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Below is a list of notable companies that primarily focuses on artificial intelligence (AI). Companies that simply makes use of AI but have a different primary focus are not included. Companies that simply makes use of AI but have a different primary focus are not included.
scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.) Shogun (toolbox) – open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R
Apache Mahout, a library of scalable machine learning algorithms. [79] Deeplearning4j, an open-source, distributed deep learning framework written for the JVM. [80] Keras, a high level open-source software library for machine learning (works on top of other libraries). [81]
Format name Design goal Compatible with other formats Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration
It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform.
The following partial list contains marks which were originally legally protected trademarks, but which have subsequently lost legal protection as trademarks by becoming the common name of the relevant product or service, as used both by the consuming public and commercial competitors. These marks were determined in court to have become generic.
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Gekko - simulation software in Python with machine learning and optimization; GNU Octave - an open-source mathematical modeling and simulation software very similar to using the same language as MATLAB and Freemat. JModelica.org is a free and open source software platform based on the Modelica modeling language.