Kubeflow weekly

Helm Charts for Kubeflow

数据之书，让每一个人从数据中获益。

💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.

There are many reasons that the natural inclination to look at the cloud for execution of Kubernetes data science analytics workloads may not be the best first choice for some organizations but CNCF still shows the way forward towards structuring both infrastructure and applications to embrace on-premise environments that enable either eventual …

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++, Cognonic, etc.

👩‍🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.

Kubernetes workflows to be executed on ArgoCD

Go client for TF Operator.

A CLI for kubeflow.

Simple docker container to get dcos with k8s and kubeflow

Complete Kubernetes deployments for all our services

🎱 A demonstration of existing machine learning toolkits on Kubernetes

Kubeflow running on Kubernetes - Machine Learning Toolkit for Kubernetes

Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline

A guideline for basic use and installation of kubeflow in AWS.

My Pix2Pix implementation used for a Kubeflow Pipelines demo at Google Next 2019

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

A CLI to deploy and run ML workflows using Kubeflow. Strictly WIP - Not suitable for use as of now.

Kernel for Kubeflow in Jupyter Notebook