Results for adaptive-gradient

A JS library to auto-suggest nice looking gradients and recommendation on font-color

Beautiful color gradients in terminal output

Use double-position gradients in CSS

A <LinearGradient> element for React Native

Provides a React component that renders a gradient view.

Minify gradient parameters with PostCSS.

Fast and small gradients manipulation, built on top of TinyColor

TypeScript definitions for gradient-string

Adaptive Cards Javascript library for HTML Clients

CSS color - Resolve and convert CSS colors.

a css gradient parser

visx gradient

Parse CSS3 gradient definitions and return an AST.

Gradient color component for Ink

Bot Framework Adaptive Dialogs runtime core components

<p> <a href="https://www.npmjs.com/package/@microsoft/teams.cards" target="_blank"> <img src="https://img.shields.io/npm/v/@microsoft/teams.cards/latest" /> </a> <a href="https://www.npmjs.com/package/@microsoft/teams.cards?activeTab=c

TypeScript definitions for gradient-parser

A small library to have any gradient follow along any SVG path

Adaptive Card data binding and templating engine for JavaScript

Common Expression Language

React Native for Web implementation of react-native-linear-gradient

An easy to use color/gradient picker for React.js

CSS Object Model implementation and CSS parser

Input a number between 0 and 1, get an rgb value on a smooth gradient from dark to bright

IrtRuby is a comprehensive Ruby library for Item Response Theory (IRT) analysis, commonly used in educational assessment, psychological testing, and survey research. Features three core IRT models: • Rasch Model (1PL) - Simple difficulty-only model • Two-Parameter Model (2PL) - Adds item discrimination • Three-Parameter Model (3PL) - Includes guessing parameter Key capabilities: • Robust gradient ascent optimization with adaptive learning rates • Flexible missing data strategies (ignore, treat as incorrect/correct) • Comprehensive performance benchmarking suite • Memory-efficient implementation with excellent scaling • Production-ready with extensive test coverage Perfect for researchers, data scientists, and developers working with educational assessments, psychological measurements, or any binary response data where item and person parameters need to be estimated simultaneously.