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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A database of 650 Machine Learning (ML) system design case studies from 100+ companies.
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# ML System Design: 650 Case Studies to Learn From ## Overview This repository contains a database of **650 case studies** from over **100 companies**, showcasing how companies like Netflix, Airbnb, and Doordash apply machine learning to enhance their products and processes. These case studies provide practical ML use cases and valuable learnings from designing ML systems. ## Database Content The database includes: - 650 case studies - Contributions from over 100 companies These case studies offer insights into various machine learning applications, highlighting the innovative approaches and methodologies employed by leading companies in the industry. ## Acknowledgements Credit for the compilation of these case studies goes to [Evidently AI](https://www.evidentlyai.com/). This repository is based on their original post. You can find the original post and learn more about their work [here](https://www.evidentlyai.com/ml-system-design). Thank you, Evidently AI, for providing such a valuable resource for the machine learning community! | Company | Industry | Short Description | Title | Tag | Year | Link | | :-------------------- | :---------------------------------------- | :------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------- | ---: | :------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Ramp | Fintech and banking | Better classify customers | From RAG to Richness: How Ramp Revamped Industry Classification | RAG,LLM,ops | 2025 | https://engineering.ramp.com/industry_classification | | Pinterest | Social platforms | Generate diverse and engaging homefeed | Advancements in Embedding-Based Retrieval at Pinterest Homefeed | recommender system | 2025 | https://medium.com/pinterest-engineering/advancements-in-embedding-based-retrieval-at-pinterest-homefeed-d7d7971a409e | | Manus | Tech | Build an AI agent | Context Engineering for AI Agents: Lessons from Building Manus | LLM,AI agents | 2025 | https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus | | Linkedin | Social platforms | Improve prompt engineering process | Building collaborative prompt engineering playgrounds using Jupyter Notebook | ops,LLM | 2025 | https://www.linkedin.com/blog/engineering/product-design/building-collaborative-prompt-engineering-playgrounds-using-jupyter-notebook | | Airbnb | Trave
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