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Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies resource

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases. observed · 2026-08-28

github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies observed · 2026-08-28

Health v2 · maintenance only

40/100

  • Activity 35
  • Release rhythm 35
  • Longevity 59

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 837
  • days_rel: n/a
  • days_push: 393
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

10958 stars · 1681 forks observed · 2026-08-28

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

A curated repository of 300+ machine learning system design case studies from over 80 companies such as Netflix, Airbnb, and DoorDash. It organizes real-world ML applications by industry and use case to help readers learn how ML systems are designed in production.

Use cases

  • learn ml system design from real company case studies
  • prepare for machine learning system design interviews
  • find examples of recommender systems and fraud detection in production
  • study how netflix airbnb and doordash use machine learning
  • browse curated ml case studies by industry

When to choose

  • you want real-world production ML system design examples from major companies
  • you are preparing for ML system design interviews and need concrete case studies
  • you want a free, organized index of ML applications across industries

When to avoid

  • you need runnable code or a software library rather than reading material
  • you want step-by-step tutorials with hands-on exercises instead of case study write-ups
  • you need up-to-date documentation with a maintained license and formal releases

Facets

learning-resource · maturity active

machine-learning developer-tools documentation machine-learning tutorials awesome-lists artificial-intelligence data-science case-studies ml-system-design curated-list interview-prep industry-examples recommender-systems fraud-detection search-ranking web-server

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For agents

markdown · JSON · MCP: product_card(name="Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem