Bibliography:

  1. https://dgl.cx/2023/09/ansi-terminal-security

  2. List of Projects That Provide Terminal User Interfaces

  3. Textualize - Projects

  4. https://geminiprotocol.net/docs/best-practices.gmi#text-encoding

  5. https://geminiprotocol.net/docs/gemtext.gmi#lists

  6. https://geminiprotocol.net/docs/gemtext.gmi#preformatted-text

  7. The Preformatted Text Element

  8. https://www.unicode.org/notes/tn28/UTN28-PlainTextMath-v3.2.pdf

  9. UnicodeMathML Playground

  10. Unicodeit.net

  11. Emacs Wiki: TeX Input Method

  12. latex2unicode.py

  13. https://pygments.org/

  14. Algol_nu

  15. https://unicode.org/charts/PDF/U1FB00.pdf#page=2

  16. http://viznut.fi/unscii/

  17. https://github.com/holman/spark

  18. Mkaz/termgraph: a Python Command-Line Tool Which Draws Basic Graphs in the Terminal

  19. Matplotlib

  20. Tgandor/asciiplotlib: Plotting on the Command Line

  21. Visualize Data in the Terminal

  22. Plotlib - Visualise Your Data in Rust

  23. Glamp/bashplotlib: Plotting in the Terminal

  24. CRAN: Package Txtplot

  25. Asciimoo/drawille: Pixel Graphics in Terminal With Unicode Braille Characters

  26. ASCII Table Generator – Quickly Format ASCII Table. Great for Source Code Comments and Markdown!

  27. Table Mode

  28. File:Aa Example1

  29. File:Aa Example2.png

  30. File:Aa Example3.png

  31. File:Ascii Art Alphabet.png - Wikimedia Commons

  32. ‘text style transfer’ tag

  33. Introducing AI Dungeon Translate: AI Dungeon Players Can Now Translate Their Stories into Emojis by Just Clicking a Button. [ 🤔 💯 🤷‍♂️ 🤔 🤔 🤔 💯]

  34. Here's a Link to My Colab If You'D like to Give It a Go Yourself. This Codebase Builds off of Previous Work from Many People including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw

  35. CLIP: Connecting Text and Images: We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the ‘zero-shot’ capabilities of GPT-2 and GPT-3

  36. face#pixel-art

    [Transclude the forward-link's context]

  37. Fast Text Placement Scheme for ASCII Art Synthesis

  38. https://civitai.com/models/130190/ascii-art

  39. PublicPrompts/All-In-One-Pixel-Model

  40. https://huggingface.co/nerijs/pixel-art-xl

  41. https://trojansource.codes/trojan-source.pdf

  42. Pandoc User’s Guide

  43. Markdeep

  44. https://www.templetons.com/tech/prolespec.html

  45. Git - Gitattributes Documentation

  46. Git Attributes

  47. https://danluu.com/

  48. Supporting document development with Concordia

  49. Width - HTTP

  50. https://news.ycombinator.com/item?id=38016735

  51. Notes on Monospace, Fonts, ASCII, Unicode

  52. The Monospace Web: A Minimalist Design Exploration