fabioba / mlops-architectureLinks
This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.
☆21Updated 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☆93Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- Machine Learning Ops Project☆30Updated last year
- Examples of using Evidently to evaluate, test and monitor ML models.☆41Updated last month
- "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 2 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆26Updated 8 months ago
- Demo Computer Vision Project☆65Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- Test LLMs automatically with Giskard and CI/CD☆31Updated last year
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 3 years ago
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.☆17Updated last year
- This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO☆18Updated 2 years ago
- ☆15Updated 2 years ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Demo for CI/CD in a machine learning project☆116Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 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.☆27Updated 3 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last week
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- MLOps maturity assessment☆61Updated 2 years ago