Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
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Updated
Mar 28, 2019 - Python
Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
My Pix2Pix implementation used for a Kubeflow Pipelines demo at Google Next 2019
Passing Passing a variable(which can be used as parameter) generated from first container to next container to be used as parameter.
Contains a Keras Bi-LSTM for Named Entity Recognition (This example demonstrates how you can use Kubeflow to train and deploy a Keras model with a custom prediction routine).
JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment
A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.
This repository shows how to use kubeflow pipeline with spark-operator.
Cloud Solutions for machine learning and operation.
This project hooks into Kubeflow processes increasing usability for on-prem usage
Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.
In this repo it is show how to build and deploy a simple pipeline using Kubernetes, Kubeflow pipelines and seldon-core.
Kustomize manifest to deploy kubeflow pipelines in AWS
对kubeflow任务抽象的调研过程中实现的选择器:用户可选本地运行或者将任务compile成yaml文件运行于kubeflow dashboard
Extensions to kubeflow pipeline sdk.
kubeflow example
Kubeflow Pipeline along with MLflow Tracking on a time series forecasting example.
Some collected and improved Jupyter Notebook Templates for MLOps, mainly for Kubeflow pipelines on GCP Vertex AI platform and Tensorflow Extended pipelines.
Kubeflow Pipeline sample that uses custom docker image with private python code inside the image as base image for the pipeline components.
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