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Deep learning project seed

Use this seed to start new deep learning / ML projects.

  • Built in setup.py
  • Built in requirements
  • Examples with MNIST
  • Badges
  • Bibtex

Goals

The goal of this seed is to structure ML paper-code the same so that work can easily be extended and replicated.

DELETE EVERYTHING ABOVE FOR YOUR PROJECT


Your Project Name

Paper Conference Conference Conference

CI testing

Description

What it does

How to run

First, install dependencies

# clone project   
git clone https://github.com/YourGithubName/deep-learning-project-template

# install project   
cd deep-learning-project-template 
pip install -e .   
pip install -r requirements.txt

Next, navigate to any file and run it.

# run module (example: mnist as your main contribution)   
python project/train.py fit --config ../config/config.yaml

Config

If you would like to learn more about the lightning cli please head over to the LighningCLI docs.

Citation

@article{YourName,
  title={Your Title},
  author={Your team},
  journal={Location},
  year={Year}
}

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Pytorch Lightning code guideline for conferences

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  • Python 91.6%
  • Shell 8.4%