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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow.nn is a module for executing primitive neural network operations on models. [ 38] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax, RELU, GELU, Sigmoid, etc.) and their variations, and other operations ( max-pooling, bias-add, etc.).

  3. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter ( / ˈdʒuːpɪtər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages . It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger. Project Jupyter's name is a reference to the three core programming languages supported ...

  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 License 4.0; additional terms may apply.

  5. QuTiP - Wikipedia

    en.wikipedia.org/wiki/QuTiP

    QuTiP, short for the Quantum Toolbox in Python, is an open-source computational physics software library for simulating quantum systems, particularly open quantum systems. [1] [2] QuTiP allows simulation of Hamiltonians with arbitrary time-dependence, allowing simulation of situations of interest in quantum optics, ion trapping, superconducting circuits and quantum nanomechanical resonators.

  6. Lean (proof assistant) - Wikipedia

    en.wikipedia.org/wiki/Lean_(proof_assistant)

    Lean is a proof assistant and a functional programming language. [ 1] It is based on the calculus of constructions with inductive types. It is an open-source project hosted on GitHub. It was developed primarily by Leonardo de Moura while employed by Microsoft Research and now Amazon Web Services, and has had significant contributions from other ...

  7. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    Google JAX. JAX is a numerical computing framework developed by Google, primarily for use in developing machine learning models and frameworks. On a more basic level, a key focus for JAX is transforming numerical functions to be used in Python. [2] [3] [4] It is described as bringing together a modified version of autograd [5] (automatic ...

  8. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    The generalized Hough transform ( GHT ), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.). In these cases, we have knowledge of the shape and aim to ...

  9. File:Google Colaboratory SVG Logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Google_Colaboratory...

    File:Google Colaboratory SVG Logo.svg. Size of this PNG preview of this SVG file: 800 × 493 pixels. Other resolutions: 320 × 197 pixels | 640 × 394 pixels | 1,024 × 631 pixels | 1,280 × 789 pixels | 2,560 × 1,577 pixels | 977 × 602 pixels. Original file ‎ (SVG file, nominally 977 × 602 pixels, file size: 959 bytes) This is a file from ...