Good practice deep learning project starter, strongly inspired from . It uses the following libraries:
- Pytorch (deep learning framework)
- Pytorch Lightning (Pytorch wrapper for flexible and scalable trainings)
- Hydra (configuration tool)
- Weight and biases (experiment logging framework)
- Poetry (package manager)
- Sphinx (documentation)
Choose carefully your project name, then rename every project_src
variable in every file, but also rename every file or folder containing this string.
.env.example
can be used to store private variables.gitlab-ci.yml
deploy the documentation on gitlab pages- use the folder
./tests
to run tests with pytest
python=^3.7,<3.11
poetry=^1.1.6
. You can install it as written in their doc.
poetry install
Training a model
# default
poetry run python run.py
# config update via command line
poetry run python run.py trainer.gpus=1
Documentation is generated by sphinx and uses the theme furo.
cd docs
make html
To execute again autodoc: sphinx-apidoc -o source ../project_src
Open documentation with start build\html\index.html
(windows), else run open build/html/index.html