Libraries tagged by Data Cleaning

Generic classes for creating datasets models and use them to validate data.

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A component that allows creating responsive HTML tables or lists from data object

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A component that allows creating forms with two-way binding from data object with default HTML fields and custom, like multi-block or AJAX-select.

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The assegaiphp/collections package is a powerful tool for creating and managing groups of related objects in your AssegaiPHP projects. With this library, you can easily organize and manipulate data in a variety of ways, such as arrays, lists, sets, and maps. The package offers a wide range of methods for adding, removing, and manipulating items, as well as sorting, searching, and filtering your collections. It is fully compatible with PHP 7.x and above and is designed to be lightweight and easy to use. Whether you're building a web application, a CLI tool, or a standalone script, assegaiphp/collections is the perfect choice for working with data. With its simple and intuitive interface, you can easily start working with collections in your project right away.

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

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PHP-ML - Machine Learning library for PHP

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Allows parsing data of various structures, meaning the population and validation of data into a defined structure. For example, converting an API request into a Data Transfer Object (DTO).

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Experimental features for the Rubix ML library.

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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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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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Generate random and meaningful data for objects

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Rinvex Statistics is a lightweight, yet detailed package for tracking and recording user visits across your Laravel application. With only one simple query per request, important data is being stored, and later a cronjob crush numbers to extract meaningful stories from within the haystack.

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

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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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