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An End-to-End Variational Autoencoder distributed learning pipeline with Spark, Kafka and Flask

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Dellagi/Variational-autoencoder-pipeline

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End-to-End Variational Autoencoder pipeline with Spark, Kafka and Flask

This project is an implementation of a variational autoencoder as part of a data pipeline for anomaly detection. The data pipeline uses a combination of flask, kafka, and spark to capture an image stream (e.g., a live stream from CCTV or in general any iot).

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An End-to-End Variational Autoencoder distributed learning pipeline with Spark, Kafka and Flask

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python bash docker flask kafka spark neural-network pipeline docker-compose pyspark autoencoder databricks

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