Dockerfiles for different ML-based docker images featuring jupyter lab, apache-beam, pandas, numpy, sentence-transformers, spacy, torch & other stuff.
user: jupyter uid: 1000
Please, see CONTRIBUTING.md for more details on:
- using pre-commit;
- following the git flow and making good pull requests.
Besides all the explanations in the CONTRIBUTING.md file, you can use the docker-compose file (e.g. if you prefer to use docker instead of installing the tools locally)
docker-compose run pre-commit