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A neural network model architecture template

Project description

Template NN

Template NN is a lightweight, easy-to-use library designed to streamline the learning process of machine learning. It aims to provide a more opinionated interface while maintaining full compatibility with any existing PyTorch code.

Huge thanks to the PyTorch team for enabling projects like this.

Purpose

Initially developed for my thesis to simplify the codebase, but evolved to a library with a declarative interface for testing and benchmarking neural networks.

The classes uses shortened acronyms such as CNN for Convolution Neural Network with single line instantiation to better focus on the learning aspect of ML.

Installation

Install this library from PyPI:

pip install template-nn

Clone the repository and install it locally for development:

git clone https://github.com/gabrielchoong/template-nn.git
cd template-nn

Using uv (recommended):

uv venv
uv sync

Using pip (not recommended for contributing):

pip install -r requirements.txt
pip install .

Releases and Contributing

See changelog for previous changes. Expect breaking changes at this stage.

See contributing if you wish to contribute to this project.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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