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README.md
1# Rubix ML 2 3[![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) 4 5A high-level machine learning and deep learning library for the [PHP](https://php.net) language. 6 7- **Developer-friendly** API is delightful to use 8- **40+** supervised and unsupervised learning algorithms 9- **Support** for ETL, preprocessing, and cross-validation 10- **Open source** and free to use commercially 11 12## Installation 13Install Rubix ML into your project using [Composer](https://getcomposer.org/): 14```sh 15$ composer require rubix/ml 16``` 17 18### Requirements 19- [PHP](https://php.net/manual/en/install.php) 7.2 or above 20 21#### Recommended 22- [Tensor extension](https://github.com/RubixML/Tensor) for fast Matrix/Vector computing 23 24#### Optional 25 26- [Extras Package](https://github.com/RubixML/Extras) for experimental features 27- [GD extension](https://php.net/manual/en/book.image.php) for image manipulation 28- [Mbstring extension](https://www.php.net/manual/en/book.mbstring.php) for fast multibyte string manipulation 29- [SVM extension](https://php.net/manual/en/book.svm.php) for Support Vector Machine engine (libsvm) 30- [Redis extension](https://github.com/phpredis/phpredis) for persisting to a Redis DB 31 32## Documentation 33Read the latest docs [here](https://docs.rubixml.com). 34 35## What is Rubix ML? 36Rubix 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. 37 38## Getting Started 39If 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. 40 41### Tutorials & Example Projects 42Check out these example projects using the Rubix ML library. Many come with instructions and a pre-cleaned dataset. 43 44- [CIFAR-10 Image Recognizer](https://github.com/RubixML/CIFAR-10) 45- [Color Clusterer](https://github.com/RubixML/Colors) 46- [Credit Default Risk Predictor](https://github.com/RubixML/Credit) 47- [Divorce Predictor](https://github.com/RubixML/Divorce) 48- [Dota 2 Game Outcome Predictor](https://github.com/RubixML/Dota2) 49- [Human Activity Recognizer](https://github.com/RubixML/HAR) 50- [Housing Price Predictor](https://github.com/RubixML/Housing) 51- [Iris Flower Classifier](https://github.com/RubixML/Iris) 52- [MNIST Handwritten Digit Recognizer](https://github.com/RubixML/MNIST) 53- [Text Sentiment Analyzer](https://github.com/RubixML/Sentiment) 54 55## Interact With The Community 56 57- [Join Our Telegram Channel](https://t.me/RubixML) 58- [Receive Our Newsletter](https://rubixml.com/#get-notified) 59- [Meet on LinkedIn](https://www.linkedin.com/company/76327971) 60- [Interact on Twitter](https://twitter.com/RubixML) 61 62## Funding 63Rubix ML is funded by donations from the community. You can become a sponsor by making a contribution to one of our funding sources below. 64 65- [Github Sponsors](https://github.com/sponsors/RubixML) 66 67## Contributing 68See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. 69 70## License 71The code is licensed [MIT](LICENSE) and the documentation is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). 72