Libraries tagged by machine-learning

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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Grok PHP Client is a robust and community-driven PHP client library for seamless integration with Grok AI API, offering efficient access to advanced AI and data processing capabilities.

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Experimental features for the Rubix ML library.

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A modern PHP client for Weaviate vector database with comprehensive query capabilities and multi-tenancy support

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Laminas/Mezzio integration component for the Weaviate PHP client with dependency injection, multiple client support, and comprehensive configuration

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Wrapping Redis's sorted set APIs for specializing recommending operations.

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A simple php library for the google cloud vision API

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Deploy your Rubix ML models to production with scalable stand-alone inference servers.

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PHP-ML - Machine Learning library for PHP

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A laravel plugin to interact with AI providers

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A simple PHP AI agents library

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A powerful and easy-to-use PHP SDK for the OpenAI API, allowing seamless integration of advanced AI-powered features into your PHP projects.

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An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.

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Handwritten digit recognizer using a feed forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

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An introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

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