feast-dev / feast-aws-credit-scoring-tutorial
Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
☆63Updated 3 years ago
Alternatives and similar repositories for feast-aws-credit-scoring-tutorial:
Users that are interested in feast-aws-credit-scoring-tutorial are comparing it to the libraries listed below
- A workshop with several modules to help learn Feast, an open-source feature store☆87Updated 2 months ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Example repo to kickstart integration with mlflow pipelines.☆76Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated 7 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 2 months ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆119Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 6 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- ☆27Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆74Updated 10 months ago
- PostgreSQL offline and online stores for Feast☆32Updated 2 years ago
- Example repo to kickstart integration with mlflow recipes.☆43Updated last month
- Capturing model drift and handling its response - Example webinar☆107Updated 5 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆81Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆126Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 5 months ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆81Updated 2 years ago
- Data Science Quick Tips Repository!☆47Updated last year
- CI/CD pipeline with Amazon SageMaker and Github actions☆23Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 11 months ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- A series of workshop modules introducing Feast feature store.☆19Updated 2 years ago
- Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.☆53Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆196Updated last year