artificially-ai / ai-engineering
Controlling AI models distribution and versioning with MLflow and Minio/S3.
☆25Updated 6 years ago
Alternatives and similar repositories for ai-engineering
Users that are interested in ai-engineering are comparing it to the libraries listed below
Sorting:
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year
- Tools for MLflow☆37Updated last year
- Export and import MLflow experiments, runs or registered models☆81Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 3 years ago
- ☆43Updated 2 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆110Updated 2 years ago
- Deploy MLflow with HTTP basic authentication using Docker☆104Updated last month
- MLFLow Tracking Server based on Docker and AWS S3☆70Updated 8 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- PySpark phonetic and string matching algorithms☆39Updated last year
- ☆19Updated 4 years ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- Public repository for versioning machine learning data☆42Updated 3 years ago
- Serve your models with confidence☆39Updated 4 years ago
- 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 four p…☆35Updated 4 years ago
- Pandas helper functions☆30Updated 2 years ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- ☆67Updated 5 years ago
- Dvc + Streamlit = ❤️☆40Updated last year
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆117Updated 2 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 9 months ago
- ☆18Updated 3 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated 2 months ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Scaling Python Machine Learning☆46Updated last year
- MLflow-tracking server example with Minio and H2O☆18Updated 5 years ago