Shypd.aiThe largest open index of AI toolskafka-streams-machine-learning-examples is an open-source coding & development tool that provides examples for deploying analytic models to production environments. It leverages Apache Kafka and its Streams API, with models built using Python, H2O, TensorFlow, and Keras.
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This project offers practical examples demonstrating how to deploy analytic models to mission-critical, scalable production environments using Apache Kafka and its Streams API. It includes examples for models built with various technologies such as Python, H2O, TensorFlow, Keras, and DeepLearning4J. The repository provides use cases like deploying H2O GBM and Deep Learning models for flight delay prediction, TensorFlow CNN for image recognition, and DL4J models for Iris flower species prediction. It's designed for developers and data scientists looking to integrate machine learning models with Kafka for real-time, scalable applications, offering a hands-on approach to understanding the deployment process.
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