Libraries tagged by Machine Learn

A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.

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

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clarifAI PHP Library

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Dashboard Builder is a PHP based data driven visualization & business analtyc tool, a machine learning delivers insights, written in PHP with an added layer of drag-and-drop flexibility which helps predicting the future with ease and no code required.

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BIIGLE module module for the Machine Learning Assisted Image Annotation method.

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A laravel plugin to interact with AI providers

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A powerful and easy-to-use PHP SDK for the pplx API, allowing seamless integration of advanced AI-powered features into your PHP projects.

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A powerful and easy-to-use PHP SDK for the OpenAI API, allowing seamless integration of advanced AI-powered features into your PHP projects.

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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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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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