kaiwaehner/ksql-fork-with-deep-learning-function
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
This project helps operations engineers perform continuous health checks on equipment by processing real-time sensor data. It takes in streams of sensor readings and immediately outputs anomaly scores, flagging unusual behavior for alerting. This is ideal for an operations engineer who monitors critical systems and needs to detect issues as they happen.
No commits in the last 6 months.
Use this if you need to detect anomalies in real-time sensor data for continuous health monitoring and alerting of your operational technology.
Not ideal if you don't have streaming sensor data or are not working within the Apache Kafka ecosystem.
Stars
80
Forks
36
Language
Java
License
Apache-2.0
Category
Last pushed
Jul 31, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kaiwaehner/ksql-fork-with-deep-learning-function"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lensacom/sparkit-learn
PySpark + Scikit-learn = Sparkit-learn
Angel-ML/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
flink-extended/dl-on-flink
Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow,...
tirthajyoti/Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython...