Libraries tagged by php machine learning

Tools for data mining, analysis and predictions in PHP.

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Think-Kit is a library that offers a generic machine learning implementation.

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This is a PHP client for Replicate.

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PHP SDK for interacting with the Ollama API, a service for running and deploying large language models.

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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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This book will try to explain the basics of Artificial Intelligence and Machine Learning in a way that’s easy to understand.

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A 2-in-1 PHP SDK to interact with the Grok AI API for both framework-agnostic PHP and Laravel applications

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The PHP client SDK for Rubix ML Server.

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High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.

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PHP-ML - Machine Learning library for PHP

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

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PHP extension for running GGUF models via llama.cpp

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