VisualTorch

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures - Published in JOSS (2024)

https://github.com/willyfh/visualtorch

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

architecture-diagram architecture-visualization artificial-intelligence deep-learning machine-learning neural-network pytorch torch visualization visualtorch

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation

Repository

VisualTorch aims to help visualize Torch-based neural network architectures.

Basic Info
Statistics
  • Stars: 96
  • Watchers: 1
  • Forks: 3
  • Open Issues: 2
  • Releases: 7
Topics
architecture-diagram architecture-visualization artificial-intelligence deep-learning machine-learning neural-network pytorch torch visualization visualtorch
Created about 2 years ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License Code of conduct

README.md

🔥 VisualTorch 🔥

[![python](https://img.shields.io/badge/python-3.10%2B-blue)]() [![pytorch](https://img.shields.io/badge/pytorch-2.0%2B-orange)]() [![Downloads](https://static.pepy.tech/personalized-badge/visualtorch?period=total&units=international_system&left_color=grey&right_color=green&left_text=PyPI%20Downloads)](https://pepy.tech/project/visualtorch) [![Run Tests](https://github.com/willyfh/visualtorch/actions/workflows/pytest.yml/badge.svg)](https://github.com/willyfh/visualtorch/actions/workflows/pytest.yml) [![Documentation Status](https://readthedocs.org/projects/visualtorch/badge/?version=latest)](https://visualtorch.readthedocs.io/en/latest/?badge=latest)

VisualTorch aims to help visualize Torch-based neural network architectures. It currently supports generating layered-style, graph-style, and LeNet-style architectures for PyTorch Sequential and Custom models. This tool is adapted from visualkeras, pytorchviz, and pytorch-summary.

Note: VisualTorch may not yet support complex models, but contributions are welcome!

![VisualTorch Examples](https://github.com/willyfh/visualtorch/assets/5786636/398c3356-4de0-446b-a30b-d8ebe532d2c2)

Documentation

Online documentation is available at visualtorch.readthedocs.io.

The docs include usage examples, API references, and other useful information.

Installation

See the Installation page.

Examples

See the Usage Examples page.

Contributing

Please feel free to send a pull request to contribute to this project by following this guideline.

License

This poject is available as open source under the terms of the MIT License.

Originally, this project was based on the visualkeras (under the MIT license), with additional modifications inspired by pytorchviz, and pytorch-summary, both of which are also licensed under the MIT license.

Citation

Please cite this project in your publications if it helps your research.

A ready-made citation entry is available.

Owner

  • Name: Willy Fitra Hendria
  • Login: willyfh
  • Kind: user
  • Location: Indonesia

JOSS Publication

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures
Published
October 08, 2024
Volume 9, Issue 102, Page 6678
Authors
Willy Fitra Hendria ORCID
Independent Researcher
Paul Gavrikov ORCID
IMLA, Offenburg University, Germany, University of Mannheim, Germany
Editor
Julia Romanowska ORCID
Tags
PyTorch Visualization Neural Networks Artificial Intelligence

GitHub Events

Total
  • Create event: 2
  • Release event: 1
  • Issues event: 1
  • Watch event: 48
  • Delete event: 3
  • Issue comment event: 2
  • Push event: 3
  • Pull request event: 4
  • Fork event: 1
Last Year
  • Create event: 2
  • Release event: 1
  • Issues event: 1
  • Watch event: 48
  • Delete event: 3
  • Issue comment event: 2
  • Push event: 3
  • Pull request event: 4
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 65
  • Total Committers: 1
  • Avg Commits per committer: 65.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 10
  • Committers: 1
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Willy Fitra Hendria w****a@g****m 65

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 8
  • Total pull requests: 60
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 17 hours
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 0.38
  • Average comments per pull request: 0.05
  • Merged pull requests: 58
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 13
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.08
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • willyfh (4)
  • dgrell (2)
  • Jiayi-hit (1)
  • fpramunno (1)
Pull Request Authors
  • willyfh (107)
  • paulgavrikov (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 613 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
pypi.org: visualtorch

Architecture visualization of Torch models

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 613 Last month
Rankings
Dependent packages count: 9.8%
Average: 37.4%
Dependent repos count: 64.9%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/pre-commit.yml actions
  • actions/checkout v2 composite
setup.py pypi
  • aggdraw >=1.3.11
  • numpy >=1.18.1
  • pillow >=10.0.0
  • torch >=2.0.0
.github/workflows/publish.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/pytest.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docs/requirements.txt pypi
  • myst-parser *
  • nbsphinx *
  • pandoc *
  • sphinx <7.0
  • sphinx-copybutton *
  • sphinx_autodoc_typehints *
  • sphinx_book_theme *
  • sphinx_design *
pyproject.toml pypi
dev-requirements.txt pypi
  • pre-commit * development
  • pytest * development
requirements.txt pypi
  • aggdraw >=1.3.11
  • numpy >=1.18.1
  • pillow >=10.0.0
  • torch >=2.0.0