Kernel for Kubeflow in Jupyter Notebook
Switch branches/tags
Nothing to show
Clone or download
gaocegege and caicloud-bot *: Support customized namespace (#59)
* *: Support customized namespace

Signed-off-by: Ce Gao <gaoce@caicloud.io>

* generator_test: Fix

Signed-off-by: Ce Gao <gaoce@caicloud.io>
Latest commit ebedd2a Nov 3, 2018

README.md

Ciao - Kernel for Kubeflow in Jupyter Notebook

Go Report Card Build Status Coverage Status

Ciao is still in early development -- it is not feature-complete or production-ready. Please try our experimental kernel and give us your feedback.

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.

Ciao and SOS integration

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.