Alternatives and similar repositories for azureml-tutorial:

Users that are interested in azureml-tutorial are comparing it to the libraries listed below

• SaschaDittmann / MLOps-Lab
  This repository contains sample code, which is used for a MLOps Workshop
  ☆26Updated last year
• MG-Microsoft / Azure-Databricks-MLOps
  ☆15Updated last year
• rsethur / MLOps
  Modular and minimalistic MLOps recipes
  ☆70Updated 4 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• nfmoore / azure-databricks-containers-mlops-example-scenarios
  Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with…
  ☆22Updated 5 months ago
• Azure / employee-retention-databricks-kubernetes-poc
  End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for an employee retentio…
  ☆14Updated 7 months ago
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆60Updated 3 years ago
• noahgift / managed_ml_systems_and_iot
  Managed Machine Learning Systems and Internet of Things Live Lesson
  ☆39Updated last week
• microsoft / MLOpsSamples
  Samples for use with MLOps
  ☆13Updated last year
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• SaschaDittmann / MLOps-Databricks
  MLOps using Azure Databricks, Azure DevOps and Azure ML Services
  ☆56Updated 3 years ago
• microsoft / azureml-ops-accelerator
  Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…
  ☆46Updated 10 months ago
• srivatsan88 / model-deployment
  This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3…
  ☆99Updated 4 years ago
• data-describe / awesome-data-science-models
  A few end to end examples that use data-describe
  ☆16Updated last year
• mohanakrishnavh / PySpark-Tutorial
  ☆19Updated 6 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year
• marvinbuss / MLDevOps
  ML DevOps using GitHub Actions and Azure Machine Learning
  ☆40Updated 4 years ago
• 8080labs / showcases
  A collection of Python scripts
  ☆13Updated 4 years ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆40Updated last week
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• rebremer / devopsai_databricks
  DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service
  ☆16Updated 3 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated last week
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• igponce / Azure-DP-100-Data-Scientist-Study-Guide
  Azure DP-100 Data Scientist Study Guide
  ☆9Updated 3 years ago
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆37Updated 3 years ago
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆49Updated 2 years ago
• noahgift / aws-ml-guide
  [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
  ☆121Updated last week
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆29Updated 4 years ago
• lush9516 / Daily-Practice-for-Coding
  This is a record of all my coding practice including Data Manipulation, Data Structure and Algorithm, Data Visualization.
  ☆13Updated 4 years ago