jonathandinu / spark-ray-data-scienceLinks
Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.
☆53Updated 11 months ago
Alternatives and similar repositories for spark-ray-data-science
Users that are interested in spark-ray-data-science are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- An example MLFlow project☆49Updated 11 months ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆87Updated 2 years ago
- Code examples for the Introduction to Kubeflow course☆14Updated 4 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Scaling Python Machine Learning☆52Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated last week
- Introduction to Ray Core Design Patterns and APIs.☆74Updated last year
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆144Updated last year
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Serverless Python with Ray☆59Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- ☆19Updated 4 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- ☆21Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆20Updated 4 years ago
- ☆59Updated 4 years ago
- ☆28Updated 3 years ago
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering☆42Updated last year
- ☆27Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆73Updated 4 months ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated 2 years ago
- Public source code for the Batch Processing with Apache Beam (Python) online course☆18Updated 5 years ago
- ☆66Updated 7 months ago
- ☆18Updated 4 years ago