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awesome-production-machine-learning
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
★20.8kstars
MIT
Updated: Today
📋 Project at a Glance
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What's this?Learning & Resources project leveraging awesome and awesome-list, open-source
Who made it?Maintained by EthicalML team, 20.8K⭐ on GitHub, #136 out of 3640 in Learning & Resources
Why does it exist?The EthicalML team recognized that existing awesome tools in Learning & Resources were hard to use. awesome-production-machine-learning was designed to make awesome-list more accessible.
What can it do?Key use cases: data-mining, deep-learning, explainability
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/EthicalML/awesome-production-machine-learning | 官网 https://ethicalml.github.io/awesome-production-machine-learning
🔗 github.com/EthicalML/awesome-production-machine-learning | 官网 https://ethicalml.github.io/awesome-production-machine-learning
Topics
awesomeawesome-listdata-miningdeep-learningexplainabilityinterpretabilitylarge-scale-machine-learninglarge-scale-mlmachine-learningmachine-learning-operationsml-operationsml-opsmlopsprivacy-preservingprivacy-preserving-machine-learningprivacy-preserving-mlproduction-machine-learningproduction-mlresponsible-ai