Libraries tagged by Similarities

Compare two string and get a similarity percentage

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Collection of string similarity and distance algorithms in PHP including Levenshtein, Damerau-Levenshtein, Jaro-Winkler, and more

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SimHash similarities algorithm implementation for PHP 5.3

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Get text similarity level with Damerau-Levenshtein distance

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Provides the `LEVENSHTEIN()` and `LEVENSHTEIN_RATIO()` MySQL functions for Doctrine2.

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SimilaritySearch AI tool bridge for Symfony applications.

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Local text embeddings via PHP FFI, powered by embedding.cpp. No Python, no API calls, no external services at runtime.

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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, tokenization, POS tagging, speech synthesis, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com. Github: https://github.com/nlpcloud/nlpcloud-php

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PHPUnit assertions for comparing image similarity.

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Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

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Cosine similarity

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Build related content links using vector embeddings and pgvector for Laravel

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Simple PHP client for Qdrant vector database. Easy-to-use library for storing, searching, and managing vector embeddings in AI and machine learning applications.

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Collection of string similarity and distance algorithms in PHP including Levenshtein, Damerau-Levenshtein, Jaro-Winkler, and more

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PHP Interface for Babel Street Text Analytics

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