Alternatives and similar repositories for kubeflow-introduction

Users that are interested in kubeflow-introduction are comparing it to the libraries listed below

• h2oai / h2o-kubeflow
  ☆37Updated 6 years ago
• wbuchwalter / fairing
  👩‍🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.
  ☆31Updated 7 years ago
• kubeflow / testing
  Test infrastructure and tooling for Kubeflow.
  ☆62Updated 11 months ago
• kubeflow / example-seldon
  Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
  ☆172Updated 4 years ago
• kubeflow / code-intelligence
  ML-Powered Developer Tools, using Kubeflow
  ☆55Updated 4 years ago
• kubeflow / metadata
  Repository for assets related to Metadata.
  ☆123Updated 4 years ago
• kubeflow / kfctl
  kfctl is a CLI for deploying and managing Kubeflow
  ☆183Updated 2 years ago
• polyaxon / polyaxon-quick-start
  A quick start project for polyaxon
  ☆29Updated last year
• yu-iskw / google-cloud-deep-learning-kit
  Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
  ☆39Updated 7 years ago
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• aronchick / kubeflow-and-mlops
  ☆28Updated 6 years ago
• aws-samples / machine-learning-using-k8s
  Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
  ☆169Updated 6 years ago
• SeldonIO / seldon-operator
  Seldon Core Operator for Kubernetes
  ☆13Updated 6 years ago
• dwhitena / oreilly-ai-k8s-tutorial
  Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018
  ☆65Updated 7 years ago
• yu-iskw / machine-learning-microservice-python
  Example to implement machine learning microservice with gRPC and Docker in Python
  ☆83Updated 4 years ago
• amygdala / code-snippets
  Small Google Cloud Platform examples and code snippets.
  ☆155Updated 2 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• shashankprasanna / kubeflow-pipelines-sagemaker-examples
  Examples for using Amazon SageMaker components in Kubeflow Pipelines
  ☆22Updated 5 years ago
• aws / amazon-sagemaker-operator-for-k8s
  Amazon SageMaker operator for Kubernetes
  ☆149Updated 2 years ago
• GoogleCloudPlatform / cloudml-dist-mnist-example
  ☆83Updated 6 years ago
• SeldonIO / mlgraph
  Machine Learning Inference Graph Spec
  ☆21Updated 6 years ago
• canonical-labs / kubeflow-tools
  Simple scripts and instructions for getting the most out of your kubeflow cluster. Use kubernetes-tools to setup and manage Kubernetes us…
  ☆19Updated 6 years ago
• google-aai / tf-serving-k8s-tutorial
  A Tutorial for Serving Tensorflow Models using Kubernetes
  ☆88Updated 2 months ago
• polyaxon / charts
  Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
  ☆34Updated this week
• GoogleCloudPlatform / cos-gpu-installer
  Scripts to build and use a container to install GPU drivers on Container-Optimized OS images
  ☆90Updated 4 years ago
• ritazh / k8s-ml
  🎱 A demonstration of existing machine learning toolkits on Kubernetes
  ☆56Updated 6 years ago
• CognonicLabs / awesome-AI-kubernetes
  Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing …
  ☆142Updated last year
• awslabs / dynamic-training-with-apache-mxnet-on-aws
  Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …
  ☆56Updated 3 years ago
• awsdocs / aws-deep-learning-amis
  This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud
  ☆45Updated 2 years ago
• cnvrg / imdb_deploy
  Deploy an IMDB sentiment analysis model using kubernetes
  ☆13Updated 2 years ago