A high-level machine learning and deep learning library for the PHP language.
PHP 1.5k 115
A library and extension that provides objects for scientific computing in PHP.
PHP 110 13
Experimental features for the Rubix ML library.
PHP 4 5
A standalone inference server for trained Rubix ML estimators.
PHP 46 7
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
PHP 22 8
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
Digital signatures made by humans.
Client-side SDK for Rubix ML Server to use in your PHP applications.
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
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