Pytorch Lightning code guideline for conferences。
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.
What it does
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.txtNext, navigate to any file and run it.
# module folder
cd project
# run module (example: mnist as your main contribution)
python lit_classifier_main.py from https://github.com/Lightning-AI/deep-learning-project-template
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