trainindata / testing-and-monitoring-ml-deploymentsLinks
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
☆135Updated last year
Alternatives and similar repositories for testing-and-monitoring-ml-deployments
Users that are interested in testing-and-monitoring-ml-deployments are comparing it to the libraries listed below
Sorting:
- 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 …☆241Updated 5 years ago
- Basic and advanced MLflow examples for many ML flavors☆240Updated last year
- Engineering MLOps, published by Packt☆190Updated last week
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Template repository for data science lifecycle project☆200Updated 5 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- ☆202Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆120Updated last week
- This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel☆188Updated 4 years ago
- Code for the online course "Deployment of Machine Learning Models"☆877Updated last year
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last week
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- ☆41Updated 5 years ago
- ☆81Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated last week
- A repository of machine learning codes written for re-usability☆142Updated 6 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆419Updated 11 months ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated 2 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆121Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆605Updated 2 years ago