A lightweight implementation of collaborative filtering.
Collaborative editing for ProseMirror
The library provides Yjs editor bindings for Lexical.
Shared Editing Library
Collection of libraries for building collaborative editing apps.
A complete chat solution.
The editing engine of CKEditor 5 – the best browser-based rich text editor.
Generates a set of Sanity patches needed to change an item (usually a document) from one shape to another
ProseMirror editor state
Keymap plugin for ProseMirror
ProseMirror's view component
Undo history for ProseMirror
List-related schema elements and commands for ProseMirror
Editing commands for ProseMirror
Basic schema elements for ProseMirror
ProseMirror's document model
Automatic transforms on text input for ProseMirror
A complete chat solution.
Filter object keys and values into a new object
ProseMirror document transformations
ProseMirror plugin for cursors at normally impossible-to-reach positions
Filter out reverted commits parsed by conventional-commits-parser.
Plugin utilities for Rolldown
Filter an array of objects to a specific OS
A Collaborative Filtering framework in Ruby.
Playground for collaborative filtering in Ruby using NArray and rb-gsl.
Recommendations for Ruby and Rails using collaborative filtering
It provides you easy way to calculate collaborative filtering using pearson correlation coefficient.
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
Meal recommedation engine based on collaborative filtering
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
Uses both collaborative and content-based filtering methods to enable a complex, hybrid recommendation engine.
Collaborative filtering for recommender system
Implementation of the weighted Slope One collaborative filtering/recommendation algorithm.
This gem provides recommendations by calculating similarity scores using the Jaccard Index, Dice-Sørensen Coefficient, and collaborative filtering.
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