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ml-visuals

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Project Description

๐ŸŽจ ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml-visuals: ๐ŸŽจ ML Visuals contains figures and templates which you can reuse and customize to improve your scient

Project Title

ml-visuals โ€” Enhance Scientific Writing with Customizable ML Visuals and Figures

Overview

ml-visuals is an open-source project that provides a collection of over 100 machine learning figures and visuals designed to improve scientific communication. Developed by the dair.ai community, these visuals are free to use in presentations and blog posts, with the option to customize and contribute back to the repository. The project stands out for its collaborative approach, allowing users to request edit permissions and add their own figures, fostering a shared resource for the machine learning community.

Key Features

  • Over 100 ready-to-use machine learning figures and visuals
  • Customizable figures through Google Slides
  • Open community contributions and edits
  • Easy download and use in various formats

Use Cases

  • PhD students and researchers using visuals in their academic papers and presentations
  • Bloggers and content creators enhancing their machine learning articles with professional visuals
  • Educators incorporating visuals into their teaching materials

Advantages

  • Free and open access to a wide range of machine learning visuals
  • Easy customization and sharing of figures through Google Slides
  • Community-driven growth and improvement of the visuals collection
  • Encourages proper attribution and collaboration among users

Limitations / Considerations

  • The project relies on community contributions, which may lead to variability in quality and consistency
  • Users must request edit permissions to add or modify visuals, which could be a barrier for some
  • The project's reliance on Google Slides may not be ideal for those who prefer other tools or platforms

Similar / Related Projects

  • TensorFlow Diagrams: A tool for visualizing TensorFlow models and computations, differing in that it is specifically for TensorFlow and focuses on model visualization.
  • PlotNeuralNet: A tool for creating neural network diagrams, which is more focused on individual network architectures rather than a broad collection of ML visuals.

Basic Information


๐Ÿ“Š Project Information

  • Project Name: ml-visuals
  • GitHub URL: https://github.com/dair-ai/ml-visuals
  • Programming Language: Unknown
  • โญ Stars: 15,703
  • ๐Ÿด Forks: 1,480
  • ๐Ÿ“… Created: 2020-05-17
  • ๐Ÿ”„ Last Updated: 2025-09-08

๐Ÿท๏ธ Project Topics

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๐Ÿ“š Documentation


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Project Information

Created on 5/17/2020
Updated on 9/10/2025