Libraries tagged by deep-learning

A high-level machine learning and deep learning library for the PHP language.

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

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PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool that is used to understand sentiments in a sentence using VADER (Valence Aware Dictionary and sentiment Reasoner).

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Experimental features for the Rubix ML library.

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Neural networks library for deep learning

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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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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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A dead simple neural network. For educational purposes only.

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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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Highly efficient, easy to use Neural Network

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Genetic AI that creates it deep learning network structure

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PHP Library for PropellerAi image recognition API

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Seamlessly integrate Grok AI into Laravel applications with an elegant, developer-friendly package. Leverage powerful AI models for chat, automation, and NLP while maintaining Laravel's expressive simplicity.

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Yandex.Translate uses a hybrid model of machine translation that includes both neural network (deep learning) and statistical approaches.

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