Ciao - Kernel for Kubelow in Jupyter Notebook
Ciao is still in early development -- it is not feature-complete or production-ready. Please try our experimental kernel and give us your feedback.
- Report bugs to Ciao Issues
- Chat at the Kubeflow Slack Channel (Please @gaocegege to let us know)
Overview
Ciao is a jupyter kernel for Kubeflow. The name of the project Ciao comes from Italian:
The word "ciao" (/ˈtʃaʊ/; Italian pronunciation: [ˈtʃaːo]) is an informal salutation in the Italian language that is used for both "hello" and "goodbye".
Ciao's goal is to simplify the machine learning workflow using Kubeflow. Currently, users could create a distributed model training job from Jupyter Notebook and get the logs of all replicas (parameter servers and workers) in the output.
Demo
Please see the Demo Show.
Usage
There are some magic commands supported by Ciao:
%framework=tensorflow
%ps={number}
%worker={number}
or
%framework=pytorch
%master={number}
%worker={number}
Examples
Installation
Please see the Installation Guide.
Design Document
Please see the Design Document to know the architecture of Ciao.
Acknowledgments
- Thank kubeflow/kubeflow for the awesome operators which supports TensorFlow/PyTorch and many other ML frameworks on Kubernetes.
- Thank gopherdata/gophernotes for the reference implementation of Jupyter Kernel in Golang.
- Thank openshift/source-to-image for the tool to convert source code to Docker image directly.