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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Examples include Amazon SageMaker Notebooks, [9] Google's Colab, [10] [11] and Microsoft's Azure Notebook. [12] Visual Studio Code supports local development of Jupyter notebooks. As of July 2022, the Jupyter extension for VS Code has been downloaded over 40 million times, making it the second-most popular extension in the VS Code Marketplace. [13]

  3. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    # imports from jax import jit import jax.numpy as jnp # define the cube function def cube (x): return x * x * x # generate data x = jnp. ones ((10000, 10000)) # create the jit version of the cube function jit_cube = jit (cube) # apply the cube and jit_cube functions to the same data for speed comparison cube (x) jit_cube (x)

  4. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    During the Google I/O Conference in June 2016, Jeff Dean stated that 1,500 repositories on GitHub mentioned TensorFlow, of which only 5 were from Google. [20] In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript. [21] In Jan 2019, Google announced TensorFlow 2.0. [22] It became officially available in ...

  5. AbiWord - Wikipedia

    en.wikipedia.org/wiki/AbiWord

    AbiWord allows users to share and collaborate on documents in a similar manner to Google Docs, using a system known as GOCollab. [8] Users can collaborate using a varitety of different protocols including TCP and XMPP , [ 9 ] and formerly over AbiCollab.net, a web based service that facilitated collaboration between users.

  6. NSynth - Wikipedia

    en.wikipedia.org/wiki/NSynth

    The model generates sounds through a neural network based synthesis, employing a WaveNet-style autoencoder to learn its own temporal embeddings from four different sounds. [2] [3] Google then released an open source hardware interface for the algorithm called NSynth Super, [4] used by notable musicians such as Grimes and YACHT to generate experimental music using artificial intelligence.

  7. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    In 2021, Google revealed the physical layout of TPU v5 is being designed with the assistance of a novel application of deep reinforcement learning. [35] Google claims TPU v5 is nearly twice as fast as TPU v4, [36] and based on that and the relative performance of TPU v4 over A100, some speculate TPU v5 as being as fast as or faster than an H100 ...

  8. Beautiful Soup (HTML parser) - Wikipedia

    en.wikipedia.org/wiki/Beautiful_Soup_(HTML_parser)

    Beautiful Soup was started in 2004 by Leonard Richardson. [citation needed] It takes its name from the poem Beautiful Soup from Alice's Adventures in Wonderland [5] and is a reference to the term "tag soup" meaning poorly-structured HTML code. [6]

  9. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec was created, patented, [7] and published in 2013 by a team of researchers led by Mikolov at Google over two papers. [ 1 ] [ 2 ] The original paper was rejected by reviewers for ICLR conference 2013.