Subject
2 entries
Reproducibility
Bookmarks
Reproducible Deep Learning PhD Course
Simone Scardapane's PhD course on Reproducible Deep Learning — covering Git, Docker, DVC, experiment tracking, and CI/CD for ML research. Addresses the reproducibility crisis in deep learning with practical tooling.
Reproducible Machine Learning Results By Default
Jason Brownlee's Machine Learning Mastery post on setting random seeds and other practices to make ML experiments reproducible by default. A basic hygiene checklist that surprisingly many practitioners skip.