scalingpythonml / scalingpythonmlLinks
Scaling Python Machine Learning
☆50Updated 2 years ago
Alternatives and similar repositories for scalingpythonml
Users that are interested in scalingpythonml are comparing it to the libraries listed below
Sorting:
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Introduction to Ray Core Design Patterns and APIs.☆72Updated last year
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 4 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Serverless Python with Ray☆58Updated 2 years ago
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A series of workshop modules introducing Feast feature store.☆19Updated 3 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- real-time data + ML pipeline☆54Updated this week
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 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
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆52Updated 8 months 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
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- An introductory tutorial about leveraging Ray core features for distributed patterns.☆78Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆143Updated 11 months ago
- Listens MLFlow model registry changes and deploy models based on configurations☆20Updated 2 years ago
- Distributed XGBoost on Ray☆149Updated last year
- Concept drift monitoring for HA model servers.☆102Updated 2 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆74Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated 2 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…☆39Updated 4 years ago