 mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs and Python bindings. 

mlpack - A scalable C++ machine learning library

"Natural" is a general natural language facility for nodejs. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported.

natural - general natural language facilities for node

The mission of ThunderSVM is to help users easily and efficiently apply SVMs to solve problems. ThunderSVM exploits GPUs and multi-core CPUs to achieve high efficiency. It supports all functionalities of LibSVM such as one-class SVMs, SVC, SVR and probabilistic SVMs. It can use same command line options as LibSVM. It supports Python, R and Matlab interfaces.

ThunderSVM - A Fast SVM Library on GPUs and CPUs

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mlpack - A scalable C++ machine learning library

natural - general natural language facilities for node

ThunderSVM - A Fast SVM Library on GPUs and CPUs

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mlpack - A scalable C++ machine learning library

natural - general natural language facilities for node

ThunderSVM - A Fast SVM Library on GPUs and CPUs

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License