graviraja/MLOps-Basics resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

8908 stars · 1772 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A week-by-week tutorial series (Jupyter notebooks plus blog posts) teaching MLOps fundamentals such as model building, experiment monitoring, configuration management, testing, packaging, deployment, and CI/CD. It uses tools like Hugging Face Transformers, PyTorch Lightning, Weights & Biases, and Hydra.

Use cases

• learn mlops basics from scratch
• how to track machine learning experiments with weights and biases
• manage ml project configurations with hydra
• deploy machine learning models and set up cicd
• structure a pytorch lightning training project
• monitor model performance in production

When to choose

• you are new to MLOps and want a guided, hands-on curriculum
• you want practical examples combining PyTorch Lightning, W&B, and Hydra
• you prefer learning through notebooks and accompanying blog posts

When to avoid

• you need production-grade, maintained MLOps tooling rather than educational material
• you want advanced or enterprise MLOps topics beyond the basics
• you need a supported software product with guarantees

Facets

learning-resource · maturity maintenance

machine-learning monitoring ci-cd configuration-management deployment testing machine-learning tutorials deep-learning python cross-platform mlops tutorial-series pytorch-lightning weights-and-biases hydra cicd model-deployment jupyter-notebooks devops

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markdown · JSON · MCP: product_card(name="graviraja/MLOps-Basics")