Libraries tagged by embedding

Multi-purpose text formatting and markup library. Plugins offer support for BBCodes, Markdown, emoticons, HTML, embedding third-party media (YouTube, etc...), enhanced typography and more.

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This package allows reading and writing of OLE (Object Linking and Embedding) compound documents. This format is used as container for Excel (.xls), Word (.doc) and other Microsoft file formats.

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A PHP library to deal with all those media services around, parsing their URLs and embedding their audio/video content in websites.

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An OpenAI REST API Client with support for ChatGPT, GPT-4, GPT-3.5, GPT-3, Codex, DALL·E, Whisper, Embeddings, Fine-Tuning and Moderation models. Includes fully typed Data Transfer Objects (DTOs) for all requests and responses and IDE autocomplete support.

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A PHP client for the Chroma Open Source Embedding Database

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Embedding Metabase

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ChromaDB Laravel is a Laravel client for the Chroma Open Source Embedding Database

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Adds a parser function embedding video from popular sources.

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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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This extension provides more privacy when embedding videos in frontend.

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Create embeddings for your Eloquent models to use with OpenAI

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PHP Interface for Babel Street Text Analytics

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Embedding Metabase on your PHP application

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A PHP implementation of Word2Vec, a popular word embedding algorithm created by Tomas Mikolov and popularized by Radim Řehůřek & Peter Sojka with the Gensim Python library.

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A structured way of embedding source analyzer metadata in Hack

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