Libraries tagged by rubixml

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

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Experimental features for the Rubix ML library.

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

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

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

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

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

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

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

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

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

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

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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.

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An example project that predicts if Titanic passenger survives for a Kaggle competition using a Random Forest classifier.

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Meant for AI using a wrapped Rubix ML library to make it very approachable

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