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GitHub / kaiwaehner / kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kaiwaehner%2Fkafka-streams-machine-learning-examples

Stars: 834
Forks: 304
Open issues: 10

License: apache-2.0
Language: Java
Size: 51.5 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: 10 months ago
Pushed at: over 1 year ago
Last synced at: 10 months ago

Topics: deep-learning, deeplearning4j, dl4j, h2o, h2oai, java, kafka, kafka-client, kafka-streams, keras, keras-tensorflow, ksql, machine-learning, open-source, python, tensorflow

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