Alternatives and similar repositories for conventions

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

• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated 2 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated 11 months ago
• htorrence / pytest_examples
  Reference package for unit tests
  ☆49Updated 6 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆147Updated last year
• jacopotagliabue / paas-data-ingestion
  Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
  ☆71Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• marcosmarxm / airflow-testing-ci-workflow
  (project & tutorial) dag pipeline tests + ci/cd setup
  ☆87Updated 4 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 4 months ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• MBKraus / incremental_training
  Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
  ☆119Updated 2 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• MuttData / muttlib
  ☆29Updated last year
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆86Updated 2 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• slangenbach / udacity-ds-nanodegree
  This repo contains all materials regarding Udacity's data streaming nanodegree
  ☆8Updated 5 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 last year
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆113Updated last year
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 3 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
• vincentclaes / datajob
  Build and deploy a serverless data pipeline on AWS with no effort.
  ☆111Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated last year
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆77Updated last year
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 3 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆77Updated last year