The overall architecture provides a number of advantages. It supports simple streaming of new data through Kafka, draws on out-of-the-box TensorFlow models, and persists data in a format that can ...

This project deploys a Neural Network trained with Keras and TensorFlow to a Kafka Streams / KSQL microservice for real time predictions. As TensorFlow's Java API is still not a stable release, this ...

📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, ...

The Electronic System Architecture Modeling (eSAM) method is a new model-based systems engineering (MBSE) approach for modeling system architectures. eSAM was created to effectively model Integrated ...