<div align="center">
<h1>🔥 VisualTorch 🔥</h1>
[]() []() [](https://pepy.tech/project/visualtorch) [](https://github.com/willyfh/visualtorch/actions/workflows/pytest.yml) [](https://visualtorch.readthedocs.io/en/latest/?badge=latest)
</div>
**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](https://github.com/paulgavrikov/visualkeras), [pytorchviz](https://github.com/szagoruyko/pytorchviz), and [pytorch-summary](https://github.com/sksq96/pytorch-summary).
**Note:** VisualTorch may not yet support complex models, but contributions are welcome!
<div align="center">

</div>
## Documentation
Online documentation is available at [visualtorch.readthedocs.io](https://visualtorch.readthedocs.io/en/latest/).
The docs include [usage examples](https://visualtorch.readthedocs.io/en/latest/usage_examples/index.html), [API references](https://visualtorch.readthedocs.io/en/latest/markdown/api_references/index.html), and other useful information.
## Installation
See the [Installation page](https://visualtorch.readthedocs.io/en/latest/markdown/get_started/installation.html).
## Examples
See the [Usage Examples page](https://visualtorch.readthedocs.io/en/latest/usage_examples/index.html).
## Contributing
Please feel free to send a pull request to contribute to this project.
## License
This poject is available as open source under the terms of the [MIT License](https://github.com/willyfh/visualtorch/blob/update-readme/LICENSE).
Originally, this project was based on the [visualkeras](https://github.com/paulgavrikov/visualkeras) (under the MIT license), with additional modifications inspired by [pytorchviz](https://github.com/szagoruyko/pytorchviz), and [pytorch-summary](https://github.com/sksq96/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](https://visualtorch.readthedocs.io/en/latest/index.html#citation) is available.
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"description": "<div align=\"center\">\n <h1>\ud83d\udd25 VisualTorch \ud83d\udd25</h1>\n\n[]() []() [](https://pepy.tech/project/visualtorch) [](https://github.com/willyfh/visualtorch/actions/workflows/pytest.yml) [](https://visualtorch.readthedocs.io/en/latest/?badge=latest)\n\n</div>\n\n**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](https://github.com/paulgavrikov/visualkeras), [pytorchviz](https://github.com/szagoruyko/pytorchviz), and [pytorch-summary](https://github.com/sksq96/pytorch-summary).\n\n**Note:** VisualTorch may not yet support complex models, but contributions are welcome!\n\n<div align=\"center\">\n\n\n\n</div>\n\n## Documentation\n\nOnline documentation is available at [visualtorch.readthedocs.io](https://visualtorch.readthedocs.io/en/latest/).\n\nThe docs include [usage examples](https://visualtorch.readthedocs.io/en/latest/usage_examples/index.html), [API references](https://visualtorch.readthedocs.io/en/latest/markdown/api_references/index.html), and other useful information.\n\n## Installation\n\nSee the [Installation page](https://visualtorch.readthedocs.io/en/latest/markdown/get_started/installation.html).\n\n## Examples\n\nSee the [Usage Examples page](https://visualtorch.readthedocs.io/en/latest/usage_examples/index.html).\n\n## Contributing\n\nPlease feel free to send a pull request to contribute to this project.\n\n## License\n\nThis poject is available as open source under the terms of the [MIT License](https://github.com/willyfh/visualtorch/blob/update-readme/LICENSE).\n\nOriginally, this project was based on the [visualkeras](https://github.com/paulgavrikov/visualkeras) (under the MIT license), with additional modifications inspired by [pytorchviz](https://github.com/szagoruyko/pytorchviz), and [pytorch-summary](https://github.com/sksq96/pytorch-summary), both of which are also licensed under the MIT license.\n\n## Citation\n\nPlease cite this project in your publications if it helps your research.\n\n[A ready-made citation entry](https://visualtorch.readthedocs.io/en/latest/index.html#citation) is available.\n",
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