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applied-ml
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
★30.0kstars
MIT
Updated: Today
📋 Project at a Glance
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What's this?A open-source project in the Plugins, MCP & Skills category, core strengths: applied-data-science/applied-machine-learning
Who made it?Maintained by eugeneyan team, 30K⭐ on GitHub, #26 out of 2373 in Plugins, MCP & Skills
Why does it exist?As the Plugins, MCP & Skills landscape evolved, the eugeneyan team identified the need for better applied-data-science solutions. applied-ml was created to simplify applied-machine-learning workflows.
What can it do?Key use cases: computer-vision, data-discovery, data-engineering
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/eugeneyan/applied-ml
🔗 github.com/eugeneyan/applied-ml
Topics
applied-data-scienceapplied-machine-learningcomputer-visiondata-discoverydata-engineeringdata-qualitydata-sciencedeep-learningmachine-learningnatural-language-processingproductionrecsysreinforcement-learningsearch