Libraries tagged by Machine Learn

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

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Neural networks library for deep learning

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robust and community-driven PHP SDK library for seamless integration with the qwen AI API, offering efficient access to advanced AI and data processing capabilities

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

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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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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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BIIGLE module module for the Machine Learning Assisted Image Annotation method.

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An intelligent Git helper package for Laravel applications. It utilizes OpenAI's GPT to analyze your Git repository, providing features such as automatic generation of commit messages based on staged changes.

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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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