An application template to wrap your machine learning code as a FAST RESTful API, complete with Dockerfiles, TensorBoard, etc. Check out these simple projects for examples of how this template can be leveraged. → TensorFlow or PyTorch
pip install cookiecutter invoke requests
cookiecutter gh:madewithml/ml-app-template
- Add ML functionality inside
{{ cookiecutter.package_name }}
. - Add unit tests in
tests
as you develop. - Add API functionality inside
app.py
. - Complete
README.md
with the appropriate details. - Ensure that the
Dockerfile
is updated. - Update
.gitignore
before committing to git.