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  2. Best Free PDF Editors of 2023 - AOL

    www.aol.com/best-free-pdf-editors-2023-204004606...

    PDF24 Creator offers a suite of tools for PC users to download so they can read, save, convert and edit PDFs. Because you download the software, files are not stored on the cloud , adding another ...

  3. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    As with Adobe Acrobat, Nitro PDF Pro's reader is free; but unlike Adobe's free reader, Nitro's free reader allows PDF creation (via a virtual printer driver, or by specifying a filename in the reader's interface, or by drag-'n-drop of a file to Nitro PDF Reader's Windows desktop icon); Ghostscript not needed.

  4. PDFedit - Wikipedia

    en.wikipedia.org/wiki/PDFedit

    PDFedit is a free PDF editor for Unix-like operating systems (including Cygwin on top of Windows). It does not support editing protected or encrypted PDF files or word processor-style text manipulation, however. [1] PDFedit GUI is based on the Qt 3 toolkit and scripting engine , so every operation is scriptable. It also has the ability to be ...

  5. FileHippo - Wikipedia

    en.wikipedia.org/wiki/FileHippo

    FileHippo is a software downloading website that offers computer software for Windows. The website has sections listing most recently updated programs and most popular downloads, organised by category, with program information and link. Registration is not required in this website. FileHippo does not accept software submissions from publishers. [1]

  6. Comparison of deep learning software - Wikipedia

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

    Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using Theano as backend Can use Theano, Tensorflow or PlaidML as backends Yes No Yes Yes [20] Yes Yes No [21] Yes [22] Yes MATLAB + Deep Learning Toolbox (formally Neural Network ...

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Google JAX is a machine learning framework for transforming numerical functions. [ 71 ] [ 72 ] [ 73 ] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and TensorFlow's XLA (Accelerated Linear Algebra).