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Neural Network Architecture Diagrams

Neural Network Architecture Diagrams is an open-source collection of diagrams.net (draw.io) files and image examples showing neural-network architectures.

Independent OpenViST project profile, based on linked sources.

Neural Network Architecture Diagrams — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the repository when you need a visual reference for a neural-network architecture or want to share a diagram made with diagrams.net.

Who it is for

  • Learners who want visual examples of neural-network structures.
  • Educators and practitioners preparing architecture explanations.
  • Diagram makers interested in sharing neural-network visuals.

Documented uses

  • Browse visual examples of named neural-network architectures.
  • Use architecture diagrams as references when explaining model structure.
  • Contribute a diagrams.net architecture diagram to the collection.
Before you choose

Requirements & limits

  • The collection provides visual examples rather than model implementations or an automatic diagramming tool.
  • The project names diagrams.net (draw.io) as the diagram-creation tool and accepts contributions by pull request.
  • The repository is licensed under MIT.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Browse neural-network architecture diagram examples

Use the repository README to view reference diagrams for neural-network architectures.

Before you start

  • Access to the public GitHub repository page.

Steps

  1. Open the repository README.

  2. Find a model heading such as YOLO v1, VGG-16, Autoencoder, RNN, or U-Net.

  3. View the image shown under that heading as a visual reference.

Expected outcome

A reference view of one or more neural-network architecture diagrams, including examples for YOLO v1, VGG-16, autoencoders, and U-Net.

Guide limitations

  • The collection provides visual examples; it does not describe generating diagrams automatically or running neural-network models.
Source-based practical guide

Contribute a diagrams.net architecture diagram

Submit a neural-network architecture diagram made with diagrams.net to the repository for sharing.

Before you start

  • A neural-network architecture diagram made with diagrams.net (draw.io).
  • A GitHub account and ability to create a pull request are not explicitly specified in the repository instructions, but a pull request is required to contribute.

Steps

  1. Create a neural-network architecture diagram with diagrams.net.

  2. Prepare the diagram to share with the repository.

  3. Submit a pull request with the diagram.

Expected outcome

A proposed architecture diagram is submitted for repository contribution; the README says contributors will be credited.

Guide limitations

  • The README does not specify file formats, naming conventions, review criteria, or detailed pull-request steps.
  • Submission does not guarantee that a contribution will be accepted.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
kennethleungty/Neural-Network-Architecture-Diagrams · Official homepage title · retained in its source language