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.
  ☆151Updated last year
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated 2 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• jeremyjordan / ml-monitoring
  A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
  ☆233Updated last year
• 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
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆97Updated 3 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆184Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated last year
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆72Updated 7 months ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• anovos / anovos
  Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
  ☆74Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆51Updated 3 years ago
• mlrun / demos
  End to end MLRun demos
  ☆93Updated 2 months ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆87Updated 3 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 3 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• srivatsan88 / Mastering-Apache-Spark
  This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
  ☆188Updated 4 years ago
• karpenkovarya / airflow_for_beginners
  ☆179Updated 3 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆149Updated 2 years ago
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆164Updated this week
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago