kaiwaehner
Kai Wähner works as Technolgy Evangelist at Confluent. He is regular speaker at international IT conferences. References: www.kai-waehner.de
ConfluentMunich, Germany
Pinned Repositories
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
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)
kafka-connect-iot-mqtt-connector-example
Internet of Things Integration Example => Apache Kafka + Kafka Connect + MQTT Connector + Sensor Data
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.
ksql-apache-kafka-quickstart-step-by-step-example
KSQL Step-by-step tutorial using the basic functions of Apache Kafka's Streaming SQL Engine
ksql-fork-with-deep-learning-function
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
ksql-machine-learning-udf
Confluent KSQL Addon - User Defined Function (UDF) for Machine Learning
ksql-udf-deep-learning-mqtt-iot
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
python-jupyter-apache-kafka-ksql-tensorflow-keras
Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL
tensorflow-serving-java-grpc-kafka-streams
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
kaiwaehner's Repositories
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.
kaiwaehner/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
kaiwaehner/ksql-udf-deep-learning-mqtt-iot
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
kaiwaehner/kafka-connect-iot-mqtt-connector-example
Internet of Things Integration Example => Apache Kafka + Kafka Connect + MQTT Connector + Sensor Data
kaiwaehner/tensorflow-serving-java-grpc-kafka-streams
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
kaiwaehner/python-jupyter-apache-kafka-ksql-tensorflow-keras
Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL
kaiwaehner/ksql-fork-with-deep-learning-function
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
kaiwaehner/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)
kaiwaehner/ksql-machine-learning-udf
Confluent KSQL Addon - User Defined Function (UDF) for Machine Learning
kaiwaehner/ksql-apache-kafka-quickstart-step-by-step-example
KSQL Step-by-step tutorial using the basic functions of Apache Kafka's Streaming SQL Engine
kaiwaehner/kafka-streams-machine-learning-docker-microservice
A Kafka Streams Microservice (using Machine Learning) deployed as a Docker Container
kaiwaehner/kafka-connect-smt-string-filter
Single Message Transformation (SMT) for Kafka Connect to Filter String Messages
kaiwaehner/kafka-streams-course
Learn Kafka Streams with several examples!
kaiwaehner/Apache-Kafka-PipelineAI-Machine-Learning-Infrastructure
Machine Learning Infrastructure leveraging Apache Kafka Ecosystem, PipelineAI, Kubernetes and Docker
kaiwaehner/blockchain-demo
A web-based demonstration of blockchain concepts.
kaiwaehner/kafka-streams-python-integration-with-jep
Calling Python Code / Script in Kafka Streams with Jep (TensorFlow Keras Example)
kaiwaehner/ksql
Confluent KSQL - Fork of project to enhance it with a User Defined Function (UDF) for Machine Learning.
kaiwaehner/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)
kaiwaehner/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/
kaiwaehner/examples
Demo applications and code examples for Confluent Platform and Apache Kafka
kaiwaehner/keras-tensorflow-model-inference-kafka-streams-ksql-dl4j
Keras Tensorflow Model deployed for Inference in Kafka Streams / KSQL microservice via Deeplearning4j
kaiwaehner/ksql-python
A python wrapper for the KSQL REST API.
kaiwaehner/tensorflow-kafka-confluent-google-cloud
Deep Learning at Extreme Scale with TensorFlow and Apache Kafka / Confluent on Google Cloud
kaiwaehner/conference-data
Conference data for confs.tech
kaiwaehner/confluent-live-demo-scripts-and-docs
Scripts and documentation for my live demos around Kafka and Confluent
kaiwaehner/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
kaiwaehner/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...)
kaiwaehner/kai-waehner-website-blog-backup
Backup and version control of my private website and blog
kaiwaehner/plc4x
Apache PLC4X
kaiwaehner/tensorflow
Computation using data flow graphs for scalable machine learning