Alternatives and similar repositories for conventions:

Users that are interested in conventions are comparing it to the libraries listed below

• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated 11 months ago
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated last year
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆134Updated last year
• htorrence / pytest_examples
  Reference package for unit tests
  ☆49Updated 6 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• jacopotagliabue / paas-data-ingestion
  Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
  ☆71Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• marcosmarxm / airflow-testing-ci-workflow
  (project & tutorial) dag pipeline tests + ci/cd setup
  ☆86Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆180Updated 8 months ago
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆76Updated 2 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated last year
• 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
• MBKraus / incremental_training
  Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
  ☆119Updated last year
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆69Updated 2 weeks ago
• 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…
  ☆19Updated 3 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆107Updated 5 years ago
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated 9 months ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated last year
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆53Updated 2 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 2 years ago
• alexeygrigorev / aws-lambda-docker
  Using AWS Lambda with Docker to deploy a deep learning model
  ☆23Updated 4 years ago
• karpenkovarya / airflow_for_beginners
  ☆181Updated 2 years ago
• Galileo-Galilei / kedro-mlflow-tutorial
  A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …
  ☆37Updated 2 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 6 years ago
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆80Updated 10 months ago
• feast-dev / feast-aws-credit-scoring-tutorial
  Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
  ☆63Updated 3 years ago
• vincentclaes / datajob
  Build and deploy a serverless data pipeline on AWS with no effort.
  ☆111Updated 2 years ago