Libraries tagged by cross validation

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

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An intelligent code generator for Laravel framework that will save you time! This awesome tool will help you generate resources like views, controllers, routes, migrations, languages and/or form-requests! It is extremely flexible and customizable to cover many on the use cases. It is shipped with cross-browsers compatible template, along with a client-side validation to modernize your application.

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Framework-agnostic PHP database library with unified API for MySQL, MariaDB, PostgreSQL, SQLite, MSSQL, and Oracle. Query Builder, caching, sharding, window functions, CTEs, JSON, migrations, ActiveRecord, CLI tools, AI-powered analysis. No framework dependency.

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The Package provides a form component for php to process and validate html forms. A form helper is also included to render your form in html markup (php oder smarty templates).

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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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An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.

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Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

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High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.

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Bundle to integrate naucon form package into the Symfony framework.

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The [Invoicetronic API][2] is a RESTful service that allows you to send and receive invoices through the Italian [Servizio di Interscambio (SDI)][1], or Interchange Service. The API is designed to be simple and easy to use, abstracting away SDI complexity while providing complete control over the invoice send/receive process. It provides advanced features as encryption at rest, multi-language pre-flight invoice validation, multiple upload formats, webhooks, event logging, client SDKs, and CLI tools. For more information, see [Invoicetronic website][2] ## Before you start For the full integration guide, tutorials, SDKs and quickstarts, see the **[Documentation](https://invoicetronic.com/en/docs/)**. A few cross-cutting topics worth knowing before integrating: - **[Prerequisites](https://invoicetronic.com/en/docs/prerequisites/)** — what you need to start in Sandbox and what's required to move to production. - **[API Keys](https://invoicetronic.com/en/docs/apikeys/)** — how `ik_live_` and `ik_test_` keys select the environment. - **[Restricted Keys](https://invoicetronic.com/en/docs/sub-keys/)** — keys limited to some companies and permissions, managed from the Dashboard or through `/subkey`. - **[Sandbox](https://invoicetronic.com/en/docs/sandbox/)** — free test environment that mirrors the live workflow, with no credits consumed. - **[Rate Limiting](https://invoicetronic.com/en/docs/ratelimiting/)** — per-second, per-minute and per-day limits; how to handle `429 Too Many Requests`. - **[Pagination](https://invoicetronic.com/en/docs/pagination/)** — `page` and `page_size` parameters and the `Invoicetronic-Total-Count` response header. - **[CORS](https://invoicetronic.com/en/docs/cors/)** — calling the API from the browser; allowed origins are configured per key. - **[Webhooks](https://invoicetronic.com/en/docs/webhooks/)** — real-time event notifications with HMAC-SHA256 signature validation. - **[Localization](https://invoicetronic.com/en/docs/accept-language/)** — use the `Accept-Language` header to receive error messages in Italian, English or German. [1]: https://www.fatturapa.gov.it/it/sistemainterscambio/cose-il-sdi/ [2]: https://invoicetronic.com/

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Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

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Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

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Use the K Nearest Neighbors algorithm to predict the probability of a divorce.

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Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

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