fabioba / mlops-architectureLinks
This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.
☆22Updated 3 years ago
Alternatives and similar repositories for mlops-architecture
Users that are interested in mlops-architecture are comparing it to the libraries listed below
Sorting:
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆96Updated 3 years ago
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- Demo for CI/CD in a machine learning project☆116Updated 2 years ago
- "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
- Awesome MLOps Course Outline☆36Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- ☆11Updated 2 years ago
- ☆21Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.☆28Updated 3 years ago
- MLOps stack example using Airflow, MLflow and other popular tools.☆45Updated 3 years ago
- MLOps for deploying a Credit Risk model☆34Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Machine Learning Ops Project☆30Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆95Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Demo Computer Vision Project☆65Updated 2 years ago
- ☆23Updated 3 years ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆64Updated 2 years ago
- Production-Ready Applied Deep Learning☆91Updated last month
- Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker☆26Updated 3 years ago
- Project for real-time anomaly detection using Kafka and python☆58Updated 3 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago
- This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO☆18Updated 2 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆27Updated 11 months ago
- Full Machine Learning Lifecycle using Airflow, MLflow, and AWS S3☆26Updated 2 years ago
- Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retrainin…☆74Updated last year
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago