There are 2 repositories under scalable-machine-learning topic.
A Python library for efficient feature ranking and selection on sparse data sets.
Scalable/Distributed Computer Vision with Ray
Building Real-Time Inference Pipelines with Ray Serve
Use Apache Spark for large-scale data processing to predict customer churn
Serverless Machine Learning for Titanic Dataset
Projects completed for the Data Scientist Nanodegree with Udacity.
A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor
Lab Assignments for Scalable Machine Learning and Deep Learning course at KTH
Demo codes for ML with large scale of datasets (10-605)