👩🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.
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Updated
Nov 8, 2018 - Python
👩🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.
🎱 A demonstration of existing machine learning toolkits on Kubernetes
Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
Passing Passing a variable(which can be used as parameter) generated from first container to next container to be used as parameter.
ML Infrastructure, containers, and serverless apps on AWS, Azure, GCP, and Kubernetes deployed with Pulumi
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).
capsulet networks ( for text ) on Kubeflow
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
Bioinformatics pipeline examples on Kubernetes using Argo and Kubeflow Pipelines
This repository is about Kubeflow for distributed processing && model compressing
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
A transformer for KFServing that users keras_image_helper
In this repo it is show how to build and deploy a simple pipeline using Kubernetes, Kubeflow pipelines and seldon-core.
A declarative KubeFlow Management Tool
Extensions to kubeflow pipeline sdk.
kubeflow example
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