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  2. TinyMCE - Wikipedia

    en.wikipedia.org/wiki/TinyMCE

    PHP File Manager with Image Editor and Amazon S3 and Azure Blob support. TinyMCE 6.x, TinyMCE 5.x, and TinyMCE 4.x. [21] Free for one website with up to 15 end-users. Requires a paid subscription or paid license for more features or more sites and users. [22] MoxieManager File and image management for TinyMCE. TinyMCE 6.x [23] and TinyMCE 5.x. [24]

  3. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  4. Pictoword - Wikipedia

    en.wikipedia.org/wiki/Pictoword

    In Pictoword, the player will “read” two pictures to form a word.The puzzles can be a combination of the pictures (A picture of an ear and ring will form Earring), a homonym (A picture of a knight and mare will form Nightmare) or what the pictures sound like (A picture of a taxi and dough will form Tuxedo).

  5. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  7. Category:Free word processors - Wikipedia

    en.wikipedia.org/wiki/Category:Free_word_processors

    Download QR code; Print/export Download as PDF; Printable version; ... Pages in category "Free word processors" The following 15 pages are in this category, out of 15 ...

  8. Bag-of-words model in computer vision - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model_in...

    Take LDA for an example. To model natural scene images using LDA, an analogy is made with document analysis: the image category is mapped to the document category; the mixture proportion of themes maps the mixture proportion of topics; the theme index is mapped to topic index; the codeword is mapped to the word.

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