Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/alexlenail/NN-SVG

Publication-ready NN-architecture schematics.
https://github.com/alexlenail/NN-SVG

d3 deep-learning diagrams drawing machine-learning neural-network svg threejs

Last synced: about 2 months ago
JSON representation

Publication-ready NN-architecture schematics.

Host: GitHub
URL: https://github.com/alexlenail/NN-SVG
Owner: alexlenail
License: mit
Created: 2015-12-17T06:43:51.000Z (almost 9 years ago)
Default Branch: master
Last Pushed: 2024-09-16T21:04:20.000Z (3 months ago)
Last Synced: 2024-10-19T01:29:02.074Z (about 2 months ago)
Topics: d3, deep-learning, diagrams, drawing, machine-learning, neural-network, svg, threejs
Language: JavaScript
Homepage: http://alexlenail.me/NN-SVG/
Size: 378 KB
Stars: 4,625
Watchers: 60
Forks: 600
Open Issues: 26
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

stars - alexlenail/NN-SVG - ready NN-architecture schematics. (HarmonyOS / Windows Manager)
awesome-opensource-hardware - nn-svg

README

        # [NN-SVG](https://alexlenail.me/NN-SVG/)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

[![status](https://joss.theoj.org/papers/52b511ab107595a805107aa4ad70161d/status.svg)](https://joss.theoj.org/papers/52b511ab107595a805107aa4ad70161d)

| [Docs](https://github.com/zfrenchee/NN-SVG/wiki) | [Contributing](https://github.com/zfrenchee/NN-SVG/wiki/Contributing)

Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand.

NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages.

The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in [the LeNet paper](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf), and Deep Neural Network figures following the style introduced in [the AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf). The former two are accomplished using the [D3 javascript library](https://d3js.org/) and the latter with the javascript library [Three.js](https://threejs.org/). NN-SVG provides the ability to style the figure to the user's liking via many size, color, and layout parameters.

I hope this tool will save machine learning researchers time, and I hope this software might also serve as a pedagogical tool in some contexts.



### Citation

> LeNail, (2019). NN-SVG: Publication-Ready Neural Network Architecture Schematics. 


> Journal of Open Source Software, 4(33), 747, https://doi.org/10.21105/joss.00747

### Related

- [vdumoulin/conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)

- [TensorSpace](https://github.com/tensorspace-team/tensorspace)