outerbounds / dsbook
Code samples for the Effective Data Science Infrastructure book
β115Updated last year
Alternatives and similar repositories for dsbook:
Users that are interested in dsbook are comparing it to the libraries listed below
- Joining the modern data stack with the modern ML stackβ195Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β145Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β182Updated 9 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β40Updated 3 months ago
- Example repo to kickstart integration with mlflow pipelines.β76Updated 2 years ago
- Template repo for kickstarting recipes for regression use caseβ54Updated 4 months ago
- It's all in the nameβ77Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦β48Updated 3 years ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and β¦β38Updated 2 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ106Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packtβ159Updated last year
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring modelβ63Updated 3 years ago
- A repository that showcases how you can use ZenML with Gitβ69Updated 9 months ago
- β27Updated 2 years ago
- Reference code base for ML Engineering, Manning Publicationsβ128Updated 3 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 three β¦β238Updated 4 years ago
- An example MLFlow projectβ48Updated 3 months ago
- β43Updated 2 years ago
- β38Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated 6 months ago
- A workshop with several modules to help learn Feast, an open-source feature storeβ88Updated 3 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.β56Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β75Updated 11 months ago
- β30Updated 2 years ago
- Example repo to kickstart integration with mlflow recipes.β44Updated 2 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β208Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.β86Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ53Updated 7 months ago