Packages from rubix

  • PHP

    rubix/cifar-10

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

  • PHP

    rubix/client

    The PHP client SDK for Rubix ML Server.

  • PHP

    rubix/colors

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

  • PHP

    rubix/credit

    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.

  • PHP

    rubix/divorce

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

  • PHP

    rubix/dota2

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

  • PHP

    rubix/extras

    Experimental features for the Rubix ML library.

  • PHP

    rubix/har

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

  • PHP

    rubix/housing

    An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

  • PHP

    rubix/iris

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

  • PHP

    rubix/ml

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

  • PHP

    rubix/mnist

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

  • PHP

    rubix/sentiment

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

  • PHP

    rubix/server

    Deploy your Rubix ML models to production with scalable stand-alone inference servers.

  • PHP

    rubix/tensor

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