# ethicalml/awesome-production-machine-learning

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20,638 stars · 2,584 forks · MIT

## Links

- GitHub: https://github.com/EthicalML/awesome-production-machine-learning
- Homepage: https://ethicalml.github.io/awesome-production-machine-learning
- awesome-repositories: https://awesome-repositories.com/repository/ethicalml-awesome-production-machine-learning.md

## Topics

`awesome` `awesome-list` `data-mining` `deep-learning` `explainability` `interpretability` `large-scale-machine-learning` `large-scale-ml` `machine-learning` `machine-learning-operations` `ml-operations` `ml-ops` `mlops` `privacy-preserving` `privacy-preserving-machine-learning` `privacy-preserving-ml` `production-machine-learning` `production-ml` `responsible-ai`

## Description

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

## Tags

### Repository Format

- [Awesome List](https://awesome-repositories.com/f/repository-format/awesome-list.md) — A community-curated directory that catalogs and links out to other open-source projects, rather than a standalone tool you run yourself.

### Part of an Awesome List

- [Applied Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/applied-machine-learning.md) — Resources for deploying and managing machine learning in production.
- [Curated Research Lists](https://awesome-repositories.com/f/awesome-lists/ai/curated-research-lists.md) — Best practices for deploying machine learning in production.
- [Data and Machine Learning](https://awesome-repositories.com/f/awesome-lists/data/data-and-machine-learning.md) — Best practices for deploying machine learning in production.
- [Curated Resource Lists](https://awesome-repositories.com/f/awesome-lists/devtools/curated-resource-lists.md) — Resources for deploying, monitoring, and scaling machine learning models.
- [Related Awesome Lists](https://awesome-repositories.com/f/awesome-lists/more/related-awesome-lists.md) — Resources for deploying machine learning in production.