# mallahyari/ml-practical-usecases

A database of 650 Machine Learning (ML) system design case studies from 100+ companies.

Repository: https://github.com/mallahyari/ml-practical-usecases
Canonical: https://ross.abutalabs.com/products/ml-practical-usecases
License Family: other
Last push: 2025-08-31T02:16:26+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 39, release rhythm 35, longevity 56
- inputs: {"age_days": 794, "days_push": 368, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1299, forks 226 (observed 2026-08-28T04:04:17.308935+00:00)

## What it is
A curated database of 650 machine learning system design case studies from over 100 companies like Netflix, Airbnb, and DoorDash. It compiles links and summaries of engineering blog posts showing how real companies apply ML in production.

## Use cases
- learn ml system design from real company examples
- find case studies of machine learning in production
- study how netflix or airbnb use machine learning
- prepare for ml system design interviews
- research recommender system and rag implementations at companies
- browse engineering blogs about applied machine learning

## When to choose
- you want real-world examples of ML system design decisions
- you are preparing for ML engineering or system design interviews
- you need inspiration for applying ML to a product problem

## When to avoid
- you need runnable code or a software library
- you want a structured dataset in a machine-readable format
- you need up-to-date or deeply analyzed content rather than curated links

## Facets
- artifact type: dataset
- maturity: active
- function: machine-learning, documentation, data-science
- domain: machine-learning, tutorials, awesome-lists, education
- platform: cross-platform
- tags: case-studies, ml-system-design, learning-resource, curated-list, engineering-blogs

## Member repositories
- mallahyari/ml-practical-usecases (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:17.308935+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:53:26.413556+00:00, confidence not recorded.
  - readme: https://github.com/mallahyari/ml-practical-usecases (fetched 2026-08-28T04:04:17.308935+00:00, sha c6adf4d1ee40)
- Data as of 2026-08-30T08:39:29.467469+00:00.