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.

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

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.

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.

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.

Experimental features for the Rubix ML library.

Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means

Film review sentiment analysis using php-ml

nginx, php-fpm, rsyslog, runit, cron, machine-learning, tensor, rubixml

SentimentAnalysis using PHP RubixML library!

Example of data clustering using Rubix ML and the K Means algorithm. Written in PHP 8.4 with Symfony Console.

Human resources system of the National Search and Rescue Agency (Basarnas) with Gaussian Mixture Modeling analysis

Its 3x3x3 Rubix Cube Solver written in python

Latent Semantic Analysis For Question Classification With K-Nearest Neighbor (2020-2021)

Train your Miner with previously entered data. Start collecting data from them automatically. Supports semi-structured data-sctructures (such as PDF invoices) and unstuctured data (free text like emails)