Alternatives and similar repositories for MLOps

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

• Deffro / end-to-end-ML-project
  An end-to-end ML Project
  ☆11Updated 3 years ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆64Updated 2 years ago
• JakobLS / mlops-credit-risk
  MLOps for deploying a Credit Risk model
  ☆34Updated 2 years ago
• anastasiia-p / airflow-ml
  Airflow Pipeline for Machine Learning
  ☆40Updated 2 years 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…
  ☆49Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆189Updated last month
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆81Updated 3 years ago
• MarcosMJD / ml-mango-classification
  Machine Learning Model and Deployment for Classification of Mango Varieties
  ☆10Updated 3 years ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆242Updated last year
• renardeinside / e2e-mlops-demo
  E2E MLOps with Databricks
  ☆14Updated last year
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆63Updated 4 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…
  ☆98Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆121Updated last month
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• aruberts / tutorials
  Notebooks/scripts for youtube tutorials
  ☆68Updated last year
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• erkansirin78 / flask-iris-classification
  This is a simple iris flower classification model deployment project as flask app on Docker or Kubernetes.
  ☆13Updated 3 years ago
• karan842 / mlops-best-practices
  Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
  ☆77Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆134Updated 4 years ago
• jomariya23156 / sales-forecast-mlops-at-scale
  Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retrainin…
  ☆74Updated last year
• TripathiAshutosh / mlflow
  MLflow related work
  ☆40Updated 2 years ago
• 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
• fabioba / mlops-architecture
  This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.
  ☆22Updated 3 years ago
• alexeygrigorev / fitness-assistant
  This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp
  ☆80Updated last year
• eeeds / employees-attrition-mlops
  Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
  ☆26Updated 3 years ago
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆96Updated 3 years ago
• DanilBaibak / real-time-ml-prediction
  Build a production ready Machine Learning service for real-time prediction using FastAPI
  ☆35Updated 3 years ago
• takechanman1228 / Effective-CLV-Modeling
  ☆21Updated 2 years ago
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆65Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year