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https://github.com/RubixML/ML

A high-level machine learning and deep learning library for the PHP language.
https://github.com/RubixML/ML

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 16 days ago
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A high-level machine learning and deep learning library for the PHP language.

Host: GitHub
URL: https://github.com/RubixML/ML
Owner: RubixML
License: mit
Created: 2018-02-14T07:20:19.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2024-08-31T22:58:23.000Z (2 months ago)
Last Synced: 2024-09-08T12:15:52.264Z (2 months ago)
Topics: ai, algorithm, analytics, anomaly-detection, artificial-intelligence, classification, clustering, cross-validation, data-science, deep-learning, machine-learning, machine-learning-library, natural-language-processing, neural-network, php, php-ai, php-machine-learning, php-ml, prediction, regression
Language: PHP
Homepage: https://rubixml.com
Size: 30.1 MB
Stars: 2,018
Watchers: 57
Forks: 183
Open Issues: 64
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE

Awesome Lists containing this project

awesome-php-cn - RubixML - 高级机器学习和深度学习库，面向 PHP语言语言. (配置 Configuration / 机器学习 Machine Learning)

README

        # Rubix ML

[![PHP from Packagist](https://img.shields.io/packagist/php-v/rubix/ml.svg?style=flat&colorB=8892BF)](https://www.php.net/) [![Latest Stable Version](https://img.shields.io/packagist/v/rubix/ml.svg?style=flat&colorB=orange)](https://packagist.org/packages/rubix/ml) [![Downloads from Packagist](https://img.shields.io/packagist/dt/rubix/ml.svg?style=flat&colorB=red)](https://packagist.org/packages/rubix/ml) [![Code Checks](https://github.com/RubixML/ML/actions/workflows/ci.yml/badge.svg)](https://github.com/RubixML/ML/actions/workflows/ci.yml) [![GitHub](https://img.shields.io/github/license/RubixML/RubixML)](https://github.com/RubixML/ML/blob/master/LICENSE.md)

A high-level machine learning and deep learning library for the [PHP](https://php.net) 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](https://getcomposer.org/):

```sh

$ composer require rubix/ml

```

### Requirements

- [PHP](https://php.net/manual/en/install.php) 7.4 or above

#### Recommended

- [Tensor extension](https://github.com/RubixML/Tensor) for fast Matrix/Vector computing

#### Optional

- [GD extension](https://php.net/manual/en/book.image.php) for image support

- [Mbstring extension](https://www.php.net/manual/en/book.mbstring.php) for fast multibyte string manipulation

- [SVM extension](https://php.net/manual/en/book.svm.php) for Support Vector Machine engine (libsvm)

- [PDO extension](https://www.php.net/manual/en/book.pdo.php) for relational database support

- [GraphViz](https://graphviz.org/) for graph visualization

## Documentation

Read the latest docs [here](https://docs.rubixml.com).

## 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?](https://docs.rubixml.com/latest/what-is-machine-learning.html) section to get started. If you are already familiar with basic ML concepts, you can browse the [basic introduction](https://docs.rubixml.com/latest/basic-introduction.html) 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.

- [CIFAR-10 Image Recognizer](https://github.com/RubixML/CIFAR-10)

- [Color Clusterer](https://github.com/RubixML/Colors)

- [Credit Default Risk Predictor](https://github.com/RubixML/Credit)

- [Customer Churn Predictor](https://github.com/RubixML/Churn)

- [Divorce Predictor](https://github.com/RubixML/Divorce)

- [DNA Taxonomer](https://github.com/RubixML/DNA)

- [Dota 2 Game Outcome Predictor](https://github.com/RubixML/Dota2)

- [Human Activity Recognizer](https://github.com/RubixML/HAR)

- [Housing Price Predictor](https://github.com/RubixML/Housing)

- [Iris Flower Classifier](https://github.com/RubixML/Iris)

- [MNIST Handwritten Digit Recognizer](https://github.com/RubixML/MNIST)

- [Text Sentiment Analyzer](https://github.com/RubixML/Sentiment)

- [Titanic Survival Predictor](https://github.com/Jenutka/titanic_php)

## Interact With The Community

- [Join Our Telegram Channel](https://t.me/RubixML)

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

## License

The code is licensed [MIT](LICENSE) and the documentation is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).