Applied ML
How real companies actually ship ML
Learn AI & machine learningCurated papers & postsMITRuns locallyMarkdownIntermediate
🐳 Docker pulls
📦 PyPI downloads / month
📦 npm downloads / month
🚀 Latest release ·
What is Applied ML?
Eugene Yan's curated collection of papers and engineering blog posts on how companies actually build and deploy ML systems in production — organised by problem, not by algorithm.
Why people choose Applied ML
- Real production systems, not toy examples
- Organised by problem, not by algorithm
- Curated by a practising ML engineer
Applied ML at a glance
| Category | Learn AI & machine learning |
| Type | Curated papers & posts |
| License | MIT |
| Runs locally | Yes |
| Built with | Markdown |
| Skill level | Intermediate |
| Best for | learning from what companies really did |
Latest releases
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FAQ
Is Applied ML free?
Applied ML is free and open-source (MIT license), so you can use, self-host and modify it at no cost.
Can I run Applied ML locally?
Yes. Applied ML is designed to run on your own machine or server, keeping your data private.
What is the best alternative to Applied ML?
Popular open-source alternatives include Virgilio, ML for Beginners, AI for Beginners. See the comparisons above to choose.
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