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  2. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [ 2 ] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

  3. ML.NET - Wikipedia

    en.wikipedia.org/wiki/ML.NET

    ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]

  4. List of game engines - Wikipedia

    en.wikipedia.org/wiki/List_of_game_engines

    Advanced AI and sound features (full control of sound propagation). Edited with DromEd. ... C# game development framework, successor to Microsoft XNA. Northlight: C++ ...

  5. Recursive self-improvement - Wikipedia

    en.wikipedia.org/wiki/Recursive_self-improvement

    Recursive self-improvement (RSI) is a process in which an early or weak artificial general intelligence (AGI) system enhances its own capabilities and intelligence without human intervention, leading to a superintelligence or intelligence explosion.

  6. C Sharp (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_(programming_language)

    C# (/ ˌ s iː ˈ ʃ ɑːr p / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms.C# encompasses static typing, [16]: 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16]: 22 object-oriented (class-based), and component-oriented programming disciplines.

  7. .NET - Wikipedia

    en.wikipedia.org/wiki/.NET

    The .NET platform (pronounced as "dot net") is a free and open-source, managed computer software framework for Windows, Linux, and macOS operating systems. [4] The project is mainly developed by Microsoft employees by way of the .NET Foundation and is released under an MIT License.

  8. Fast Artificial Neural Network - Wikipedia

    en.wikipedia.org/wiki/Fast_Artificial_Neural_Network

    The library has been used for research in image recognition, machine learning, biology, genetics, aerospace engineering, environmental sciences and artificial intelligence. Notable publications that cite FANN include: Papa, J. P. (2009). "Supervised pattern classification based on optimum-path forest".

  9. AForge.NET - Wikipedia

    en.wikipedia.org/wiki/AForge.NET

    AForge.NET is a computer vision and artificial intelligence library originally developed by Andrew Kirillov for the .NET Framework. [2]The source code and binaries of the project are available under the terms of the Lesser GPL and the GPL (GNU General Public License).