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kaiwaehner / kafka-streams-machine-learning-examples

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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.

python java open-source machine-learning kafka deep-learning tensorflow h2o keras kafka-client kafka-streams dl4j keras-tensorflow h2oai deeplearning4j ksql
  • Updated Apr 23, 2020
  • Java

kaiwaehner / hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference

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Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

python java kubernetes mqtt cloud kafka mongodb tensorflow terraform gcp grpc data-lake confluent hivemq kafka-connect kafka-streams ksql ksqldb tiered-storage tensorflow-io
  • Updated Apr 6, 2020
  • Jupyter Notebook

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