Showing 7 of 7 projects
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
A Node.js library implementing Support Vector Machines (SVM) for classification and regression tasks.
Ruby language bindings for the LIBSVM library, enabling support vector machine (SVM) classification and regression in Ruby.
A minimalistic Clojure library for statistical analysis, inference, and machine learning.
A collection of scripts for processing Merck molecular activity challenge data from Kaggle into formats suitable for machine learning.
Raku bindings for libsvm, providing support vector machine algorithms for classification, regression, and outlier detection.
A complete neural network solution for handwritten digit recognition, built with Ruby and featuring a web interface.
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