Kai Waehner (kaiwaehner)

kaiwaehner

Geek Repo

Company:Confluent

Location:Munich, Germany

Home Page:www.kai-waehner.de

Twitter:@KaiWaehner

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Kai Waehner's repositories

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.

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

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

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ksql-udf-deep-learning-mqtt-iot

Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data

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kafka-connect-iot-mqtt-connector-example

Internet of Things Integration Example => Apache Kafka + Kafka Connect + MQTT Connector + Sensor Data

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tensorflow-serving-java-grpc-kafka-streams

Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response

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python-jupyter-apache-kafka-ksql-tensorflow-keras

Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL

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ksql-fork-with-deep-learning-function

Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example

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iiot-integration-apache-plc4x-kafka-connect-ksql-opc-ua-modbus-siemens-s7

Industrial IoT (IIoT) Integration and Data Processing with Apache PLC4X, Kafka Connect, KSQL (OPC-UA, Modbus, Siemens S7)

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ksql-machine-learning-udf

Confluent KSQL Addon - User Defined Function (UDF) for Machine Learning

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ksql-apache-kafka-quickstart-step-by-step-example

KSQL Step-by-step tutorial using the basic functions of Apache Kafka's Streaming SQL Engine

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kafka-connect-smt-string-filter

Single Message Transformation (SMT) for Kafka Connect to Filter String Messages

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kafka-streams-machine-learning-docker-microservice

A Kafka Streams Microservice (using Machine Learning) deployed as a Docker Container

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kafka-streams-course

Learn Kafka Streams with several examples!

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Apache-Kafka-PipelineAI-Machine-Learning-Infrastructure

Machine Learning Infrastructure leveraging Apache Kafka Ecosystem, PipelineAI, Kubernetes and Docker

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tensorflow-tfserving-cloud-apache-kafka-streams

Model Inference with Apache Kafka, Kafka Streams and a TensorFlow model deployed to TF-Serving (Google Cloud ML Engine)

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blockchain-demo

A web-based demonstration of blockchain concepts.

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kafka-streams-python-integration-with-jep

Calling Python Code / Script in Kafka Streams with Jep (TensorFlow Keras Example)

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ksql

Confluent KSQL - Fork of project to enhance it with a User Defined Function (UDF) for Machine Learning.

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demo-scene

Scripts and samples to support Confluent Platform talks. May be rough around the edges. For automated tutorials and QA'd code, see https://github.com/confluentinc/quickstart-demos/

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examples

Demo applications and code examples for Confluent Platform and Apache Kafka

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keras-tensorflow-model-inference-kafka-streams-ksql-dl4j

Keras Tensorflow Model deployed for Inference in Kafka Streams / KSQL microservice via Deeplearning4j

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ksql-python

A python wrapper for the KSQL REST API.

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tensorflow-kafka-confluent-google-cloud

Deep Learning at Extreme Scale with TensorFlow and Apache Kafka / Confluent on Google Cloud

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conference-data

Conference data for confs.tech

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confluent-live-demo-scripts-and-docs

Scripts and documentation for my live demos around Kafka and Confluent

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

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h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

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kai-waehner-website-blog-backup

Backup and version control of my private website and blog

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plc4x

Apache PLC4X

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tensorflow

Computation using data flow graphs for scalable machine learning

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