Libraries tagged by machine-learning

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.

Go to Download

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

Go to Download

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

Go to Download

clarifAI PHP Library

Go to Download

A library for machine learning that builds predictions using a linear regression.

Go to Download

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.

Go to Download

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

Go to Download

An intelligent Git helper package for Laravel applications. It utilizes OpenAI's GPT to analyze your Git repository, providing features such as automatic generation of commit messages based on staged changes.

Go to Download

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

Go to Download

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

Go to Download

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

Go to Download

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

Go to Download

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

Go to Download

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

Go to Download

Bayes algorithm implementation in PHP for auto document classification.

Go to Download