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https://github.com/ki-labs/kaos
open source platform for simplifying machine learning deployment
https://github.com/ki-labs/kaos
cloud-agnostic kaos kubernetes ml pachyderm platform python terraform
Last synced: about 7 hours ago
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open source platform for simplifying machine learning deployment
- Host: GitHub
- URL: https://github.com/ki-labs/kaos
- Owner: KI-labs
- License: apache-2.0
- Created: 2019-10-17T12:53:18.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T03:15:20.000Z (almost 2 years ago)
- Last Synced: 2024-08-06T03:02:26.724Z (3 months ago)
- Topics: cloud-agnostic, kaos, kubernetes, ml, pachyderm, platform, python, terraform
- Language: Python
- Homepage: https://www.ki-labs.com/kaos
- Size: 23.5 MB
- Stars: 91
- Watchers: 10
- Forks: 10
- Open Issues: 67
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Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
##
### What is kaos?kaos is **the** platform for deploying **scalable reproducible machine learning workflows in your own private environment.**
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### Why kaos?Check out our [**motivation**](https://kaos.ki-labs.com/motivation) for developing our own platform for **simplifying** both **ML** **DevOps** and enforcing **reproducible Data Science workflows**.
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### Quick StartTrain, serve and predict in your **own** running cluster with [**8 commands!**](https://kaos.ki-labs.com/getting-started/quick-start)
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### Features![](docs/.gitbook/assets/kaos-features.png)
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### DocumentationCheck out our [Official Documentation](https://kaos.ki-labs.com)
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### Get Involved* Check the [Changelog](https://kaos.ki-labs.com/miscellaneous/changelog) for release information
* Visit the [Public Roadmap](https://kaos.ki-labs.com/miscellaneous/roadmap) to see what's coming next
* Bugs, issues and contributions should be created on [GitHub](https://github.com/KI-labs/kaos/issues/new/choose)
* Check out the [list](CONTRIBUTORS.md) of people who already contributed
* Help improve kaos by following our [Contribution Guide](.github/CONTRIBUTING.md)