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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Version 1.0.0 was released on February 11, 2017. [17] While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units ). [ 18 ]

  3. Python (programming language) - Wikipedia

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

    Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.

  4. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages. Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9] In 2024, Anaconda Inc. has about 300 employees [12 ...

  5. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    It is free and open-source software, and can be implemented with Python Tools for Visual Studio, which is a free and open-source extension for Microsoft's Visual Studio IDE. [ 2 ] [ 3 ] IronPython is written entirely in C# , although some of its code is automatically generated by a code generator written in Python.

  6. CMake - Wikipedia

    en.wikipedia.org/wiki/CMake

    CMake is a free, cross-platform, software development tool for building applications via compiler-independent instructions. It also can automate testing , packaging and installation . It runs on a variety of platforms and supports many programming languages .

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  8. Raspberry Pi - Wikipedia

    en.wikipedia.org/wiki/Raspberry_Pi

    The Pi version is heavily optimized [249] for the limited computer resources available and is implemented in the Squeak Smalltalk system. Squeak Smalltalk – a full-scale open Smalltalk. TensorFlow – an artificial intelligence framework developed by Google. Raspberry Pi worked with Google to simplify the installation process through pre ...

  9. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Then 64 of these modules are assembled into 256-chip pods with 11.5 petaFLOPS of performance. [26] Notably, while the first-generation TPUs were limited to integers, the second-generation TPUs can also calculate in floating point , introducing the bfloat16 format invented by Google Brain .