deploy scalable reproducible machine learning workflows in your own private environment
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kaos is the platform for deploying scalable reproducible machine learning workflows in your own private environment.
kaos simplifies ML DevOps and enforces reproducible Data Science workflows… and helped us build a “smarter” BeerBot with Image Classification.
Installation within an isolated environment via a single alias.
alias kaos="docker run -it --rm -v $(pwd):/kaos -e USER=${USER} kilabs/kaos:latest"
Train, serve and predict in your own running cluster with 8 commands.
Content type
Image
Digest
Size
65.9 MB
Last updated
over 6 years ago
docker pull kilabs/kaos