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@RubixML

Rubix

Machine Learning and Deep Learning for the PHP language.

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  1. ML Public

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

    PHP 1.5k 115

  2. Tensor Public

    A library and extension that provides objects for scientific computing in PHP.

    PHP 110 13

  3. Extras Public

    Experimental features for the Rubix ML library.

    PHP 4 5

  4. Server Public

    A standalone inference server for trained Rubix ML estimators.

    PHP 46 7

  5. MNIST Public template

    Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

    PHP 22 8

  6. Sentiment Public template

    An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

    PHP 57 7

Repositories

  • ML Public

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

  • Tensor Public

    A library and extension that provides objects for scientific computing in PHP.

  • Signatures Public

    Digital signatures made by humans.

    2 0 0 0 Updated Nov 30, 2021
  • Extras Public

    Experimental features for the Rubix ML library.

    PHP 4 MIT 5 0 0 Updated Nov 6, 2021
  • Server Public

    A standalone inference server for trained Rubix ML estimators.

    PHP 46 MIT 7 1 0 Updated Sep 19, 2021
  • Client Public

    Client-side SDK for Rubix ML Server to use in your PHP applications.

    PHP 2 MIT 0 0 0 Updated Aug 25, 2021
  • CIFAR-10 Public template

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

    PHP 37 MIT 6 0 0 Updated Jul 14, 2021
  • Iris Public template

    The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

    PHP 18 MIT 6 0 0 Updated Jul 14, 2021
  • HAR Public template

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

    PHP 18 MIT 6 0 0 Updated Jul 14, 2021
  • Dota2 Public

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

    PHP 4 MIT 2 0 0 Updated Jul 14, 2021