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Neural networks library for machine learning on PHP
A standalone inference server for trained Rubix ML estimators.
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
NLGen: a library for creating recursive-descent natural language generators
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
A PHP implementation of Word2Vec, a popular word embedding algorithm created by Tomas Mikolov and popularized by Radim Řehůřek & Peter Sojka with the Gensim Python library
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
A PHP implementation of the Specification pattern
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
AI PHP is a wrapper for rubix ml to make AI very approachable
Scien-ide / Tensor
Forked from RubixML/TensorA library and extension that provides objects for scientific computing in PHP.
RAGGED EDGE BOX: Your Personal AI-Powered Document Search System
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
The fundamental package for scientific matrix operation
Detect unhappy customers with Naive Bayes and 19 categorical features.