
A gemified version of Marc Harter's humane-js.
A human readable and easy to remember version of Time.strftime.
Resolves foreign keys, enums, booleans and custom transformations from PaperTrail::Version into structured, UI-ready hashes.
Add .slugify to the string class so you can easily create a human readable but url safe version of a string.
Command-line version of the Upwords boardgame. Upwords is similar to Scrabble, except you can stack new letters on top of previously-played letters. Play with 1 to 4 human or computer players.
32-symbol notation for expressing numbers in a form that can be conveniently and accurately transmitted between humans. URL-friendly version of the base32-crockford gem.
Gengo is a service that offers various translation APIs, both machine and high quality human-sourced. The Gengo gem lets you interface with the Gengo REST API (http://developers.gengo.com/).Note: previous version of this library can be found at https://rubygems.org/gems/mygengo. All further updates will be made here.
Text-to-Speech converts text or Speech Synthesis Markup Language (SSML) input into audio data of natural human speech. Note that google-cloud-text_to_speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-text_to_speech instead. See the readme for more details.
Text-to-Speech converts text or Speech Synthesis Markup Language (SSML) input into audio data of natural human speech. Note that google-cloud-text_to_speech-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-text_to_speech instead. See the readme for more details.
AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models. Note that google-cloud-data_labeling-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_labeling instead. See the readme for more details.
ActiveGenie is an enabler for creating reliable GenAI features, offering powerful, model-agnostic tools across any provider. It allows you to settle subjective comparisons with a `ActibeGenie::Comparator` module that stages a political debate, get accurate scores from an AI jury using `ActiveGenie::Scorer`, and rank large datasets using `ActiveGenie::Ranker`'s tournament-style system. This reliability is built on three core pillars: - Custom Benchmarking: Testing for consistency with every new version and model update. - Reasoning Prompting: Utilizing human reasoning techniques (like debate and jury review) to control a model's reasoning. - Overfitting Prompts: Highly specialized, and potentially model-specific, prompt for each module's purpose.
Ditz is a simple, light-weight distributed issue tracker designed to work with distributed version control systems like git, darcs, Mercurial, and Bazaar. It can also be used with centralized systems like SVN. Ditz maintains an issue database directory on disk, with files written in a line-based and human-editable format. This directory can be kept under version control, alongside project code. Ditz provides a simple, console-based interface for creating and updating the issue database files, and some basic static HTML generation capabilities for producing world-readable status pages (for a demo, see the ditz ditz page). Ditz includes a robust plugin system for adding commands, model fields, and modifying output. See PLUGINS.txt for documentation on the pre-shipped plugins. Ditz currently offers no central public method of bug submission. == USING DITZ There are several different ways to use Ditz: 1. Treat issue change the same as code change: include it as part of commits, and merge it with changes from other developers, resolving conflicts in the usual manner. 2. Keep the issue database in the repository but in a separate branch. Issue changes can be managed by your VCS, but is not tied directly to code commits. 3. Keep the issue database separate and not under VCS at all.
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