- Lecture: slides, video
- Seminar: see the example_project directory, video
- Homework: see homework/README.md
- Tools for experiment tracking: Comet, Neptune, Sacred, Weights and Biases, ClearML
- DVC and Pachyderm for artifact versioning
- Hydra documentation
- Unittest built-in module
- Doctest built-in module (useful for testing docstrings!)
- Pytest repository
- Pytest plugins: pytest-xdist for parallel execution, pytest-cov for coverage reports.
- Hypothesis quick start guide and integration with pytest
- Full Stack Deep Learning "Troubleshooting & Testing" lecture
- Made With ML MLOps Course, "Testing Machine Learning Systems: Code, Data and Models"