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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. 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.

  4. Google Colab - Wikipedia

    en.wikipedia.org/?title=Google_Colab&redirect=no

    This page was last edited on 26 November 2021, at 16:57 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  5. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    AutoDifferentiation is the process of automatically calculating the gradient vector of a model with respect to each of its parameters. With this feature, TensorFlow can automatically compute the gradients for the parameters in a model, which is useful to algorithms such as backpropagation which require gradients to optimize performance. [34]

  6. NotebookLM - Wikipedia

    en.wikipedia.org/wiki/NotebookLM

    In mid-October 2024, Google removed the "experimental" status/badge for the software. [5] In December 2024, Google launched the paid version of NotebookLM, called NotebookLM Plus, to enterprises and paid Gemini subscribers. [6] On February 10, 2025, Google expanded NotebookLM Plus to individual users through the Google One AI Premium ...

  7. JAX (software) - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    JAX is a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).

  8. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

  9. HMMER - Wikipedia

    en.wikipedia.org/wiki/HMMER

    A profile HMM modelling a multiple sequence alignment. HMMER is a free and commonly used software package for sequence analysis written by Sean Eddy. [2] Its general usage is to identify homologous protein or nucleotide sequences, and to perform sequence alignments.