Alternatives and similar repositories for kubeflow-pipelines-sagemaker-examples

Users that are interested in kubeflow-pipelines-sagemaker-examples are comparing it to the libraries listed below

• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 3 years ago
• deep-diver / Model-Training-as-a-CI-CD-System
  Demonstration of the Model Training as a CI/CD System in Vertex AI
  ☆29Updated 4 years ago
• arjun921 / aws-spot-instances-kubeflow
  Config files for setting up Multitenant Kubeflow on AWS with spot instances
  ☆10Updated 5 years ago
• noahgift / or
  Operations Research Algorithms
  ☆18Updated last year
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• aws-samples / aws-samples-for-ray
  ☆73Updated last year
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆20Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• aws / sagemaker-rl-container
  A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.
  ☆82Updated last year
• kubeflow-kale / examples
  Examples to showcase the use of Kale in data science pipelines
  ☆27Updated 2 years ago
• agilestacks / stack-ml-eks
  Customizable GitOps template for Kubeflow on AWS EKS
  ☆10Updated 4 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• aws-samples / amazon-sagemaker-nvidia-ngc-examples
  Examples showing use of NGC containers and models withing Amazon SageMaker
  ☆17Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 9 months ago
• dimitreOliveira / bert-as-a-service_TFX
  End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
  ☆43Updated 2 years ago
• ChicagoDataScience / MLOps
  ☆30Updated 4 years ago
• sayakpaul / Dual-Deployments-on-Vertex-AI
  Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
  ☆34Updated 3 years ago
• ThoughtWorksInc / ml-app-template
  An ML project template with sensible defaults
  ☆37Updated 3 years ago
• gsingers / search_fundamentals_course
  Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…
  ☆46Updated 2 years ago
• v3io / tutorials
  ☆35Updated 6 months ago
• bentoml / gallery
  BentoML Example Projects 🎨
  ☆140Updated 9 months ago
• GoogleCloudPlatform / cloudml-hypertune
  ☆39Updated 2 years ago
• aws-samples / TensorFlow-in-SageMaker-workshop
  Running your TensorFlow models in Amazon SageMaker
  ☆33Updated 5 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• aws-samples / amazon-sagemaker-managed-spot-training
  Amazon SageMaker Managed Spot Training Examples
  ☆50Updated last year