php.package.health
composer.json
.Package | Status | |
---|---|---|
rubix/churn | ||
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. | |
rubix/client | The PHP client SDK for Rubix ML Server. | |
rubix/colors | Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data. | |
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. | |
rubix/divorce | Use the K Nearest Neighbors algorithm to predict the probability of a divorce. | |
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. | |
rubix/extras | Experimental features for the Rubix ML library. | |
rubix/har | Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data. | |
rubix/housing | An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine. | |
rubix/iris | An introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier. | |
rubix/ml | A high-level machine learning and deep learning library for the PHP language. | |
rubix/mnist | Handwritten digit recognizer using a feed forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits. | |
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. | |
rubix/server | Deploy your Rubix ML models to production with scalable stand-alone inference servers. | |
rubix/tensor | A library and extension that provides objects for scientific computing in PHP. |