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.

Date Created 2017-08-16 (7 years ago)

Commits 145 (last one 4 years ago)

Stargazers 859 (0 this week)

Watchers 60 (0 this week)

Forks 307

License apache-2.0

Ranking

RepositoryStats indexes 628,836 repositories, of these kaiwaehner/kafka-streams-machine-learning-examples is ranked #61,124 (90th percentile) for total stargazers, and #33,368 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #4,190/29,374.

kaiwaehner/kafka-streams-machine-learning-examples is also tagged with popular topics, for these it's ranked: python (#3,351/23311), deep-learning (#1,478/8787), machine-learning (#1,529/8370), java (#1,352/7952), open-source (#453/2897), tensorflow (#500/2300), kafka (#145/865), keras (#158/809)

Other Information

kaiwaehner/kafka-streams-machine-learning-examples has 5 open pull requests on Github, 5 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 9 closed issues.

All Topics

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

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updated: 2025-03-15 @ 03:38pm, id: 100483465 / R_kgDOBf1BiQ