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All Projects → RubixML → Ml

RubixML / Ml

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

Labels

deep-learningmachine-learningdata-scienceneural-networknatural-language-processingartificial-intelligencealgorithmaianalyticsclassificationclusteringregressionanomaly-detectionpredictionmachine-learning-library

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Rubix ML

PHP from Packagist Latest Stable Version Downloads from Packagist Code Checks GitHub

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

  • Developer-friendly API is delightful to use
  • 40+ supervised and unsupervised learning algorithms
  • Support for ETL, preprocessing, and cross-validation
  • Open source and free to use commercially

Installation

Install Rubix ML into your project using Composer:

$ composer require rubix/ml

Requirements

  • PHP 7.2 or above

Recommended

Optional

Documentation

Read the latest docs here.

What is Rubix ML?

Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects.

Getting Started

If you are new to machine learning, we recommend taking a look at the What is Machine Learning? section to get started. If you are already familiar with basic ML concepts, you can browse the basic introduction for a brief look at a typical Rubix ML project. From there, you can browse the official tutorials below which range from beginner to advanced skill level.

Tutorials & Example Projects

Check out these example projects using the Rubix ML library. Many come with instructions and a pre-cleaned dataset.

Interact With The Community

Funding

Rubix ML is funded by donations from the community. You can become a sponsor by making a contribution to one of our funding sources below.

Contributing

See CONTRIBUTING.md for guidelines.

License

The code is licensed MIT and the documentation is licensed CC BY-NC 4.0.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].