Alternatives and similar repositories for pyconde2019-airflow-ml-workshop

Users that are interested in pyconde2019-airflow-ml-workshop are comparing it to the libraries listed below

• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• MBKraus / incremental_training
  Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
  ☆121Updated 2 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 6 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆67Updated 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 8 months ago
• dmatrix / mlflow-workshop-part-3
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆35Updated 5 years ago
• dmatrix / mlflow-workshop-part-2
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆39Updated 4 years ago
• marcosmarxm / airflow-testing-ci-workflow
  (project & tutorial) dag pipeline tests + ci/cd setup
  ☆88Updated 4 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 2 years ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆86Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated 2 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 11 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• BogdanCojocar / medium-articles
  Repo for all my code on the articles I post on medium
  ☆107Updated 2 years ago
• kylegallatin / mlops-pipeline
  ☆20Updated 4 years ago
• monte-carlo-data / data-downtime-challenge
  ☆88Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated 2 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 6 years ago
• elleobrien / wine
  wine prediction dataset
  ☆67Updated last year