Libraries tagged by classification

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

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A fully featured full text search engine written in PHP

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Symfony SonataClassificationBundle

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PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

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Fast and accurate natural language detection. Detector written in PHP. Nito-ELD, ELD.

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Taxonomies - categorization of domain models in PHP projects.

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a machine learning lib

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PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

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Netgen Tags Bundle is an Ibexa Platform bundle for taxonomy management and easier classification of content, providing more functionality for tagging content than ezkeyword field type included in Ibexa Platform kernel.

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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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Classification Tree lets you add new custom view with classification tree.

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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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A PHP adapter for the python deepface framework.

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OCHA Content Classification module

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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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