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  2. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    In both cases, the features must be part of the language syntax and not an extension such as a library (libraries such as the posix-thread library implement a parallel execution model but lack the syntax and grammar required to be a programming language).

  3. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with ...

  4. List of platform-independent GUI libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_platform...

    This is a list of notable library packages implementing a graphical user interface (GUI) platform-independent GUI library (PIGUI). These can be used to develop software that can be ported to multiple computing platforms with no change to its source code.

  5. Comparison of deep learning software - Wikipedia

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

    Intel Math Kernel Library 2017 [15] and later Intel 2017 Proprietary: No Linux, macOS, Windows on Intel CPU [16] C/C++, DPC++, Fortran C [17] Yes [18] No No No Yes No Yes [19] Yes [19] No Yes Google JAX: Google 2018 Apache License 2.0: Yes Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT ...

  6. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow also has a library for machine learning in JavaScript. Using the provided JavaScript APIs, TensorFlow.js allows users to use either Tensorflow.js models or converted models from TensorFlow or TFLite, retrain the given models, and run on the web. [44] [62]

  7. Foreign function interface - Wikipedia

    en.wikipedia.org/wiki/Foreign_function_interface

    JavaScript usually runs inside web browser runtimes that don't provide direct access to system libraries or commands to run, but there are few exceptions: Node.js provides functions to open precompiled .node modules that in turn may provide access to non-builtin resources.

  8. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  9. Fluent interface - Wikipedia

    en.wikipedia.org/wiki/Fluent_interface

    A common example is the iostream library in C++, which uses the << or >> operators for the message passing, sending multiple data to the same object and allowing "manipulators" for other method calls. Other early examples include the Garnet system (from 1988 in Lisp) and the Amulet system (from 1994 in C++) which used this style for object ...