A neural network model architecture template
Project description
Template NN
Template NN is a lightweight, easy-to-use template built to streamline neural network prototyping. At its core, it leverages the power of PyTorch.
Huge thanks to the PyTorch team for enabling projects like this.
Installation
You can install template-nn via pip:
pip install template-nn
Or clone the repository and install it locally:
git clone https://github.com/gabrielchoong/template-nn.git
cd template-nn
pip install -r requirements.txt
pip install .
Documentation
For detailed documentation, including usage instructions and examples, visit the online documentation at Documentation.
Feature Preview
For more information on how to use this project, see Examples.
from template_nn.shallow.fnn import F_NN
model = F_NN(input_size=10, output_size=5, hidden_sizes=5)
# model = F_NN(input_size=10, output_size=5, hidden_sizes=[8, 6])
Releases and Contributing
This project is currently in its alpha stage. Please file an issue if you found a bug.
To read about the motive and direction of this project, see Roadmap. To read more about the current releases, see Release Notes.
Contributions are welcomed! Please see Contributions for information on contributing.
Contributors
This project is currently being developed by Gabriel and Benjamin.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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