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  2. 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]

  3. List of HTTP status codes - Wikipedia

    en.wikipedia.org/wiki/List_of_HTTP_status_codes

    This class of status code indicates the client must take additional action to complete the request. Many of these status codes are used in URL redirection. [2]A user agent may carry out the additional action with no user interaction only if the method used in the second request is GET or HEAD.

  4. Encog - Wikipedia

    en.wikipedia.org/wiki/Encog

    Encog is a machine learning framework available for Java and .Net. [1] Encog supports different learning algorithms such as Bayesian Networks, Hidden Markov Models and Support Vector Machines. However, its main strength lies in its neural network algorithms. Encog contains classes to create a wide variety of networks, as well as support classes ...

  5. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.

  6. Infer.NET - Wikipedia

    en.wikipedia.org/wiki/Infer.NET

    In 2013, Microsoft was awarded the USPTO’s Patents for Humanity Award in Information Technology category for Infer.NET and the work in advanced machine learning techniques. [ 6 ] [ 7 ] Infer.NET is used internally at Microsoft as the machine learning engine in some of their products such as Office , Azure , and Xbox .

  7. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive ...

  8. Flux (machine-learning framework) - Wikipedia

    en.wikipedia.org/wiki/Flux_(machine-learning...

    Flux has been used as a framework to build neural networks that work with homomorphic encrypted data without ever decrypting it. [20] [21] This kind of application is envisioned to be central for privacy to future API using machine-learning models. [22] Flux.jl is an intermediate representation for running high level programs on CUDA hardware.

  9. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    SystemDS: scalable machine learning; Tapestry: component-based Java web framework; Apache Tcl Committee Tcl integration for Apache httpd; Rivet: Server-side Tcl programming system combining ease of use and power; Websh: Websh is a rapid development environment for building powerful, fast, and reliable web applications in Tcl