Alternatives and similar repositories for MLOps

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

• JakobLS / mlops-credit-risk
  MLOps for deploying a Credit Risk model
  ☆34Updated 2 years ago
• Deffro / end-to-end-ML-project
  An end-to-end ML Project
  ☆11Updated 2 years ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆64Updated last year
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆78Updated 3 years ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆234Updated last year
• Thomas-George-T / Ecommerce-Data-MLOps
  End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOp…
  ☆18Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆188Updated 3 weeks ago
• jomariya23156 / full-stack-on-prem-cv-mlops
  "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…
  ☆47Updated last year
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆91Updated 3 years ago
• MarcosMJD / ml-mango-classification
  Machine Learning Model and Deployment for Classification of Mango Varieties
  ☆10Updated 2 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• erkansirin78 / flask-iris-classification
  This is a simple iris flower classification model deployment project as flask app on Docker or Kubernetes.
  ☆12Updated 3 years ago
• fabioba / mlops-architecture
  This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.
  ☆21Updated 2 years ago
• evidentlyai / ml_observability_course
  Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…
  ☆95Updated last year
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆64Updated 2 years ago
• renardeinside / e2e-mlops-demo
  E2E MLOps with Databricks
  ☆14Updated 10 months ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 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
• mymlops / airflow-mlflow
  MLOps stack example using Airflow, MLflow and other popular tools.
  ☆44Updated 3 years ago
• dmatrix / mlflow-workshop-part-1
  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 three …
  ☆240Updated 5 years ago
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆63Updated 3 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆111Updated 2 years ago
• DanilBaibak / real-time-ml-prediction
  Build a production ready Machine Learning service for real-time prediction using FastAPI
  ☆34Updated 3 years ago
• kaislar / ds_template
  ☆37Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 3 weeks ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆117Updated 3 weeks ago
• TripathiAshutosh / mlflow
  MLflow related work
  ☆40Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated 3 weeks ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year