Made With ML resource

Health v2 · maintenance only

Adoption not part of the score

49233 stars · 7729 forks observed · 2026-08-28

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

Made With ML is an open-source course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications. It combines lessons on madewithml.com with hands-on Jupyter Notebook code covering MLOps, distributed training with Ray, and CI/CD workflows.

Use cases

• learn mlops end to end
• deploy machine learning models to production
• learn distributed training with ray
• set up ci/cd for ml pipelines
• learn production ml best practices
• build an end-to-end ml system
• learn llm application development

When to choose

• you want a structured, first-principles ML engineering course with runnable code
• you need to learn how to scale ML workloads in Python with Ray
• you want to practice going from notebook experimentation to production deployment

When to avoid

• you need a production tool or library rather than educational material
• you want a framework-agnostic deep theory course without code
• you need non-Python ML tooling

Facets

learning-resource · maturity active

machine-learning deep-learning llm-training etl ci-cd testing machine-learning developer-tools tutorials python cloud mlops ray distributed-training course pytorch production-ml jupyter-notebooks data-engineering docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="GokuMohandas/Made-With-ML")