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.
☆52Updated 8 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:
- An example MLFlow project☆49Updated 8 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- Public source code for the Batch Processing with Apache Beam (Python) online course☆18Updated 5 years ago
- Serverless Python with Ray☆58Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Introduction to Ray Core Design Patterns and APIs.☆72Updated last year
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…☆23Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 3 years ago
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 3 years ago
- real-time data + ML pipeline☆54Updated 2 weeks ago
- ☆21Updated 2 years ago
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- ☆27Updated 3 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆84Updated last year
- [Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Co…☆140Updated 8 months ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆74Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆70Updated 2 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- ☆59Updated 3 years ago